Skills:
Deep Learning, GenAI & LLM Solutions, Machine Learning & Advanced Analytics, NLP & Transformers, MLOps & Deployment, Cloud & Data Engineering
Department: Data Science / AI Engineering
Employment Type: Full Time
Work Mode: Onsite / Hybrid
Notice Period: Immediate to 30 Days
We are looking for a highly experienced Senior Data Scientist with deep expertise in Machine Learning, Generative AI, and Large Language Models (LLMs) to design and deploy production-grade AI systems.
This role will focus on building scalable AI solutions such as LLM-powered applications, recommendation engines, forecasting models, and intelligent automation systems. You will collaborate with cross-functional teams to translate complex business problems into impactful AI-driven solutions and contribute to the overall AI strategy.
Key Responsibilities GenAI & LLM Solutions Design and develop LLM-based applications using transformer models (GPT, LLaMA, Mistral, etc.) Build and deploy Retrieval-Augmented Generation (RAG) pipelines with vector databases Develop multi-agent AI systems using orchestration frameworks (LangChain / LangGraph) Implement advanced prompt engineering and optimization strategies Ensure model safety, guardrails, and output reliability for enterprise-grade deployments Machine Learning & Advanced Analytics Develop ML models for: Forecasting Recommendation systems Fraud detection Customer analytics and churn prediction Perform feature engineering, model tuning, and performance optimization Conduct statistical analysis, A/B testing, and hypothesis validation Work with structured and unstructured large-scale datasets NLP & Deep Learning Build NLP pipelines using transformers, embeddings, and language models Implement use cases like: Sentiment analysis Topic modeling Document intelligence Develop deep learning models (CNN, RNN, LSTM) using modern frameworks MLOps & Deployment Manage end-to-end ML lifecycle (training → validation → deployment → monitoring) Implement CI/CD pipelines for ML and GenAI systems Deploy models via APIs and scalable endpoints Ensure performance monitoring, observability, and continuous improvement Cloud & Data Engineering Work with cloud platforms (AWS / Azure / GCP) for scalable deployments Build data pipelines and data processing systems using SQL, PySpark, etc. Develop APIs and dashboards using frameworks like Flask / FastAPI / Streamlit Handle large-scale distributed datasets and optimize data workflows Required Skills & Experience Experience: 6–12 years in Data Science, AI/ML, and GenAI Strong programming skills in Python, SQL Expertise in ML frameworks: scikit-learn, XGBoost, TensorFlow, PyTorch Hands-on experience with: LLMs, GenAI frameworks, and RAG architectures NLP and transformer-based models Experience with MLOps tools, model deployment, and CI/CD pipelines Strong understanding of statistics, data modeling, and experimentation Experience working with cloud platforms and distributed systems What We Look For Strong analytical and problem-solving mindset Proven experience in deploying scalable, production-grade AI systems Ability to translate business requirements into data-driven solutions Experience working in fast-paced, high-growth environments Strong collaboration and stakeholder management skills Leadership ability, including mentoring junior team members Preferred Qualifications Bachelor’s/Master’s degree in Computer Science, Data Science, AI, or related field Certifications in Machine Learning, Deep Learning, or Generative AI Experience building enterprise-grade AI/LLM applications Exposure to multi-modal AI, agentic systems, or GenAI platforms Why This Role is High Impact Work on cutting-edge GenAI and LLM-driven systems Opportunity to build scalable, real-world AI products Direct influence on product innovation and business outcomes High ownership with strong growth and leadership opportunities#DataScience #AIJobs #GenAI #MachineLearning #LLM #HiringNow #TechCareers #AIEngineering #NLP #DeepLearning #MLOps #CloudComputing #AnalyticsJobs #CareersInAI