What We Do: At the SEI AI Division, we conduct research in applied artificial intelligence and the engineering questions related to the practical design and implementation of AI technologies and systems. We currently lead a community-wide movement to mature the discipline of AI Engineering for Defense and National Security. As our government customers adopt AI and machine learning to provide leap-ahead mission capabilities, we - build real-world, mission-scale AI capabilities through solving practical engineering problems - discover and define the processes, practices, and tools to support operationalizing AI for robust, secure, scalable, and human-centered mission capabilities - prepare our customers to be ready for the unique challenges of adopting, deploying, using, and maintaining AI capabilities - identify and investigate emerging AI and AI-adjacent technologies that are rapidly transforming the technology landscape Are you creative, curious, energetic, collaborative, technology-focused, and hard-working? Are you interested in making a difference by bringing innovation to government organizations and beyond? Apply to join our team. Position Summary: As a senior machine learning engineer on our team, you will build machine learning capabilities using leading-edge technologies for important and challenging government problems and needs. Requirements: <ul><li>BS in Computer Science or equivalent experience with ten (10) years of experience; MS in Computer Science or equivalent experience with eight (8) years of experience; PhD in Computer Science or equivalent experience with five (5) years of experience.</li><li>Flexible to travel to other SEI offices in Pittsburgh and Washington, DC, sponsor sites, conferences, and offsite meetings on occasion. Moderate (25%) travel outside of your home location.</li><li>You will be subject to a background investigation and must be eligible to obtain and maintain a Department of Defense security clearance.</li><li>Applicants for this position must be currently legally authorized to work for CMU in the United States. CMU will not sponsor or take over sponsorship of an employment visa for this opportunity.</li></ul> Desired Experience: <ul><li>Technical Teamwork: You have experience participating on teams for a variety of machine learning and software development projects. You have experience working in collaborative coding environments, including open-source development projects.</li><li>Knowledge of Department of Defense and Intelligence Community: We consider it a plus if you are familiar with DoD or Intelligence Community practices and missions.</li></ul> Duties: <ul><li>Building Machine Learning Models and Systems: You will work with machine learning frameworks such as TensorFlow, PyTorch, Torch, and Caffe and modern programming languages including Python, C/C++, and Java. You will build and work with date pipelines, ETL processes, and backend systems. You will work with, extend, and implement state-of-the-art machine learning methods.</li><li>Technical Experimentation: You will experiment with modern and emerging machine learning frameworks, methods, and algorithms. Our team has recently explored inverse reinforcement learning, adversarial machine learning, and custom hardware for scalable, high-performance machine learning in application domains that include computer vision, natural language processing, planning and scheduling, robot control, and engineering safe, trusted, and reliable machine learning systems.</li></ul> Knowledge, Skills and Abilities: <ul><li>Communication and Collaboration: You have strong written and verbal communication skills and can interact collaboratively and diplomatically with customers and colleagues. You grasp the big picture, direction, and goals of an effort while focusing great attention to detail. You can present complex ideas to people who may not have a deep understanding of the subject area.</li><li>Dedication: You can meet deadlines while multi-tasking-sometimes under pressure and with shifting priorities.</li><li>Creativity and Innovation: You are creative and curious, and you are inspired by the prospect of collaborating with researchers at Carnegie Mellon University and other universities and organizations. You quickly learn new procedures, techniques, and approaches.</li><li>Knowledge and Learning: You possess broad technical experience and interest in computer science and applied technology such as human-computer interaction, data analytics and machine learning, advanced computing, autonomy, and adaptive systems.</li></ul> Location Arlington, VA, Pittsburgh, PA Job Function Software/Applications Development/Engineering Position Type Staff - Regular Full Time/Part time Full time Pay Basis Salary More Information: <ul><li>Please visit "Why Carnegie Mellon" to learn more about becoming part of an institution inspiring innovations that change the world.</li><li>Click here to view a listing of employee benefits</li><li>Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.</li><li>Statement of Assurance</li></ul>

What We Do: At the SEI AI Division, we conduct research in applied artificial intelligence and the engineering questions related to the practical design and implementation of AI technologies and systems. We currently lead a community-wide movement to mature the discipline of AI Engineering for Defense and National Security. As our government customers adopt AI and machine learning to provide leap-ahead mission capabilities, we - build real-world, mission-scale AI capabilities through solving practical engineering problems - discover and define the processes, practices, and tools to support operationalizing AI for robust, secure, scalable, and human-centered mission capabilities - prepare our customers to be ready for the unique challenges of adopting, deploying, using, and maintaining AI capabilities - identify and investigate emerging AI and AI-adjacent technologies that are rapidly transforming the technology landscape Are you creative, curious, energetic, collaborative, technology-focused, and hard-working? Are you interested in making a difference by bringing innovation to government organizations and beyond? Apply to join our team. Position Summary: As a senior machine learning engineer on our team, you will build machine learning capabilities using leading-edge technologies for important and challenging government problems and needs. Requirements: <ul><li>BS in Computer Science or equivalent experience with ten (10) years of experience; MS in Computer Science or equivalent experience with eight (8) years of experience; PhD in Computer Science or equivalent experience with five (5) years of experience.</li><li>Flexible to travel to other SEI offices in Pittsburgh and Washington, DC, sponsor sites, conferences, and offsite meetings on occasion. Moderate (25%) travel outside of your home location.</li><li>You will be subject to a background investigation and must be eligible to obtain and maintain a Department of Defense security clearance.</li><li>Applicants for this position must be currently legally authorized to work for CMU in the United States. CMU will not sponsor or take over sponsorship of an employment visa for this opportunity.</li></ul> Desired Experience: <ul><li>Technical Teamwork: You have experience participating on teams for a variety of machine learning and software development projects. You have experience working in collaborative coding environments, including open-source development projects.</li><li>Knowledge of Department of Defense and Intelligence Community: We consider it a plus if you are familiar with DoD or Intelligence Community practices and missions.</li></ul> Duties: <ul><li>Building Machine Learning Models and Systems: You will work with machine learning frameworks such as TensorFlow, PyTorch, Torch, and Caffe and modern programming languages including Python, C/C++, and Java. You will build and work with date pipelines, ETL processes, and backend systems. You will work with, extend, and implement state-of-the-art machine learning methods.</li><li>Technical Experimentation: You will experiment with modern and emerging machine learning frameworks, methods, and algorithms. Our team has recently explored inverse reinforcement learning, adversarial machine learning, and custom hardware for scalable, high-performance machine learning in application domains that include computer vision, natural language processing, planning and scheduling, robot control, and engineering safe, trusted, and reliable machine learning systems.</li></ul> Knowledge, Skills and Abilities: <ul><li>Communication and Collaboration: You have strong written and verbal communication skills and can interact collaboratively and diplomatically with customers and colleagues. You grasp the big picture, direction, and goals of an effort while focusing great attention to detail. You can present complex ideas to people who may not have a deep understanding of the subject area.</li><li>Dedication: You can meet deadlines while multi-tasking-sometimes under pressure and with shifting priorities.</li><li>Creativity and Innovation: You are creative and curious, and you are inspired by the prospect of collaborating with researchers at Carnegie Mellon University and other universities and organizations. You quickly learn new procedures, techniques, and approaches.</li><li>Knowledge and Learning: You possess broad technical experience and interest in computer science and applied technology such as human-computer interaction, data analytics and machine learning, advanced computing, autonomy, and adaptive systems.</li></ul> Location Arlington, VA, Pittsburgh, PA Job Function Software/Applications Development/Engineering Position Type Staff - Regular Full time/Part time Full time Pay Basis SalaryMore Information: <ul><li>Please visit "Why Carnegie Mellon" to learn more about becoming part of an institution inspiring innovations that change the world.</li><li>Click here to view a listing of employee benefits</li><li>Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.</li><li>Statement of Assurance</li></ul>

What We Do: At the SEI AI Division, we conduct research in applied artificial intelligence and the engineering questions related to the practical design and implementation of AI technologies and systems. We currently lead a community-wide movement to mature the discipline of AI Engineering for Defense and National Security. As our government customers adopt AI and machine learning to provide leap-ahead mission capabilities, we - build real-world, mission-scale AI capabilities through solving practical engineering problems - discover and define the processes, practices, and tools to support operationalizing AI for robust, secure, scalable, and human-centered mission capabilities - prepare our customers to be ready for the unique challenges of adopting, deploying, using, and maintaining AI capabilities - identify and investigate emerging AI and AI-adjacent technologies that are rapidly transforming the technology landscape Are you creative, curious, energetic, collaborative, technology-focused, and hard-working? Are you interested in making a difference by bringing innovation to government organizations and beyond? Apply to join our team. Position Summary: As a senior machine learning engineer in the AI for Autonomy Lab, you will identify, shape, apply, conduct, and lead engineering research that matches critical U.S. government needs. The AI for Autonomy Lab researches and demonstrates the application of AI-related technologies for improving the performance of autonomy systems. Requirements: •BS in Computer Science or related discipline with ten (10) years of experience; MS in the same fields with eight (8) years of experience; PhD in Computer Science with five (5) years of experience. •Flexible to travel to other SEI offices in Pittsburgh and Washington, DC, sponsor sites, conferences, and offsite meetings on occasion. Moderate (25%) travel outside of your home location. •You will be subject to a background investigation and must be eligible to obtain and maintain a Department of Defense security clearance. Applicants for this position must be currently legally authorized to work for CMU in the United States. CMU will not sponsor or take over sponsorship of an employment visa for this opportunity. Duties: •Solution Development: You'll work with and lead interdisciplinary teams to turn research results into prototype operational capabilities for government customers and stakeholders. •Hands-on Prototyping: You'll conduct and lead novel prototyping in applied artificial intelligence with a focus on machine learning in autonomy and uncrewed systems (multi-domain). •Strategy: You'll work with AI Division leaders and colleagues to plan, develop, and carry out an overall research and engineering strategy, and to influence the national research and engineering agenda regarding future technology. •Collaboration: You'll actively participate on teams of software developers, researchers, designers, and technical leads. You'll build relationships and collaborate with researchers, government customers, and other stakeholders to understand challenges, needs, possible solutions, and research and engineering directions. •Mentoring: You'll contribute to improving the overall technical capabilities of the team by mentoring and teaching others, participating in design (software and otherwise) sessions, and sharing insights and wisdom across the SEI Artificial Intelligence Division. Knowledge, Skills, and Abilities: •Deep Technical Knowledge: You have performed extensive research or engineering activities in applied machine learning and artificial intelligence. You have worked with tools, techniques, algorithms, software, and programming languages for deep learning, reinforcement learning, statistics, sensors and sensor fusion, planning, computer vision, or related areas. In addition, you have demonstrated applying systems engineering principles and collaborated across multi-disciplinary project teams. You have supported multiple phases of the engineering lifecycle and understand the requirements for successful deployment and operation of complex systems. <ul><li>Machine Learning: You have profound understanding of machine learning principles and have experience in applying machine learning techniques to real-world problems, showcasing a track record of successful implementations. You have designed and implemented complex machine learning functions and architectures tailored to specific autonomous systems. You are familiar with simulation environments and their role in training and testing machine learning models.</li><li>Robotics & Autonomy: You have a strong understanding of robotics principles and design techniques for air, sea, or land-based vehicles. You have experience applying machine learning within these domains and understand the related implications and challenges. Your experience includes areas such as sensor fusion, navigation, object search/tracking, collision avoidance, multi-agent collaboration, and human-machine teaming.</li><li>Test & Evaluation: You have designed and conducted test and evaluation activities for ML components to assess operational fit and readiness. You have experience working with model experimentation software, such as MLFlow or Weights & Biases for rigorous model development and selection.</li><li>Applied Full-Stack Implementation: You have strong development experience and can design and implement software and systems resources for packaging and managing requirements for AI/ML prototypes. You frequently use tools like Docker to manage software resources and pipeline orchestration. You may have experience building applications in cloud platforms (Azure, AWS, Google Cloud Platform).</li></ul> •Communication and Collaboration: You have strong written and verbal communication skills and can interact collaboratively and diplomatically with customers and colleagues. You grasp the big picture, direction, and goals of an effort while focusing great attention to detail. You can present complex ideas to people who may not have a deep understanding of the subject area. •Dedication: You can meet deadlines while multi-tasking-sometimes under pressure and with shifting priorities. •Creativity and Innovation: You are creative and curious, and you are inspired by the prospect of collaborating with premier members of the technical staff and other visionaries at Carnegie Mellon and other universities and organizations. You quickly learn new procedures, techniques, and approaches. You are forward-looking and can connect research and engineering with practical challenges. •Knowledge and Learning: You possess broad technical interests along with a deep knowledge of a particular field such as machine learning, autonomy and adaptive systems, or data analytics. Desired Experience: •Thought Leadership and Publications: You have a track record of synthesizing lessons learned from research or engineering activities for publication. You have a reputation for the highest level of research and engineering integrity. You have demonstrated contributions and have published research, code (e.g., models, data, software applications), or technical perspectives. •Familiarity with Emerging Trends and Opportunities: You are familiar with technical challenges and emerging trends in computing and information science, and you are aware of opportunities in industry and government. •Technical Leadership: You have led technical projects and have experience collaborating across research teams and mentoring other researchers. •Proposals: You have formulated and delivered successful research and engineering proposals to funding agencies and led the resulting projects. •Government Projects: You have worked or are familiar with Navy, Marine, Air Force, Army, Space Force, DARPA, IARPA, Service Labs, or other government research sponsors. Location Arlington, VA, Pittsburgh, PA Job Function Software/Applications Development/Engineering Position Type Staff - Regular Full Time/Part time Full time Pay Basis Salary More Information: <ul><li>Please visit "Why Carnegie Mellon" to learn more about becoming part of an institution inspiring innovations that change the world.</li><li>Click here to view a listing of employee benefits</li><li>Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.</li><li>Statement of Assurance</li></ul>

Hope you are doing great. My name is Priyanshu Kumar and I am a Sr.Technical Recruiter in United Software Group Inc., an Ohio based fast growing multi-national IT & Engineering Consulting Company, serving its Clients from last 20 years having staff strength of 2500 in 17 offices globally, operating across 8 countries in North America, Latin America, Asia Pacific and Europe. Title- Machine learning Engineer Location- Pittsburgh, PA ,Birmingham, Alabama ,Dallas, TX ,Cleveland, OH ,Phoenix, AZ (Remote if not near tech hub, exhausted 1st preference ) Jd: <ul> <li>Experience with ARIMA </li> <li>Experience with FB Prophet </li> <li>Experience with Python </li> <li>Experienced ML engineer to work on universal forecasting models </li> <li>Gluon </li> <li>HADOOP </li> <li>Seasonal Naive </li> <li>The application architecture is represented by OpenShift, linux, Oracle, SQL Server, Hadoop, MongoDB, APIs and a great deal of Python code. </li> </ul> Thanks & Regards, Priyanshu Kumar|| Sr.Technical Recruiter|| Direct: 216-350-3889, 614-495-9222 Ext 469 USG is recognized by INC.5000 as America's Fastest-Growing Private Companies. USG is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, gender, age, disability, military status, national origin or any other characteristic protected under federal, state, or applicable local law. To unsubscribe from this mailing, please reply to this email with the word UNSUBSCRIBE in the subject line, or click here UNSUBSCRIBE.

At the SEI AI Division, we conduct research in applied artificial intelligence and the engineering questions related to the practical design and implementation of AI technologies and systems. We currently lead a community-wide movement to mature the discipline of AI Engineering for Defense and National Security. As our government customers adopt AI and machine learning to provide leap-ahead mission capabilities, we •build real-world, mission-scale AI capabilities through solving practical engineering problems •discover and define the processes, practices, and tools to support operationalizing AI for robust, secure, scalable, and human-centered mission capabilities •prepare our customers to be ready for the unique challenges of adopting, deploying, using, and maintaining AI capabilities •identify and investigate emerging AI and AI-adjacent technologies that are rapidly transforming the technology landscape Are you creative, curious, energetic, collaborative, technology-focused, and hard-working? Are you interested in making a difference by bringing innovation to government organizations and beyond? Apply to join our team. Overview: As a Senior Machine Learning Engineer, you will specialize in engineering solutions that support Adversarial Machine Learning (AML) research. The Secure AI Lab within the SEI's AI Division focuses on improving the security and robustness of AI systems. As part of the world-class research community at Carnegie Mellon University, the Lab conducts and applies cutting-edge research to protect AI systems from adversaries who aim to manipulate the system to learn, do, or reveal something it isn't supposed to. The Secure AI Lab consists of machine learning research scientists, machine learning engineers, and software developers who work together to solve problems in the following areas: •AI/ML Algorithm Attack Research: Study threat models targeting AI/ML algorithms, identify weak points, and design novel ways to subvert AI/ML systems. •AI/ML Algorithm Defense Research: Create practical mitigations and defenses for observed attacks affecting AI/ML algorithms and evaluate the effectiveness of defensive techniques. •Applied AML: Advance the state of the art in Adversarial Machine Learning by developing and transitioning capabilities to government sponsors. As an engineer, you will solve problems for government sponsors by analyzing, designing, and building responsible AI systems. Your day-to-day engineering tasks will include: •Identifying and Investigating emerging AI and AI-adjacent technologies. •Defining and Refining processes, practices, and tools for working with AI. •Designing and Building well-engineered prototypes of AI systems. •Transitioning and Providing guidance on AI capabilities to government sponsors. Duties •Building Machine Learning Models and Systems: You will work with machine learning frameworks such as TensorFlow, PyTorch, Torch, and Caffe and modern programming languages including Python, C/C++, and Java. You will build and work with date pipelines, ETL processes, and backend systems. You will work with, extend, and implement state-of-the-art machine learning methods. •Technical Experimentation: You will experiment with modern and emerging machine learning frameworks, methods, and algorithms in application domains that include computer vision, natural language processing, planning and scheduling, robot control, and engineering safe, trusted, and reliable machine learning systems. •Testing and evaluation. You'll conduct rapid prototyping to demonstrate and evaluate technologies in relevant environments. You'll evaluate systems for performance and security. You'll test capabilities using novel testing and analysis techniques. •Collaboration. You'll actively participate on teams of developers, researchers, designers, and technical leads. You'll collaborate with researchers and our government customers to understand challenges, needs, and possible solutions. You'll contribute to improving the overall technical capabilities of the Division by mentoring and teaching others, participating in design (software and otherwise) sessions, and sharing insights and wisdom across the SEI. Knowledge and Experience •Comprehensive knowledge of machine learning; previous experience in adversarial machine learning preferred •A track record of using well-established engineering practices to solve difficult problems •An understanding of how to convert research results into functioning prototypes or capabilities •Experience leading technical projects in novel areas with limited previous work to build upon •Ability to work with leadership to plan, develop, and deliver an overall research strategy •Strong written and verbal communication skills; able to convey complex technical ideas in a layperson's terms •Proficiency in writing funding proposals or pitching ideas for new research projects •Ample experience with publishing written or technical artifacts showcasing your work •Strong collaboration skills for working with colleagues and sponsors •Willingness to guide and mentor junior team members Requirements •A bachelor's degree in computer science, statistics, machine learning, electrical engineering, or related discipline with ten (10) years of experience; OR MS in the same fields with eight (8) years of experience; OR PhD in with five (5) years of experience •An active Department of Defense TS/SCI security clearance is required. •Legally authorized to work for Carnegie Mellon University in the United States. CMU will not sponsor or take over sponsorship of an employment visa for this opportunity. •Willing to travel up to 25% of the time to locations outside of your home location. Travel sites include SEI offices in Pittsburgh and Washington, D.C., sponsor sites, and conferences. Location Pittsburgh, PA Job Function Software/Applications Development/Engineering Position Type Staff - Regular Full time/Part time Full time Pay Basis SalaryMore Information: <ul><li>Please visit "Why Carnegie Mellon" to learn more about becoming part of an institution inspiring innovations that change the world.</li><li>Click here to view a listing of employee benefits</li><li>Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.</li><li>Statement of Assurance</li></ul>

Company Description Govini transforms Defense Acquisition from an outdated manual process to a software-driven strategic advantage for the United States. Our flagship product, Ark, supports Supply Chain, Science and Technology, Production, Sustainment, and Modernization teams with AI-enabled applications and best-in-class data to more rapidly imagine, develop, and field the capabilities we need. Today, the national security community and every branch of the military rely on Govini to enable faster and more informed Acquisition decisions. Job Description We are seeking a Machine Learning Engineer to join our team to build cutting-edge machine learning technologies that will replace complex, time-consuming, manual processes with automation and intelligence that will help Govini end-users make scientific and analytical decisions. We're looking for world-class talent to join our team where you will have the opportunity to help develop solutions from data collection to large-scale data manipulation to long-term data storage and low-latency retrieval, reporting, and analytical systems to solve big data problems that drive business performance. In order to do this job well, you must be a curious and eager problem solver with a hunger for building well-designed, high-quality solutions. You have a passion for great work and nothing less than your best will do. You share our intolerance of mediocrity. You're uber-smart, challenged by figuring things out and producing simple solutions to complex problems. Knowing there are always multiple answers to a problem, you know how to engage in a constructive dialogue to find the best path forward. You're scrappy. We like scrappy. This role is a full-time position located out of our office in Pittsburgh, PA. This role may require up to 10% travel Scope of Responsibilities <ul><ul><li>Actively create, architect, and deliver state-of-the-art machine learning solutions designed to add intelligence to our data analysis and software-as-a-service platform</li><li>Establish meaningful criteria for evaluating algorithm performance and suitability</li><li>Develop clear software specifications for implementing trained models</li><li>Implement working, scalable, production-ready Machine Learning and AI Process Automation models and code</li><li>Optimize processes for maximum speed, performance, and accuracy</li><li>Participate in the end-to-end software development of new feature functionality and design capabilities</li><li>Craft clean, testable, and maintainable code</li><li>Keep up to date with Machine Learning best practices and evolving open-source frameworks</li><li>Regularly seek out innovation and continuous improvement, finding efficiency in all assigned tasks</li><li>Collaborate closely with fellow software engineers, data scientists, data engineers, and QA engineers</li></ul></ul> Qualifications <ul><ul><li>US Citizenship is required</li> Required Skills: <li>Bachelor's, Master's, or Doctorate in Computer Science, Computer Engineering, Data Science, or a related field</li><li>Minimum 3 years experience in hands-on development of machine learning models</li><li>Practical experience in building, developing, and productionizing machine learning systems</li><li>Advanced software skills in Python</li><li>Experience with common NLP algorithms and implementations</li><li>Hands-on experience with AWS and cloud infrastructure</li><li>A strong desire to learn and investigate new technologies</li><li>Familiarity with Git source control management</li><li>Prior hands-on experience working with data-driven analytics</li><li>Ability to work collaboratively with little supervision</li><li>A burning desire to work in a challenging fast-paced tech environment</li> Desired Skills: <li>Current possession of a U.S. security clearance, or the ability to obtain one with our sponsorship</li><li>Experience in or exposure to the nuances of a startup or other entrepreneurial environment</li><li>Track record of implementing data-driven products </li><li>Experience in or exposure to the nuances of a startup or other entrepreneurial environment</li><li>Experience in deploying ML models in Kubernetes environments</li><li>2 years of experience developing and deploying modern NLP models</li></ul></ul> We firmly believe that past performance is the best indicator of future performance. If you thrive while building solutions to complex problems, are a self-starter, and are passionate about making an impact in global security, we're eager to hear from you. Govini is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status or any other characteristic protected by law.

Role: Machine Learning Engineer (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Summary: Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value-adding features and services, thereby solidifying our market leadership and technological forefront for our clients. About Adidev Technologies Inc. Adidev Technologies,(www.adidevtechnologies.com) is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company - we're a dynamic force shaping the future of technology. Partnering with industry giants, we consistently deliver groundbreaking solutions that redefine the digital landscape. As we continue to expand our footprint, we're on the hunt for exceptional individuals who can bring their technical prowess to our team and elevate our projects to new levels of innovation. Expertise: We excel in IT consultative services and quality engineer development, with Good years of experience. Global Presence: Our diverse employee workforce spans four continents. Proven Track Record: Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects across the USA. How We'll Guide You Teaching and Development: We are dedicated to nurturing your growth and development, shaping you into an exceptional consultant capable of delivering top-tier solutions to our end clients. Custom Support: An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your success. Project Placement: A market-expertise team ensures you secure and thrive in projects with our esteemed clients. Career Growth: We facilitate industry experience to propel your technical journey forward. Key Responsibilities: •Architect and refine sophisticated ML models and algorithms, translating complex datasets into actionable solutions. •Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring. •Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. •Lead cross-functional collaborations to integrate Generative AI models into our offerings, enhancing product capabilities and user experiences. •Apply advanced analytical techniques to analyze vast datasets, identifying trends, anomalies, and opportunities for improvement. •Execute data preprocessing, feature engineering, and algorithm optimization to enhance model accuracy and efficiency. •Conduct exploratory data analysis to extract valuable insights and influence strategic decisions. •Keep abreast of and implement the latest ML trends, tools, and best practices, including AutoML, MLOps, and interpretability frameworks. •Promote compliance with industry standards and regulatory requirements, emphasizing ethical AI practices. Requirements: •Degree in Computer Science, Engineering, Statistics, or a related technical field. •Demonstrable experience in machine learning, deep learning, NLP, computer vision, reinforcement learning, and/or other AI domains. •Demonstrable experience with Generative AI models and frameworks, such as GANs or Transformers, applied in industry settings. •Practical experience with SQL/NoSQL databases, data visualization tools, and version control systems. •Strong foundational understanding of algorithmic complexity and data structure optimization. •Excellent problem-solving, collaboration, and communication abilities. •Develop and implement cutting-edge machine learning models, with a particular focus on Generative AI applications such as text generation, image synthesis, and creative AI. •Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. •Stay ahead of AI research, especially in Generative AI, applying the latest findings and techniques to drive innovation within our projects. •Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn). •Strong background in cloud computing and big data platforms (AWS, Azure, GCP), with hands-on experience in cloud-based ML services and serverless architectures. •Familiarity with DevOps for AI, including containerization (Docker, Kubernetes), CI/CD pipelines, and MLOps practices. •Facilitate knowledge sharing and best practices in AI/ML, particularly focusing on Generative AI, within the team. •Ensure all AI implementations are compliant with ethical guidelines and data privacy standards. How to Apply: Interested candidates are invited to submit a comprehensive application, including a latest updated resume and a detailed cover letter, showcasing your expertise. Perks and Beyond! Competitive salary range: Based on experience and market value Pack your bags! Paid relocation is on us. Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to Embark? we invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects. At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth. Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life. Your unique perspective could be the catalyst for our next revolutionary breakthrough

Machine Learning Engineer Jobs in Pittsburgh, PA

Senior Machine Learning Engineer
October 22, 2024

Senior Machine Learning Engineer
October 21, 2024

Senior Machine Learning Engineer Autonomy Lab
October 19, 2024

Machine Learning Engineer
October 17, 2024

Senior Machine Learning Engineer Secure Ai Lab
October 17, 2024

Machine Learning Engineer
October 11, 2024

Machine Learning Engineer
October 8, 2024

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Machine Learning Engineer Jobs in Pittsburgh, PA

Senior Machine Learning EngineerOctober 22, 2024

Senior Machine Learning EngineerOctober 21, 2024

Senior Machine Learning Engineer Autonomy LabOctober 19, 2024

Machine Learning EngineerOctober 17, 2024

Senior Machine Learning Engineer Secure Ai LabOctober 17, 2024

Machine Learning EngineerOctober 11, 2024

Machine Learning EngineerOctober 8, 2024