AI/ML Software Engineer Opportunity

teamstation company

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AI/ML Software Engineer in MEXICO

Remote 7 months ago
Job Description


At TeamStation AI, we are on a mission to bring together the brightest minds to solve tomorrow’s toughest technology challenges. Our work is about more than just AI—it’s about building the future through collaboration and innovation. We believe that the key to solving the world’s most complex problems lies in aligning diverse talents and perspectives. Our AI-powered platform enables cutting-edge scientific and technical teams to work smarter, faster, and together. By joining us, you’ll help unlock new technological breakthroughs and drive innovation where it matters most.

Join the Mission at TeamStation AI!

Where do we come from? We are seeking visionaries, innovators, and problem solvers who thrive in fast-paced, collaborative environments. If you’re passionate about AI, technology, and solving critical challenges, we want to hear from you. Come be part of a team where your ideas can drive the future.


🚀 AI/ML Software Engineer – Build the Future of AI at Scale!👋 Hey, AI Innovator!

Are you the kind of engineer who wakes up thinking about fine-tuning models, optimizing AI pipelines, and making machines "think" smarter? Do you have an obsession with Python, an affinity for cloud-based architectures, and a passion for pushing AI boundaries? Then, you might just be the engineer we’re looking for.

At TeamStation AI, we build cutting-edge AI-driven solutions that revolutionize industries. We’re seeking a brilliant AI/ML Software Engineer to help design, develop, and architect intelligent services that drive automation, decision-making, and seamless integration.

Sound like your kind of challenge? Keep reading. 🚀

🎯 Your Mission (aka What You’ll Do)🏗 AI Engineering & Development
  • Design, develop, and architect scalable AI/ML services for enterprise applications.
  • Build automated data pipelines for data curation, annotation, storage, and retrieval to support model training.
  • Fine-tune AI models and deploy them in production environments (because "Hello, World!" isn't enough).
  • Experiment with emerging AI frameworks and integrate them into scalable architectures.
Cutting-Edge R&D & Problem Solving
  • Work on groundbreaking AI research & development initiatives.
  • Collaborate with cross-functional teams to integrate AI solutions into business workflows.
  • Contribute to optimizing AI-driven media applications for image, text, audio, and video classification.
  • Think outside the box to create scalable, fault-tolerant, and elegant solutions.
🛠 Deployment & AI Operations (You Build It, You Own It!)
  • Train, validate, and deploy AI/ML models into real-world production systems.
  • Optimize AI workloads in cloud environments (AWS, NVIDIA AI, etc.).
  • Improve AI observability, performance, and scalability to maintain uptime and reliability.
What You Bring (aka Your Superpowers)🧠 Must-Have Skills (Non-Negotiables)

3+ years of hands-on Python experience 🐍

4+ years of hands-on cloud-based AI/ML experience (AWS-focused)

4+ years working with machine learning, deep learning, LLMs, and foundational models

Experience building AI pipelines for data curation, annotation, and storage

Hands-on experience fine-tuning AI models and deploying them at scale

🌟 Nice-to-Haves (Bonus Points for These!)

✔ Experience with NVIDIA Enterprise AI Solutions, AWS SageMaker, AWS Bedrock, AWS Clean Rooms, or Data Lakes

✔ Experience fine-tuning image, text, audio, and video classification models

✔ Familiarity with media & entertainment industry file formats (IMF, Protools, MXF, 3D, etc.)

🔗 The Tech Stack You’ll Be Working With

📌 Languages & Frameworks:

  • Python – Your AI/ML best friend 🐍
  • TensorFlow & PyTorch – For building and training deep learning models 🧠
  • scikit-learn – Traditional ML models made easy
  • Hugging Face – LLMs, NLP models, and AI magic

📌 Cloud & Deployment:

  • AWS – Where your AI will live ☁️
  • AWS SageMaker – Build, train, and deploy models faster
  • AWS Bedrock – Deploy generative AI models with ease
  • Docker & Kubernetes – For containerized AI services

📌 Big Data & Storage:

  • Apache Spark – When data moves at scale
  • Delta Lake – A modern storage layer for big data
  • Apache Kafka – Streaming data for real-time AI inference

📌 DevOps & MLOps:

  • MLflow – Tracking and managing your AI experiments
  • GitHub – Because version control matters
🌍 Why Join Us?

🔥 Work on AI that actually makes an impact – Build & deploy real-world AI solutions 🚀

🌍 Remote-First Culture – Work from anywhere while collaborating with the best minds in AI

📈 Scalability & Career Growth – Be part of a fast-growing AI team with room to lead & innovate

🤖 AI-Obsessed Team – Collaborate with a passionate AI-first team pushing the boundaries of technology

🎯 Join Your Next Mission – Apply Today!

📩 Apply Now via our job board or check out our careers page for more opportunities.

🚀 Let’s build the future of AI together!

Apply now

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