Senior AI/ML Engineer
41 minutes ago
About UsWe 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 ResponsibilitiesUnstructured 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 SkillsGenAI & 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 forecastingDeployment & MLOps- Docker, FastAPI/Streamlit- MLflow or similar tracking system- Azure/AWS for ML deployment, storage, model endpointsSoft 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 stakeholdersGood 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 frameworksWhy 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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