Lead ML Engineer

Remote • Posted 2 hours ago • Updated 2 hours ago

Contract W2

Remote

Depends on Experience

Fitment

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Skills

Amazon S3
Amazon Web Services
Articulate
Artificial Intelligence
Banking
Cloud Computing
Collaboration
Communication
Computer Science
Continuous Delivery
Continuous Integration
Deep Learning
Docker
Financial Services
GPU
Generative Artificial Intelligence (AI)
GitHub
Good Clinical Practice
Google Cloud Platform
Kubernetes
LangChain
Large Language Models (LLMs)
Leadership
Machine Learning (ML)
Management
Microsoft Azure
Natural Language Processing
Offshoring
Optimization
Payments
Project Coordination
Project Scoping
Prompt Engineering
PyTorch
Python
Research
SAFE
Sage
Testing
Vector Databases
Specification Gathering
Stakeholder Engagement
Stakeholder Management
TensorFlow

Summary

Lead ML Engineer

Job Description

We are seeking a highly skilled and communicative Machine Learning Engineer (8+ years of experience) to join our AI team.

In this role, you will bridge the gap between cutting-edge AI research and practical, user-facing applications.

You will be responsible for designing, building, and deploying Generative AI models (LLMs, Diffusion Models) to solve complex business problems, while effectively communicating technical advancements to non-technical stakeholders.

The ideal candidate is both a hands-on coder passionate about ML, Gen AI and a proactive collaborator who excels at explaining complex AI concepts to diverse teams.

Roles & Responsibilities

Key Responsibilities

GenAI Development: Architect, fine-tune, and deploy Large Language Models (LLMs) and Generative AI techniques (e.g., RAG, PEFT/SFT) to improve business applications.
Production Deployment: Build and maintain high-performance, scalable ML pipelines and GPU-based inference systems in cloud environments (AWS/Google Cloud Platform/Azure).
Collaboration & Communication: Work closely with product managers, data scientists, and engineers to translate business requirements into technical specifications.
Stakeholder Engagement: Clearly present AI methodologies, performance results, and technical trade-offs to non-technical stakeholders and leadership.
Model Optimization: Implement prompt engineering, adversarial testing, and model optimization strategies to ensure high-quality, efficient, and safe outputs.
Stay Updated: Actively keep up with the latest advancements in GenAI research and incorporate them into our production systems.
Team and project Coordination: Define project scope, timelines, deliverables, success metrics, co-ordinate with and guide offshore technical team on project deliverables.

Required Skills & Qualifications

Experience: 10+ years of experience as an ML Engineer, with at least 1-2 years dedicated to Generative AI or NLP projects, and good experience on AWS cloud platform.
Technical Expertise: Strong proficiency in Python, and IDEs such as Cursor/AWS Kiro, deep learning frameworks (PyTorch or TensorFlow or), utilizing GitHub co-pilot etc.
GenAI Proficiency: Hands-on experience with LLMs (e.g., GPT-4, Llama), RAG architectures, LangChain, Vector Databases, Knowledge graphs, and Agentic AI
MLOps and LLM Ops: Familiarity with Docker, Kubernetes, and CI/CD tools for ML.
AWS Skills: S3, Lambda, Glue, AWS Sage maker, and AWS Bedrock platform
Communication Skills: Excellent verbal and written communication skills; ability to articulate complex technical concepts simply.
Stakeholder Management: Able to collaborate with key business/client stakeholders and manage their expectations
Problem-Solving: Proven ability to work independently in a fast-paced environment and troubleshoot issues.

Preferred Qualifications

Engineering degree in computer science or equivalent, and relevant certification in Machine learning
Experience in banking or financial services domain Payments industry.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91021502
Position Id: 8875962
Posted 2 hours ago

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Lead ML Engineer

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