Job descriptioneizen.ai is an exciting new startup building next generation AI systems based on the cognitive theories of mind. Our approach is hybrid, knowledge-driven, reasoning-based approach, centered around cognitive models in building robust AI systems We’re looking for an experienced individual who is well versed with Python Development and AI technologies around image and video analysis. About the role: In 2014, two important breakthrough papers gave deep learning the start in video recognition. Large-scale Video Classification with Convolutional Neural Networks by Karpathy et. al. and Two-Stream Convolutional Networks for Action Recognition in Videos by Simonyan and Zisserman gave rise to the popularity of single stream and two stream networks in action recognition. The current state of the art for action recognition is the channel separated network. This network effectively captures spatial and spatiotemporal features in their own distinct layers. Your role will be building state-of-the art computer vision algorithms for building the action recognition models. Responsibilities: <ul><li>Writing effective and scalable Python codes</li><li>Designing and implementing robust applications</li><li>Debugging applications to ensure low-latency and high-availability</li><li>Integrating user-facing elements with server-side logic</li><li>Implementing security and data protection</li><li>Accommodating various data storage solution</li><li>Given that this is an early-stage startup, you will play an active role in functional requirements into concrete deliverables and build quick prototypes or proofs of concept</li><li>Ensure the quality of architecture and design of systems.</li><li>Possess expert knowledge in algorithm performance, its scalability and engineering best practices</li></ul> Qualifications: <ul><li>Bachelors with 0-5+ years or MS with 0-3+ in engineering</li><li>Minimum 5 experience in Machine Learning & Data Science Frameworks</li><li>Knowledge in TensorFlow / PyTorch</li><li>Experience in developing Python using FastAPI / FLASK frameworks</li><li>Nice to have “Building Data Pipelines”</li><li>Knowledge in GPU technologies and frameworks – CUDA, NVIDIA computer vision SDKs</li><li>Practical experience with software engineering best-practices and a strong desire to create quality solutions and designs</li><li>Experience in design and implementation of large scale, distributed, high performance, and high availability systems</li><li>General understanding of ML concepts (Feature extraction, training regimes, etc)</li><li>Nice to have proven production systems based on Computer Science fundamentals such as: Computer Vision, algorithm design, problem solving, and complexity analysis, data structures, and object-oriented design</li><li>Linux environment.</li><li>Ability to document design and document code, write unit tests</li><li>Normal to medium level experience with TDD (test driven development)</li></ul> Why you might want to join the eizen.ai team<ul><li>Going to be part of shaping one of the most exciting AI companies</li><li>Opportunity to learn from peer group including experts in AI, computer vision & robotics to Data Engineering and System Engineering</li><li>Publish ! Publish ! Publish papers in top-conferences (CVPR, NeurIPS, AIAAA)</li><li>Sharp, motivated co-workers in a fun office environment</li></ul> eizen.ai’s culture was built on the following values that are equally important to us as business:<ul><li>Put employees first. We only succeed when our employees succeed.</li><li>Think Big. Be ambitious and have audacious goals.</li><li>Aim for excellence. Quality and excellence count in everything we do.</li><li>Own it and get it done. Results matter!</li><li>Embrace each others’ differences</li></ul> We offer ESOPS to the deserved candidates !Please provide your information: https://forms.office.com/r/y9JFDDEZqX Contact Details:careers@eizen.aihttps://eizen.ai/

About EverestDXEverest DX – We are a Digital Platform Services company, headquartered in Stamford. Our Platform/Solution includes Orchestration, Intelligent operations with BOTs’, AI-powered analytics for Enterprise IT. Our vision is to enable Digital Transformation for enterprises to deliver seamless customer experience, business efficiency and actionable insights through an integrated set of futuristic digital technologies.Digital Transformation Services - Specialized in Design, Build, Develop, Integrate, and Manage cloud solutions and modernize Data centers, build a Cloud-native application, and migrate existing applications into secure, multi-cloud environments to support digital transformation.Our Digital Platform Services enable organizations to reduce IT resource requirements and improve productivity, in addition to lowering costs and speed digital transformation. For more information, please visit <a>https://www.everestdx.com</a>. Job Title: ML Ops EngineerLocation: RemoteJob Type: Full-TimExperience: 6-8 Years of Relevant Work ExperienceJob OverviewWe are seeking a skilled and experienced ML Ops Engineer to join our dynamic team. The ideal candidate will have a strong background in ML Ops/DevOps, with expertise in configuring CICD pipelines and working with ADF Pipelines on Databricks. You will be responsible for the seamless deployment, integration, and management of machine learning models into production environments. If you have hands-on experience in ML-Flow and Python, we encourage you to apply and be part of a fast-growing team working on cutting-edge technologies Key Responsibilities<ul><li>Configure, manage, and maintain CI/CD pipelines for deploying machine learning models and applications in production</li><li>Work with Azure Data Factory (ADF) pipelines integrated with Databricks to manage data workflows for machine learning projects</li><li>Develop, deploy, and monitor machine learning models and ensure seamless integration into production environments</li><li>Leverage ML-Flow to manage machine learning lifecycle, including tracking experiments, model training, and deployment</li><li>Collaborate with data scientists and engineers to optimize data processing and model deployment workflows</li><li>Ensure the scalability, performance, and reliability of production-level ML models and systems</li><li>Implement automated testing strategies for ML models and pipelines</li><li>Troubleshoot and resolve production issues related to machine learning models, data pipelines, and infrastructure</li><li>Participate in the design and development of infrastructure for ML model training and deployment</li></ul> Required Skills & Qualifications<ul><li>6-8 years of experience in ML Ops, DevOps</li><li>Strong hands-on experience in configuring CI/CD pipelines for machine learning workflows</li><li>Proven experience working with Azure Data Factory (ADF) pipelines and Databricks</li><li>In-depth knowledge of ML-Flow for model tracking and versioning</li><li>Proficiency in Python for model development, deployment, and automation tasks</li><li>Experience with containerization technologies like Docker and orchestration tools such as Kubernetes</li><li>Solid understanding of cloud platforms (preferably Azure)</li><li>Strong problem-solving skills and ability to troubleshoot complex issues related to machine learning pipelines and models</li><li>Excellent communication and collaboration skills, with the ability to work in cross-functional teams</li></ul>Preferred Skills<ul><li>Familiarity with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-Learn).</li><li>Experience with version control systems like Git</li><li>Knowledge of infrastructure-as-code tools like Terraform or ARM templates</li><li>Familiarity with monitoring and logging tools (e.g., Prometheus, Grafana)</li></ul> Educational Qualifications<ul><li>Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.</li></ul> Why Join Us<ol><li>Continuous Learning: The company invests in skills development through training, certifications, and access to cutting-edge projects in digital transformation.</li><li>Dynamic, Collaborative Culture: Unlike a large, rigid structure, Everest DX promotes a culture of open communication, creativity, and innovation.</li><li>Agile Work Environment: The company operates with a startup mindset, adapting quickly to changes, which can be more stimulating than rigid corporate processes.</li><li>Innovative Solutions: Working at a boutique company like Everest DX provides exposure to cutting-edge technologies, creative problem-solving, and innovative product development.</li><li>Competitive Salaries: Despite being a boutique company, Everest DX ensures competitive compensation packages that are comparable to industry standards.</li></ol>

LTIMindtree is looking for Machine Engineer. Primary Skill -Machine Learning + GENAI + Python - GCP/AWS/Azure Responsibilities Deploying machine learning models into production environments Monitoring the performance of deployed models and ensuring they continue to produce accurate results Managing and maintaining the infrastructure required for machine learning operations Collaborating with data scientists and IT teams to streamline the workflow for ML projects Automating the processes involved in the deployment and maintenance of ML models Ensuring the scalability and reliability of ML models in production Skills Required Proficiency in programming languages such as Python Scala and Java Experience with machine learning frameworks and libraries like TensorFlow PyTorch and Scikitlearn Knowledge of Azure cloud platform Familiarity with containerization technologies like Docker and Kubernetes Strong understanding of CICD pipelines and DevOps practices Excellent problemsolving skills and the ability to work in a team environment This role is crucial for businesses looking to leverage the potential of AI and ML in their operations ensuring that machine learning models can be deployed quickly reliably and at scale

Role: Machine Learning EngineerExperience range: 6-12 yearsLocation: Bangalore/Bhubaneswar/PUNE/Kochi/Noida/Hyderabad Job description: Required Technical Skill : Machine Learning, Gen AI, LLM, NLP Job Description:<ol><li>Must have 5+ years of IT experience</li><li>Strong Requirement Elicitation & Analysis skills</li><li>Should have the capability to understand requirements and convert to design and provide pass the same seamlessly to the team who is working on the same.</li><li>Extensive knowledge on statistical and analytical analysis</li><li>Used Machine Learning framework in various environments</li><li>Create Machine Learning algorithm and deliver results by reducing computational complexity</li></ol>

Role DescriptionThis is a full-time remote role for a Machine Learning Engineer at Jobtrix | Powered by Kyla. The Machine Learning Engineer will be responsible for tasks such as pattern recognition, developing neural networks, implementing statistical analysis, and designing algorithms to enhance our hiring platform. Requirements<ul><li>Bachelor’s degree in Computer Science, Engineering, Mathematics, or Information Systems or</li></ul>equivalent combination of education and experience.<ul><li>3+ years of professional experience leading medium to large projects as a senior machine learning</li></ul>engineer designing, developing, deploying and supporting machine learning models and platforms.<ul><li>5+ years of professional machine learning experience preferred.</li><li>Highly advanced experience with the entire Software Development Life Cycle (SDLC) of deploying</li></ul>machine learning models to production in multiple domains, such as classification, NaturalLanguage Processing (NLP), computer vision, recommendation systems, and forecasting<ul><li>Experience translating business requirements to technical solutions and developing technical</li></ul>specifications and documentation for use in the development and prioritization of work<ul><li>Oral, written and interpersonal skills to interact and communicate effectively and professionally</li></ul>with technical and nontechnical stakeholders and mentor junior developers<ul><li>Advanced experience implementing machine learning algorithms in Python such as linear</li></ul>regression, logistic regression, decision trees, random forests, support vector machines (SVMs),Naive Bayes, neural networks, clustering, dimensionality reduction, and natural languageprocessing (NLP).<ul><li>Strong problem-solving skills and the ability to work independently or in a team environment</li></ul>Advanced experience with industry tools and platforms used to build scalable machine learningsystems, such as Elasticsearch, Kubernetes, Docker, Redis, Apache Kafka, SQL, NoSQL,<ul><li>Infrastructure as Code (IaC), AWS Lambda, and/or Apache Spark.</li><li>Experience building a CI/CD pipeline with GitHub Actions, TravisCI, or others</li><li>Experience with cloud computing platforms such as AWS, Azure, or GCP.</li><li>Experience developing web applications and/or mobile applications.</li><li>JavaScript experience preferred.</li></ul> Qualifications<ul><li>Pattern Recognition and Neural Networks expertise</li><li>Strong background in Computer Science</li><li>Proficiency in Statistics and Algorithms</li><li>Experience with Machine Learning frameworks and libraries</li><li>Ability to work independently and remotely</li><li>Excellent problem-solving and analytical skills</li><li>Master's degree or PhD in Computer Science, Statistics, or related field</li></ul>

Machine Learning Engineer Jobs in Hyderabad, Telangana

Machine Learning Engineer
December 15, 2024

Machine Learning Engineer
December 7, 2024

Machine Learning Engineer
December 5, 2024

Machine Learning Engineer
December 1, 2024

Machine Learning Engineer
November 28, 2024

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Machine Learning Engineer Jobs in Hyderabad, Telangana

Machine Learning EngineerDecember 15, 2024

Machine Learning EngineerDecember 7, 2024

Machine Learning EngineerDecember 5, 2024

Machine Learning EngineerDecember 1, 2024

Machine Learning EngineerNovember 28, 2024