Medtronic

Senior Machine Learning Engineer

Medtronic

full-time

Posted on:

Location Type: Hybrid

Location: Pune • 🇮🇳 India

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Job Level

Senior

Tech Stack

AWSAzureCloudGoogle Cloud PlatformKerasPySparkPythonPyTorchScikit-LearnSparkTensorflow

About the role

  • 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 + years 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.
Benefits
  • A commitment to our employees lives at the core of our values.
  • We recognize their contributions.
  • They share in the success they help to create.
  • We offer a wide range of benefits, resources, and competitive compensation plans designed to support you at every career and life stage.
  • This position is eligible for a short-term incentive called the Medtronic Incentive Plan (MIP).

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
machine learningproduction level codePythonclassificationclusteringoptimizationdeep learningdistributed computingGenerative AIAgentic AI
Soft skills
collaborationcommunicationmentoringguidanceproblem solving
Certifications
Bachelor’s degree in technical discipline