QJConsulting
Website:
qjconsulting.in
Job details:
AI/ML Engineer
3–5 Years Experience · Full-Time · Kolkata, India
Location: Kolkata, India
Engagement: Full-Time
Experience: 3–5 Years in AI/ML Engineering
Role Summary
We are looking for an AI/ML Engineer with 3–5 years of hands-on experience building production-grade machine learning systems, LLM-powered pipelines, and data-intensive applications. You will own the development and deployment of AI models and intelligent automation features across QJ Consulting's product suite and client delivery engagements.
The ideal candidate is equally comfortable prototyping a new NLP extraction layer, debugging a Cloud Run deployment, and presenting a solution architecture to a client's technical team.
Key Responsibilities
- AI/ML Development
- Design, train, evaluate, and deploy machine learning and deep learning models for classification, regression, forecasting, and anomaly detection use cases across supply chain, finance, and operations domains
- Build and productionize LLM-powered pipelines — including prompt engineering, RAG architectures, structured extraction, and multi-step agent workflows — using Vertex AI, Bedrock, or self-hosted open-weight models
- Develop multi-modal AI capabilities (text, document, image) integrated with client ERP data and operational workflows
Technical Requirements
- Machine Learning & AI
- Proficiency with Python for ML/DL: scikit-learn, XGBoost/LightGBM, PyTorch or TensorFlow
- Hands-on experience with LLMs: prompt engineering, fine-tuning, RAG pipelines, LangChain or LlamaIndex
- Experience with NLP tasks — entity extraction, classification, summarisation, semantic search — on unstructured enterprise documents
- Familiarity with model evaluation, hyperparameter tuning, and ML experiment tracking (MLflow or equivalent)
- Understanding of time-series forecasting and anomaly detection for operational data
Good to Have
- Exposure to AWS (Lambda, Bedrock, RDS) for multi-cloud deployments
- Experience with graph-based retrieval (Neo4j, property graphs) for knowledge-intensive AI applications
- React/Next.js familiarity for contributing to full-stack delivery
- Prior work with ERP systems (SAP, Oracle, TCS iON, Tally) or supply chain / finance data
- Knowledge of air-gapped / on-premises AI deployment using open-weight models (Gemma, Llama, Mistral)
Candidate Profile
- 3–5 years of hands-on experience in AI/ML engineering in a production environment — not just academic or notebook-level work
- Comfortable working across the full stack: data ingestion → model → API → deployment
- Strong written and verbal communication — able to write clean technical specs and present to senior client stakeholders
- High ownership mentality proactively identifies blockers, communicates clearly, and delivers without handholding
- Intellectually curious — keeps up with the rapidly evolving LLM and AI tooling landscape and applies emerging methods pragmatically
- Comfortable in a fast-paced, high-accountability consulting environment where requirements evolve with client needs
Click on Apply to know more.