As a Machine Learning Engineer/Data Engineer, you will apply statistical analysis, build models, optimize algorithms, and mentor junior developers. Responsibilities include coding, data processing, and ensuring data security.
JOB DESCRIPTION
Responsibilities
- Apply statistical analysis, and machine learning to solve business problems
- Clean, process, and analyze large datasets from multiple sources
- Write efficient, reusable, and reliable Python code for data processing and analysis.
- Build and optimize predictive models and algorithms
- Perform thorough code review to ensure adherence to coding standards and best practices
- Identify performance bottlenecks and suggest optimizations in Python code
- Validate documentation completeness and clarity
- Provide technical leadership and direction to other developers in the team
- Mentor junior team members through constructive code review feedback
- Create data visualizations to communicate findings effectively
- Document code, models, and technical processes
- Ensure data security and compliance with best practices.
Requirements
- Strong knowledge of data science libraries (NumPy, pandas, scikit-learn)
- Experience with data visualization tools (Matplotlib, Seaborn)
- Understanding of statistical analysis and machine learning concepts
- Proficiency in SQL and experience working with databases(SQL Server and Snowflake)
- Experience with version control systems (Azure DevOps)
- Excellent problem-solving skills and attention to detail.
PRIMARY LOCATION
Pune Tech Center
Top Skills
Azure Devops
Matplotlib
Numpy
Pandas
Python
Scikit-Learn
Seaborn
Snowflake
SQL
SQL Server
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What you need to know about the Pune Tech Scene
Once a far-out concept, AI is now a tangible force reshaping industries and economies worldwide. While its adoption will automate some roles, AI has created more jobs than it has displaced, with an expected 97 million new roles to be created in the coming years. This is especially true in cities like Pune, which is emerging as a hub for companies eager to leverage this technology to develop solutions that simplify and improve lives in sectors such as education, healthcare, finance, e-commerce and more.
