AI Engineer 4A
Genpact (company site, opens in a new tab)JaipurHybridDirect career pageEst. 15–30 LPA
Posted on 12 Sept
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Job description
Structured overview of role & requirements
About This Role
- Analyze and explore complex datasets using advanced statistical and data cleaning techniques to identify patterns and insights.
- Develop, deploy, and monitor machine learning models including feature engineering, ensuring scalability and ongoing performance optimization.
- Create visualizations and data-driven narratives to communicate findings to technical and non-technical stakeholders, influencing decision-making.
Minimum Requirements
- Master's or Ph.D. in Statistics, Mathematics, Computer Science, Data Science, or related quantitative discipline.
- Demonstrated experience in data science, machine learning, and statistical modeling with proficiency in Python, Scala, or R.
- Experience with machine learning frameworks (TensorFlow, PyTorch, scikit-learn), data manipulation libraries (Pandas, NumPy), SQL/NoSQL databases, and version control (Git).
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Strong technical expertise in building and deploying ML models in production, including experience with large-scale data processing and machine learning algorithm application.
- Experienced in working with Databricks platform, data visualization tools, and Large Language Models (LLMs).
- Proficient in back-end development and RESTful API design, indicating capability to collaborate across data engineering and development teams.