GenAI Developer

Virtusa; Chennai District; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

Virtusa in Chennai/Hyderabad is seeking a GenAI Developer with 6+ years of experience to lead development, fine-tuning, and integration of AI models into production applications. You will build data pipelines, APIs, and microservices, and contribute to code quality with tests.

The role requires strong Python and C++ skills, experience with Generative AI, and familiarity with cloud and container technologies. Working hours are 2PM–11PM with five days on-site in India.

Qualifications

• Experience in Generative AI technologies.
• Proficiency in Python and C++.
• Expertise in ML model development and integration.
• Experience building and optimizing data pipelines.
• Knowledge of API and microservices architecture.

Responsibilities

• Develop, fine-tune, and integrate ML models and neural networks into production-ready applications.
• Build and optimize data pipelines for data collection, cleaning, and tokenization for training and inference datasets.
• Create robust APIs and microservices to connect AI capabilities with front-end and back-end systems.
• Write clean, maintainable Python and C++ code with unit tests for AI model logic and software components.
• Collaborate with cross-functional teams to understand requirements and deliver high-quality solutions.
• Stay updated with the latest advances in AI and ML technologies.

Skills

GenAI

Python

C++

ML model development

Data pipelines

APIs & microservices

Education

Bachelor's/Master's in CS/DS

Tools

Docker

Kubernetes

AWS/Azure/GCP

Job description

Role: GenAI Developer
Experience: 6+ years
Work Mode: All 5 days WFO
Work Timings: 2PM to 11PM
Location: Chennai & Hyderabad
Primary Skills: GenAI

Job Summary

We are seeking a highly skilled Senior Machine Learning Consultant with extensive experience in developing, fine-tuning, and integrating machine learning models, including large language models (LLMs) and neural networks, into production-ready software applications. The ideal candidate will also have a strong background in building and optimizing data pipelines, creating robust APIs, and ensuring code quality through effective testing practices.

Responsibilities

• Develop, fine-tune, and integrate machine learning models and neural networks into production-ready applications.
• Build and optimize data pipelines for data collection, cleaning, and tokenization to prepare clean training and inference datasets.
• Create robust APIs and microservices to connect AI capabilities with front-end applications and backend databases.
• Write clean, maintainable, and efficient code in Python and C++, implementing unit tests for AI model logic and software components.
• Collaborate with cross-functional teams to understand requirements and deliver high-quality solutions.
• Stay updated with the latest advancements in AI and machine learning technologies.

Mandatory Skills

• Proven experience in Generative AI technologies.
• Strong proficiency in Python and C++ programming languages.
• Expertise in machine learning model development and integration.
• Experience in building and optimizing data pipelines.
• Knowledge of API and microservices architecture.

Preferred Skills

• Familiarity with cloud platforms (AWS, Azure, GCP).
• Experience with containerization technologies (Docker, Kubernetes).
• Understanding of software development best practices and methodologies.

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
• 10-15 years of relevant experience in machine learning and software development.