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Gulbarga, Karnataka, India beBeeMachine Full time ₹ 1,00,00,000 - ₹ 1,50,00,000

Key Role: Machine Learning Engineer

We are looking for a highly skilled and experienced Machine Learning Engineer to join our team of experts. As a member of our team, you will play a key role in designing, developing, and deploying machine learning models and algorithms that drive business success.

Job Description:

In this challenging and rewarding role, you will work closely with data scientists, data engineers, and business stakeholders to build scalable and efficient machine learning solutions. Your primary responsibilities will include:

  • Designing and implementing machine learning models and algorithms with Databricks, including predictive analytics, natural language processing, computer vision, and more.
  • Leading the end-to-end development process, from data collection and preprocessing to model deployment and monitoring.
  • Collaborating with cross-functional teams to understand business requirements and translate them into technical solutions.
  • Optimizing and fine-tuning models for performance, accuracy, and scalability in a production environment.
  • Staying up-to-date with the latest advancements in machine learning and AI, and applying them to improve existing systems.

Our ideal candidate will have a strong background in machine learning engineering, with experience working with Databricks and cloud platforms. They will be able to communicate complex technical concepts effectively and work collaboratively as part of a fast-paced team.

Requirements:

To be successful in this role, you will need:

  • A bachelor's or master's degree in Computer Science, Data Science, Mathematics, or a related field.
  • 3+ years of experience in machine learning engineering or related fields.
  • 2+ years of experience with Databricks.
  • Proficiency in programming languages such as Python, R, or Java, with a strong understanding of machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
  • Experience with cloud platforms and MLOps tools, such as MLflow, for model deployment and monitoring.
Benefits:

We offer a range of benefits to support your career growth and well-being, including:

  • Competitive salary and bonus structure.
  • Opportunities for professional development and training.
  • A dynamic and supportive work environment.
  • Flexible working arrangements.

We are an equal opportunities employer and welcome applications from diverse candidates.