Machine learning Engineer (Hyderabad, Bangalore)

Description

Salesforce is looking for an exceptional Machine Learning Engineer to help us take on one of the world’s most extensive data sets and transform it into amazing products that feel like magic. You will work on innovative AI applications and products. Brainstorming data product ideas with data scientists and engineers to build data products used by hundreds of millions people every day.In your role as a Machine Learning Engineer, you will partner with analysts, engineers, designers, executives, product managers, marketers, customer success, and sales team members across all Cloud businesses to create ML-driven decision making data products that enable our partners to affect the bottom line and solve critical business problems.Your Impact:

• Work closely with a dedicated team of machine learning professionals on a wide range of problems including forecasting significant business metrics such as sales and capacity, churn and propensity modeling to retain and grow our customer base, clustering and classification using both structured and unstructured data, and more!
• Help create high-visibility data products and decision-making tools for Salesforce’s leaders.
• Lead the charge on taking our core products to the next level in terms of engineering maturity and architecture.
• Refine and develop new data science products, workflows, tools, and automation.
• Build tools to monitor data pipeline performance, data quality, and models in production.
• Establish best practices with coding standards, workflows, tools, and product automation.
• Review and maintain existing tool-set and codebase (pipelines, models, algorithms); continue to improve existing tools and build new ones.
• Scale the operations of the data science team by building automation and libraries.
  
  

Required Skills

• 4+ years of industry experience and a passion for crafting, analyzing and deploying machine learning-based solutions.
• Experience working as part of a team with mature data science products.
• Consistent record in building software and data products using modern development lifecycle methodologies: CI/CD, QA, and Agile Methodologies.
• Applied experience designing, building, and optimizing data pipelines, architectures, and data sets.
• Experience deploying, monitoring, and maintaining data science products in cloud environments such as AWS or Microsoft Azure.
• Good understanding of Machine Learning methods and Statistics, including ML project lifecycle and associated challenges at each stage of development.
• Proficient at writing good quality, well-documented and tested, scalable code - Python preferred. Experience with tools like mlFlow, Airflow, Docker and Cloud Platforms such as AWS/GCP is ideal.
• Solid understanding of data transformations and analytics functions using tools/languages like Pandas, Sklearn, SQL, and Spark.
• Strong communication skills and ability to interface well with other engineers, data scientists and product managers.
• Passion, curiosity, solutions focus, and independence.
• Degree or equivalent relevant experience required. Experience will be evaluated based on the core competencies for the role (e.g. extracurricular leadership roles, military experience, volunteer roles, work experience, etc.)