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Urgent! Altysys - Generative AI Lead - Python Job Opening In Bengaluru – Now Hiring Altysys

Altysys Generative AI Lead Python



Job description

<p><p><b>Position : </b> GenAI Lead/Architect<br/><br/><b>Experience : </b> 5+ Years<br/><br/><b>Job Summary : </b><br/><br/>We are seeking a seasoned GenAI Lead/Architect with a minimum of 5+ years of professional experience.

The ideal candidate will be a hands-on leader, responsible for designing and building scalable, production-grade Generative AI applications.

This role requires deep expertise in Python and FastAPI for backend development, coupled with a strong command of AWS cloud services to deploy and manage robust and resilient AI systems.

You will play a crucial role in shaping our GenAI strategy, from architectural design to implementation.<br/><br/><b>Key Responsibilities : </b><br/><br/><b>- Architectural Design & Strategy : </b> Lead the design and implementation of end-to-end GenAI system architectures.

You will be responsible for creating scalable, secure, and cost-effective solutions that leverage both proprietary and open-source models.<br/><br/><b>- Application Development : </b> Build and deploy scalable Generative AI applications using Python and the FastAPI framework.

This includes developing high-performance RESTful APIs and microservices for seamless integration.<br/><br/><b>- Model Integration & Optimization : </b> Select, integrate, and fine-tune various GenAI models (LLMs, Vision models, etc.) into new and existing applications.

You will be responsible for optimizing model performance and managing inference costs.<br/><br/><b>- Cloud Infrastructure Management : </b> Utilize AWS cloud services to deploy, manage, and scale GenAI applications.

This includes configuring services for data pipelines, model hosting, and application security.<br/><br/><b>- Team Leadership : </b> Act as a technical leader, guiding junior developers, conducting thorough code reviews, and establishing best practices for development, testing, and deployment.<br/><br/><b>Required Skills & Qualifications : </b><br/><br/>- A minimum of 5+ years of experience in software development or machine learning engineering.<br/><br/>- Proven experience in designing and building scalable applications with Python.<br/><br/>- Strong expertise with the FastAPI framework for building robust APIs.<br/><br/>- Hands-on experience with AWS cloud services for deploying and managing applications.<br/><br/>- A solid understanding of Generative AI principles and a strong background in working with Large Language Models (LLMs).<br/><br/>- Experience with building and deploying applications in a production environment.<br/><br/><b>Preferred Skills : </b><br/><br/>- Experience with LLM frameworks such as LangChain or LlamaIndex.<br/><br/>- Knowledge of specific AWS AI/ML services like Amazon SageMaker, Amazon Bedrock, or Amazon EKS for containerized workloads.<br/><br/>- Familiarity with containerization technologies like Docker and orchestration with Kubernetes.<br/><br/>- Experience with other cloud platforms like Azure or GCP.<br/><br/>- A background in machine learning operations (MLOps).</p><br/></p> (ref:hirist.tech)


Required Skill Profession

Computer Occupations



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