Ai ML Developer

Infosys; Hyderabad, Chennai District, Bengaluru; Hybrid; INR 1,500,000 - 2,500,000; Full time

Job summary

Infosys is seeking an AI/ML Developer with 5-9 years of experience to design scalable data pipelines, ETL processes, and AI/ML workloads across cloud analytics platforms. The role spans data engineering, ML engineering, and cloud-based big data solutions in a fast-paced environment.

The candidate will work on Spark/Databricks, real-time and batch processing, and collaborate with stakeholders to translate requirements into AI-driven solutions.

Qualifications

• Bachelor's degree in CS/IT/Data Science or related.
• Experience with Generative AI or LLMs is a plus.
• Solid problem-solving and analytical skills.

Responsibilities

• Design, develop, and optimize ETL/ELT pipelines for large-scale data processing.
• Build data ingestion frameworks from structured and unstructured sources.
• Develop and maintain data lakes, data warehouses, and data marts.

Skills

Python

SQL

PySpark

Scala

Education

Bachelor's degree in CS/IT/Data Science

Tools

Azure Data Factory

Informatica

Talend

SSIS

Apache Airflow

AWS Glue

Job description

Job Summary

We are seeking a skilled AI/ML Developer with 5-9 years of experience in Data Engineering, ETL Development, and Machine Learning solutions. The ideal candidate will be responsible for designing scalable data pipelines, developing ETL processes, enabling AI/ML workloads, and supporting cloud-based analytics platforms.

Key Responsibilities

Data Engineering & ETL

• Design, develop, and optimize ETL/ELT pipelines for large-scale data processing.
• Build data ingestion frameworks from multiple structured and unstructured data sources.
• Develop and maintain data lakes, data warehouses, and data marts.
• Ensure data quality, governance, and lineage across the data ecosystem.
• Automate data workflows and pipeline monitoring.

AI/ML Engineering

• Develop, train, validate, and deploy machine learning models.
• Perform feature engineering and data preparation for AI/ML use cases.
• Implement predictive analytics, forecasting, recommendation engines, and NLP solutions.
• Support MLOps practices including model versioning, monitoring, and retraining.
• Collaborate with business stakeholders to translate requirements into AI-driven solutions.

Cloud & Big Data

• Develop cloud-native data solutions on Azure, AWS, or GCP.
• Build scalable data processing solutions using Spark and Databricks.
• Implement real-time and batch processing frameworks.
• Optimize performance and cost of cloud-based data platforms.

Required Skills

Programming

• Python
• SQL
• PySpark
• Scala (Preferred)

ETL Tools

• Azure Data Factory (ADF)
• Informatica
• Talend
• SSIS
• Apache Airflow
• AWS Glue

Big Data Technologies

• Apache Spark
• Hadoop
• Hive
• Kafka
• Databricks

AI/ML Technologies

• Scikit-learn
• TensorFlow
• PyTorch
• XGBoost
• NLP
• Deep Learning

Cloud Platforms

• Azure (Preferred)
• AWS
• Google Cloud Platform (GCP)

Databases

• SQL Server
• PostgreSQL
• Oracle
• Snowflake
• MongoDB

DevOps & MLOps

• Git
• Jenkins
• Docker
• Kubernetes
• MLflow
• CI/CD Pipelines

Preferred Qualifications

• Bachelor's/master's degree in computer science, Data Science, AI/ML, Information Technology, or related field.
• Experience with Generative AI, LLMs, RAG, and Vector Databases is a plus.
• Experience in Agile/Scrum development methodology.
• Strong problem-solving and analytical skills.

Nice-to-Have Skills

• Azure Databricks
• Azure Synapse Analytics
• Azure Machine Learning
• Snowflake
• Lang Chain
• OpenAI/Azure OpenAI
• Pinecone, ChromaDB, FAISS
• GenAI application development