Senior Machine Learning Engineer

Lonvec Technologies Private Limited; Bengaluru; On-site; INR 3,000,000 - 5,400,000; Full time

Job summary

Lonvec Technologies Private Limited in Bengaluru is seeking a Senior Machine Learning Engineer with 8+ years of hands-on experience to design and deploy scalable AI solutions. The role emphasizes Python, ML/DL, NLP, Generative AI, MLOps, and cloud platforms such as AWS, Azure, or GCP, with you operating as an individual contributor within cross-functional teams.

You will build and optimize ML pipelines, deploy models to production, support AI systems in production, and drive end-to-end AI

Qualifications

• 8+ years of experience in building and deploying ML/AI solutions.
• Strong Python, ML/DL skills and cloud exposure (AWS, Azure or GCP).
• Individual contributor who can collaborate with cross-functional teams.

Responsibilities

• Implement scalable AI/ML models and solutions.
• Develop and optimize ML pipelines and deploy models to production.
• Build MLOps workflows and manage AI/ML projects end-to-end.

Skills

Python

Machine Learning

Deep Learning

TensorFlow

PyTorch

NLP

Generative AI

MLOps

AWS

Azure

GCP

Job description

We are hiring a Senior Machine Learning Engineer with 8+ years of experience in building and deploying machine learning and AI solutions. The ideal candidate should be technically strong in Python, Machine Learning, Deep Learning, TensorFlow, PyTorch, NLP, Generative AI, MLOps, and cloud platforms such as AWS, Azure, or GCP. The role requires an individual contributor who can work individually while collaborating with cross-functional teams. Key responsibilities include the implementation of scalable AI/ML models and solutions, developing and optimizing machine learning pipelines, deploying models into production, building MLOps workflows, working with cloud infrastructure and containerized environments, providing technical support for production ML systems, and managing AI/ML projects end-to-end from research and development through deployment and optimization.

Requirements