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Designs scalable data pipelines, ensures data quality, and drives data modeling for plant breeding using Python, R, SQL, and AWS.
Builds and deploys AI/ML models (ML, deep learning, NLP) to solve energy industry challenges, transitioning legacy SQL reporting to Snowflake, and optimizing data pipelines for business impact.
Builds scalable real-time recommendation systems and distributed data infrastructure, integrating cloud services and AI/ML models to analyze user behavior and optimize software performance.
Build and evaluate post-training pipelines for LLMs that generate clinically sound behavioral health documentation, ensuring accuracy and compliance in a high-stakes healthcare setting.
Lead a team to design and deploy AI-powered cybersecurity applications using Python, ML frameworks, and Kubernetes, integrating security tools and REST APIs.
This Manager role at Deloitte involves leading AI engineering workstreams to build and scale production-ready AI and Generative AI solutions for Civil Government clients. The position requires hands-on engineering expertise in Python and cloud platforms, combined with stakeholder management and delivery leadership in secure, regulated environments.
The Data Scientist / Machine Learning Engineer will design, train, and deploy AI/ML models into production environments using Python, deep learning frameworks, and cloud platforms like Azure or Google Cloud. The role involves working on NLP, clustering, and generative AI projects while ensuring compliance with responsible AI standards.
Leads end-to-end design and deployment of production-grade AI/ML and GenAI solutions, focusing on RAG platforms, agentic systems, and secure enterprise integrations using Python, AWS/Azure, and MLOps practices.
Build and deploy end-to-end GenAI/LLM applications (RAG, agentic workflows, evaluation pipelines) using Python, cloud platforms, Docker, and vector databases for a finance consulting firm in Pune.
The Senior Python Developer will lead technical architecture and build complex data processing pipelines, with a focus on 3D visualization and AI-assisted development workflows. The role involves collaborating with the CTO to guide a cross-functional team while maintaining high-quality, well-tested code.
Lead applied ML projects for industry clients, mentor junior staff, and translate academic research into practical solutions using Python, PyTorch, and related ML frameworks at an AI research institute in Edmonton.
Leads ML strategy, architecture, and team for a product company, designing signal processing and ML systems for production, optimizing model performance, and managing MLOps pipelines.
Staff ML Engineer architecting and deploying production GenAI systems (LLM-powered features, RAG workflows, agentic apps) on a team building AI-powered identity/security infrastructure, primarily using Python.
4-month co-op on an AI & Enterprise Applications team, designing and developing software applications and AI/ML solutions using Python/C#/.NET/Java, cloud platforms (Azure), and ML frameworks like TensorFlow and PyTorch.
Build AI models for contact-center knowledge assist using Python and deep-learning frameworks like PyTorch or TensorFlow.
Design and deploy production-scale GenAI systems, including RAG pipelines, agent frameworks, and evaluation workflows, to power secure AI-powered identity features.
4-month co-op on the AI & Enterprise Applications team helping design, develop, and deploy software and AI/ML solutions using Python, C#/.NET, Java, TensorFlow/PyTorch, and Azure.
Builds GenAI and ML systems for actuarial finance, translating business problems into production-ready predictive/analytical solutions with explainability, governance, and operational controls.
Lead the design and optimization of Mistplay's rewards economy by building real-time ML systems—contextual bandits, RL frameworks, predictive models—using Python, PyTorch, and SQL to personalize reward distribution for mobile gamers.
ML Engineering Intern on the Knowledge Assist team building RAG, generative knowledge assist, and enterprise search solutions for contact centers using Python and deep learning frameworks.
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