Senior Machine Learning Engineer

9 hours ago

Mumbai, Maharashtra, India beBeeDataScientist Full time ₹ 20,00,000 - ₹ 30,00,000

About the Role

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The Machine Learning Engineer will play a vital part in our data-driven products and services. We're looking for someone to assist our ML platform team on all aspects of design, development, and delivery.

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This role focuses on designing, developing, and delivering data products, including problem definition, data acquisition, exploration, feature engineering, experimenting with algorithms, machine learning, deploying models, iteratively improving the solution, and building tools for this process.

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As a Machine Learning Engineer, you'll work with diverse structured and unstructured data sources in both batch and streaming modes, potentially various formats including tabular, audio, text, and time series.

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You'll support the Head of Data Science and Engineering in critical workstreams around Data Science and Engineering.

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Main Responsibilities

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  • Drive the development of machine learning pipelines for data-driven products and services">
  • Contribute to architecture and technical decisions to create machine learning workflows and pipelines in cloud (e.g., AWS)">
  • Collaborate with data scientists and engineers to deploy new machine learning and deep learning models into complex production systems">
  • Select the right tool(s)/services(s) for the job and make it work in production">
  • Promote a culture of self-serve data analytics by minimizing technical barriers to data access and understanding">
  • Stay current with the latest research and technology and communicate your knowledge throughout the enterprise">
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Key Skills and Qualifications

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We're looking for someone with:

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  • Data science and engineering experience with PySpark, PySpark ML, Python, Hive, Postgres, Sk-learn">
  • Machine learning expertise in collaborative filtering, NLP, TF-IDF, decision trees, regression, clustering">
  • A data science and analytical background">
  • Ability to interact with technical and non-technical stakeholders">
  • Experience with Kubernetes or similar orchestration systems, relational database systems (e.g., Oracle, MySQL, MS SQLServer), distributed computing frameworks (e.g., Hadoop, Spark), and cloud providers (e.g., AWS, Azure)">
  • Familiarity with visualization & UI tools like Tableau, Plotly, Python Flask, Zeppelin, and large language models like ChatGPT">
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Benefits

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We offer a dynamic work environment, opportunities for growth and professional development, and a competitive salary package.

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What We Offer

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We're committed to creating a positive and inclusive work environment that supports diversity, equity, and inclusion.

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Contact Information

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Please submit your application through our website.

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