Data Driven Innovations Specialist

3 days ago

Bengaluru, Karnataka, India beBeeMachineLearning Full time ₹ 1,04,000 - ₹ 1,30,878
Machine Learning Engineer

We are seeking a highly skilled Machine Learning Engineer to join our team. As a key member of our data science group, you will work closely with our network domain specialist to develop and implement machine learning models that enhance our portfolio.

Your primary responsibility will be to design, develop, and deploy scalable machine learning solutions that meet the needs of our customers. You will collaborate with product managers and domain specialists to identify business opportunities and develop data-driven solutions.

You will also be responsible for working with large datasets, developing feature selection strategies, training and validating machine learning models, and deploying them in production environments.

  • Key Responsibilities:
  • Design and develop machine learning models using various algorithms and techniques
  • Collaborate with cross-functional teams to understand business needs and develop solutions
  • Work with large datasets to develop feature selection strategies and train machine learning models
  • Deploy machine learning models in production environments and optimize their performance
  • Requirements:
  • Bachelor's or Master's degree in Computer Science, Electrical Engineering, Statistics, or Applied Math
  • Strong understanding of machine learning concepts, including supervised and unsupervised learning, clustering, and neural networks
  • 3+ years of experience building machine learning-driven solutions, including data collection, feature selection, model training, and deployment
  • Hands-on experience with Python, NumPy, scikit-learn, TensorFlow, and other popular machine learning libraries
  • Familiarity with cloud-based platforms such as AWS and Google Cloud
  • Desired Skills:
  • Experience with NLP, computer vision, or other specialized domains
  • Knowledge of deep learning architectures and techniques
  • Strong communication and collaboration skills
  • Familiarity with DevOps practices and continuous integration/continuous deployment (CI/CD) pipelines

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