Machine Learning Engineer

Talemexa; San Francisco (CA); On-site; USD 120,000 - 170,000; Full time

Job summary

Talemexa Private Limited is seeking a Machine Learning Engineer to build, deploy, and maintain production-grade ML systems. You will work across the ML lifecycle—from data prep and experimentation to model deployment and monitoring, with a focus on responsible AI practices.

The role involves collaborating with data scientists, infra engineers, and product teams to improve inference performance and scalability in production environments. 3–6 years experience and strong Python/SQL are required.

Qualifications

• 3–6 years of experience in machine learning engineering.
• Strong proficiency in Python and SQL.
• Experience with PyTorch, TensorFlow, or Scikit-learn.
• Experience with cloud infrastructure, model deployment, and MLOps workflows.
• Understanding of statistical modeling, algorithms, and model evaluation.

Responsibilities

• Design and develop machine learning models for prediction, personalization, ranking, and recommendation.
• Build data preparation and feature engineering pipelines.
• Train, evaluate, and optimize models using suitable algorithms and frameworks.
• Deploy machine learning models into production environments.
• Develop monitoring and retraining workflows to maintain model quality.
• Improve inference performance, scalability, and computational efficiency.
• Collaborate with data scientists, infrastructure engineers, and product teams.
• Maintain technical documentation and follow responsible AI practices.

Skills

Python

SQL

MLOps

Model Deployment

Feature Engineering

Education

Bachelor's or Master's in CS/ML/Math or equivalent

Tools

PyTorch

TensorFlow

Scikit-learn

Docker

Cloud Computing

Job description

About Talemexa

Talemexa Private Limited delivers recruitment, staffing, and workforce solutions to help organizations source and engage skilled professionals. Our focus is on recruitment consulting, talent acquisition, and workforce support that helps businesses build capable teams and address changing talent requirements.

About the Role

We are seeking a Machine Learning Engineer to build, deploy, and maintain production-grade machine learning systems. The role involves working across the machine learning lifecycle, from data preparation and experimentation to model deployment, performance monitoring, and continuous optimization.

Key Responsibilities

• Design and develop machine learning models for prediction, personalization, ranking, and recommendation.
• Build data preparation and feature engineering pipelines.
• Train, evaluate, and optimize models using suitable algorithms and frameworks.
• Deploy machine learning models into production environments.
• Develop monitoring and retraining workflows to maintain model quality.
• Improve inference performance, scalability, and computational efficiency.
• Collaborate with data scientists, infrastructure engineers, and product teams.
• Maintain technical documentation and follow responsible AI practices.

Qualifications

• Bachelor's or master's degree in Computer Science, Machine Learning, Mathematics, or a related field, or equivalent practical experience.
• 3–6 years of experience in machine learning engineering or a related discipline.
• Strong proficiency in Python and SQL.
• Experience with PyTorch, TensorFlow, or Scikit-learn.
• Understanding of statistical modeling, algorithms, and model evaluation.
• Experience with cloud infrastructure, model deployment, and MLOps workflows.

Required Skills

Python, Machine Learning, PyTorch, TensorFlow, SQL, MLOps, Model Deployment, Feature Engineering, Docker, Cloud Computing.

Equal Opportunity Employer

Talemexa Private Limited is committed to fair and inclusive recruitment. We welcome qualified applicants from diverse backgrounds and aim to provide a professional environment that supports collaboration and career development.