Senior AI/ML Engineer
ORMAE
5 - 10 years
Bengaluru
Posted: 04/01/2026
Job Description
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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