Data Science Specialist

5 days ago

Cochin, Kerala, India beBeeMachine Full time ₹ 1,00,00,000 - ₹ 2,50,00,000
Job Opportunity

About us:

We are a product development company, building scalable software with a team of engineers specializing in core product development.

We aim to be the best product development company from India, achieving this by creating the best talent pool and work environment possible.

In our view, every employee is an owner of their work, craft, and can perform best when they see the horizon that we are sailing towards. We seek open-minded, ever-learning, and all-embracing talents who create, live, and code on the cloud.

Key Responsibilities
  • Create and deploy machine learning models for various applications (e.g., recommendation systems, fraud detection, natural language processing)
  • Collaborate with data scientists to understand business requirements, translate them into technical specifications, and select suitable algorithms
  • Prepare and clean data for training and evaluation of machine learning models
  • Train, test, and evaluate machine learning models to ensure accuracy, efficiency, and scalability
  • Monitor and maintain deployed models in production, identify opportunities for improvement
  • Stay up-to-date on the latest advancements in machine learning research and best practices
  • Communicate effectively with technical and non-technical audiences to explain complex concepts
Requirements
  • 3-7 years of experience in machine learning engineering
  • Proven experience in building and deploying machine learning models
  • Strong understanding of machine learning algorithms and techniques (e.g., supervised learning, unsupervised learning, deep learning)
  • Proficiency in Python
  • Experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn)
  • Excellent problem-solving and analytical skills
  • Strong communication and collaboration skills

Bonus points: Experience with cloud platforms (e.g., AWS, GCP, Azure), MLOps tools and methodologies, open-source contributions.

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