Lead Assistant Manager

20 hours ago

Gurgaon EXL Gurgaon Center India Analytics Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Job Summary:
We are looking for a motivated and skilled Machine Learning Engineer to join our team. The ideal candidate will have hands-on experience in building, deploying, and maintaining machine learning models and pipelines. You will collaborate closely with data scientists, software engineers, and product teams to turn data insights into scalable, production-ready solutions.

Key Responsibilities:

  • Design, develop, and deploy machine learning models and algorithms for real-world applications.

  • Collaborate with data scientists to understand model requirements and translate prototypes into production code.

  • Preprocess, clean, and analyze large datasets to improve model performance and accuracy.

  • Optimize and fine-tune models using hyperparameter tuning, feature engineering, and cross-validation.

  • Build and maintain scalable data pipelines and automated workflows for model training and deployment.

  • Monitor and troubleshoot deployed models, ensuring reliability and performance in production environments.

  • Work with engineering teams to integrate ML solutions into existing products and services.

  • Stay updated with the latest advancements in machine learning and apply best practices.

Qualifications:

  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.

  • 2-5 years of experience in machine learning or data science roles.

  • Strong programming skills in Python and experience with ML libraries such as TensorFlow, PyTorch, scikit-learn, or similar.

  • Solid understanding of machine learning concepts, algorithms, and statistical methods.

  • Experience with data processing tools and frameworks (e.g., Pandas, NumPy, Spark).

  • Familiarity with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes) is a plus.

  • Knowledge of software engineering best practices, version control (Git), and CI/CD pipelines.

  • Strong problem-solving skills and the ability to work both independently and collaboratively.

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