Senior Machine Learning Engineer

CodersBrain

Bengaluru

Remote

INR 1,500,000 - 2,500,000

Full time

14 days+

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Job summary

A leading company in IT Services and Consulting seeks a Senior Machine Learning Engineer to manage AI/ML projects and implement best practices in MLOps. The ideal candidate will have extensive experience in building production-level ML systems and mentoring junior engineers. This remote position requires expertise in various AI domains and strong programming skills.

Qualifications

5-8+ years of experience in AI/ML.
Proven expertise in building production-level ML systems.
Fluency in Python and knowledge of distributed frameworks.

Responsibilities

Drive end-to-end lifecycle management of AI/ML projects.
Implement best practices in MLOps.
Mentor junior team members and contribute to model architecture decisions.

Skills

AI/ML

Model Development

MLOps

Feature Engineering

Python

Statistical Learning

Deep Learning

Reinforcement Learning

Tensorflow

PyTorch

Education

Bachelor's Degree

Tools

Spark

Hadoop

SQL

Job description

Direct message the job poster from CodersBrain

We are #hiring for #machinelearning, #mlops, #MLengineer, #mlengineer,#datascientist, #aiml, #remote, #contractual,

Please revert back your Updated Cv to Krishna.priyanka@codersbrain.com

Role :Senior Machine Learning Engineer

Experience : 5yrs to 10 yrs

Work Mode : Remote

Notice Period : Immediate to 1 month

Responsibilities

Drive end-to-end lifecycle management of AI/ML projects from concept and data acquisition to prototyping, model development, deployment, and ongoing maintenance.
Implement and champion best practices in MLOps, including data ingestion, model training pipelines, monitoring, alerting, and QA to ensure model reliability and performance.
Contribute significantly to model architecture decisions, leveraging state-of-the-art machine learning, deep learning, and reinforcement learning techniques.
Develop and deploy robust feature engineering pipelines and ML services optimized for low latency and high throughput.
Establish and utilize robust A/B testing and experimentation frameworks to evaluate and iteratively improve model performance.
Translate research papers into high-quality, production-ready code.
Communicate effectively, collaborate, and build long-term relationships across the organization.
Mentor junior team members in achieving engineering excellence and be a change agent on the team.

Basic Qualifications

Bachelor's with 5-8+ years of industry experience in AI/ML, developing and deploying production-level ML systems.
Proven expertise in building AI/ML models in at least one of the following domains: Ads, relevance, ranking, recommendation systems, and search.
Breadth and depth knowledge of statistical learning, machine learning, and deep learning.
Experience in building distributed, low-latency, high-throughput batch and online ML services.
Hands-on experience in deploying and maintaining ML pipelines in production, including feature engineering and model monitoring frameworks.
Fluency in Python and proficiency with distributed frameworks (Spark, Hadoop), SQL, and cloud infrastructure.
Experience with ML packages such as Tensorflow or PyTorch, scikit-learn, and Spark ML.
Ability to operate efficiently in a high-paced, multi-functional, and rapidly evolving environment.

Preferred Qualifications

2+ years of experience in building ML models in the ads space or recommender systems.
Experience in building CTR/CVR prediction, ad selection, keyword bidding, and Learning to Rank models.
Experience in building and deploying online experimentation frameworks to identify right models and features at scale.
Experience in building ad selection frameworks using reinforcement learning or contextual bandits.
Experience in fine tuning LLMs or building them from scratch.
Experience in building products using Generative AI powered autonomous agents.

Thanks & Regards,

Seniority level