Role Description

We are looking for a highly skilled Senior AI/ML Engineer to lead the development of our next-generation intelligence platforms. In this role, you will bridge the gap between traditional predictive modeling and cutting-edge Generative AI. You will be responsible for the full lifecycle of ML development from data pipeline construction and model training to deployment and monitoring.

Ideal candidates will have deep hands-on experience with major deep learning frameworks and a strong passion for integrating Large Language Models (LLMs) and Small Language Models (SLMs) using RAG architectures.

Key Responsibilities

1. Model Development & Engineering

- Design, build, and deploy robust machine learning models using TensorFlow , PyTorch , or Keras for predictive analytics, classification, and computer vision/NLP tasks .
- Develop scalable data pipelines to pre-process, clean, and structure structured and unstructured data for model training.

2. Generative AI & RAG Implementation

- Architect and implement Retrieval-Augmented Generation ( RAG ) systems to ground LLM responses in proprietary company data.
- Orchestrate complex LLM workflows using frameworks like LangChain or LlamaIndex .
- Integrate third-party LLM APIs (OpenAI, Anthropic, Gemini) and open-source models (Llama 3, Mistral) into production applications.

3. Model Tuning & Optimization

- Fine-tune Small Language Models (SLMs) and LLMs for domain-specific tasks using techniques like LoRA, QLoRA, and PEFT to balance performance with computational efficiency.
- Optimize model inference latency and throughput for production environments (e.g., using ONNX, TensorRT).

4. MLOps & Deployment

- Collaborate with DevOps to containerize models (Docker/Kubernetes) and deploy them via TorchServe , TensorFlow Serving, or Triton Inference Server .
- Implement experiment tracking and model registry workflows using MLflow or Weights & Biases (W&B;) .

5. Technical Leadership

- Mentor junior developers and conduct code reviews.




- Translate complex business requirements into technical AI/ML specifications.

Required Qualifications

- Education: Bachelor s or Master s degree in Computer Science, Data Science, Mathematics, or a related field.
- Experience: 5 8 years of professional experience in Software Engineering with a specific focus on AI/ML.
- Mastery of Python and strong familiarity with libraries such as NumPy, Pandas, and Scikit-learn.
- Extensive hands-on experience with TensorFlow (preferred) or PyTorch (Experience with both is a strong plus).
- Strong knowledge of Pattern Recognition and Neural Networks
- Solid foundation in Computer Science and Algorithms
- Proficiency in Statistics and machine learning concepts
- Experience in deploying machine learning models in production environments
- Solid understanding of NLP techniques (T okenization, Embeddings, Transformers, Attention Mechanisms ).
- Proficiency in SQL and experience handling large datasets.

Preferred Experiences

- GenAI Stack: Experience with frameworks like LangChain, LlamaIndex, or Haystack.
- Vector Databases: Hands-on experience with vector stores such as Pinecone, Milvus, Weaviate, ChromaDB or FAISS .
- Model Tuning: Proven track record of fine-tuning open-source models (e.g., Hugging Face transformers) on custom datasets.
- Cloud AI: Experience with AWS SageMaker, Azure AI Studio, or Google Vertex AI.
- Big Data: Experience handling large-scale datasets using Apache Spark or Databricks .

Soft Skills & Competencies

- Problem Solver: Ability to break down ambiguous problems into solvable algorithmic components.
- Continuous Learner: The AI landscape changes weekly; you must demonstrate a hunger to keep up with the latest papers and techniques.
- Communication: Ability to explain complex model behaviors to non-technical stakeholders.

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Senior AI/ML Engineer (Kolkata)
🏢 Tuteck
📍 Kolkata