Machine Learning Engineer

5 years

0 Lacs

Posted:18 hours ago| Platform: Linkedin logo

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Work Mode

Remote

Job Description

  • Role:

    Machine Learning Engineer
  • Job Location:

    Remote (Occasional travel to Chennai)
  • Experience:

    5-8 years


About the Role

We are seeking a highly skilled and mathematically grounded Machine Learning Engineer to join our AI team. The ideal candidate will have 5+ years of ML experience with a deep understanding of machine learning algorithms, statistical modeling, and optimization techniques, along with hands-on experience in building scalable ML systems using modern frameworks and tools.

Key Responsibilities:

  • Design, develop, and deploy machine learning models for real-world applications.
  • Collaborate with data scientists, software engineers, and product teams to integrate ML solutions into production systems.

·      Understand the mathematics behind machine learning algorithms to effectively implement and optimize them.

  • Conduct mathematical analysis of algorithms to ensure robustness, efficiency, and scalability.
  • Optimize model performance through hyperparameter tuning, feature engineering, and algorithmic improvements.
  • Stay updated with the latest research in machine learning and apply relevant findings to ongoing projects.



Required Qualifications

Mathematics & Theoretical Foundations

  • Strong foundation in

    Linear Algebra

    (e.g., matrix operations, eigenvalues, SVD).
  • Proficiency in

    Probability and Statistics

    (e.g., Bayesian inference, hypothesis testing, distributions).
  • Solid understanding of

    Calculus

    (e.g., gradients, partial derivatives, optimization).
  • Knowledge of

    Numerical Methods

    and

    Convex Optimization

    .
  • Familiarity with

    Information Theory

    ,

    Graph Theory

    , or

    Statistical Learning Theory

    is a plus.

Programming & Software Skills

  • Proficient in

    Python

    (preferred), with experience in libraries such as:
  • NumPy, Pandas, Scikit-learn, Matplotlib, Seaborn
  • Experience with

    deep learning frameworks

    :
  • TensorFlow, PyTorch, Keras, or JAX
  • Familiarity with

    ML Ops tools

    :
  • MLflow, Kubeflow, Airflow, Docker, Kubernetes
  • Experience with

    cloud platforms

    (AWS, GCP, Azure) for model deployment.

Machine Learning Expertise

  • Hands-on experience with supervised, unsupervised, and reinforcement learning.
  • Understanding of model evaluation metrics and validation techniques.
  • Experience with large-scale data processing (e.g., Spark, Dask) is a plus.



Preferred Qualifications

  • Master’s or Ph.D. in Computer Science, Mathematics, Statistics, or a related field.
  • Publications or contributions to open-source ML projects.
  • Experience with LLMs, transformers, or generative models.




Integers.Ai is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.


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Integers.Ai

Artificial Intelligence / Machine Learning

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