Sr. Machine Learning Engineer (Python, LongChain, Postgres) – CONTRACT

VTRAC Consulting Corporation; Brasil; Teletrabalho; BRL 120.000 - 180.000; Tempo integral

Resumo da oferta

A leading consulting corporation seeks a Senior Machine Learning Engineer to enhance an AI product using RAG and LLM technologies. This remote contract role requires extensive experience in production-grade systems and strong expertise in Python, LangChain, and ML infrastructure. You will lead critical design decisions and collaborate with various teams, making a significant impact in a cutting-edge environment.

Qualificações

• 10+ years of experience in Machine Learning Engineering.
• Proficiency in Python and LangChain.
• Experience with vector-based search techniques.

Responsabilidades

• Lead the system design and implementation of ML solutions focused on RAG pipelines.
• Collaborate with cross-functional teams to support AI capabilities.
• Drive infrastructure improvements and deliver measurable impact.

Conhecimentos

Machine Learning Engineering

Python

LangChain

RAG architectures

Postgres

AWS services

Containerized deployments

Communication skills

Collaboration

Problem-solving

Formação académica

Degree in Computer Science, AI, or a related field

Ferramentas

Docker

Kubernetes

Hugging Face

AWS SageMaker

dbt

Snowflake

Descrição da oferta de emprego

VTRAC Consulting Corporation
Intelligent Solutions

Thank you for applying to VTRAC opportunities. Please e-mail your resume as an MS-WORD document in confidence Subject: Sr. Machine Learning Engineer (Python, LongChain, Postgres) – BRAZIL CONTRACT, Attention: [e-mail] or call: [phone]

Position #: 25117X
Position: Sr. Machine Learning Engineer (Python, LongChain, Postgres) – CONTRACT
Position Type: Contract
No. of Positions: 1
Location: Remote (Brazil)
Eastern Standard Time
(Must be able to start in 10 days)

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.

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