Large language model

Anlage Infotech; Pune District, Bengaluru, Hyderabad; On-site; INR 1,500,000 - 2,700,000; Full time

Job summary

Anlage Infotech in India is seeking a seasoned AI/ML Engineer to design and implement production-ready GenAI solutions leveraging cloud AI services. You will work across modules, integrating LLMs, deep learning, and NLP to solve business problems.

The role requires strong hands-on experience with Generative AI, TensorFlow/PyTorch, and cloud platforms, with a focus on scalable, incident-ready deployments.

Qualifications

• Must have 6-12 years of experience in AI/ML engineering.
• Experience developing GenAI solutions and integrating cloud AI services.
• Strong understanding of large language models and NLP techniques.
• Ability to design scalable AI solutions with production-grade pipelines.

Responsibilities

• Act as SME for GenAI initiatives across multiple teams.
• Develop and deploy AI/ML solutions using cloud AI services.
• Collaborate with cross-functional teams to integrate AI models into business workflows.
• Monitor and optimize AI models for performance and reliability.
• Lead knowledge sharing and provide training on AI best practices.

Skills

Generative AI

Large Language Models (LLMs)

Cloud platforms

TensorFlow

PyTorch

NLP techniques

Production-ready AI solutions

AI model deployment

Education

15 years full time education

Tools

TensorFlow

PyTorch

Job description

Exp - 6-12Yrs

Skill - Gen AI Engineer

Location - Pan India

Description : Act as software detectives, provide a dynamic service identifying and solving issues within multiple components of critical business systems.

Must have skills : Generative AI

Project Role : AI / ML Engineer

Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.

Must have skills : Large Language Models (LLMs)

Minimum 5 year(s) of experience is required

Educational Qualification : 15 years full time education

Summary

As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, and may also explore deep learning, neural networks, chatbots, and image processing technologies. Collaboration with cross-functional teams will be essential to integrate these solutions effectively into existing systems and workflows.

Roles & Responsibilities

• Expected to be an SME.
• Collaborate and manage the team to perform.
• Responsible for team decisions.
• Engage with multiple teams and contribute on key decisions.
• Provide solutions to problems for their immediate team and across multiple teams.
• Facilitate knowledge sharing and training sessions to enhance team capabilities.
• Monitor project progress and ensure alignment with strategic goals.

Professional & Technical Skills

• Must To Have Skills: Proficiency in Large Language Models.
• Strong understanding of cloud computing platforms and services.
• Experience with deep learning frameworks such as TensorFlow or PyTorch.
• Familiarity with natural language processing techniques and tools.
• Ability to design and implement scalable AI solutions.
• f experience is required

Educational Qualification : 15 years full time education

Professional & Technical Skills

• Must To Have Skills: Proficiency in Generative AI.
• Experience with natural language processing techniques and machine learning model deployment.
• Strong analytical skills to diagnose complex system issues and develop effective solutions.
• Familiarity with cloud platforms and infrastructure supporting AI applications.
• Ability to work with large datasets and optimize AI model performance.
• Knowledge of software development lifecycle and incident management processes.