hybrid
Senior Analyst / MLE (ML Ops)
Senior Analyst / MLE (ML Ops)
The Senior Analyst / MLE (ML Ops) will engage with clients to understand business contexts, translate requirements into technical solutions, and collaborate with data scientists and engineers to embed AI and analytics into business decision processes. This role requires at least 3 years of experience, with proficiency in Python and familiarity with Spark/PySpark, Linux, or Unix environments.
About the role
About The Role
We are looking for a Senior Analyst who will work on a broad range of cutting-edge data analytics and machine learning problems across a variety of industries.
More specifically, you will
- Engage with clients to understand their business context.
- Translate business problems and technical constraints into technical requirements for the desired analytics solution.
- Collaborate with a team of data scientists and engineers to embed AI and analytics into the business decision processes.
Desired Skills And Experience
- 3+ years of experience with at least 2+ years of relevant DS experience.
- Proficient in a structured Python (preferred)
- Follows good software engineering practices and has an interest in building reliable and robust software.
- Good knowledge of DS concepts and professional experience in
- Developing and enhancing algorithms and models to solve business problem
- Conducting quantitative analyses and interpreting results
- Working knowledge of Linux or Unix environments ideally in a cloud environment.
- Working knowledge of Spark/PySpark is desirable.
- Excellent written and verbal communication skills.
- B.Tech from Tier-1 college / M.S or M. Tech is preferred.
Skills
PythonSparkPysparkLinuxUnix