Senior AI/ML Engineer

2 hours ago

Greater Bengaluru Area, IN ORMAE Full time

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

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