Advanced Data Scientist

2 weeks ago

Pune, Maharashtra, India beBeeMachineLearning Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Senior Machine Learning Engineer

Transform Diabetes Management through Innovative Solutions and Technologies.

This role involves collaborating with data scientists and stakeholders to understand business requirements and translate them into machine learning solutions. The ideal candidate will have a strong background in machine learning, experience with popular frameworks, and a passion for innovation.

Key Responsibilities:

  • Design, develop, and implement machine learning models and algorithms to solve complex business problems.
  • Use software design principles to develop production-ready code.
  • Collect, preprocess, and analyze large datasets to train and evaluate machine learning models.
  • Optimize and fine-tune machine learning models for performance and accuracy.
  • Deploy machine learning models into production environments and monitor their performance.
  • Develop processes and tools to monitor and analyze model performance and data accuracy.
  • Stay up-to-date with the latest advancements in machine learning and apply them to improve existing models and algorithms.
  • Collaborate with cross-functional teams to integrate machine learning solutions into existing systems and workflows.
  • Document and communicate machine learning solutions, methodologies, and results to technical and non-technical stakeholders.
  • Mentor and provide guidance to junior Machine Learning Engineers.

Requirements:

  • Bachelor's degree from an accredited institution in a technical discipline such as the sciences, technology, engineering, or mathematics.
  • 5+ years of industry experience in writing production-level, scalable code (e.g., in Python).
  • 4+ years of experience with one or more of the following machine learning topics: classification, clustering, optimization, recommendation system, deep learning.
  • 4+ years of industry experience with distributed computing frameworks such as PySpark.
  • 4+ years of industry experience with popular ML frameworks such as Spark MLlib, Keras, TensorFlow, PyTorch, HuggingFace Transformers, and other libraries (like scikit-learn, spacy, genism, etc.).
  • 4+ years of industry experience with major cloud computing services like AWS or Azure or GCP.
  • 1+ year of experience in building and scaling Generative AI Applications, specifically around frameworks like Langchain, PGVector, Pinecone, Bedrock.
  • Experience in building Agentic AI applications.
  • 2+ years of technical leadership leading junior engineers in a product development setting.

Preferred Qualifications:

  • MS or Ph.D. in Computer Science, Software Engineering, Electrical Engineering, or related fields.
  • Proficient in containerization services.
  • Proficient in Sagemaker to deploy the models.
  • Experience with working in CICD framework.
  • Experience in deploying and scaling Open-source LLM Models.

Our Culture:

We are a team of experienced professionals passionate about transforming diabetes management through innovative solutions and technologies.

We believe in fostering a culture of collaboration, innovation, and continuous learning.

Join us in this exciting opportunity to make a meaningful impact on people's lives.

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