Overview:

Enterprise Quality Solutions is the IT process and strategy consulting practice at Infosys. It provides consulting and implementation services in the areas of Enterprise Agile and DevOps transformation, lean agile methods,GRC, modern DevSecOps architecture, SRE, and tooling on various cloud platforms etc. It leverages internal Infosys best practices, Industry standard frameworks and the cumulative experience of approximately 500+ consulting engagements to improve the ways of working of our clients' IT organizations.

Description:

Data Science Consultant with machine learning and Python experience. Knowledge on end-to-end architecture of Data Science and machine learning project. Experience in productionizing machine learning models and guide development team for implementing machine learning use cases. The candidate should provide technology consulting for defining right Data Science and ML use cases.

Must-have (baseline)

• Python, data structures, basic software engineering discipline (clean code, testing)
• ML fundamentals: supervised/unsupervised learning, metrics, bias/variance, evaluation
• Data handling: SQL, data quality, feature understanding
• Git, basic CI/CD awareness
• Cloud basics (any of AWS/Azure/GCP), containers (Docker) basics

Good-to-have:

• Distributed computing: Spark, Ray
• Data engineering familiarity: ETL/ELT, orchestration (Airflow/ADF)
• Security basics: secrets management, IAM concepts