Snowflake Data Science Manager Kasmo Cloud Solutions

5.0 - 8.0 years

15 - 30 Lacs

Hyderabad

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About Opportunity: Kasmo is seeking a skilled and forward-thinking Data Science Manager with deep expertise in Snowflake AI/ML technologies, including Snowflake Cortex, ML development tools, and Generative AI, to join our team in Hyderabad, India. As a key leader in our clients Data Science and Machine Learning team, you will leverage the full suite of Snowflake's AI/ML and Cortex capabilities to develop, deploy, and manage cutting-edge machine learning solutions and drive AI-powered business transformation. Primary Roles & Responsibilities: Collaborate with business stakeholders, data engineers, and analysts to understand use cases and deliver scalable ML and AI solutions using Snowflake. Build and deploy machine learning models using Snowflake ML tools, including ML Functions, Snowpark ML Development, and ML Jobs. Harness the power of Snowflake Cortex, including: AISQL: Automatically generate and optimize SQL queries using natural language input. Snowflake Copilot: Collaboratively build and refine SQL queries with LLM-powered assistance. Document AI: Extract insights from unstructured documents such as PDFs and Word files. Cortex Fine-tuning: Customize LLMs for specific business or domain needs. Cortex Search: Implement AI-driven question-answering systems over document repositories. Cortex Analyst: Translate natural language into powerful, production-ready SQL. Use Snowflake ML Ops for managing the full ML lifecycle: Register and deploy models via Model Registry Leverage Feature Store and Datasets for consistent, reusable ML features and versioned data Run scalable training/inference pipelines using Container Runtime and manage compute environments within Snowflake Notebooks Ensure model robustness through ML Observability and Explainability tools and track end-to-end provenance with ML Lineage. Stay ahead of industry trends and Snowflake platform updates to introduce new capabilities and best practices to the team. Required Skills Bachelors or masters degree in computer science, Data Science, Engineering, or a related field. 5+ years of experience in Data Science or Machine Learning roles, with proven success delivering production ML models. Strong hands-on experience with Snowflake, especially its advanced AI/ML features and the Snowflake Cortex ecosystem. Proficiency in ML frameworks such as scikit-learn, XGBoost, or LightGBM via Snowpark ML or Snowflake's Python SDKs. Familiarity with building end-to-end ML pipelines, deploying models, and managing them through MLOps processes. Solid understanding of LLMs, GenAI tools, and how to apply them to real-world business problems. Experience working with large-scale structured and unstructured data. Excellent communication and collaboration skills in a remote-first team environment.

Posted 6 days ago

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Senior Engineer ZS Associates India Pvt Ltd

3 - 4 years

5 - 6 Lacs

Noida, Gurugram, Bengaluru

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Senior Engineer: The T C A practice has experienced significant growth in demand for engineering & architecture roles from CST, driven by client needs that extend beyond traditional data & analytics architecture skills. There is an increasing emphasis on deep technical sk ills like s uch as strong ex pertise i n Azure, Snowflake, Azure OpenAI, and Snowflake Cortex, along with a solid understanding of their respective functionalities. In dividual w ill work on a robust pipeline of T C A-driven projects with pharma clients . This role offers significant opportunities for progression within the practice. What Youll Do Opportunity to work on high-impact projects with leading clients. Exposure to complex and technological initiatives Learning support through organization sponsored trainings & certifications Collaborative and growth-oriented team culture. Clear progression path within the practice. Opportunity work on latest technologies Successful delivery of client projects and continuous learning mindset certifications in newer areas Contribution to partner with project leads and AEEC leads todeliver complex projects & growTCA practice. Development of experttech solutions for client needs with positive feedback from clients and team members. What Youll Bring 3- 4 years of experience in RDF ontologies, RDF based knowledge graph (Anzo graph DB preferred), Data modelling, Azure cloud and data engineering Understanding of ETL processes, Data pull using Azure services via polling mechanism and API/middleware development using Azure services. Strong ability to identify data anomalies, design data validation rules, and perform data cleanup to ensure high-quality data. Experience in pharma or life sciences data: Familiarity with pharmaceutical datasets, including product, patient, or healthcare provider data, is a plus.

Posted 2 months ago

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