Machine learning Engineer

Salesforce

4 - 9 years

11 - 13 Lacs

hyderabad bengaluru

Posted:2 hours ago| Platform:

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Skills Required

automation coding machine learning agile data quality analytics sql crm python salesforce

Work Mode

Work from Office

Job Type

Full Time

Job Description

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.)

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