Average salary: Rs685,683 /yearly
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Rs 8 - 12 lakhs p.a.
~8+ years of experience in software, data, or ML engineering, including 5+ years in MLOps or operationalizing AI/ML workflows. Deep hands-on experience with Python, Spark/PySpark, SQL, and orchestration tools such as Airflow ~ Proven experience with public cloud platforms...SuggestedWorldwideFlexible hoursAgco Corporation
Pune24 days ago- ...Job Summary: Join our customer's team as a hands-on MLOps Engineer, where you'll play a pivotal role in shaping, deploying, and automating end-to-end machine learning pipelines. Leveraging your expertise in AWS services and MLOps best practices, you will help operationalize...Suggested
micro1
Punea month ago Rs 4.5 - 8.5 lakhs p.a.
...Key Responsibilities: Research, develop, and deploy AI models in production environments. Leverage AIOps and MLOps practices for efficient model management. Contribute to DevOps practices for AI/ML using OpenShift, Azure ML, and CI/CD pipelines. Deploy and manage...SuggestedAdecco India Private Limited
Punea month ago- ...orchestration of agentic AI systems (LangChain, LangGraph, CrewAI, Copilot Studio, AgentSpace, etc.). Must Haves: ~4+ years of DevOps, MLOps, or infrastructure engineering experience. Preferably with 2+ years in AI/ML environments. ~ Hands-on experience with cloud-native...SuggestedRemote jobWorldwide
- ...Job title: MLOps Intern Requirements What You'll Do: • Work directly on a live client project developing time-series models geo science data • Design, develop, and train time-series models to identify patterns, trends, and anomalies in continuous data streams...SuggestedInternshipFlexible hours
VE3
Punea month ago - Come work at a place where innovation and teamwork come together to support the most exciting missions in the world! We are looking for a highly motivated Machine Learning Operations Engineer with 3–4 years of experience in building and deploying end-to-end ML products in ...Suggested
Qualys
Pune1 day ago - ...GPUs, specialized processors, and AI/ML platforms, based on performance, cost, and scalability considerations.- Drive the adoption of MLOps and DevOps principles to automate the deployment, monitoring, and management of AI/ML models in production, ensuring reliability and efficiency...Suggested
- ...stack rationale, roadmap.- Architect both :1. AI solutions : LLMs, RAG, agents, NLP, search, personalization, vector DBs, evaluation, MLOps, Responsible AI.2. Non-AI solutions : cloud-native microservices, APIs, workflow automation, modernization, integrations.- Be a hands-...Suggested
- ...tuning (LoRA/QLoRA) Familiarity with LangChain, LlamaIndex, Autogen, or OpenAI Assistants API Working knowledge of production‑grade MLOps (CI/CD, monitoring, observability) Experience with vector DBs like Pinecone, Chroma, Redis, Weaviate, or Milvus Understanding...SuggestedFull timeHybrid workWork at officeWorldwide
- ...processing workflows for model training and model tuning, utilizing cloud services for scalability and efficiency. Implement and champion MLOps tools and practices, ensuring seamless integration of machine learning models and LLMs into production environments. Lead the...SuggestedLong term contractPermanent employment
- ...permissions, Policy, etc.Good to haves :- Repository management and control experience for OS, Python, ML Models, etc.- Networking expertise.- MLOps experience.- Azure DevOps and Pipelines.Soft Skills (absolutely necessary) :- Able to understand and grasp complex problems.-...Suggested
- ...optimization.- Enable data science and ML workflows on Databricks (MLflow, feature store, notebooks, Automated ML) and design end-to-end MLOps strategies.- Ensure data governance, security, and compliance (IAM, encryption, Unity Catalog, data masking, lineage, access controls)...Suggested
- ..., Keras, Hugging Face).- Strong experience in cloud-based ML services (e.g., AWS SageMaker, GCP AI Platform, Azure ML).- Knowledge of MLOps tools and practices (e.g., MLflow, Airflow, Docker, Kubernetes).What You'll Do : - Prototyping - Frame GenAI use cases with experts; build...Suggested
- ...Experience in containerization (Docker, Kubernetes).- Strong analytical and problem-solving skills with attention to detail.- Good to have MLOps, DevOps including model lifecycle management- Excellent communication and collaboration skills, with a proven ability to work...SuggestedFull time
- ...planes.- Establish deployment standards using :1. Docker, Kubernetes.2. Serverless architectures.3. CI/CD and DevOps pipelines.AgentOps, MLOps & Platform Governance :- Define AgentOps / MLOps frameworks covering Model, agent, prompt, and tool versioning.- Monitoring,...SuggestedHybrid work
- ...a minimum of 8 - 11 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of...
- ...through structured training programs. The role requires deep hands-on expertise in Machine Learning, Deep Learning, LLMs, Python, and MLOps, along with the ability to guide stakeholders in building scalable learning and AI solutions.Key Responsibilities :Technical & Engineering...
- ...Collaborate with cross-regional teams across the US, UK, Europe, and India to drive knowledge sharing and innovation.- Contribute to MLOps efforts to improve model deployment, monitoring, and operational efficiency.What are we looking for : - Bachelors or Masters degree in...
- ...in AIOps, DEX, or EUC analytics domains. Knowledge of ServiceNow, performance analytics, and integration workflows. Exposure to MLOps frameworks and model deployment in enterprise environments. Advanced degree in Computer Science, Statistics, or a related field....
- ...You will lead GenAI initiatives end-to-end while mentoring engineers and driving best practices in LLM system design, evaluation, and MLOps.Key Responsibilities : GenAI Architecture & System Design : - Design end-to-end Generative AI architectures (RAG, Agents, multi-step reasoning...Hybrid workImmediate start
- ...different problem types, diagnose model performance issues (bias-variance trade-off), and apply optimization techniques. # Deployment & MLOps Concepts: Understanding of how to deploy machine learning models into production environments, including concepts of API creation,...
HCLSoftware
Pune12 days ago - ..., and deployment. Ability to design solution architectures and use tools like FastAPI or Flask for exposing ML services. Knowledge of MLOps tools like MLflow or containerization is a plus. Data handling and visualization: Skilled in working with large datasets and building...Full timeWorldwide
Mastercard
Pune15 days ago Rs 7 - 10 lakhs p.a.
...In-depth understanding of transformer architectures, RAG architecture ~ Basic knowledge of AI accelerator chips ~ Knowledge of MLOps practices to ensure the robustness and reliability of AI systems ~ Expertise in designing and implementing scalable and efficient AI...Bmw Techworks India
Punea month ago- ...knowledge of NLP based BOT Design Guidelines, Frameworks (Amazon Lex, Google Dialogflow, MS Bot Framework). Good to have knowledge in MLOps & ML Frameworks (Tensorflow, PyTorch, Sci-Kit Learn) Knowledge and in-depth understanding of Vector DB, Embeddings, RAG. Good to...
Vodafone Idea Limited
Pune11 days ago - ...applications with the latest technologies, such as high-value complex Application & Product Engineering, Data & Analytics, Cloud, DevOps, Data & MLOps, Quality Engineering, and Business Automation. Working with Us At Iris, every role is more than a job - it's a launchpad for...Full time
IRIS software
Pune3 days ago - ...Strong foundational cloud skills in either Azure or AWS for compute orchestration (AKS/EKS), serverless functions, and storage. MLOps Acumen: Solid experience with Docker, CI/CD pipelines (e.g., GitHub Actions, Argo), and model registries. Leadership & Communication...
AcquireX
Pune21 days ago - ...AI, AWS AI/ML, or Google Cloud AI. · Strong understanding of LLMs, RAG architectures, fine-tuning methods, prompt engineering, and MLOps/GenAIOps principles. · Deep familiarity with AI/ML development frameworks such as TensorFlow, PyTorch, Scikit-learn, LangChain, LlamaIndex...Full timeNight shift
Blue Altair
Pune5 days ago - ...compliance with security and governance policies Implement retrieval-augmented generation and vector database solutions Manage MLOps pipelines for AI system lifecycle Contribute to continuous improvement of AI frameworks and tools Support cross-functional teams...
EPAM Systems
Pune12 days ago Rs 10.5 - 30 lakhs p.a.
...Preferred Qualifications Experience in Agentic AI frameworks or autonomous AI systems Exposure to LLM orchestration frameworks (LangChain, Semantic Kernel, etc.) Knowledge of data engineering or MLOps practices Azure certifications (preferred but not mandatory)...Full timeFlexible hoursSigma Allied Services Private Limited
Pune14 days ago- ...loops. Understanding of healthcare data formats (FHIR, HL7, clinical notes) is highly preferred. Good to Have Knowledge of MLOps, continuous evaluation pipelines, or model observability. Experience integrating AI features into SaaS or API-first products....
Fold Health
Pune3 days ago
