Senior Python Developer / Scientific Coding Specialist (LLM Projects)

Salve.Inno Consulting; A distancia; MXN 400,000 - 600,000; Jornada completa

Descripción de la vacante

A leading global AI research partner is seeking a Freelance contractor for a short-term project focused on developing next-generation Large Language Models (LLMs). This fully remote role requires strong Python skills and analytical problem-solving abilities, with a full-time commitment of 40 hours per week. Candidates will work on critical AI projects, requiring collaboration with global teams and the use of scientific Python libraries. Exciting opportunity for professionals eager to make a significant impact in AI.

Formación

• 4+ years of hands-on Python experience in professional, academic, or research environments.
• Experience solving non-trivial analytical, numerical, or algorithmic problems.
• Background aligned with at least one domain track: ML/Data Science or Computational [Physics/Biology/Mathematics/Chemistry].

Responsabilidades

• Build and maintain robust, scalable, full-stack applications.
• Participate in code reviews and drive improvements in code quality.
• Collaborate with global engineering teams in agile workflows.

Conocimientos

Proficiency in Python

Problem-solving ability

Analytical skills

Herramientas

NumPy

SciPy

Pandas

Scikit-learn

PyTorch

Descripción del empleo

Type: Freelance/Contract | Remote | PST overlap required

Fully remote, short-term contract role (5-8 weeks) requiring 40 hours/week with 4 hours of overlap with PST. You will work as a contractor on advanced LLM-focused AI projects for a leading global AI research partner.

About the project

This project supports the development and evaluation of next-generation Large Language Models (LLMs). You will contribute to building high-quality training and evaluation datasets by solving complex problems, writing accurate and efficient Python solutions, and validating model reasoning across scientific and engineering domains. The work is highly analytical, detail-oriented, and directly impacts how modern AI systems reason, code, and solve real-world problems.

Domain tracks

This is a single role with multiple specialization tracks. Candidates will be aligned to one primary track based on background and experience:

• Python / Machine Learning Track - Python-heavy problem solving, ML-focused coding, model-related logic and data workflows

• Scientific Coding - Physics (Computational Physics)

• Scientific Coding - Biology (Computational Biology / Bioinformatics)

• Scientific Coding - Mathematics (Computational / Applied Mathematics)

• Scientific Coding - Chemistry (Computational Chemistry)

Key Responsibilities

• Build and maintain robust, scalable, full-stack applications

• Take part in designing system architecture and engineering best practices

• Write clean, maintainable, testable code

• Collaborate with global engineering teams in agile workflows

• Participate in code reviews and drive improvements in code quality

Requirements

• Strong proficiency in Python with proven problem-solving ability

• 4+ years of hands-on Python experience in professional, academic, or research environments

• Experience solving non-trivial analytical, numerical, or algorithmic problems

• Ability to clearly explain logic and document solutions

• Availability for full-time commitment (40 hrs/week) with 4-hour PST overlap

• Ability to start immediately or within 1 week

• Background aligned with at least one domain track:
  ML / Data Science / Software Engineering or
  Computational Physics, Biology/Bioinformatics, Mathematics, or Chemistry

Nice to have (not mandatory)

• Machine learning or model deployment experience

• Prior work on AI/LLM-related projects

• Peer-reviewed publications (for scientific tracks)

• Experience with scientific Python libraries (NumPy, SciPy, Pandas, scikit-learn, PyTorch, etc.)

Why Join?

• Engagement type: Contractor / Freelancer (no medical or paid leave)

• Duration: 5 to 8 weeks (with potential extension based on performance)

• Commitment: Full-time, 8 hours/day

• Compensation: Hourly (details shared later in the process)

If you meet the criteria and are excited to take on impactful work with flexible hours, we’d love to hear from you, apply now to be considered for this opportunity.