mavQ is seeking a motivated Senior Machine Learning Engineer to join our team. mavQ is a low-code Artificial Intelligence platform that enables organizations to build fast, cohesive, and user-friendly applications to digitally transform while creating valuable insights. mavQ offers AI-enabled products such as Intelligent document processing, a contact center platform, a suite of electronic research administration tools, DataX- a data orchestration and pipeline tool with a built-in machine learning workbench, and more. mavQ also offers professional services for full-stack development and AI services on a multi-cloud ecosystem. <a>Learn more...</a> Work Location: Hyderabad/Jaipur, IndiaWork Mode: Hybrid Responsibilities:<ul><li>Productionalizing machine learning models for customers and products.</li><li>Managing model deployment through CI/CD pipelines, monitoring performance, and utilizing log analysis; experience with Kubernetes is required.</li><li>Research and Development in Large Language Models (LLMs) and Transformer models in images, video, text, audio, and structured data domains</li><li>Technical reviews of AI models and implementations and provide feedback, mentorship, and optimisation best practices to the team</li><li>Maintain and update production AI models based on feedback from stakeholders</li><li>Define and implement evaluation strategies for each model, demonstrate applicability and performance of the model</li><li>Effectively communicating with customers and collaborating with cross-functional teams.</li><li>Developing Proof of Concepts to quickly implement new business use cases.</li><li>Collaborate with a team of ML Engineers, Project managers, Software Developers, Engineering Team and stakeholders to drive innovation of scalable ML and AI</li></ul> What you will bring:<ul><li>Bachelors or Masters degree in a quantitative field such as Computer Science, IT, Stats/Maths</li><li>5-7 years of experience in the field of artificial intelligence and demonstrated successful implementation if industry grade AI solutions in the past</li><li>Experience in multi-modal neural networks, transformers, computer vision, document AI, and other emerging areas in AI</li><li>Programming experience in one or more of the following: Python toolkits such as Tensorflow, Keras, PyTorch, SciKit</li><li>Ability to collaborate with a team of AI engineers in an agile development environment </li><li>Good to have experience with GCP / Microsoft Azure / Amazon Web Services</li><li>Good to have experience on MLOps methodologies and tools like Kube Flow / Airflow / TFX</li><li>Good to have Experience in Databases like MongoDB/Elasticsearch/MySQL</li></ul> What we offer:<ul><li>Group Medical Insurance (Family Floater Plan - Self + Spouse + 4 Dependent Children)</li><li>Sum Insured: INR 5,00,000/- </li><li>Maternity cover upto two children</li><li>Inclusive of COVID-19 Coverage</li><li>Cashless & Reimbursement facility</li><li>Access to free online doctor consultation</li></ul> <ul><li>Personal Accident Policy (Disability Insurance) -</li><li>Sum Insured: INR. 25,00,000/- Per Employee</li><li>Accidental Death and Permanent Total Disability is covered up to 100% of Sum Insured</li><li>Permanent Partial Disability is covered as per the scale of benefits decided by the Insurer</li><li>Temporary Total Disability is covered</li></ul> <ul><li>An option of Food Wallet (up to Rs. 2500) as a tax saver benefit</li><li>Monthly Internet Reimbursement of upto Rs. 1,000 </li><li>Professional Development opportunities through various mavQ sponsored certifications on multiple technology stacks including Google Cloud, AWS & others</li></ul>

job Title: Machine Learning EngineerLocation: HyderabadExperience: 3-5 Years Skills Required:<ul><li>Core Skills: Python, SQL, Machine Learning</li><li>Cloud Platforms: GCP with Vertex AI (experience with Amazon SageMaker is also acceptable)</li></ul>Job Description:We are looking for a skilled Machine Learning Engineer for an esteemed client, a product-based organization. The ideal candidate will have hands-on experience developing and deploying machine learning models using Python and SQL and should be familiar with Vertex AI on Google Cloud Platform (GCP). Experience with Amazon SageMaker is also a plus.Key Responsibilities:<ul><li>Develop, test, and deploy machine learning models on Vertex AI (or SageMaker).</li><li>Utilize Python for data processing, model training, and feature engineering.</li><li>Perform data analysis using SQL and create efficient pipelines for data handling.</li><li>Collaborate with cross-functional teams to integrate models into production environments.</li></ul>If you are passionate about machine learning and cloud technologies, connect with us for more details!Contact: Samatha at samatha@livecjobs.com

Job Title: MLOps EngineerLocation: Hyderabad, IndiaCompany: Procal TechnologiesExperience: 6+ years in IT, including 3-5 years in MLOpsJob Overview:Procal Technologies is looking for a seasoned MLOps Engineer to join our team in Hyderabad. This role focuses on developing and managing scalable machine learning (ML) operations systems that support robust and efficient ML model deployment. If you have strong skills in Python, cloud platforms (AWS/Azure), and production-level ML infrastructure, we want you on our team!Key Responsibilities:Design, build, and optimize data pipelines and infrastructure to scale enterprise ML systems.Translate offline ML models into reliable production-grade systems.Develop and deploy scalable ML tools and services for training and inference.Enforce software engineering best practices for ML, such as CI/CD, automation, and auditability.Manage and maintain ML systems using open-source tools, including KubeFlow, MLFlow, and Kale.Facilitate development and deployment of proof-of-concept ML systems in collaboration with data scientists.Detect and manage model/data drift to maintain performance consistency.Use Kubernetes, Kafka, and Docker to manage containerized ML applications.Apply deep learning frameworks, such as PyTorch, TensorFlow, and Keras, in model development.Leverage AWS or Azure ML tools (e.g., SageMaker, Azure ML) for seamless deployment.Qualifications:6+ years of experience in IT, with 3-5 years in MLOps.Proficiency in Python for automation and scripting in MLOps.Experience with AWS or Azure cloud platforms, particularly SageMaker or Azure ML.Hands-on experience with CI/CD, versioning, automation, and data security in ML pipelines.Strong skills in Kubernetes, Kafka, Docker, and MLOps tools like KubeFlow and MLFlow.Knowledge of data and model drift management techniques.Preferred Skills:Expertise in AWS or Azure ML toolsets.Familiarity with open-source tools such as Kale for ML system management.Join Procal Technologies to make an impact in the MLOps landscape and be a key player in shaping scalable ML solutions for enterprise applications!

Role - AI ML Engineer - MLOP A-OpsExperience - 2 to 4 yearsWork Location - HyderabadWork Mode - HybridNotice Period - Immediate Joiners Mandatory Skills - AWS, Python, AI ML Applicants can share resumes to Anjana.V@livecjobs.com or Call / WhatsApp on 7386691110 Must Have<ul><li>Strong experience rapidly deploying AI/ML solutions to production in a DevOps environment.</li><li>Experience with Python-based AI/ML frameworks, Java, and/or R</li><li>Experience with ML frameworks and libraries</li><li>Experience and knowledgeable in cloud hosted environment (AWS 2.0; Azure)</li><li>Experience with ML Ops offerings ( AWS Sagemaker, Azure ML, Microsoft Onelake,)</li><li>Knowledge and practical application of statistical analysis and mathematical modeling concepts and principles</li><li>Strong interpersonal skills; ability to work independently as well as in a team and a highly matrixed environment.</li><li>Strong SQL and data analytical skills. Familiar with major machine learning algorithms.</li><li>A Master’s Degree in Computer Science, Applied Mathematics, Engineering or a related field</li><li>4+ years experience in AI/ML algorithm development</li><li>At least one year in technology enhanced learning solution research and development</li><li>Experience in machine learning, deep learning, information retrieval, natural language processing or data mining preferred.</li><li>Prior Agile process experience a MUST</li></ul> Responsibilities<ul><li>Work with data scientists, data engineers and data integration specialists to build AI/ML models to achieve objectives as outlined by EOM needs</li><li>Implement effective methods of AI/ML model testing during development, deployment, and recalibration</li><li>Productionizes and operationalizes predictive models leveraging machine learning and advanced data analysis techniques.</li><li>Train and retrain machine learning models and provide metrics to document and track their performance.</li><li>Explore the data and identify differences in data distribution that could impact performance when deployed in prototypes</li><li>Utilize best practices around design, coding, automated unit, regression testing, and deployment of AI/ML models to production</li><li>Keep current of latest AI research in the personalized learning and assessment field</li><li>Utilize best practices in the responsible use of AI</li><li>Cultivates innovation by proactively proposing new ideas to deliver business value more effectively.</li><li>Identifies the right combination of tools and frameworks to turn a business problem into an analytics solution.</li><li>Work closely with learning scientists and data scientists to define collection events and data transformations needed to drive personalized learning</li><li>Work closely with Product Owners to understand potentials and limitations of AI/ML in the product</li><li>Work effectively in the agile-at-scale framework</li><li>Clearly communicate findings to immediate leadership</li><li>May perform additional duties as assigned.</li></ul> Thanks & RegardsM M Abhishek9154908075

Position: AI/ML Consultant (ON SITE)Location: Jubilee Hills, (Hyderabad)Working hours : 1 PM to 10 PMMonday to FridaySalary openNeed candidate above 3 years Qualifications:• Need 3 years + experience.• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field• Strong programming skills in Python, R, Java, and/or C++• Expertise in machine learning, deep learning, natural language processing, and computer vision• Proficiency with AI frameworks such as TensorFlow, PyTorch, or Keras• Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) for AI deployment• Solid understanding of data structures, algorithms, and software design principles• Excellent problem-solving skills and the ability to work in a collaborative team environment• Strong communication skills Thankssoumikadevara@panzertechnologies.com

About US: -Headquartered in the Silicon Valley with offices in London, Hyderabad and Singapore, Accellor is a Microsoft Gold Partner and a premier Salesforce Partner that uses best-of-breed Cloud technology to deliver superior customer engagement and business effectiveness for clients. We bring a deep understanding of Financial, Retail, High Tech, Healthcare, and Retail industries, rolling out end-to-end implementation of salesforce.com and powerful third-party apps. We also build products that are sold on the AppExchange and used by both boutique businesses and Fortune 500 companies.Majority of our team members based at Hyderabad, delivering best of breed cloud solutions to customers in the US, UK and APAC region. We've created an atmosphere that encourages curiosity, constant learning, and persistence. We encourage our employees to grow and explore their interests. We cultivate an environment of collaboration, autonomy and delegation - we know our people have a strong work ethic and a sense of pride and ownership over their work. They are passionate, eager, and motivated - focused on building the perfect solution but never losing sight of the bigger picture.We are looking for a highly motivated and skilled Senior Machine Learning Engineer to join our dynamic team. As an Machine Learning Engineer, you will be responsible for designing, developing, and deploying cutting-edge AI and machine learning solutions to solve complex business problems. You will collaborate with cross-functional teams to identify opportunities for AI/ML integration and work on developing scalable and efficient algorithms. The ideal candidate should possess a strong background in machine learning, programming, and data analysis, along with a passion for staying up-to-date with the latest advancements in the field of AI. Responsibilities<ul><li>Design, develop, and implement AI/ML models and algorithms to solve specific business problems.</li><li>Collaborate with stakeholders to understand business requirements that can be addressed using AI and machine learning techniques and to integrate AI/ML solutions into production systems and applications.</li><li>Pre-process, clean, and analyse large datasets to extract meaningful insights and features for model training.</li><li>Optimize and fine-tune models for accuracy, performance, and scalability</li><li>Stay updated with the latest research and advancements in AI/ML, and incorporate relevant techniques into the development process.</li><li>Evaluate and test models using appropriate evaluation metrics to ensure their effectiveness and robustness.</li><li>Monitor and maintain deployed models, making necessary updates and improvements as needed.</li><li>Participate in code reviews, knowledge sharing, and mentoring of junior team members</li><li>Document methodologies, experiments, and results clearly and effectively.</li><li>Continuously iterate and improve AI/ML solutions based on feedback and real-world performance.</li></ul>Requirements<ul><li>Min. 7+ years of relevant experience in data pre-processing, feature engineering, and model evaluation.</li><li>Bachelor's/Master's degree in Computer Science Engineering.</li><li>Solid understanding of machine learning algorithms, statistics, and data structures.</li><li>Proficiency in programming languages such as Python, Java/R and familiarity with libraries like TensorFlow, PyTorch, Scikit-learn, etc.</li><li>Strong problem-solving skills and ability to think critically about complex challenges.</li><li>Familiarity with cloud platforms and tools (ex: Azure/AWS/GCP) for model deployment and management. Experience in deploying machine learning models in production environments is a plus.</li><li>Excellent communication skills to convey technical concepts to both technical and non-technical stakeholders.</li><li>Strong teamwork and collaboration skills.</li><li>Continuous learning attitude to keep up with the rapidly evolving AI/ML landscape.</li><li>Experience with version control systems like Git and Copilot is a plus.</li></ul> At Accellor, we foster a collaborative and innovative environment where creativity and diverse perspectives are valued. We are committed to pushing the boundaries of technology and delivering solutions that make a meaningful impact. Join our team and be part of shaping the future with AI and Machine learning. BenefitsExciting Projects: We focus on industries like High-Tech, communication, media, healthcare, retail and telecom. Our customer list is full of fantastic global brands and leaders who love what we build for them.Collaborative Environment: You Can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment — or even abroad in one of our global centres.Work-Life Balance: Accellor prioritizes work-life balance, which is why we offer flexible work schedules, opportunities to work from home, and paid time off and holidays.Professional Development: Our dedicated Learning & Development team regularly organizes Communication skills training, Stress Management program, professional certifications, and technical and soft skill trainings. Excellent Benefits: We provide our employees with competitive salaries, family medical insurance, Personal Accident Insurance, Periodic health awareness program, extended maternity leave, annual performance bonuses, and referral bonuses.

About Cognida.aiOur Purpose is to boost your competitive advantage using AI and Analytics.We Deliver tangible business impact with data-driven insights powered by AI. Drive revenue growth, increase profitability and improve operational efficiencies.We Are technologists with keen business acumen - Forever curious, always on the front lines of technological advancements. Applying our latest learnings, and tools to solve your everyday business challenges.We Believe the power of AI should not be the exclusive preserve of the few. Every business, regardless of its size or sector deserves the opportunity to harness the power of AI to make better decisions and drive business value.We See a world where our AI and Analytics solutions democratise decision intelligence for all businesses. With Cognida.ai, our motto is ‘No enterprise left behind’. About the jobMachine Learning EngineerLocation: HyderabadExperience: 6+Role & Responsibilities:<ul><li>Design and develop machine learning algorithms and deep learning applications and systems.</li><li>Solve complex problems with multilayered data sets and optimize existing machine learning libraries and frameworks.</li><li>Analyse complex datasets to uncover insights and patterns that help model development.</li></ul>Collaborate with data scientists, administrators, data analysts, data engineers, and data architects on production systems and applications.Identify differences in data distribution that could potentially affect model performance in real-world applications.Ensure algorithms generate accurate user recommendations.Implement and test various search and recommendation algorithms to improve system performance.Optimise existing machine learning models for performance and scalability.Study and transform data science prototypes and apply appropriate machine learning algorithms and tools.Extend existing machine learning libraries and frameworks.Qualifications:<ul><li>AI/ML Engineer with 6+ years of experience.</li><li>Should have worked in Generative AI, building annotations, models.</li><li>Extensive math and computer skills, with a deep understanding of probability, statistics, and algorithms.</li><li>In-depth knowledge of machine learning frameworks, like Keras or PyTorch.</li><li>Familiarity with data structures, data modelling, and software architecture.</li><li>Familiarity with Python, Java, and R</li><li>Excellent communication and collaboration skills</li><li>Ability to work with cross functional & client managers.</li></ul>

Machine Learning Engineer Jobs in Hyderabad, Telangana

Senior Machine Learning Engineer
November 20, 2024

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Senior Machine Learning Engineer
November 6, 2024

Machine Learning Engineer
November 6, 2024

Machine Learning Engineer
November 6, 2024

Senior Machine Learning Engineer
November 5, 2024

Machine Learning Engineer
October 31, 2024

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Machine Learning Engineer Jobs in Hyderabad, Telangana

Senior Machine Learning EngineerNovember 20, 2024

Machine Learning EngineerNovember 9, 2024

Senior Machine Learning EngineerNovember 6, 2024

Machine Learning EngineerNovember 6, 2024

Machine Learning EngineerNovember 6, 2024

Senior Machine Learning EngineerNovember 5, 2024

Machine Learning EngineerOctober 31, 2024

Quick filters

Top companies

Senior Machine Learning Engineer
November 20, 2024

Machine Learning Engineer
November 9, 2024

Senior Machine Learning Engineer
November 6, 2024

Machine Learning Engineer
November 6, 2024

Machine Learning Engineer
November 6, 2024

Senior Machine Learning Engineer
November 5, 2024

Machine Learning Engineer
October 31, 2024