Expert Machine Learning Model Developer

1 day ago


Agra, Uttar Pradesh, India beBeeMachineLearning Full time ₹ 1,80,00,000 - ₹ 2,50,00,000
Machine Learning Engineer

We are seeking an experienced professional to lead the design, development, and deployment of machine learning models and algorithms. As a key member of our team, you will be responsible for building scalable and efficient solutions with Databricks.

Key Responsibilities:

  • Design and implement machine learning models and algorithms with Databricks, including predictive analytics, natural language processing, computer vision, and more.
  • 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.

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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