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Machine Learning Engineer - LLM Models

Machine Learning Engineer - LLM Models

Emperen TechnologiesDelhi, IN
30+ days ago
Job type
  • Remote
Job description

Job Title : Machine Learning Engineer

Job Type : Full-Time

Experience Level : Mid to Senior [5+ Years]

Department : Data Science / AI Engineering

Job Summary :

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 & 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

    • (ref : hirist.tech)

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