Senior Machine Learning Engineer

arrow

New York City / $200000 - $220000 annum

INFO

Salary
SALARY:

$200000 - $220000

Location

LOCATION

New York City

Job Type
JOB TYPE

Permanent

Senior Machine Learning Engineer

$200,000-$220,000

New York Metro Area - Hybrid

We are collaborating with a fast-moving start up focused on developing AI-powered solutions for cloud optimization and automation. Their technology enhances cost forecasting, financial modelling, and multicloud infrastructure management. As they scale, they are looking for top talent to drive innovation and build AI systems that make an impact.

THE ROLE

Seeking a Senior Machine Learning Engineer to play a key role in developing and deploying AI solutions. This is a hands-on, senior-level position for someone with experience building ML-powered products from the ground up. The ideal candidate will work closely with leadership to shape an AI assistant, optimize cloud resources, and implement cutting-edge machine learning techniques.

RESPONSIBILITIES

  • Design, build, and deploy machine learning models for cloud automation and optimization
  • Work with large language models (LLMs), fine-tuning and integrating them into the platform
  • Develop AI-driven, customer-facing solutions to enhance automation and efficiency
  • Ensure secure and compliant AI deployments, implementing best practices for AI infrastructure
  • Maintain and optimize ML infrastructure across AWS, GCP, and Azure
  • Experiment with advanced ML techniques, including model security, evaluation frameworks, and continuous monitoring
  • Collaborate with engineering, product, and leadership teams to align AI development with business objectives
  • Provide strategic input on AI capabilities and contribute to the company's overall AI roadmap

YOUR BACKGROUND

  • 6+ years of experience
  • Strong Python programming skills; experience with Go or SQL is a plus
  • Expertise in ML frameworks such as PyTorch, Hugging Face, LangChain, and Llama
  • Experience deploying ML models at scale in cloud environments
  • Proficiency with Terraform and Git for infrastructure management and version control
  • Deep understanding of AI security risks and best practices for secure deployment
  • Ability to work in a fast-paced startup environment and take projects from 0 to 1
  • Strong analytical background with the ability to interpret complex cost and financial modeling data
  • Excellent communication skills, capable of clearly conveying methodologies, solutions, and results to technical and non-technical stakeholders

HOW TO APPLY

If you believe you are a good fit given the above qualifications, send your resume to Grace via the link below.

KEYWORDS

Machine Learning, AI, LLMs, Cloud Optimization, AWS, GCP, Azure, AI Security, ML Infrastructure, AI Chatbots, Terraform, PyTorch, Hugging Face, LangChain, Financial Modeling, Cloud Automation, Startup, Tech Hiring, Data Science, Model Deployment, AI Strategy

CONTACT

SIMILAR
JOB RESULTS

4k-Harnham_DA copy
CAN’T FIND THE RIGHT OPPORTUNITY?

STILL
LOOKING?

If you can’t see what you’re looking for right now, send us your CV anyway – we’re always getting fresh new roles through the door.