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lead sr mlops engineer domino data lab

EPAM Systems

<div>EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.
We are seeking an experienced Lead/Sr MLOps Engineer with deep expertise in Domino Data Lab to manage and optimize machine learning operations across the entire ML lifecycle. In this role, you will support platform reliability, drive infrastructure automation and ensure seamless deployment and monitoring of machine learning solutions in production environments.
Responsibilities<ul><li>
Manage and optimize the Domino Data Lab platform across the machine learning lifecycle</li><li>
Oversee MLOps processes to support efficient model development and operations</li><li>
Maintenance of Kubernetes clusters and Docker containers for scalable workloads</li><li>
Implementation of CI/CD pipelines using Jenkins, GitLab and GitHub</li><li>
Administration of Linux environments to ensure system stability</li><li>
Provide platform support at L2/L3 levels for end users and stakeholders</li><li>
Monitoring and troubleshooting of platform issues to minimize downtime</li><li>
Collaboration with data science teams to streamline machine learning workflows</li><li>
Deployment and management of solutions across AWS, Azure and GCP</li></ul>
Requirements<ul><li>
5+ years of experience in MLOps or machine learning lifecycle management</li><li>
Knowledge of Domino Data Lab platform</li><li>
Expertise in Kubernetes and Docker</li><li>
Proficiency in Python and R</li><li>
Skills in CI/CD tools including Jenkins, GitLab and GitHub</li><li>
Familiarity with AWS, Azure and GCP</li><li>
Competency in Linux administration</li><li>
Capability to perform monitoring and troubleshooting</li><li>
Background in platform support at L2/L3 levels</li></ul>
Nice to have<ul><li>
Background in AI/ML engineering</li><li>
Skills in model deployment and monitoring</li><li>
Familiarity with data science platform support</li><li>
Proficiency in infrastructure automation using Terraform and Ansible</li></ul>
We offer<ul><li>
Opportunity to work on technical challenges that may impact across geographies</li><li>
Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications</li><li>
Opportunity to share your ideas on international platforms</li><li>
Sponsored Tech Talks &amp; Hackathons</li><li>
Unlimited access to LinkedIn learning solutions</li><li>
Possibility to relocate to any EPAM office for short and long-term projects</li><li>
Focused individual development</li><li>
Benefit package:<ul><li>
Health benefits</li><li>
Retirement benefits</li><li>
Paid time off</li><li>
Flexible benefits</li></ul></li><li>
Forums to explore beyond work passion (CSR, photography, painting, sports, etc.)</li></ul></div>

Lead/Sr MLOps Engineer - Domino Data Lab

Fractal Analytics

<div>It's fun to work in a company where people truly BELIEVE in what they are doing!
We're committed to bringing passion and customer focus to the business.<div><div>
Job Description</div></div><div><div><div><div><div><div><div><div><div><h1 class="jobSectionHeader">
EL3 &ndash; Databricks MLOps Engineer (Contract)</h1>
Domain: Claims Payment Integrity | M&amp;R, C&amp;S, E&amp;I Claims (preferred) 
Actuarial &amp; Forecasting Analytics Exposure is an Added Advantage 
Tech Stack: Databricks, Spark, Python, Scala, Azure, GitHub Actions, Terraform 
AI/LLM Capabilities: Embedding Models, LLM Integration, LangChain Agentic Frameworks<h2 class="jobSectionHeader">
Role Summary</h2>
The EL3 Databricks MLOps Engineer is a senior hands-on role responsible for enabling end-to-end machine learning lifecycle automation on Databricks. This includes building and maintaining the CI/CD infrastructure, environment configuration, packaging and deploying ML models, supporting reproducible experiments, and ensuring scalable job orchestration for AI/ML workloads, including LLM-based applications.
The role partners closely with Data Scientists, AI/ML Engineers, platform teams, and business stakeholders within Claims Payment Integrity to ensure robust, reliable, and automated ML delivery.<h2 class="jobSectionHeader">
Key Responsibilities</h2><ul><li>
Enable and automate the end-to-end ML lifecycle on Databricks (environment setup, model workflow automation, job scheduling, monitoring hooks).</li><li>
Build frameworks, templates, and utilities that make ML development and experimentation reproducible and scalable.</li><li>
Implement CI/CD pipelines using Git, GitHub Actions, Jenkins, Azure DevOps, or similar tools.</li><li>
Package, version, and deploy ML models into Databricks-managed execution environments.</li><li>
Set up automated workflows for training, retraining, evaluation, and scheduled job execution.</li><li>
Support creation and integration of machine learning models including classification, forecasting, anomaly detection, NLP, and PI models.</li><li>
Enable LLM/GenAI-driven solutions by integrating:<ul><li>
Embedding model generation</li><li>
RAG architectures</li><li>
Vector databases</li><li>
LangChain agentic workflows</li></ul></li><li>
Optimize resource usage, runtime configurations, and code execution patterns for ML workloads.</li><li>
Collaborate with Data Scientists to translate experimental notebooks into production-ready pipelines.</li><li>
Implement platform-level controls for environment consistency, dependency management, access control, and model versioning.</li><li>
Support troubleshooting, debugging, and performance improvements for ML workloads.</li><li>
Document standards, templates, guidelines, and best practices for MLOps teams.</li><li>
Work cross-functionally with product, engineering, and analytics teams across PI.</li></ul><h2 class="jobSectionHeader">
Required Qualifications</h2><ul><li>
Bachelor&rsquo;s/Master&rsquo;s degree in Computer Science, Engineering, or related field</li><li>
6&ndash;9 years of relevant experience in ML Engineering, MLOps, or platform engineering</li><li>
Strong hands-on experience with Databricks, Spark (batch/streaming), Python, Scala</li><li>
Experience enabling ML lifecycle tools such as MLflow (tracking, packaging, model registration)</li><li>
Strong CI/CD experience using Git, GitHub Actions, Jenkins, or Azure DevOps</li><li>
Experience deploying AI/ML models into cloud environments (Azure preferred)</li><li>
Ability to create and integrate embedding models, semantic vectors, and LLM-driven components</li><li>
Experience with LangChain for agentic workflows and integration of tools/functions</li><li>
Strong problem-solving, debugging, and collaboration skills</li></ul><h2 class="jobSectionHeader">
Preferred Qualifications</h2><ul><li>
Experience with Azure OpenAI or OpenAI-compatible LLM APIs</li><li>
Familiarity with healthcare claims workflows, PI, FWA, provider billing, or pricing</li><li>
Experience in Agile/Scrum environments</li><li>
Strong understanding of software engineering best practices, packaging, dependency management</li></ul><h2 class="jobSectionHeader">
Good-to-Have Data Knowledge</h2><ul><li>
Call Center datasets (member &amp; provider interactions)</li><li>
Provider RCM datasets (billing, coding, authorizations)</li><li>
EHR/clinical datasets for cross-domain validation</li></ul></div></div></div></div></div></div></div></div></div>
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!<h3 class="jobSectionHeader">
Hiring Related Queries</h3>
India: HiringsupportIndia@fractal.ai
Outside India: HiringsupportROW@fractal.ai
This inbox does not process resume submissions. All applications must be made through posted job openings
Not the right fit? Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!</div>

MLOps Engineer

Aliqan Technologies

Job Description &ndash; GenAI EngineerPosition: GenAI Engineer Experience: 5.5 &ndash; 9 Years Location: Mumbai, Bangalore, Gurugram, Chennai Work Mode: Hybrid (3 Days Work From Office &ndash; Mandatory) Work Location: Candidate must be willing to work from the client location. CTC: Up to ₹36 LPAAbout the RoleWe are looking for an experienced GenAI Engineer with strong expertise in Large Language Models (LLMs), Generative AI, NLP, Computer Vision, and cloud technologies. The ideal candidate should be capable of designing and developing end-to-end AI-powered solutions while working closely with cross-functional teams to build scalable, production-ready applications.Key Responsibilities<ul><li>Design, develop, and deploy advanced solutions using Large Language Models (LLMs).</li><li>Take complete ownership of end-to-end solution development from design to deployment.</li><li>Research and stay updated with the latest advancements in Generative AI, LLMs, and AI frameworks.</li><li>Develop reusable code libraries, frameworks, and tools for AI application development.</li><li>Participate in code reviews and ensure adherence to coding standards and best practices.</li><li>Contribute across the complete Software Development Life Cycle (SDLC), including design, development, testing, deployment, and maintenance.</li><li>Collaborate with product managers, engineering teams, and stakeholders to integrate AI solutions into enterprise applications.</li><li>Analyze business problems and translate them into scalable AI-driven solutions.</li><li>Troubleshoot, optimize, and improve AI models and application performance.</li><li>Communicate effectively with technical and non-technical stakeholders.</li></ul>Required Skills1. Natural Language Processing (NLP)Hands-on experience in one or more of the following:<ul><li>Use case classification</li><li>Topic modeling</li><li>Question Answering (Q&amp;A)</li><li>Chatbots</li><li>Enterprise Search</li><li>Document AI</li><li>Text Summarization</li><li>Content Generation</li></ul>OR2. Computer Vision &amp; Audio AIHands-on experience in:<ul><li>Image classification</li><li>Object detection</li><li>Image segmentation</li><li>Image generation</li><li>Audio analysis</li><li>Video analysis</li></ul>Generative AI &amp; LLMsSaaS LLM PlatformsExperience with:<ul><li>LangChain</li><li>LlamaIndex</li><li>Vector Databases</li><li>Prompt Engineering (Chain of Thought, Tree of Thought, ReAct, AI Agents)</li><li>Azure OpenAI</li><li>Google Vertex AI</li><li>AWS Bedrock</li><li>Multi-modal AI (Text, Audio, Image, Video)</li></ul>Open Source LLMsKnowledge of:<ul><li>Hugging Face</li><li>TensorFlow</li><li>PyTorch</li><li>LLM Fine-tuning (PEFT)</li><li>RLHF (Reinforcement Learning from Human Feedback)</li><li>Quantization</li><li>Data Annotation Workflows</li><li>GPU Utilization and Optimization</li></ul>Cloud TechnologiesHands-on experience with one or more cloud platforms:<ul><li>Microsoft Azure</li><li>Amazon Web Services (AWS)</li><li>Google Cloud Platform (GCP)</li></ul>Preferred:<ul><li>Cloud Certification (Azure/AWS/GCP)</li></ul>Application Development SkillsStrong experience in:<ul><li>Python</li><li>Docker</li><li>FastAPI / Django / Flask</li><li>Git &amp; Version Control</li><li>REST APIs</li><li>Microservices Architecture</li></ul>Required Qualifications<ul><li>5.5&ndash;9 years of overall software development experience.</li><li>Strong experience in Generative AI and LLM-based application development.</li><li>Excellent analytical and problem-solving skills.</li><li>Strong communication and collaboration skills.</li><li>Ability to work independently and take ownership of projects.</li><li>Experience building scalable, production-ready AI applications.</li></ul>Preferred Skills<ul><li>Experience with RAG (Retrieval-Augmented Generation) architectures.</li><li>Knowledge of Vector Databases (Pinecone, FAISS, ChromaDB, Weaviate, Milvus, etc.).</li><li>Experience deploying AI applications on cloud platforms.</li><li>Exposure to MLOps and CI/CD pipelines.</li><li>Experience with AI Agents and Agentic AI frameworks.</li></ul>Pay: ₹2,500,000.00 - ₹3,600,000.00 per yearWork Location: Hybrid remote in Bangalore City, Bengaluru, Karnataka

Generative AI Engineer

CRUTZ LEELA ENTERPRISES

JD - DevOps / Release &amp;amp; Build EngineerExperience: 4&ndash;7 yearsAbout the RoleWe are hiring a DevOps / Release Engineer for our enterprise-grade, high-performance AIinference platform, powered by our RDU (Reconfigurable Dataflow Unit) hardware. Our cloud-agnostic MLOps platform abstracts infrastructure complexity and enables seamlessdeployment, management, and scaling of foundation-model workloads at production scale.You will be part of the build, release, and software-supply-chain backbone of a large polyglot(Go, Rust, Python) Bazel monorepo spanning dozens of components from CI/CD and RemoteBuild Execution through release packaging, Helm/Kubernetes delivery, and security &amp;amp; licensecompliance. This is a role at the intersection of AI infrastructure, enterprise software, andDevOps.Key Responsibilities<ul><li>Keep CI/CD pipelines (CircleCI) stable, fast, and scalable - workflow optimization,</li></ul>configuration management, and reusable orbs/commands.<ul><li>Maintain the Bazel ecosystem (Go, Rust, Python), including RBE setup, caching,</li></ul>troubleshooting, and build-graph health.<ul><li>Maintain and improve our CircleCI setup, including workflow optimization and configuration</li></ul>management.<ul><li>CI release pipeline (nightly and release modes), including multi-image releases driven by</li></ul>manifest/version files.<ul><li>Build and publish artifacts (container images, Helm charts) to GAR / JFrog using tools like</li></ul>crane; manage hotfix delivery to customers.<ul><li>Develop, maintain and run build + smoke validation in the pipeline.</li><li>Partner with engineering teams across the platform to roll out infrastructure changes and</li></ul>best practices.Required Qualifications<ul><li>4+ years in DevOps / Build / Release / Platform engineering.</li><li>Bazel experience in a multi-language monorepo (Go, Rust, and/or Python).</li><li>Hands-on strong CI/CD experience (CircleCI preferred; Jenkins/GitLab CI acceptable),</li></ul>including pipeline-as-code and workflow optimization.<ul><li>Experience with Google Artifact Registry (GAR) and/or JFrog Artifact Management</li><li>Strong scripting/programming skills (Python and Bash).</li><li>Experience with Linux/Unix systems and command-line interfaces</li><li>Experience in managing dependencies in large scale projects</li><li>Problem-solving, ownership mindset and cross-functional collaboration.</li></ul>Preferred Qualifications<ul><li>Familiarity with containerization (e.g., Docker)</li><li>Experience with other CI/CD tools (e.g., Jenkins, GitLab CI/CD, etc.)</li><li>Experience with Python Package Management.</li><li>Google Cloud Platform (GAR, gcp CLI).</li><li>Knowledge of software development best practices and coding standards.</li></ul>Pay: ₹1,000,000.00 - ₹2,000,000.00 per yearBenefits:<ul><li>Provident Fund</li></ul>Work Location: In person

DevOps / Release & Build Engineer

Infosys

<div>
 <ul>
 <li>
 Primary skills:Domain-&gt;Turbomachinery-&gt;Steam Turbine-&gt;Rotor
 
 
 </li>
 </ul>
 Key Responsibilities Design, develop, and deploy machine learning and AI models Build and maintain data pipelines for training and inference Work on supervised and unsupervised learning algorithms Implement NLP, Computer Vision, or Deep Learning solutions Optimize models for performance, scalability, and accuracy Collaborate with data engineers, analysts, and product teams Deploy models using cloud platforms (AWS/Azure/GCP) Monitor model performance and perform continuous improvements Conduct data preprocessing, feature engineering, and model evaluation Document models, processes, and experiments Required Skills &amp; Qualifications Technical Skills Strong proficiency in Python Experience with Machine Learning libraries: Scikit-learn TensorFlow / PyTorch Knowledge of data manipulation tools (Pandas, NumPy) Experience with ML algorithms (regression, classification, clustering) Familiarity with Deep Learning frameworks Knowledge of NLP or Computer Vision techniques Experience in model deployment (APIs, microservices) Strong understanding of statistics and probability
 
 
 Preferred Skills (Nice-to-Have) Experience with Generative AI / LLMs (GPT, LangChain, Hugging Face) Knowledge of MLOps tools (MLflow, Kubeflow, Airflow) Experience with Docker and Kubernetes Familiarity with Big Data tools (Spark, PySpark) Experience with REST APIs and microservices architecture Knowledge of cloud AI services (AWS SageMaker, Azure ML, GCP AI) Understanding of vector databases and embeddings (FAISS, Pinecone) Exposure to CI/CD pipelines and DevOps practices
</div>

AI Engineers

LUMILENS

<div><h1 class="jobSectionHeader">Job Title: Senior Compliance Engineer</h1><h2 class="jobSectionHeader">
About Lumilens</h2>
At Lumilens, we are building the critical photonics infrastructure powering tomorrow&rsquo;s AI supercomputing. We develop chip-to-chip optical interconnects and scalable photonic engines, unlocking a new era of faster, cooler, and more efficient computing. Join our rapidly growing team and help shape the infrastructure of the future.<div> 
</div><h2 class="jobSectionHeader">
Position Overview</h2>
We are seeking a Senior Compliance Engineer with 8 to 10 years of relevant experience to ensure our optical transceiver products meet all necessary compliance and certification requirements. In this role, you will be responsible for coordinating and executing end-to-end certification activities for products, including compliance with EMC, safety, RoHS, WEEE, GR468, and relevant international standards. This is a dynamic role requiring collaboration with both local and international labs, adaptability to work in shifts, and the ability to work both independently and as part of a team.<div> 
</div><h2 class="jobSectionHeader">
Responsibilities</h2><ul><li>
Take ownership for all compliance needs of optical transceiver products, including certification to EMC, safety, RoHS, WEEE, GR468, and other global standards.</li><li>
Maintain thorough knowledge and application of EMC and safety standards for IT devices and equipment.</li><li>
Build and manage a comprehensive certification ecosystem, working with local and international labs to ensure end-to-end compliance.</li><li>
Coordinate lab scheduling and demonstrate flexibility to work in shifts, based on lab availability.</li><li>
Prepare and manage documentation required to support product certifications, ensuring full compliance with product release milestones.</li><li>
Work independently on assigned compliance projects while collaborating closely with cross-functional teams including engineering, product management, and external labs.</li><li>
Track regulatory changes and proactively update compliance processes and product certifications as needed.</li></ul><div> 
</div><h2 class="jobSectionHeader">
Required Skills &amp; Qualifications</h2><ul><li>
8 to 10 years of experience in handling product compliance for optical transceivers or related electronic hardware, including EMC, safety, RoHS, WEEE, and GR468 standards.</li><li>
Strong knowledge of EMC and safety standards for IT devices/equipment.</li><li>
Proven ability to create and manage relationships with both local and global test labs to support certification efforts.</li><li>
Comfortable with working shifts, as required by lab scheduling.</li><li>
Capable of working independently and collaboratively in cross-functional teams.</li><li>
Excellent organizational and communication skills.</li></ul><div> 
</div><h2 class="jobSectionHeader">
Why Join Lumilens?</h2><ul><li>
Competitive salary commensurate with experience</li><li>
Comprehensive benefits including health insurance</li><li>
Professional development and certification support</li><li>
Access to advanced technology and a collaborative, innovative environment</li></ul><div></div> 
Lumilens is an equal opportunity employer. All qualified applicants will receive consideration without regard to race, color, religion, gender, identity, orientation, veteran status, disability, or any other legally protected status.</div>

Senior Compliance Engineer

Collabera

Position Details:-Experience: 6-9 YearsWork Location: Gurugram (Hybrid)Mode: Full Time PermanentJob Description:We are hiring mid-to-senior level Agentic / Generative AI Engineers (6&ndash;9 years&rsquo; experience) to design and deliver production-grade LLM-powered and agentic systems. This role is ideal for engineers with a strong Data Engineering / Data Science foundation who have transitioned into hands-on GenAI delivery&mdash;building real-world solutions such as RAG based assistants, document intelligence platforms, and agent-driven workflows. You will collaborate across data, platform, and business teams to build secure, scalable, and measurable AI applications for enterprise use cases.Key Responsibilities : Design and develop LLM-powered applications using agentic patterns (single/multi agent) for business use cases Build and optimise end-to-end RAG pipelines (ingestion, embeddings, retrieval, orchestration, response synthesis) Implement prompt engineering and orchestration techniques (prompt chaining, tool/function calling, structured outputs) Develop production-grade APIs and services (FastAPI/Flask/Streamlit) for GenAI applications Integrate LLM solutions with enterprise systems, data platforms, and workflows  Apply guardrails and evaluation frameworks to improve response quality, reduce hallucinations, and ensure responsible AI usage Collaborate with Data Engineering and MLOps teams for data pipelines, deployment, monitoring, and scaling Contribute to reusable components, documentation, and engineering best practicesExperience &amp; Core Requirements (Must-Have) Overall Experience  6&ndash;9 years total experience 1&ndash;3+ years in hands-on GenAI / LLM application development (production use cases)LLM / GenAI &amp; Agentic Engineering  Strong hands-on experience with: o LLMs (Claude, OpenAI, etc.)o RAG pipelines and retrieval optimisationo GPT + Agentic AI implementation experience Experience with: o LangChain, LangGraph, or similar frameworks o Agent orchestration and tool-calling architectures Deep understanding of: LLM limitations, evaluation, and optimisation strategiesPay: ₹2,000,000.00 - ₹3,000,000.00 per yearBenefits:<ul><li>Health insurance</li><li>Life insurance</li><li>Paid time off</li><li>Provident Fund</li></ul>Work Location: In person

Senior AI Data Engineer

Explore 73+ Lead sr mlops engineer domino data lab in India this July. Find roles across top companies and apply now to boost your career.