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Sr. Machine Learning Engineer (Python, LangChain, Postgres) - CONTRACT

VTRAC Consulting Corporation (WBE)

Ontario

Remote

CAD 150,000 - 240,000

Full time

22 days ago

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Job summary

A leading consulting firm is seeking a Senior Machine Learning Engineer to enhance their AI product using cutting-edge technologies. This remote contract role involves system design, optimizing ML infrastructure, and collaborating with a cross-functional team to deliver impactful solutions. Candidates should have over 10 years of experience in ML engineering, with strong skills in Python and LangChain.

Qualifications

  • 10+ years of experience in Machine Learning Engineering.
  • Strong experience with Python and LangChain.
  • Proficiency in Postgres and familiarity with data modeling.

Responsibilities

  • Lead the system design and implementation of ML solutions.
  • Develop and iterate on the existing ML pipeline.
  • Collaborate with cross-functional teams to support AI capabilities.

Skills

Machine Learning Engineering
Python
LangChain
RAG architectures
Postgres
AWS services
Docker
Kubernetes
Communication
Problem Solving

Education

Degree in Computer Science, AI, or a related field

Tools

Hugging Face
AWS SageMaker
dbt
Snowflake

Job description

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Senior Consultant, Business Solutions @ VTRAC | Certified Diversity Co.

VTRAC Consulting Corporation

Thank you for applying to VTRAC opportunities. Please e-mail your resume as an MS-WORD document in confidence with the subject: Sr. Machine Learning Engineer (Python, LongChain, Postgres) CONTRACT, attention: mask@vtrac.com or call: (647) 254-0770

Position #: 25117X

Position Type: Contract

No. of Positions: 1

Location: Remote

Description:

This is an exciting opportunity for a highly experienced Machine Learning Engineer to enhance a cutting-edge AI product using RAG and LLM technologies. You will focus on production-grade system design, integrating new use cases, optimizing ML infrastructure, and leading the delivery of at least one new use case within our NLQ product. The role involves collaborating with a cross-functional team of engineers and product owners. This is a remote contract opportunity with strong potential for long-term extension.

Key Responsibilities:

  • Lead the system design and implementation of ML solutions focused on RAG pipelines, LLMs, and production-grade infrastructure.
  • Develop and iterate on the existing ML pipeline, including containerized services deployed via Docker and Kubernetes.
  • Design and integrate new use cases for the NLQ product by working with data pipelines and enhancing prompt engineering.
  • Collaborate with cross-functional teams to support AI capabilities embedded in real-world applications.
  • Drive infrastructure improvements and build new ML components from scratch where necessary.
  • Influence architecture decisions, enforce MLOps standards, and promote ethical and compliant AI practices.
  • Deliver measurable impact by leading the launch of at least one new use case within the first two months.

Qualifications:

  • 10+ years of experience in Machine Learning Engineering, with a strong emphasis on production-grade systems.
  • 10 years of experience in Python and LangChain (must-have).
  • Strong experience with vector-based search techniques and RAG architectures.
  • Proficiency in Postgres and familiarity with data modeling for real-time ML applications.
  • Experience with AWS services and containerized deployments (Docker, Kubernetes).
  • Familiarity with tools such as Hugging Face, AWS SageMaker, dbt, and Snowflake (nice-to-have).
  • Exposure to CRMs or ERMs is a plus.
  • Ability to work on infrastructure as well as model-driven workflows.
  • Excellent communication, collaboration, and problem-solving skills.
  • Degree in Computer Science, AI, or a related field.

We thank all candidates in advance. Only selected candidates for interviews will be contacted. For other exciting opportunities, please visit us at www.vtrac.com. VTRAC is an equal-opportunity employer.

Seniority level
  • Mid-Senior level
Employment type
  • Contract
Job function
  • Design and Engineering
Industries
  • Software Development and IT Services and IT Consulting

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