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

Job Description:

Position: AI Developer (Consultant)

Experience: 3–5 Years

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.

Key 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.

Required Skills & Qualifications

  • 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
  • Transformers (Hugging Face)
  • Experience with NLP, computer vision, or generative AI projects.
  • Hands-on experience in deploying models using:
  • Azure ML / AWS Sagemaker / GCP Vertex AI
  • Docker, Kubernetes (good to have)
  • 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.

Preferred / Good-to-Have Skills

  • 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.

Soft Skills

  • Strong communication skills and ability to work with clients and business teams.
  • Self-driven, proactive, and comfortable working in a consulting environment.
  • Ability to explain complex AI concepts to non-technical stakeholders.
  • Collaboration mindset with a focus on delivering business value.