Senior Machine Learning (Gen AI) Engineer
Description For Senior Machine Learning (Gen AI) Engineer
Accellor is a trusted consulting partner specializing in Cloud technology solutions for Financial, Retail, High Tech, and Healthcare verticals. They are seeking a Senior Machine Learning Engineer focused on Generative AI to join their team. The role involves developing cutting-edge AI applications, particularly working with Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG).
The position requires 5+ years of experience, with at least 2 years specifically in Generative AI. The ideal candidate will have strong Python skills and experience with tools like Databricks, PySpark, and Airflow. They'll work on scaling machine learning systems and building innovative applications that bring advanced machine learning to life.
The company offers a collaborative environment that encourages curiosity and constant learning. They provide comprehensive benefits including medical insurance, professional development opportunities, and flexible work arrangements. The role is based in Hyderabad, India, with working hours aligned to GMT (2 PM to 11 PM IST).
This is an excellent opportunity for an experienced ML engineer looking to work on impactful projects with global brands while developing cutting-edge AI solutions. The position offers both technical challenges and professional growth opportunities in a supportive environment that values work-life balance and continuous learning.
Responsibilities For Senior Machine Learning (Gen AI) Engineer
- Building, deploying, and scaling machine learning models and applications, especially in Generative AI
- Developing end-to-end applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and NLP techniques
- Working with Python, Databricks, Langchain, PySpark, Airflow, Jenkins, and AWS
- Collaborating with analytics and data teams and business stakeholders
- Contributing both independently and in team settings
Requirements For Senior Machine Learning (Gen AI) Engineer
- 5+ years of total experience, with minimum 2 years in Generative AI
- Strong software engineering skills in Python
- Experience with Databricks, PySpark, and Airflow
- Familiarity with LLMs, RAG, Langchain, and AI applications
- Proficiency in AWS and cloud platform deployment
- Solid understanding of database schema design and querying
- Bachelor's degree in computer science
- Ability to work GMT Hours: 2 PM till 11 PM IST
Benefits For Senior Machine Learning (Gen AI) Engineer
- Work on exciting projects with global brands
- Collaborative environment with diverse team
- Flexible work schedules
- Professional development and training programs
- Competitive salaries
- Family medical insurance
- Personal Accident Insurance
- Periodic health awareness program
- Extended maternity leave
- Annual performance bonuses
- Referral bonus
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