Senior Ai / Ml Engineer

About Us

We are a fast-growing consulting firm specializing in Data Science, Optimization, and GenAI with clients across retail, manufacturing, pharma & healthcare, financial services, supply chain, and more.

We are now looking for a hands-on Senior AI / ML Engineer (4+ years) who can lead end-to-end engagements — from exploration to deployment — with a strong focus on unstructured data, LLM applications, and real-world AI systems .

Key Responsibilities

Unstructured Data & GenAI

Design and develop LLM-driven applications including RAG, agentic workflows, prompt orchestration, and domain-tuned models.

Build NLP pipelines for classification, extraction, summarization, OCR / NER , and insight generation.

Work with multi-modal data and contribute to early-stage Computer Vision use cases (classification, detection, quality control).

Forecasting & Predictive Modelling

Implement statistical, ML, and DL forecasting models (ARIMA, Prophet, hierarchical / causal / time-series ML).

Design model selection frameworks, feature engineering pipelines, and scalable inference engines.

Engineering & Deployment

Build and deploy APIs using FastAPI / Streamlit , containerize using Docker , and automate pipelines.

Deploy and monitor solutions on Azure or AWS using best practices in reproducibility, CI / CD, and version control.

Collaborate with Power BI engineers to integrate outputs into client-facing dashboards.

Consulting & Internal Accelerator Development

Translate ambiguous business problems into structured ML solutions.

Contribute to internal accelerators for GenAI, forecasting, optimization, and automation .

Work closely with cross-functional teams — operations, consulting, and leadership — to drive delivery.

Required Skills

GenAI & Unstructured Data

Strong experience with Transformers, LLMs, embeddings, RAG, LangChain / LlamaIndex , or equivalent.

Hands-on with NLP tasks : NER, QA, summarization, topic modelling, semantic search.

Exposure to OCR / CV pipelines (OpenCV, YOLO, Detectron2, or similar).

Core Data Science

Python (pandas, numpy, scikit-learn, PyTorch / TensorFlow)

SQL, data modelling, feature engineering

Forecasting : ARIMA / SARIMA, Prophet, ML-based forecasting, hierarchical forecasting

Deployment & MLOps

Docker, FastAPI / Streamlit

MLflow or similar tracking system

Azure / AWS for ML deployment, storage, model endpoints

Soft Skills

Strong analytical mindset and ability to own projects end-to-end

Comfort working in a lean, high-autonomy consulting setup

Ability to communicate with technical and business stakeholders

Good to Have

Basic understanding of operations research / optimization models

Experience integrating ML outputs into Power BI

Prior consulting or client-facing experience

Exposure to multi-agent / agentic AI frameworks

Why Join Us

Work across cutting-edge GenAI, LLM, and unstructured data problems

Ownership and direct impact in a small, high-talent team

Hands-on involvement in designing real client-facing agentic systems and automation tools

Opportunity to lead innovation across multiple industries