Senior ML Engineer

Zyoin Group; Bengaluru; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

A progressive company in IT Consulting seeks a mid-senior level machine learning engineer with 5-7 years of experience in developing production-grade models. The ideal candidate will have expertise in large language models and proficiency in Python. Excellent analytical and communication skills are essential. This is a full-time role based in Bengaluru, India.

Qualifications

• 5-7 years of experience in machine learning engineering with a track record in a regulated industry.
• Proficient in working with large language models and classic NLP technologies.
• Strong understanding of model fine-tuning and optimization.
• Strong Python and ML development experience.
• Experience deploying and managing ML models in production.
• Familiarity with MLOps tools and cloud ML platforms.

Responsibilities

• Develop and deploy production-grade models in healthcare.
• Manage ML models in production environments.
• Articulate complex concepts to diverse audiences.
• Implement model optimization and hyperparameter tuning.
• Maintain and monitor ML systems in production environments.

Skills

Hands-on expertise in large language models (e.g., GPT, BERT)

Proficient in Python

Strong understanding of deep learning techniques

Experience deploying ML models

Excellent analytical skills

Strong communication skills

Knowledge of MLOps and LLMOps

Basic software engineering principles

Experience with classic ML techniques

Knowledge of Azure ML or SageMaker (nice to have)

Tools

Kubeflow

MLflow

Azure ML

SageMaker

Job description

5-7 years of experience in machine learning engineering, with a significant track record in developing production‑grade models and model pipelines in a regulated industry such as healthcare.

• Hands‑on expertise in working with large language models (e.g., GPT, BERT), computer vision models, and classic NLP technologies.
• Proficient in programming languages such as Python, with extensive experience in ML.
• Strong understanding of deep learning techniques, model fine‑tuning, hyper‑parameter optimization, and model optimization.
• Proven experience in deploying and managing ML models in production environments.
• Excellent analytical skills, with a problem‑solving mindset and the ability to think strategically.
• Strong communication skills for articulating complex concepts to diverse audiences.
• Working knowledge or experience in MLOps and LLMOps using tools such as mlflow and kubeflow.
• Working knowledge of basic software engineering principles and best practices.
• Demonstrated working knowledge and experience on classic ML techniques and frameworks.
• Nice to have: Knowledge of cloud vendor based ML platforms such as Azure ML or SageMaker.

Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

IT Services and IT Consulting