334 Ml Ops Jobs - Page 12

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 ...

Company name: Tier 1 TOP GLOBAL MNC IT company. Location: Bangalore, Pune, ( Hybrid ) As a level in our Consultant/Senior Consultant/Manager youll build and nurture positive working relationships with teams and clients with the intention to exceed client expectations: - We are seeking skilled ML-Ops Manager / Senior Consultants to implement and manage ML-Ops frameworks for various industries. The ideal candidates will have a minimum of 8+ Years (Manager)/4-7 Years of experience (Senior Consultant) in Designing, Implementing, and leading ML-Ops frameworks. In this role, you will be responsible for the deployment, testing, and continuous integration of machine learning models while working wit...

Job Description - Bachelor's or Masters degree in Computer Science, Data Science, Engineering, or a related field. 3+ years of experience in MLOps, DevOps, or ML Engineering roles. Strong experience with containerization (Docker) and orchestration (Kubernetes). Proficiency in Python and experience working with ML libraries like TensorFlow, PyTorch, or scikit-learn. Familiarity with ML pipeline tools such as MLflow, Kubeflow, TFX, Airflow, or SageMaker Pipelines. Hands-on experience with cloud platforms (AWS, GCP, Azure) and infrastructure-as-code tools (Terraform, CloudFormation). Solid understanding of CI/CD principles, especially as applied to machine learning workflows. Nice-to-Have Exper...

3+ Years experience in Gen AI, AI Engineering, Solution Architecture Gen AI Specialist strong experience in LLM, AI engineering, AI project deployment & production, Gen AI innovation, Gen AI architecture, Gen AI based use case design, build, deploy & scale at clients. 2 years + Strong experience in AI, ML, Data Science. Solutioning, Architecture, Build, Deploy, ML Ops, Production, Managed Services Top Engineering Colleges Preferred Prefer is resource is from tech startup. Consulting and Tech Firms are also good. Cloud Firms too if we can afford Full Stack Tech Skills i.e. Front End, Middle End, Back End, Custom Apps, Automation will be a big bonus Experience in Solution Architecture for proj...

Ready to build the future with AI At Genpact, we don&rsquot just keep up with technology we set the pace. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos , our industry-first accelerator, is an example of how we&rsquore scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to , 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&rsquos possible, this is your moment. Genpact (NYSE:...

Greetings, We are hiring for Senior Data Scientist in Bengaluru. As a Senior Data Scientist, you will focus on developing and implementing advanced data science and machine learning models to support our clients business needs. This role emphasizes hands-on technical work and collaboration with other data scientists and engineers, while working independently toward defined goals . You will play a key role in creating data solutions while contributing to our collective knowledge and innovation efforts. Key Responsibilities Data Science & Model Development: Data Preparation & Feature Engineering: Model Evaluation and Tuning: NLP & Advanced Frameworks: Collaboration & Communication: API Develop...

Lead the technical discovery process, assess customer requirements, and design scalable solutions leveraging a comprehensive suite of Data & AI services, including BigQuery, Dataflow, Vertex AI, Generative AI solutions, and advanced AI/ML services like Vertex AI, Gemini, and Agent Builder. Architect and demonstrate solutions leveraging generative AI, large language models (LLMs), AI agents, and agentic AI patterns to automate workflows, enhance decision-making, and create intelligent applications. Develop and deliver compelling product demonstrations, proofs-of-concept (POCs), and technical workshops that showcase the value and capabilities of Google Cloud. Strong understanding of data wareh...

Must have skillsets Required Skills: • 5 years of experience in ML Ops, DevOps, or Data Engineering roles. • Hands-on experience with Azure services, including: o Azure Machine Learning o Azure DevOps (CI/CD) o Azure Kubernetes Service (AKS) o Azure Data Lake / Blob Storage o Azure Functions / Logic Apps • Proficiency in Python and experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). • Familiarity with containerization (Docker) and orchestration (Kubernetes). • Experience with ML model monitoring and logging tools. • Knowledge of ML model versioning and experiment tracking (e.g., MLflow, DVC). • Strong understanding of software development best practices and agile methodo...

Responsibilities: Be an integral part of large-scale client business development and delivery engagements Develop the software and systems needed for end-to-end execution on large projects Work across all phases of SDLC, and use Software Engineering principles to build scaled solutions Build the knowledge base required to deliver increasingly complex technology projects Qualifications & Experience A bachelors degree in Computer Science or related field with 3-8 years of technology experience Strong problem solving mindset in order to apply technology to solve a business problem. Strong experience in Data engineering, System Integration, Application Development, Data-Warehousing or BI reporti...

Overview: TekWissen is a global workforce management provider throughout India and many other countries in the world. The below clientis a global company with shared ideals and a deep sense of family. From our earliest days as a pioneer of modern transportation, we have sought to make the world a better place one that benefits lives, communities and the planet Job Title: Software Engineer Consultant/Expert Location: Chennai Work Type: Onsite Position Description: Candidate with strong Python experience. Full Stack Development in GCP End to End Deployment/ ML Ops Software Engineer with hands-on n both front end, back end and ML Ops This is a Tech Anchor role. Experience Required: 7 Plus Years...

Role & responsibilities Python, Full Stack Development in GCP End to End Deployment/ ML Ops Location: Chennai Only

Location: Bangalore/Noida/Pune/Gurgaon Education: B.E. / B. Tech / M.E. / M. Tech / MCA Job Responsibilities: Model Deployment and Management: Drive ML prototypes into production ensuring seamless deployment and management on cloud at scale. Monitor real-time performance of deployed models, analyze data, and proactively address performance issues. Troubleshoot and resolve production issues related to ML model deployment, performance, and scalability. Collaboration and Integration: Collaborate with DevOps engineers to manage cloud compute resources for ML model deployment and performance optimization. Work closely with ML scientists, software engineers, data engineers, and other stakeholders ...

About the Role: Our team is responsible for building the backend components of the GenAI Platform. Python Terraforms AI & RAG MLOps Any cloud (Preferred AWS )

Job Title: Lead / Senior/ Data Scientist Experience: 8 to 15 years - Min 5+ Years in Data Science Location: Hyderabad, Hybrid Working hours: 12.00pm to 9.00pm Must Have: Gen AI, ML, Deep Learning, NLP, ML Ops, Data Model Developments and Deployments Key Responsibilities: Provide thought leadership, strategic insight, and clear communication on Data Science and execution for complex problems. Plan, coordinate, and oversee all technical aspects of our AI projects. Ensure that project goals align with the company's objectives and meet the needs of our stakeholders. Design and implement data-driven solutions using Microsoft Azures tools and services, such as Azure Machine Learning, Azure Databri...

Position - ML OPS Engineer Experience - 5 year plus Location - Pune/ Hyderabad Please apply at simardeep@newgenstaffing.co.in

The Lead MLOps Engineer will be responsible for leading technology initiatives aimed at improving business value andoutcomes in the areas of digital marketing and commercial analytics through the adoption of Artificial Intelligence (AI) enabled solutions. Working with cross-functional teams across AI projects to operationalize data science models to deployed scalable solutions delivering business value. They should be inquisitive and bring an innovate mindset to work every day, researching, proposing, and implementing MLOps process improvements, solution ideas and ways of working to be more agile, lean and productive. Provide leadership and technical expertise in operationalizing machine lea...

Must have MLops Python MySQL Model Lifecycle PYspark GCP(Bigquery , Dataproc & Airflow) Experience 3–14 Years Location Chennai, Hyderabad 2–3 Days Onsite Shift 9:00 to 6:00 PM NP- Immediate Joiners Preferred, max 30 days Required Candidate profile Must have MLops Python MySQL Model Lifecycle PYspark GCP(Bigquery , Dataproc & Airflow) Experience 3–14 Years Location Chennai, Hyderabad 2–3 Days Onsite

We are looking for a Junior Machine Learning Engineer with 4 to 6 years of experience to join our AI/ML team. The candidate will wok on reinforcement learning agents, end-to-end ML workflows, and MLOps practices to build, deploy, and monitor scalable AI solutions. Key Responsibilities: Develop and deploy ML models and RL agents (e.g., Q-learning, policy gradients). Preprocess data, perform feature engineering, and tune models. Operationalize models using Docker, CI/CD (GitHub Actions, Jenkins). Monitor model performance and system health in production. Collaborate with data scientists, engineers, and DevOps teams. Stay updated on trends in RL, AI, and MLOps. Required Skills: Bachelors/Master...

Purpose Senior DevOps engineer is responsible for automating and improving the collaboration between software development and IT operations teams, ensuring faster and more reliable software releases. Should be a quick learner with exposure to AIOps. DevOps, MLOps and some knowledge in CloudOps. and should be an expert in handling python & .Net based projects, docker, Kubernetes, podman. Job Tasks: CI/CD Pipeline Management Design, construct, install, test and maintain Infrastructure as Code Containerization Deployment and Release Management » Security Integrations » Automation and Scripting » Monitoring and Analytics » disaster recovery procedures Key Responsibilities Design, implement, and ...

Roles and Responsibilities Develop and maintain Microservice architecture and API management solutions using REST and gRPC for seamless deployment of AI solutions. Collaborate with cross-functional teams, including data scientists and product managers, to acquire, process, and manage data for AI/ML model integration and optimization. Design and implement robust, scalable, and enterprise-grade data pipelines to support state-of-the-art AI/ML models. Debug, optimize, and enhance machine learning models, ensuring quality assurance and performance improvements. Familiarity with tools like Terraform, CloudFormation, and Pulumi for efficient infrastructure management. Create and manage CI/CD pipel...

WhatYou llDo 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 highe...

Position Summary This Requisition is for Employee Referral Campaign and JD is Generic. Position Summary: Build scalable, effective programs to improve communication between Life Sciences companies and their customers. Job Responsibilities We are seeking a high-energy and innovative leader to join our Omnichannel Centre of Excellence to develop new, specialized capabilities for Axtria, and to accelerate the companys growth by supporting our clients omnichannel marketing strategies. Axtria CustomerIQTM is the most advanced omnichannel-driven customer engagement solution for the life sciences industry. It enables personalized interactions, at scale to optimize commercial activity. Axtria Custom...

Role & responsibilities Key Responsibilities Architect and implement AI/ML/GenAI pipelines , automating end-to-end workflows from data ingestion to model deployment and monitoring. Develop scalable, production-grade APIs and services using FastAPI, Flask , or similar frameworks for AI/LLM model inference. Design and maintain containerized AI applications using Docker and Kubernetes . Operationalize Large Language Models (LLMs) and other GenAI models via cloud-native deployment (e.g., Azure ML, AWS Sagemaker, GCP Vertex AI). Manage and monitor model performance post-deployment, applying concepts of MLOps and LLMOps including model versioning, A/B testing, and drift detection. Build and mainta...

ZS s Beyond Healthcare Analytics (BHCA) Team is shaping one of the key growth vector area for ZS, Beyond Healthcare engagement, comprising of clients from industries like Quick service restaurants, Technology, Food & Beverage, Hospitality, Travel, Insurance, Consumer Products Goods & other such industries across North America, Europe & South East Asia region. BHCA India team currently has presence across New Delhi, Pune and Bengaluru offices and is continuously expanding further at a great pace. BHCA India team works with colleagues across clients and geographies to create and deliver real world pragmatic solutions leveraging AI SaaS products & platforms, Generative AI applications, and othe...

Architect of Solutions: Lead the design, development, and enhancement of scalable ML Ops/Data pipelines and Data Products on cloud-native platforms. Technical Expertise: Demonstrate your expertise in Python, Pyspark, Docker, Kubernetes, and AWS ecosystems to deliver exceptional solutions. Collaborative Spirit: Work hand-in-hand with global and diverse Agile teams, from data to design, to overcome technical data challenges. Innovate & Inspire: Stay ahead of the curve by integrating the latest industry trends and innovations into your work such as GenAI. Essential Skills/Experience A proactive mindset and enthusiasm for Agile environments. Strong hands-on experience with cloud providers and se...