Machine Learning Engineer

2 weeks ago

Noida, Uttar Pradesh, India Emperen Technologies Full time ₹ 10,00,000 - ₹ 25,00,000 per year

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 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.

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