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optimhire
Senior AI ML Engineer - GenAI LLM Data Science and MLOps
optimhire
Bengaluru•On-site•6-9 Yrs•Jul 7
Job description
Overview
----------------------------------------------- Senior AI/ML Engineer – GenAI, LLM, Data Science & MLOps
Responsibilities
- ----------------------------------------------
- Design and implement scalable AI/ML architectures and solutions.
- Lead the development of Generative AI, LLM, chatbot, and intelligent automation initiatives.
- Build and optimize Retrieval-Augmented Generation (RAG) pipelines.
- Develop, deploy, and monitor machine learning models in production environments.
- Own MLOps workflows, including CI/CD, model versioning, monitoring, and automation.
- Integrate AI models with enterprise applications and APIs.
- Optimize model performance, scalability, reliability, and cost efficiency.
- Mentor junior engineers and conduct technical reviews.
- Collaborate with Product, Engineering, and Data teams to define and execute AI roadmaps.
- Stay updated with the latest advancements in AI, GenAI, LLMs, and MLOps technologies.
Qualifications
- Location: On-site
- Employment Type: Full-time
- Notice Period: Immediate Joiners, 15 Days to 1 Month Preferred
- About the Role
- We are looking for a highly skilled Senior AI/ML Engineer to lead the design, development,
- deployment, and optimization of scalable AI solutions. The ideal candidate will have deep expertise in Generative AI, Large Language Models (LLMs), Machine Learning, Data
- Science, and MLOps. You will be responsible for building production-ready AI systems,
- driving innovation, mentoring junior team members, and collaborating with cross functional teams to deliver impactful AI-powered solutions.
- Strong expertise in Machine Learning, Deep Learning, and Data Science.
- Hands-on experience with Generative AI and Large Language Models (LLMs).
- Strong understanding of NLP, embeddings, vector search, and semantic retrieval.
- Python programming expertise.
- similar frameworks.
- equivalent models.
- RAG & Vector Databases
- Hands-on experience with vector databases such as Pinecone, Weaviate,
- Knowledge of embedding models and retrieval strategies.
- Strong experience with MLOps practices and model lifecycle management.
- Expertise in deploying AI/ML solutions in production environments.
- Understanding of scalable cloud-native architectures.
- Knowledge of AI governance, model security, and responsible AI practices.
- Exposure to multi-agent systems and autonomous AI workflows.
- Contributions to open-source AI projects or published research are a plus.
- overall: 5 years (Required)
- Python: 5 years (Required)
- Machine Learning: 5 years (Required)
- Data Science: 5 years (Required)
- Deep Learning: 5 years (Required)
- Generative AI: 5 years (Required)
- Large Language Model (LLM): 5 years (Required)
Education
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data
- Work on cutting-edge AI and Generative AI technologies.
- Build impactful products used by real customers.
- Collaborate with a talented and innovative engineering team.
- Opportunity to shape AI strategy and architecture decisions.
- Competitive compensation and career growth opportunities.
- What is your notice period in days? (30)
- What is your expected CTC in LPA? (35)