10 Mlop Jobs

Key Responsibilities: Design, build, and maintain CI/CD pipelines for GenAI model development, training, and deployment. Automate provisioning and scaling of infrastructure for GenAI workloads using tools like Terraform , Ansible , or Pulumi . Optimize GPU/TPU usage and monitor model performance in production environments. Integrate GenAI workflows (e.g., LLM fine-tuning, embedding generation, RAG pipelines) into production-grade infrastructure. Collaborate with ML Engineers, Data Scientists, and Platform Engineers to ensure reproducibility, versioning, and traceability of models and datasets. Implement observability for GenAI workloads (logging, monitoring, alerting). Ensure best practices ...

What role looks like: We are looking for a hands-on, contributor role SDE II for an AI/ML Engineer with a specialization in Generative AI and Agentic AI . You will work as a key member of our AI team, responsible for the development and implementation of our agentic systems and generative models. You'll collaborate with senior engineers and product managers to turn innovative ideas into functional, production-ready features. This role is perfect for a talented engineer who is eager to deepen their expertise and contribute directly to the core technology that defines our product. What you'll Deliver: You will be responsible to build and integrate Generative AI and Agentic AI features into our...

What role looks like: We are looking for a high impact, hands on role for SDE III with a deep specialization in Generative AI and Agentic AI. You will be responsible for driving our most ambitious AI initiatives, responsible for the end-to-end lifecycle of our agentic systems and generative models. You'll work closely with cross functional teams including product management, Engineering, to translate complex business problems into elegant, autonomous AI solutions. As a key you will be responsible to lead the design and implementation of AI-driven features across our SaaS platforms. What you'll Deliver: Design, develop, and deploy a new generation of autonomous AI agents that can perform comp...

Role & responsibilities Experience working on AWS Cloud is a must, Data Science, Machine Learning , LLP, Deployment Experience. Preferred candidate profile Machine learning engineer having minimum 7 years of relevant experience & Aws minimum 3 Years.

Dear candidates, Looking for MLOPS Engineer. 1. Job Description Expertise in using Sage Maker for building, training, deploying Model hosting and endpoint management. Sage Maker Pipelines for automating ML workflows Sage Maker Feature Store for managing features. o Expertise in using Sage Maker for building, training, deploying Sage Maker Pipelines for automating ML workflows Sage Maker Feature Store for managing features. 2. Location and Flexible locations Pune, Mumbai, HYD, BLR 4. Level of experience 6-9 yrs, min 3 yrs as ML Ops 5. Primary Skills AWS, Python, Terraform, Sage Maker Kindly share your CV wakdevi@crownsolution.com

Location : Bangalore (Hybrid) Experience : 35 Years Work Mode : Hybrid (2–3 days onsite/week) Apply To : gopi.c@acesoftlabs.com | 9701923036 Job Description We are looking for a skilled and analytical Data Scientist to join our team. The ideal candidate should have hands-on experience in building and deploying machine learning models, working with large datasets, and generating actionable insights that drive business value. Key Responsibilities Develop and deploy machine learning and statistical models Analyze large datasets to uncover trends, patterns, and insights Build dashboards and visualizations to communicate findings Work closely with engineering, product, and business teams to under...

Rapid7, a global cybersecurity company, is expanding its AI Centre of Excellence in India. We seek a Senior AI Engineer (MLOps) to build and manage MLOps infrastructure, deploy ML models, and support AI-powered threat detection systems. Work Location: Amar Tech Park Balewadi - Hinjawadi Rd, Patil Nagar, Balewadi, Pune, Maharashtra 411045 Key Responsibilities: Build and deploy ML/LLM models in AWS using Sagemaker, Terraform. Develop APIs/interfaces using Python, TypeScript, FastAPI/Flask. Manage data pipelines, model lifecycle, observability, and guardrails. Collaborate with cross-functional teams; follow agile and DevOps best practices. Requirements: 5+ years in software engineering, 3-5 yea...

Responsibilities: Develop and maintain data pipelines using GCP. Write and optimize queries in BigQuery. Utilize Python for data processing tasks. Manage and maintain SQL Server databases. Must-Have Skills: Experience with Google Cloud Platform (GCP). Proficiency in BigQuery query writing. Strong Python programming skills. Expertise in SQL Server. Good to Have: Knowledge of MLOps practices. Experience with Vertex AI. Background in data science. Familiarity with any data visualization tool.

Preferred candidate profile - Currently serving Notice Period who can join with in 15--20 days only ! EXPERIENCE Minimum relevant experience - 4+ years in AI Engineering SKILLS AND COMPETENCIES Technical Skills: • Advanced proficiency in Python with expertise in data science libraries (NumPy, Pandas, scikit-learn) and deep learning frameworks (PyTorch, TensorFlow ) • Extensive experience with LLM frameworks (Hugging Face Transformers, LangChain) and prompt engineering techniques • Experience with big data processing using Spark for large-scale data analytics • Version control and experiment tracking using Git and MLflow • Software Engineering & Development: Advanced proficiency in Python , f...

Very Urgent: AI Specialist / Gen AI Specialist with Python Company: AurumData Solutions India Pvt Ltd Experience: 7+years (4-5 yrs relevant exp in AI/ML & GenAI) Location: Knowledge City - Hyderabad Job Mode: Permanent Work Type: Work From Office Key Skills: AI/ML, GenAI, LLM, RAG, NLP, Python, /DL, Agentic AI, TensorFlow, PyTorch, Scikit-learn, cloud platforms (AWS, GCP, or Azure) AI Specialist Job Description: We are seeking an experienced AI Specialist to develop, implement, and optimize artificial intelligence (AI) and machine learning (ML) models. The ideal candidate will have a strong background in AI, deep learning, natural language processing (NLP), and data science. This role involv...