Sr. Machine Learning Engineer – Gen AI

ConglomerateIT; United States; Remote; USD 120,000 - 160,000; Full time

Job summary

A leading company is seeking a Senior Machine Learning Engineer for its Generative AI team. This role involves designing and optimizing AI models, collaborating with clients, and utilizing advanced techniques to drive innovation in various industries. Ideal candidates will have extensive experience in software development and deep learning, with a strong focus on generative AI applications.

Qualifications

• 10+ years of professional experience in software development.
• Strong programming experience in at least one core language.
• Proven hands-on experience with deep learning and machine learning.

Responsibilities

• Customize large language models for various domains and modalities.
• Build and maintain high-performance, distributed training pipelines.
• Optimize AI models for AWS's custom silicon.

Skills

Python

C++

Java

Education

Masters Degree in Computer Science

Ph.D. in Computer Science

Tools

PyTorch

TensorFlow

Job description

Job Title: Senior Machine Learning Engineer – Generative AI

Location: Remote.

Employment Type: Full-Time | Senior Level | W2/1099

About Us

Conglomerate IT is a certified and a pioneer in providing premium end-to-end Global Workforce Solutions and IT Services to diverse clients across various domains. Visit us at http://www.conglomerateit.com

Our mission is to establish global cross-culture human connections that further the careers of our employees and strengthen the businesses of our clients. We are driven to use the power of our global network to connect businesses with the right people without bias. We provide Global Workforce Solutions with affability.

Job Summary

We are looking for an experienced Senior Machine Learning Engineer to join our cutting-edge Generative AI team. You will play a pivotal role in designing and optimizing large-scale AI models that drive real-world innovation across industries. This is your opportunity to work at the forefront of artificial intelligence, collaborating with top-tier clients and foundational model providers to create high-impact generative AI applications.

Key Responsibilities

1. Customize state-of-the-art large language models for various domains, languages, and modalities using techniques like continued pre-training, fine-tuning, and Reinforcement Learning with Human Feedback (RLHF).
2. Build and maintain high-performance, distributed training pipelines for large-scale LLMs using tools like DeepSpeed and Fully Sharded Data Parallel (FSDP).
3. Optimize AI models for AWS's custom silicon (Inferentia and Trainium) using the AWS Neuron SDK and low-level performance enhancements.
4. Work closely with enterprise customers and foundational model partners to understand challenges and co-develop AI solutions that align with their business needs.

Required Qualifications

• 10+ years of professional experience in software development, including experience with system architecture, design, and leadership.
• Strong programming experience in at least one core language (e.g., Python, C++, or Java).
• Proven hands-on experience with deep learning and machine learning, including training, fine-tuning, and deploying models.
• Expertise in developing or optimizing generative AI models and frameworks.

Preferred Qualifications

• Masters Degree/Ph.D. in Computer Science or a related technical field (preferred).
• Proficiency with machine learning libraries such as PyTorch or TensorFlow.
• 2+ years of experience in deploying or optimizing machine learning models in production environments.
• Familiarity with the full software development lifecycle, including code reviews, CI/CD pipelines, and testing.

ConglomerateIT is a global leader in delivering innovative IT solutions and services, with a presence in the USA, UK, Canada, and India. We focus on industry-leading expertise and products, aiming to maximize our clients' technological investments. Our Center for Excellence and Innovation keeps us ahead in a rapidly evolving technology landscape. We partner with Fortune 500 companies and leading system integrators worldwide, providing local talent on a global scale.