Software Engineer (Python & Machine Learning)

• Member of a software engineering team involved in development & design of the AI Data Platform built on NetApp’s flagship storage operating ONTAP.
• ONTAP is a feature rich stack with its rich data management capabilities that has tremendous value to our customers and are used in mission critical applications across the world. You will work as part of a team responsible for the development, testing and debugging of distributed software that drives NetApp cloud, hybrid-cloud, and on-premises AI/ML solutions.
• As part of the Research and Development function, the overall focus of the group is on competitive market and customer requirements, supportability, technology advances, product quality, product cost and time-to-market. Software engineers focus on enhancements to existing products as well as new product development. 
• This is a mid-level technical position that requires an individual to be broad-thinking, systems-focused, creative, team-oriented, technologically savvy, able to work in a small and large cross-functional teams, willing to learn and driven to produce results.

• Proficiency in Programming Languages like Python, Scala, GO
• Strong programming skills in Python for implementing machine learning algorithms, data manipulation, and model development.
• Hands-on experience using Machine Learning Libraries and Frameworks: PyTorch, TensorFlow, Keras, Open AI, LLMs ( Open Source), LangChain etc with the capability to efficiently utilize them for developing and experimenting with models.
• Experience with Data Processing and Data management skills – NoSql Document Databases  (e.g., Mongo DB, Cassandra, Cosmos DB, Document DB)
• Experience with Big Data Technologies: Understanding big data technologies and platforms like Spark, Hadoop and distributed storage systems for handling large-scale datasets and parallel processing.
• Experience working with Rest APIs and Micro Services –  Flask, API frameworks (Nice-to-have)

Typically requires a minimum of 4-8 years of related experience with a bachelor’s degree or a master’s degree; or a PhD with relevant experience.