Software Developer III-Snowflake,AI/ML

Experience :- Experience: 5-7 years of overall experience. 5+ years of relevant experience in Snowflake, 2+ years of applicable work experience in ML, 2+ years of experience on Generative AI projects. Position Overview: Software Data Engineer (Snowflake + AI/ML ) will be responsible for leading the design, analysis, and delivery of data-driven solutions to significant business challenges. This role involves working at a programmatic scale, coordinating delivery with multiple stakeholder teams. The team culture emphasizes collaboration, mutual support, and continuous learning. As an AI/ML Engineer, you will provide technical guidance and thought leadership for the team and the company as a whole. The team strives for excellence in the theory and practice of Machine Learning and encourages personal development and knowledge sharing. Responsibilities: Lead, mentor, develop, and manage less-experienced members of the team to deliver key ML-powered features for our Marketing Analytics Platform. You will develop a program of work, partnering with stakeholders, to solve strategic business objectives across a range of horizons. Work on new use cases on the Application of Generative AI. Translate business requirements and objectives into problems that can be solved with a combination of Data, Statistics, and Machine Learning. You will design and implement Machine Learning capabilities that improve Autodesk s Marketing Data Platform. You will perform statistical and data analysis and exploration to generate datasets for model training and development. Collaborate with other members of the team to reach better solutions, and to position our team at the cutting edge of technology and ML practice. Minimum Qualifications: Hands on experience in working with Marketing Domain datasets. 2+ years of applicable work experience in ML. 5+ years of hands-on experience in Snowflake. 2+ years of experience on Generative AI projects. Proficiency with the Python Machine Learning stack, e.g. Pandas, etc. Knowledge of experimental design and analysis of results. Demonstrate experience with applying Machine Learning, including both Deep Learning (PyTorch) and Classical ML (Scikit-Learn). Demonstrate experience with leading Machine Learning teams in deploying and improving ML features in production. Demonstrate experience working in cross-functional teams to deliver ML solutions at scale. Familiarity with Large Language Models, especially in the context of interactive dialog systems and chatbots (RAG, Generative AI, Conversational Agents). Experience deploying systems that use NLP such as Information Retrieval (IR), Recommender Systems (RecSys), or other NLP Applications. Preferred Qualifications: SQL and experience with big data technology such as Hive, Presto, Glue, (Py)Spark, or Athena. Advanced software engineering skills including data structures and algorithms. Experience with data pipelines and model serving in AWS. Experience with MLOps, especially on AWS, at scale. Experience working with AWS Cloud Formation templates is a plus. Familiarity with Agile and SCRUM methodologies is a plus. Experience working with PowerBI to develop dashboards is a plus. Analytical skills related to working with unstructured datasets. A successful history of processing value from large, disconnected datasets. Experience working with agile, globally distributed teams. Business Title Software Developer III Contingent Type Recruited Agency Temp Flex Forward Hybrid Primary Skills Snowflake, AI/ML Secondary Skills PowerBi, AWS