Area(s) of responsibility

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 environment
• Collaborate with team members -- architects, data engineers and deployment teams