Senior Machine Learning Engineer

9 hours ago

BangaloreMumbai, India SKS Enterpprises Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Job Description: Senior Machine Learning Engineer

Location: Bangalore and Mumbai

Role Overview: We are seeking a highly skilled Senior Machine Learning Engineer to join our team in Bangalore or Mumbai. As a key member of our technology team, you will play a pivotal role in developing and deploying advanced machine-learning models to drive innovation and enhance our products/services.

Responsibilities:

  • Lead end-to-end development and deployment of machine learning models, from data collection and preprocessing to model training, evaluation, and deployment.
  • Collaborate with cross-functional teams to understand business requirements and translate them into scalable machine learning solutions.
  • Conduct exploratory data analysis to gain insights and identify opportunities for applying machine learning techniques.
  • Research and implement state-of-the-art machine learning algorithms and techniques to solve complex problems.
  • Design and implement scalable and efficient pipelines for data preprocessing, feature engineering, and model training.
  • Evaluate model performance and make improvements to optimize accuracy, scalability, and efficiency.
  • Stay updated on the latest advancements in machine learning and apply them to enhance our products/services.

Requirements:

  • Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related field.
  • Proven experience in developing and deploying machine learning models in a production environment.
  • Proficiency in programming languages such as Python, R, or Scala, and machine learning libraries/frameworks such as TensorFlow, PyTorch, or scikit-learn.
  • Strong understanding of machine learning concepts and techniques, including supervised and unsupervised learning, deep learning, reinforcement learning, etc.
  • Experience with big data technologies (e.g., Hadoop, Spark) and distributed computing frameworks.
  • Excellent problem-solving skills and the ability to think creatively to overcome challenges.
  • Strong communication skills and the ability to collaborate effectively with cross-functional teams.

Preferred Qualifications:

  • Knowledge of cloud computing platforms (e.g., AWS, Azure, GCP) and services.
  • Experience with containerization technologies (e.g., Docker, Kubernetes).

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