Director of Engineering Planning & Forecasting Products Legion Technologies

5.0 - 9.0 years

0 Lacs

karnataka

On-site

Role Overview: You will be leading the Planning & Forecasting product engineering organization at Legion, taking ownership of the development team for various products including labor planning suite, demand forecasting engine, labor optimization product, and next-generation predictive AI capabilities. Your role will involve deep technical expertise in large-scale distributed systems, modern machine learning, and enterprise SaaS, along with strong leadership skills to drive high-performing engineering teams. Key Responsibilities: - Own the architecture, scalability, reliability, and performance of all Planning & Forecasting systems, including Legion's forecasting engine, labor planning algori...

Posted 1 week ago

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Project Leader - Clinical Solutions CoE Axtria - Ingenious Insights

2.0 - 6.0 years

0 Lacs

pune, maharashtra

On-site

As an AI/ML Engineer in this role, you will be responsible for designing and engineering the backbone of solutions for CSR automation. This includes owning and managing end-to-end GenAI pipelines, from ingestion to evaluation & observability. You will work on modularizing codebases to support various models, retrievers, and knowledge graphs across content creation, summarization, and Q&A. Key Responsibilities: - Own end-to-end GenAI pipelines for CSR automation, including ingestion, preprocessing/OCR, semantic chunking, embeddings/vector store, RAG/agents, evaluation & observability. - Engineer agentic workflows with LangGraph/AutoGen/CrewAI/Agno for multi-step reasoning, tool use, and human...

Posted 1 month ago

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Lead Data Scientist - Complex Subsystem Team Proximity Works

4.0 - 8.0 years

0 Lacs

karnataka

On-site

Lead a team of 4-8 data scientists to develop machine learning capabilities within a Databricks-Azure platform. Provide guidance on delivering complex machine learning systems that are in line with product and platform objectives. Strive to maintain a balance between scientific rigor and practical engineering principles. Define the model lifecycle, tooling, and architectural direction for the projects. The ideal candidate should possess advanced skills in machine learning including supervised and unsupervised modeling, time-series analysis, interpretability, MLflow, Spark, and TensorFlow/PyTorch. Additionally, expertise in engineering aspects such as feature pipelines, model serving, CI/CD p...

Posted 4 months ago

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