Senior ML Engineer (Poonamallee)

We are looking for a Senior Machine Learning Engineer with strong foundations in

classical machine learning to design, build, and deploy scalable ML solutions that power

data -driven products and platforms. This role involves owning the end -to -end ML lifecycle

from data ingestion and feature engineering to model training, evaluation, and production

deployment while collaborating closely with data engineering, platform, and product

teams.

The ideal candidate is hands -on, production -oriented, and deeply experienced in

regression, classification, and large -scale data processing, with working exposure to

contemporary Generative AI and LLM platforms as an added advantage. <\/div> <\/span>

Requirements<\/h3> Design, develop, and deploy ML models for regression, classification, clustering,

and anomaly detection use cases

• Build end -to -end ML pipelines including data extraction, ingestion, preprocessing,

feature engineering, model training, and evaluation

• Work with structured and semi -structured data to enable scalable, high performance ML systems

• Implement feature engineering, feature selection, normalization, and scaling

techniques for robust model performance

• Deploy and monitor ML models in production using containerized and cloud -native

approaches

• Collaborate with data engineering teams on ETL pipelines, data quality, and data

availability

• Optimize model performance, reliability, and inference latency in real -world

environments

• Contribute to MLOps practices including versioning, CI/CD, monitoring, and

retraining workflows

• Leverage LLM -based solutions where appropriate (e.g., text classification,

enrichment, or hybrid ML + LLM pipelines) <\/div> <\/span>

Benefits<\/h3> 3–5 years of experience building and deploying machine learning solutions in

production environments

• Proven track record of delivering end -to -end ML projects from data to deployment

• Strong problem -solving mindset with the ability to translate business problems into

ML solutions

• Experience working in cross -functional, data -driven teams <\/div> <\/span> Apply on Kit Job: kitjob.in/job/4lv65r