Machine Learning Engineer Position Available

2 days ago

Alwar, Rajasthan, India beBeeMachineLearning Full time ₹ 90,00,000 - ₹ 1,20,00,000

We are seeking a highly skilled machine learning engineer to join our team.

This role involves designing, developing, and deploying machine learning models and algorithms with Databricks to solve complex business challenges. The successful candidate will work closely with data scientists, data engineers, and business stakeholders to build scalable and efficient machine learning solutions.

Key Responsibilities:

  • Design and implement machine learning models and algorithms with Databricks.
  • Lead the end-to-end development process, from data collection and preprocessing to model deployment and monitoring.
  • Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
  • Optimize and fine-tune models for performance, accuracy, and scalability in a production environment.
  • Stay up-to-date with the latest advancements in machine learning and AI, and apply them to improve existing systems.
  • Contribute to the development of machine learning infrastructure, including data pipelines, model serving frameworks, and monitoring tools.
  • Collaborate with client stakeholders to drive solutions to solve business problems.

Required Skills and Qualifications:

  • Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, or a related field; PhD is a plus.
  • 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.
  • Strong problem-solving skills and ability to work in a fast-paced environment.
  • Excellent communication and collaboration skills, with a track record of working effectively in cross-functional teams.

About Us:

We are an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.

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