The Role
Seek a Machine Learning Engineer/Data Engineer to apply statistical analysis and machine learning, process large datasets, and provide technical leadership.
Summary Generated by Built In
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 CenterTop Skills
Azure Devops
Matplotlib
Numpy
Pandas
Python
Scikit-Learn
Seaborn
Snowflake
SQL
SQL Server
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The Company
What We Do
Adient is a global leader in automotive seating. With approximately 77,000 employees in 32 countries, Adient operates 202 manufacturing/assembly plants worldwide. We produce and deliver automotive seating for all major OEMs. From complete seating systems to individual components, our expertise spans every step of the automotive seat-making process. Our integrated, in-house skills allow us to take our products from research and design to engineering and manufacturing — and into more than 19 million vehicles every year.
