LLM - Machine Learning

Role Overview:

We are looking for an experienced Machine Learning Engineer with deep hands-on expertise in JAX and a solid understanding of TensorFlow. In this role, you will lead the migration of TensorFlow models and training pipelines to JAX while ensuring model fidelity and performance remain consistent. You will also design tools and frameworks to support seamless future framework transitions.

This is a high-impact engineering role focused on low-level model internals, performance benchmarking, and framework interoperability.

What does day-to-day look like:

Translating production-grade machine learning models from TensorFlow to JAX

Designing and executing robust evaluation pipelines to ensure model fidelity post-migration

Developing tools and scripts to automate framework translation and validation

Collaborating with research and product teams to align performance metrics and validation needs

Conducting performance benchmarking and profiling to ensure optimal model efficiency

Building reproducible ML workflows and ensuring version-controlled development

Requirements:

Proven experience with JAX and NumPy in real-world ML projects

Strong understanding of TensorFlow, including internals and model structure

Experience with migrating models between frameworks and ensuring parity

Solid grasp of ML training workflows, loop mechanics, and evaluation metrics

Strong Python programming skills and clean, modular code practices

Familiarity with ML experiment tracking and reproducibility tools (e.g., MLFlow, Weights & Biases)

[Bonus] Preferred Qualifications:

Experience with other ML libraries (e.g., PyTorch, Flax)

Background in ML research or scientific computing

Experience with production model monitoring and governance

Perks of Freelancing With Turing:

Work in a fully remote environment

Opportunity to work on cutting-edge AI projects with leading LLM companies

Offer Details:

Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST

Employment type: Contractor assignment (no medical/paid leave)

Duration of contract: 2 months; [expected start date is next week]

Location: India, Pakistan, Nigeria, Kenya, Egypt, Ghana, Bangladesh, Turkey, Mexico

Evaluation Process (approximately 75 mins):

Mandatory Skills:-

Machine Learning - 5 yrs OR Python - 5 yrs,

PyTorch - 2 yrs,

JAX - 1 yr,

Numpy - 1 yr

This is a short term remote contract opportunity that requires working at least 4 hours in the US Pacific Time Zone. If this role suits you, please email your resume to admin@amrapaliservices.in. kindly mention your current CTC, expected CTC and Notice Period in your email.