Data Scientist

Infosys; Hyderabad; Presencial; INR 3 000 000 - 4 500 000; Tempo integral

Resumo da oferta

Infosys Hyderabad seeks an experienced ML/AI Engineer to deliver end-to-end machine learning and GenAI solutions, from problem framing to production deployment. Collaboration with product, data engineering and business teams is essential.

The role requires 5+ years of experience, advanced degrees, and a strong core stack including Python, Spark, Git, Databricks/MLflow, and cloud tools. Familiarity with Databricks Mosaic AI and Vector Search is advantageous.

Qualificações

• 5+ years delivering end-to-end data science projects.
• Master’s or PhD in Data Science, ML, Statistics, CS or related field is required from this level onward.
• Core stack includes Python, Spark, Git; ML frameworks; Databricks/MLflow; cloud basics.

Responsabilidades

• Translate business needs into ML/AI problem statements and measurable success metrics.
• Develop ML models and GenAI components with clear evaluation criteria.
• Run evaluation with offline metrics, error analysis, bias checks, and monitoring baselines.

Conhecimentos

Python

Spark

Git

Formação académica

Master's or PhD in Data Science/ML/Statistics/CS/Applied Math

Ferramentas

Databricks

MLflow

Azure

Azure OpenAI

Databricks Mosaic AI

Databricks Vector Search

Descrição da oferta de emprego

Job Description

About the Role

We are looking for someone who delivers machine learning and modern AI (including generative AI where relevant) solutions end-to-end, from problem framing to production deployment, partnering closely with product, data engineering and business teams.

Location

Location: Hyderabad

Experience

Experience: 5+ years

Global stakeholder exposure

Opportunity to be part of a large-scale transformation journey

Good to have experience in consumer goods, manufacturing, retail, or related industry domains.

Technical Skills Required

• Python (pandas, numpy) + Git for reproducible development
• Databricks (Notebooks, Workflows) for development and orchestration
• MLflow (experiments, tracking, model registry) for lifecycle management
• Azure (cloud services; where relevant Azure OpenAI and Azure AI Foundry for GenAI build/evaluation)
• Databricks Mosaic AI (including Mosaic AI Model Serving) for GenAI delivery in the Lakehouse
• Databricks Vector Search for RAG retrieval patterns

Key Responsibilities

• Translate business needs into ML/AI problem statements and measurable success metrics.
• Develop ML models and, where relevant, GenAI components (e.g., retrieval-augmented generation, prompt pipelines) with clear evaluation criteria.
• Run evaluation: offline metrics, error analysis, bias checks, and monitoring baselines; document decisions and assumptions.
• Communicate results and limitations clearly to technical and non-technical stakeholders; support adoption in workflows.

Qualifications

• Experience: typically, 5+ years delivering end-to-end data science projects.
• Education: Master’s or PhD in Data Science, Machine Learning, Statistics, Computer Science, Applied Mathematics, or related quantitative field (required from this level onward).
• Core stack: Python, Spark, Git; ML frameworks; Databricks/MLflow (or equivalent); cloud basics.

Requirements: