Machine Learning (ML) Engineer

Job Title: Machine Learning (ML) Engineer
Location: Remote

Job Summary

Infosys is seeking a talented Machine Learning Engineer to support Cisco initiatives focused on automation, model optimization, and tooling enhancements. The ideal candidate has strong hands-on experience in Python, modern ML/AI frameworks, data preprocessing, and workflow automation. This role requires strong analytical ability, effective problem-solving, and the capability to work collaboratively across engineering and data-focused teams.

Must-Have Technical Skills (3+ Years)

Machine Learning & AI

• Strong proficiency in Python for ML development.

• Hands-on experience with ML/AI frameworks such as:

  • TensorFlow

  • PyTorch

  • VLLM

  • LLaMA / LLM fine-tuning

• Solid understanding of:

  • Data preprocessing

  • Feature engineering

  • Model tuning, evaluation, and optimization

Automation & Tools

• Experience developing automation scripts/tools to eliminate manual processes.

• Familiarity with RESTful APIs for external tool/service integrations.

Core Responsibilities

• Build, fine-tune, and optimize ML/LLM models using modern frameworks.

• Develop automation tools/scripts to enhance productivity across teams.

• Prepare and preprocess datasets for training and inference workflows.

• Integrate models with other systems via REST APIs.

• Analyze and improve ML model performance and efficiency.

• Collaborate closely with cross-functional teams including engineering, data, networking, and automation.

• Document models, workflows, automation logic, and processes clearly.

Problem-Solving Requirements

• Ability to identify workflow bottlenecks and propose ML-driven or automation-based improvements.

• Strong analytical mindset to evaluate pipelines, tools, and optimization outcomes.

Communication & Collaboration

• Strong written and verbal communication skills.

• Ability to work effectively within cross-functional and distributed teams.

• Capable of explaining complex ML concepts in a clear, concise manner.