AI/ML Engineer

Region: LATAM, EMEA, and APAC

Country: Poland, Croatia, Costa Rica, Argentina, Colombia, Mexico, Brazil, Malaysia, India, Indonesia, Philippines, and Portugal

Type: Fully remote

What's the Project?

Newfire Global Partners is a leading technology firm that specializes in building transformative software solutions for some of the world’s most innovative companies. With a presence across four continents, Newfire Global brings deep expertise in digital healthcare, AI-driven analytics, and enterprise technology. The firm’s track record of delivering scalable, high-impact solutions has made it a trusted partner for organizations seeking to drive meaningful change through technology.

We are passionate about the purpose-driven mission to help improve the quality of care for patients and are building a collaborative, innovative, and inclusive culture. We are a fully funded company founded by serial entrepreneurs with a stable client base.

Opportunity for impact

Newfire Global Partners, a leader in developing disruptive healthcare technology, collaborates with Fortune 500 companies and start-ups to drive transformation.

The AI/ML Engineer designs and builds experimental systems to evaluate emerging AI technologies and guide foundational technical decisions at Exact Sciences. This position will apply machine learning engineering, software prototyping, and modern AI integration techniques to assess frameworks, tools, and patterns in real-world contexts. The best candidate for this position will help Exact Sciences explore, test, and refine new approaches to delivering intelligent systems across the business. The ideal candidate should have experience developing ML-powered applications in cloud environments, working across the stack from model integration to deployment. The prototypes and tools developed by this team inform platform strategy and are designed to accelerate adoption through reusable, modular patterns.

You’re a perfect match if you have:

Bachelor’s degree in computer science, data science, information technology, statistics, economics, or a related STEM field.
3+ years of experience building machine learning-powered applications or tooling.
Strong proficiency in Python and familiarity with modern ML/AI libraries (e.g., PyTorch, Hugging Face, OpenAI SDKs).
Experience working with LLM orchestration or agent frameworks.
Understanding of model tuning, prompt engineering, or retrieval-augmented generation (RAG) patterns.
Experience developing and deploying applications in cloud environments (e.g., AWS, GCP, or Azure), including use of Docker and/or Kubernetes.
Demonstrated ability to independently prototype, test, and iterate on technical ideas.
Familiarity with ML evaluation techniques and structured experimentation workflows.
Proficiency with version control systems, CI/CD practices, and ML observability tools.

Your day-to-day activities:

Design and execute machine learning experiments to evaluate emerging AI technologies and frameworks.
Prototype and assess end-to-end AI solutions to inform product and platform strategy.
Formulate hypotheses and conduct structured evaluations to compare technical approaches
Apply modern ML engineering practices to build and test scalable, modular proof-of-concept systems.
Contribute to the definition of best practices for experimentation, evaluation, and technical decision-making.
Synthesize and communicate experimental results to guide investment and adoption decisions.
Translate new research ideas and tools into functional, decision-relevant demonstrations.
Operate independently while contributing to a highly collaborative team environment.
Communicate technical findings clearly and concisely to both technical and non-technical audiences.
Show initiative in solving open-ended technical challenges with creativity and rigor.
Maintain clear documentation and contribute to shared knowledge within the team.
Uphold company mission and values through accountability, innovation, integrity, quality, and teamwork.
Support and comply with the company’s Quality Management System policies and procedures.

Please note that employment will be contingent upon providing documentation verifying your legal work authorization in the country of residence, in accordance with applicable law.

Ready to dive in?

Alejandro Rodriguez
Recruiter

Mexico/General

alejandro.rodriguez@newfireglobal.com

Hiring Process

Here's what you can expect during our hiring process.

Stage 1

Applied

Stage 2

Shortlist

Stage 3

Interview

Stage 4

Review

Stage 5

Technical Interview

Stage 6

CSM Interview

Stage 7

Client Interview

Stage 8

Verbal offer

Stage 9

Offer Letter

Stage 10

Background Check

Stage 11

Hired

1 of X

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Please specify only the years of experience relevant to similar positions, not your total professional experience. What is your English proficiency level? *
At Newfire, we only hire professionals who can communicate clearly and effectively with native English speakers in meetings, emails, and chat. Your English skills will be assessed during the initial interview.Basic (A1–A2) – Can understand and use some familiar words and very basic phrases. Very limited ability to communicate. Intermediate (B1) – Can deal with some daily situations. Limited ability to communicate in English. Advanced (B2–C1) – Can interact with a degree of fluency and spontaneity in a professional environment. Able to produce clear, well-structured language on complex subjects. Fluent / Native (C2) – Can express themselves effortlessly in all types of communication, including nuanced and abstract language. Comparable to native-level proficiency.

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