336 Ml Ops Jobs - Page 14

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...