Machine Learning Engineer

Hexanixone; Ahmedabad District; Hybrid; INR 1,500,000 - 2,500,000; Full time

Benefits offered by this job

Competitive compensation package

Hybrid work model with flexible hours

Microsoft certifications fully sponsored

Job summary

Hexanixone is seeking an AI/ML professional to develop state-of-the-art machine learning solutions for enterprise clients in Ahmedabad. Candidates should have a robust background in ML engineering, with at least 4 years of experience, especially in fine-tuning LLMs and utilizing ML frameworks like TensorFlow and PyTorch.

This role offers a competitive compensation package and features a hybrid work model with flexible hours, allowing employees to balance their professional and personal commitments effectively.

Qualifications

• 4+ years of ML engineering experience.
• Strong Python skills and ML frameworks (TensorFlow, PyTorch).
• Experience with LLMs (GPT-4, Claude, Llama) and fine-tuning.
• Knowledge of MLOps tools and practices.
• Solid understanding of statistics and ML algorithms.
• Experience deploying models to production at scale.
• Strong software engineering fundamentals.

Responsibilities

• Design and implement ML models for various use cases.
• Fine-tune and deploy LLMs for enterprise applications.
• Build MLOps pipelines for model training and deployment.
• Optimize model performance and reduce inference latency.
• Collaborate with product teams to translate requirements into ML solutions.
• Monitor model performance and implement retraining strategies.
• Research and evaluate new ML techniques and frameworks.
• Contribute to ML infrastructure and tooling development.

Skills

Machine Learning Engineering

Python

TensorFlow

PyTorch

LLM fine-tuning

MLOps tools

Statistics

Machine Learning Algorithms

Education

MS or BS in Computer Science, ML, or related field

Tools

AWS SageMaker

Azure ML

Job description

AI & ML Ahmedabad / Remote Full-time as per the market standards

About the Role

Join our AI/ML team to build and deploy state-of-the-art machine learning systems for enterprise clients. You'll work on diverse projects ranging from LLM fine-tuning to computer vision applications, collaborating with cross-functional teams to deliver impactful AI solutions at scale.

Key Responsibilities

• Design and implement ML models for various use cases
• Fine-tune and deploy LLMs for enterprise applications
• Build MLOps pipelines for model training and deployment
• Optimize model performance and reduce inference latency
• Collaborate with product teams to translate requirements into ML solutions
• Monitor model performance and implement retraining strategies
• Research and evaluate new ML techniques and frameworks
• Contribute to ML infrastructure and tooling development

Required Qualifications

• 4+ years of ML engineering experience
• Strong Python skills and ML frameworks (TensorFlow, PyTorch)
• Experience with LLMs (GPT-4, Claude, Llama) and fine-tuning
• Knowledge of MLOps tools and practices
• Solid understanding of statistics and ML algorithms
• Experience deploying models to production at scale
• Strong software engineering fundamentals
• MS or BS in Computer Science, ML, or related field

Nice to Have

• PhD in Computer Science, ML, or related field
• Experience with AWS SageMaker or Azure ML
• Published research or contributions to ML frameworks
• Experience with computer vision or NLP
• Knowledge of distributed training and optimization
• Background in deep learning and neural architecture search

What We Offer

Competitive compensation package

Hybrid work model with flexible hours

Microsoft certifications fully sponsored