Candidate with hands-on real-world project experience. Possessing sound fundamentals rather than surface application of techniques. Ability to learn and adapt to the ever-evolving AI field with its new techniques and technology.
Experience: 3-4 years 4B
Education: STEM field. B.Tech/B.E. /Masters in Computer Engineering or related fields
Work/Problem space:
Work will span domains – ranging from manufacturing, life-sciences, finance to retail.
Problems could span business functions - ranging from Operations, Sales, Finance, IT to HR
Core skills:
Application of Machine Learning and Data Science to problems
Statistical ML techniques, deep-learning, computer vision and NLP
Testing of models
Model performance analysis (evidence based/statistical)
Post-live monitoring of solutions
Optional/preferred:
Application of statistical techniques
Assist in deploying – API creation, docker containerization
Technology space:
OpenSource: Python and R
Coding standards based on PEP8 or Google Python
Platforms: Azure, Databricks (preferred)
Database systems: Working/integration knowledge of basic SQL based RDBMS. Optional/preferred: NoSQL document based databases (ElasticSearch/MongoDB)
Preferred: Exposure/knowledge of deployment strategies such as API and docker containers
Additional soft skills preferred:
Good communication and team working skills.
Learning attitude
Work under intermittent guidance
Agile working setting
Collaborate with team members -- architects, data engineers and deployment teams
📌 Data Analyst (Pune)
🏢 Birlasoft
📍 Pune
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