Senior Data Scientist – GenAI, LLM, Data Science, MLOps jobs in Bangalore 5 to 7 years

Cybotrix Technologies Bangalore 6–7 Years
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Job Summary
  • Company
    Cybotrix Technologies
  • Job Type
    Full Time
  • Salary
    25 - 30 LPA
  • Status
    active
  • Apply Now

Required Skills

Job Description

##Notice Period
Immediate Joiners, 15 Days to 1 Month Preferred

##Job Summary

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 should have deep expertise in Generative AI, Large Language Models (LLMs), Machine Learning, Data Science, and MLOps. The role involves building production-ready AI systems, mentoring engineers, and collaborating with cross-functional teams.

##Key Responsibilities

Design and implement scalable AI/ML architectures.
Develop Generative AI and LLM-based applications.
Build AI chatbots and intelligent automation solutions.
Develop Retrieval-Augmented Generation (RAG) pipelines.
Deploy and monitor Machine Learning models.
Manage MLOps workflows.
Implement CI/CD pipelines for ML models.
Perform model versioning and monitoring.
Integrate AI models with enterprise applications.
Build REST APIs.
Optimize AI model performance.
Improve scalability and reliability.
Reduce infrastructure costs.
Mentor junior engineers.
Conduct technical reviews.
Work with Product, Engineering, and Data teams.
Define AI roadmaps.
Stay updated with latest AI technologies.

##Required Skills

AI & Machine Learning
Machine Learning
Deep Learning
Data Science
Generative AI
Large Language Models (LLMs)
Prompt Engineering
Fine-Tuning
Model Evaluation
Natural Language Processing (NLP)
Embeddings
Vector Search
Semantic Retrieval
Programming
Python
Frameworks & Libraries
TensorFlow
PyTorch
Scikit-learn
LangChain
LlamaIndex
LLM Platforms
OpenAI
Anthropic
Gemini
Claude
Llama
Mistral
RAG & Vector Databases
Retrieval-Augmented Generation (RAG)
Pinecone
Weaviate
ChromaDB
Milvus
FAISS
Embedding Models
Retrieval Strategies
MLOps
MLOps
Model Lifecycle Management
Docker
Kubernetes
CI/CD
Model Monitoring
Production Deployment
Cloud
AWS
Azure
Google Cloud Platform (GCP)
Backend & Architecture
REST APIs
Microservices
Distributed Systems
Cloud-Native Architecture
Preferred Qualifications
AI/ML Project Leadership
Team Mentoring
AI Governance
Model Security
Responsible AI
Multi-Agent Systems
Autonomous AI Workflows
Open Source Contributions
Research Publications

##Educational Qualification

Bachelor's Degree in Computer Science
Master's Degree in Computer Science
Artificial Intelligence
Data Science
Machine Learning
Related Engineering Discipline