Consultant | API Developer | Kolkata | Operations, Industry & Domain Solutions | DigiGov

Role Overview

We are looking for a skilled AI Developer with 3–5 years of hands‑on experience in designing, developing, and deploying AI/ML solutions. The consultant will work closely with cross‑functional teams to build intelligent systems, automate business processes, and implement scalable models in production environments.

Responsibilities

• Develop, train, and optimize machine learning and deep learning models for real‑world applications.
• Build end‑to‑end AI pipelines, including data ingestion, processing, model development, validation, and deployment.
• Implement LLM-based solutions, NLP workflows, chatbots, and generative AI applications.
• Collaborate with business stakeholders to understand requirements, identify use cases, and define solution architectures.
• Evaluate model performance using statistical methods and tune hyperparameters for optimal results.
• Integrate AI models with applications using APIs, microservices, or cloud-based deployment.
• Work with data engineering teams to ensure data quality, versioning, and pipeline stability.
• Prepare technical documentation, design specifications, and deployment guidelines.
• Stay updated on the latest trends in AI/ML, GenAI, LLMs, MLOps, vector databases, and related technologies.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related fields.
• 3–5 years of experience in AI/ML development, including practical model deployment.
• Strong programming skills in Python and relevant libraries: NumPy, Pandas, Scikit‑Learn, TensorFlow, PyTorch, and Transformers.
• Experience with NLP, computer vision, or generative AI projects.
• Hands‑on experience in deploying models using Azure ML, AWS Sagemaker, or GCP Vertex AI.
• Knowledge of MLOps, CI/CD, model monitoring, and experiment tracking.
• Understanding of vector databases (e.g., Pinecone, Chroma, FAISS).
• Ability to write clean, maintainable, and scalable code.
• Strong analytical thinking and problem‑solving skills.

Nice to Have

• Experience with LLM fine-tuning, RAG pipelines, and prompt engineering.
• Familiarity with LangChain, LlamaIndex, or similar frameworks.
• Exposure to data engineering tools: Spark, Databricks, Airflow.
• Experience integrating AI solutions into enterprise applications (API-driven).
• Knowledge of cloud architecture patterns.

Skills

• Python
• PyTorch
• LLMs
• MLOps
• Vector Databases