Senior AI/ML Engineer
1 week ago
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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AI/ML Engineer
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Senior ML/AI Engineer
2 weeks ago
bangalore, India Tritonium Full timeAbout Tritonium: Tritonium is an AI-powered SaaS platform transforming how mobile product teams understand their users. We process millions of pieces of user feedback and turn them into actionable insights using state-of-the-art language models. Our platform helps growth-stage companies protect their app ratings, prioritize the right features, and respond to...
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Senior ML Engineer – LLMs
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Senior ML Engineer – LLMs
3 days ago
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Senior AI/ML Engineer
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