Artificial Intelligence Developer

Infosys; Pune District; Hybrid; INR 1,200,000 - 2,400,000; Full time

Job summary

Infosys is seeking a highly motivated AI/ML Engineer to design, develop, and deploy ML models and AI solutions. You will collaborate with data scientists, software engineers, and business stakeholders to build scalable AI systems delivering business value.

Responsibilities span model design, end-to-end ML pipelines, data preparation, and deployment on cloud platforms with ML Ops practices. You will explore Generative AI, NLP, CV, and RAG techniques while upholding data security and governance

Qualifications

• Bachelor's or Master's degree in computer science, Artificial Intelligence, Data Science, or a related field.
• 2+ years of experience in Machine Learning/AI development.
• Experience delivering AI/ML solutions in production environments.

Responsibilities

• Design, develop, train, and optimize machine learning and deep learning models.
• Build and maintain end-to-end ML pipelines for data ingestion, model training, validation, and deployment.
• Work with large datasets to perform data cleaning, feature engineering, and exploratory analysis.
• Deploy AI/ML models into production using cloud platforms and ML Ops practices.
• Monitor model performance and retrain models to ensure accuracy and reliability.
• Collaborate with cross-functional teams to translate business requirements into AI solutions.
• Research and implement advancements in AI, Generative AI, NLP, CV, and ML.
• Ensure adherence to data security, governance, and ethical AI standards.

Skills

Machine Learning

Deep Learning

Python

TensorFlow

PyTorch

Scikit-learn

Pandas

NumPy

ML Ops

Cloud Platforms

Azure

AWS

Google Cloud

SQL

REST APIs

NLP

Computer Vision

RAG

Spark

Databricks

Kubernetes

CI/CD

Education

Bachelor's or Master's in CS/AI/DS

Tools

MLflow

Docker

Kubernetes

CI/CD

Databricks

Job description

Job Summary

We are seeking a highly motivated AI/ML Engineer to design, develop, and deploy machine learning models and AI-powered solutions. The ideal candidate will work closely with data scientists, software engineers, and business stakeholders to build scalable AI systems that drive business value.

Key Responsibilities

• Design, develop, train, and optimize machine learning and deep learning models.
• Build and maintain end-to-end ML pipelines for data ingestion, model training, validation, and deployment.
• Work with large datasets to perform data cleaning, feature engineering, and exploratory analysis.
• Deploy AI/ML models into production using cloud platforms and ML Ops practices.
• Monitor model performance and retrain models to ensure accuracy and reliability.
• Collaborate with cross-functional teams to understand business requirements and translate them into AI solutions.
• Research and implement the latest advancements in AI, Generative AI, NLP, Computer Vision, and Machine Learning.
• Ensure adherence to data security, governance, and ethical AI standards.

Required Skills

• Strong knowledge of Machine Learning, Deep Learning, and Statistical Modeling.
• Proficiency in Python and ML libraries such as TensorFlow, PyTorch, Scikit-learn, Pandas, and NumPy.
• Experience with Generative AI, LLMs, Prompt Engineering, and Retrieval-Augmented Generation (RAG).
• Knowledge of MLOps tools such as MLflow, Docker, Kubernetes, and CI/CD pipelines.
• Experience with cloud platforms like Azure, AWS, or Google Cloud.
• Strong understanding of SQL, data modeling, and data engineering concepts.
• Familiarity with REST APIs and software development best practices.

Qualifications

• Bachelor's or master's degree in computer science, Artificial Intelligence, Data Science, or a related field.
• 2+ years of experience in Machine Learning/AI development (adjust as needed).
• Experience delivering AI/ML solutions in production environments.

Preferred Skills

• Experience with Azure AI Services, Azure OpenAI, or similar AI platforms.
• Knowledge of NLP, Computer Vision, Recommendation Systems, or Agentic AI.
• Familiarity with Spark, Databricks, and big data technologies.

Location

• Bangalore (Hybrid/Onsite/Remote)

Employment Type

• Full-time