Senior Machine Learning Engineer

2 days ago


Lucknow, Uttar Pradesh, India beBeeData Full time ₹ 1,50,00,000 - ₹ 3,00,00,000
Lead Data Scientist, AI Systems">

We're looking for an experienced Lead Data Scientist to join our team. As a key member of our AI engineering team, you'll play a critical role in developing and deploying advanced machine learning models that help us understand the complex dynamics of business interactions.

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Your primary focus will be on designing and building large-scale machine learning systems that can handle high-volume data streams and deliver accurate predictions at scale. You'll work closely with cross-functional teams, including software engineers, product managers, and data analysts, to ensure seamless integration of your models into our existing infrastructure.

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Responsibilities:

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  • ">
  • Develop advanced machine learning models for predictive analytics and recommendation systems.">
  • Design and deploy large-scale data processing pipelines using distributed computing frameworks like Apache Spark or Hadoop.">
  • Collaborate with data engineers to integrate machine learning models into our data warehousing and business intelligence platforms.">
  • Mentor junior data scientists and engineers to develop their skills in machine learning and data engineering.">
  • Contribute to the development of new features and capabilities within our AI platform.">
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Requirements:

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  • ">
  • PhD in Computer Science, Statistics, Engineering, Mathematics, or similar quantitative discipline.">
  • 5+ years of hands-on experience in machine learning, data science, and data engineering.">
  • Strong programming skills in languages such as Python, R, or Julia.">
  • Experience with cloud-based technologies such as AWS or Azure.">
  • Ability to communicate complex technical concepts to both technical and non-technical stakeholders.">
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What We Offer:

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  • ">
  • Competitive salary and benefits package.">
  • Opportunities for career growth and professional development.">
  • Collaborative and dynamic work environment.">
  • Flexible working hours and remote work options.">
"]},

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