Looking For Senior Data Scientist || GEN AI | LLM | NLP

Overview:

We are seeking an exceptional and technically accomplished Senior Data Scientist to join our rapidly growing team. This role is ideal for a hands-on AI expert with deep experience in Large Language Models (LLMs), Natural Language Processing (NLP), Cognitive AI, Conversational AI, and Agentic AI systems.

You will work on designing, developing, and scaling state-of-the-art AI solutions that drive business innovation, operational intelligence, and customer experience transformation. This is a high-impact individual contributor role, focused on technical excellence and product-grade AI development.

Key Responsibilities

LLM & Cognitive AI Solution Development

• Architect and fine-tune LLM-based solutions (e.g., GPT, LLaMA, Claude, Mistral) using transfer learning, PEFT, and retrieval-augmented generation (RAG).
  
• Develop Agentic AI architectures with autonomous behavior and multi-agent collaboration capabilities.
  
• Apply prompt engineering, in-context learning, and tool former-style techniques to enable complex reasoning and task execution.
  
• Build Conversational AI systems using Transformer-based backbones and orchestration tools (LangChain, Haystack, Rasa, Semantic Kernel).
  

Natural Language Processing (NLP)

• Design and implement advanced NLP pipelines for semantic search, summarization, NER, text classification, and knowledge extraction.
  
• Utilize and integrate tools such as SpaCy, BERT, RoBERTa, GloVe, Word2Vec, NLTK, and TextBlob.
  
• Conduct advanced text preprocessing, dependency parsing, sentiment analysis, tokenization, and multilingual NLP modeling.
  

AI/ML Engineering

• Build scalable ML pipelines with FastAPI, gRPC, and RESTful interfaces.
  
• Containerize services using Docker and deploy to production environments via Kubernetes and cloud-native workflows.
  
• Integrate models into real-time and batch data systems, optimizing for latency, throughput, and reliability.
  

Cloud & Infrastructure

• Develop and deploy solutions on AWS, Azure, or Google Cloud Platform (GCP).
  
• Leverage services like SageMaker, Vertex AI, Azure ML Studio, and serverless orchestration tools.
  

MLOps & CI/CD

• Design and maintain end-to-end MLOps pipelines using tools like MLflow, Kubeflow, or TFX for reproducibility and traceability.
  
• Automate model testing, monitoring, versioning, and rollback strategies in production.
  

Big Data & Analytics

• Apply Spark, Hadoop, and Hive to process large-scale datasets efficiently.
  
• Perform complex data transformations and statistical modeling to extract actionable insights.
  

Database & Data Engineering

• Interface with SQL and NoSQL systems (PostgreSQL, MongoDB, DynamoDB, etc.) for efficient data retrieval and processing.
  
• Design data schemas and optimize query performance for AI-centric applications.
  

Cross-functional Collaboration

• Work closely with product managers, engineers, and domain experts to identify high-impact problems and deliver AI-driven solutions.
  
• Communicate findings and solution architectures clearly to technical and non-technical stakeholders.

Technical Skills

• Expert in Python, PyTorch, HuggingFace Transformers, LangChain, and OpenAI/Anthropic/LLama APIs.
  
• Deep understanding of Transformer architectures, Attention Mechanisms, and LLM fine-tuning techniques.
  
• Familiarity with Agentic AI paradigms, including memory management, autonomous goal completion, and tool use.
  
• Strong experience with cloud platforms, container orchestration (Docker + Kubernetes), and deployment automation.
  
• Proficient in statistical modeling, probabilistic reasoning, and experimental design.
  

Bonus

• Experience in Online Reputation Management (ORM) or product-centric platforms.
  
• Publications or open-source contributions in AI/ML/NLP.