Posted:3 weeks ago| Platform: Indeed logo

Apply

Work Mode

On-site

Job Type

Full Time

Job Description

Job Information

    Date Opened

    07/01/2025

    Job Type

    Full time

    Industry

    Technology

    Work Experience

    5+ years

    City

    Chennai

    State/Province

    Tamil Nadu

    Country

    India

    Zip/Postal Code

    600096

Job Description

Job Description:


Job Summary:


We are looking for a skilled and driven Machine Learning Engineer with 4+ years of experience to design, develop, and deploy ML solutions across business-critical applications. You’ll work alongside data scientists, software engineers, and product teams to create scalable, high-impact machine learning systems in production environments.


Key Responsibilities:

  • Build, train, and deploy ML models for tasks such as classification, regression, NLP, recommendation, or computer vision.


  • Convert data science prototypes into production-ready applications.


  • Design and implement ETL/data pipelines to support model training and inference.


  • Optimize models and pipelines for performance, scalability, and efficiency.


  • Collaborate with DevOps/MLOps teams to deploy and monitor models in production.


  • Continuously evaluate and retrain models based on data and performance feedback.


  • Maintain thorough documentation of models, features, and processes.


Required Qualifications:

  • 4+ years
    of hands-on experience in machine learning, data science, or AI engineering roles.


  • Proficiency in Python and ML frameworks such as scikit-learn, TensorFlow, PyTorch, or similar.


  • Solid understanding of ML algorithms, data preprocessing, model evaluation, and tuning.


  • Experience working with cloud platforms (AWS/GCP) and containerization tools (e.g., Docker).


  • Familiarity with SQL and NoSQL databases, and working with large-scale datasets.


  • Strong problem-solving skills and a collaborative mindset.


  • Good to Have:


  • Experience with MLOps tools (e.g., MLflow, SageMaker, Kubeflow).


  • Knowledge of deep learning, transformers, or LLMs.


  • Familiarity with streaming data (Kafka, Spark Streaming) and real-time inference.


  • Exposure to ElasticSearch for data indexing or log analytics.


  • Interest in applied AI/ML innovation within domains like fin-tech, healthcare, or ecommerce.


    Education:

  • Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or a related field.

Mock Interview

Practice Video Interview with JobPe AI

Start DevOps Interview
cta

Start Your Job Search Today

Browse through a variety of job opportunities tailored to your skills and preferences. Filter by location, experience, salary, and more to find your perfect fit.

Job Application AI Bot

Job Application AI Bot

Apply to 20+ Portals in one click

Download Now

Download the Mobile App

Instantly access job listings, apply easily, and track applications.

coding practice

Enhance Your Skills

Practice coding challenges to boost your skills

Start Practicing Now

RecommendedJobs for You