146 Ml Ops Jobs - Page 6

We are seeking high-energy, driven, and innovative Data Scientists to join our Data Science Practice to develop new, specialized capabilities for Axtria, and to accelerate the company's growth by supporting our clients commercial & clinical strategies. Job Responsibilities Be an Individual Contributor to the Data Science team and solve real-world problems using cutting-edge capabilities and emerging technologies. Help clients translate the business use cases they are trying to crack into data science solutions . Provide genuine assistance to users by advising them on how to leverage Dataiku DSS to implement data science projects, from design to production. Data Source Configuration, Maintena...

We are seeking a highly experienced and strategic Senior Manager Applied Science to lead and scale our applied research and machine learning initiatives. This role involves working at the intersection of cutting-edge AI/ML technologies and real-world business challenges to drive measurable impact. Key Responsibilities: Lead a team of applied scientists and machine learning engineers to develop scalable AI/ML models. Define and drive the scientific vision, strategy, and roadmap aligned with business goals. Collaborate cross-functionally with product, engineering, and analytics teams. Stay ahead of emerging technologies and apply them to solve complex business problems. Publish research, file ...

Notice Period : Candidates with up to 1-month notice preferred Findability Sciences is looking for a hands-on AI expert with experience in developing and implementing comprehensive predictive and generative AI solutions. This is a core technical role rather than a support-based one. You will lead innovation and delivery across multiple industries. What we are looking for: 3+ years of experience in AI/ML with a Masters or Ph.D. in a relevant field Strong knowledge of Python, SQL, Machine Learning, LLMs, RAG, and Prompt Engineering Experience in predictive modeling, time series forecasting, and generative AI use cases Experience with ML Ops workflows model deployment, monitoring, versioning, a...

Notice Period: Candidates with up to 1-month notice preferred Findability Sciences is looking for a hands-on AI expert with experience in developing and implementing comprehensive predictive and generative AI solutions. This is a core technical role rather than a support-based one. What we are looking for: 3+ years of experience in AI/ML with a Masters or Ph.D. in a relevant field Strong knowledge of Python, SQL, Machine Learning, LLMs, RAG, and Prompt Engineering Experience in predictive modeling, time series forecasting, and generative AI use cases Experience with ML Ops workflows model deployment, monitoring, versioning, and pipeline automation Key Responsibilities: Design and deploy pred...

Job description MLOps Engineer Bangalore (work at office) 5+ Years experience relevant in MLOPs Mandatory Skills: Strong proficiency in Generative AI, Large Language Models (LLMs), deep learning, agentic frameworks, and RAG setup. Experience in designing and implementing machine learning models using scikit-learn and TensorFlow. Hands-on expertise with AI/ML frameworks such as Hugging Face, LangChain, LangGraph, and PyTorch. Cloud AI services experience, particularly in AWS SageMaker and AWS Bedrock. MLOps & DevOps: Knowledge of data pipeline setup, Apache Airflow, CI/CD, and containerization (Docker, Kubernetes). API Development: Ability to develop and maintain APIs following RESTful princi...

About the role: Were building an agentic AI platform that turns one line of text and a video feed into end-to-end, real-time computer-vision solutionsthink semantic video search, object / action recognition, and task-oriented visual agents deployable with a single click. As a Gen AI ML Engineer, youll architect the core vision & multimodal-reasoning stack and pave the road from prototype to production. Roles and Responsibilities: Semantic video search Ship a pipeline that allows users to type show every forklift near aisle 5 in the last 30 minutes and get keyed-off clips in 1 s. Wire embeddings to a hybrid FAISS/HNSW index; surface results through a simple REST & React playground. Create age...

AI Engineer Enterprise Agent Development Experience: 3 - 5 Years Exp Salary : INR 16-20 Lacs per annum Preferred Notice Period : Within 30 Days Shift : 3:00PM to 12:00AM IST Opportunity Type: Remote Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : LangChain, LLM, ML Ops, AWS, Docker, Python Good to have skills : open-source, Palantir, privacy techniques, rag, Snowflake B2B SaaS (One of Uplers' Clients) is Looking for: AI Engineer Enterprise Agent Development who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a ...

Exp - 6- 10 Years Level - Senior Consultant Skill - ML OPS with Gen AI Location - Bengaluru Event on 9th May in Bangalore location Hybrid Mode (2 days WFO in a week) Education - B.Tech/B.E/MS/MBA ML OPs Engineer Required: 6-10 years of Consulting, Data, and Analytics experience Experience in descriptive & predictive analytics, both theoretical and practical knowledge in basic ML algorithms like linear and non-linear regression, linear and non-linear classification, dimensional reduction, anomaly detection, statistical concepts and techniques like theoretical distributions, parametric and non-parametric inference 6+ years of experience implementing & executing data science projects throughout...

We are looking for a highly skilled Lead AI/ML Engineer with 6+ years of hands-on experience in designing, deploying, and scaling AI/ML and Generative AI solutions. The ideal candidate will lead technical efforts across a wide spectrum of AI technologies including large language models (LLMs), computer vision, machine learning, and data science to solve high-impact business problems. This is a technical leadership role that involves mentoring team members, shaping architecture decisions, and driving end-to-end AI solution delivery across cloud-based environments. Key Responsibilities: Leadership & Strategy Drive the technical vision and roadmap for AI/ML and Generative AI initiatives. Lead a...

Job Location- Bangalore Years of experience -7 yr to 15 yrs Notice Period - immediate to 30days Job Description Key Responsibilities: Lead Full-cycle Development: Take charge of the complete lifecycle of machine learning models, overseeing conception, prototyping, deployment, and iterative optimization processes to enhance performance and scalability. Architect Solutions: Utilize strong software design principles to build efficient and maintainable ML applications and services that adhere to best industry practices. Collaborative Model Development: Partner with data scientists and stakeholders to address specific business challenges, thoroughly exploring available data for effective model tr...

Lead Full-cycle Development: Take charge of the complete lifecycle of machine learning models, overseeing conception, prototyping, deployment, and iterative optimization processes to enhance performance and scalability. Architect Solutions: Utilize strong software design principles to build efficient and maintainable ML applications and services that adhere to best industry practices. Collaborative Model Development: Partner with data scientists and stakeholders to address specific business challenges, thoroughly exploring available data for effective model training and evaluation. Implement Data Pipelines: Design complex data processing workflows to ensure efficient feature extraction and m...

Ready to build the future with AI? At Genpact, we dont just keep up with technologywe set the pace. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory, our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies’ most complex challenges. If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what’s possible, this is your moment. Genpact (NYSE: G...

Data Science Senior Advisor Data Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data-intensive analytic processing, our mission is to develop a whole new approach to generating meaning and value from petabyte-scale data sets and shape brand new methodologies, tools, statistical methods and models. Whats more, we are in collaboration with leading academics, industry experts and highly skilled engineers to equip our customers to generate sophisticated new insights from the biggest of big data. Join us to do the best work of your career and make a profound social impact as a Data Science Senior Advisor on our Pr...

CGI is a leading global information technology and business consulting services firm, established in 1976 in Montreal, Quebec, Canada. With a strong presence in over 40 countries and more than 95,000 employees, we help clients worldwide leverage technology to support critical operations and achieve successful outcomes. Our company offers a wide range of services, including IT and business consulting, systems integration, and IT outsourcing, serving both private and government sectors. We are recognized for our commitment to clients' success and for our culture, which emphasizes ownership and collaboration among our members. Learn more at https://www.cgi.com/en/about-us We are urgently recrui...

Notice Period : Candidates with up to 1-month notice preferred Findability Sciences is looking for a hands-on AI expert with experience in developing and implementing comprehensive predictive and generative AI solutions. This is a core technical role rather than a support-based one. You will lead innovation and delivery across multiple industries. What we are looking for: 3+ years of experience in AI/ML with a Masters or Ph.D. in a relevant field Strong knowledge of Python, SQL, Machine Learning, LLMs, RAG, and Prompt Engineering Experience in predictive modeling, time series forecasting, and generative AI use cases Experience with ML Ops workflows model deployment, monitoring, versioning, a...

Job Overview As a Senior Dev ops Engineer, Machine Learning (ML) Operations in the Technology & Engineering division, you will be responsible for enabling PitchBook's Machine Learning teams and practitioners by providing tools that optimize all aspects of the Machine Learning Development Life Cycle (MLDLC). Your work will support projects in a variety of domains, including Generative AI (GenAI), Large Language Models (LLMs), Natural Language Processing (NLP), Classification, and Regression. Team Overview Your teams goal will be to reduce friction and time-to-business-value for teams building Artificial Intelligence (AI) solutions at PitchBook. You will be essential in helping to build except...

We are seeking Senior AI/ML Engineers with 3 to 6 years of experience in implementing, deploying, and scaling AI/ML solutions. This role involves working with generative AI, machine learning, deep learning, and data science to solve business challenges by designing, building, and maintaining scalable and efficient AI/ML applications. Key Responsibilities:AI: Architect scalable Generative AI and Machine Learning applications using AWS Cloud and other cutting-edge technologies. Extensive experience with LLMs and various prompt engineering techniques. Fine-tune and build custom LLMs. Deep understanding of LLM architecture and internal mechanisms. Experience with Langchain, Langgraph, Langfuse, ...

What Youll Do Build, Refine and Use ML Engineering platforms and components. Scaling machine learning algorithms to work on massive data sets and strict SLAs. Build and orchestrate model pipelines including feature engineering, inferencing and continuous model training. Implement ML Ops including model KPI measurements, tracking, model drift & model feedback loop. Collaborate with client facing teams to understand business context at a high level and contribute in technical requirement gathering. Implement basic features aligning with technical requirements. Write production-ready code that is easily testable, understood by other developers and accounts for edge cases and errors. Ensure high...

Job Summary: Provides technical leadership and strategic direction for the AI/ML team. Designs and implements AI/ML solutions that meet business needs and drive innovation. Job Description: Key Responsibilities Design, develop, and optimize Machine Learning & Deep Learning models using Python and libraries such as TensorFlow, PyTorch, and Scikit-learn Work with Large Language Models (e.g., GPT, BERT, T5) to solve NLP tasks such as, semantic search, summarization, chatbots, conversational agents, and document intelligence. Lead the development of scalable AI solution including data preprocessing, embedding generation, vector search, and prompt orchestration . Build and manage vector databases...

Lead Software Engineer (AI/ML &Generative AI) Key Responsibilities Mentorship:Lead, mentor, and empower a team of junior and mid-level engineers, fosteringa culture of technical excellence and collaborative problem-solving. Guide the project from conception to completion, ensuring alignment withbusiness goals and on-time delivery. Champion and enforce software engineering best practices, including codereviews, design patterns, and efficient resource utilization. Design & Development:Own the end-to-end design, development, and deployment of Generative AIsolutions using agentic frameworks such as LangGraph, AutoGen, orSemantic Kernel. Build robust, scalable, and secure backend services and RES...

Role & responsibilities Design, develop, and maintain scalable data pipelines for predictive maintenance using IoT sensor and control data. Collaborate with cross-functional teams including Data Scientists, DevOps, and Architects to ensure seamless integration of ML models. Build and optimize end-to-end machine learning pipelines (MLOps) for training, deployment, and monitoring. Implement real-time inference pipelines and automated model retraining workflows. Contribute to CI/CD pipeline development and integration testing for data and ML workflows. Ensure data quality, version control, and robust pipeline performance across customer sites. Participate in solution design discussions and prov...