MLOps Engineer

Exadel Inc; Brasil; Presencial; BRL 80.000 - 120.000; Tempo integral

Resumo da oferta

A leading company is seeking a forward-thinking MLOps Engineer to shape the future of machine learning. You'll be responsible for driving innovation and developing cutting-edge solutions across high-impact projects. Ideal candidates will have extensive experience in data science, ML algorithms, and frameworks like TensorFlow and PyTorch. Join us to redefine the boundaries of AI-driven solutions and maximize business effectiveness.

Qualificações

• 6+ years of hands-on experience in Data Science and Machine Learning.
• Proven track record of launching ML projects from scratch.
• Competency in Machine Learning algorithms and MLOps pipelines.

Responsabilidades

• Dive deep into business goals to understand what drives success.
• Own the full lifecycle of your models: development, deployment, maintenance.
• Lead research and continuous improvement efforts in data science.

Conhecimentos

Data Science

Machine Learning

MLOps

Generative AI

Prompt Engineering

Python

Pandas

Scikit-learn

Matplotlib

SQL

PyTorch

TensorFlow

Formação académica

BS or MS in Computer Science

Ferramentas

AWS

Azure

Docker

Postgres

Descrição da oferta de emprego

We’re on the hunt for a MLOps Engineerto take the lead in shaping the future of machine learning at Exadel. As part of an embedded team, you’ll be pivotal in driving innovation and developing cutting-edge machine-learning solutions across multiple high-impact projects.

Your expertise will add value and be the driving force behind key company initiatives, helping us push boundaries and achieve new levels of success. We want to hear from you if you’re a passionate, forward-thinking professional ready to take on this rare and rewarding opportunity.

Work at Exadel - Who We Are

We don’t just follow trends—we help define them. For 25+ years, Exadel has transformed global enterprises. Now, we’re leading the charge in AI-driven solutions that scale with impact. And it’s our people who make it happen—driven, collaborative, and always learning.

Requirements

• 6+ years of hands-on experience in Data Science and Machine Learning
• A proven track record of launching ML projects from scratch: from problem analysis and data collection to PoC and deployment to production
• Competency in Machine Learning algorithms, their limitations, and use cases
• Knowledge of setting up MLOps pipelines and frameworks
• Skills in Generative AI, Multi-Agent systems, and Prompt Engineering
• Confidence working with Python, Pandas, Scikit-learn, Matplotlib, SQL
• Expertise in ML/DL frameworks such as PyTorch and TensorFlow
• A sharp-minded person who can dive into the business domain and emerge with ideas on how to use data to make the business more effective

Nice to Have

• BS or MS in Computer Science or related field
• Hands-on familiarity with microservices, task queues like Celery, cloud platforms (AWS or Azure), Docker, basic OS and networking concepts, and database systems like Postgres
• Kaggle or GitHub portfolio showcasing real-world projects and your technical strengths

Upper-Intermediate

Responsibilities

• Dive deep into business goals to understand what drives success
• Bring fresh ideas to the table and turn them into real-world impact for our clients and teams
• Own the full lifecycle of your models: from development and deployment to maintenance and monitoring
• Lead research and continuous improvement efforts, pushing for more innovative, faster, better solutions
• Collaborate closely with the team, sharing insights, approaches, and inspiration
• Stay ahead of the curve by exploring the latest breakthroughs in applied data science

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