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Data Science Manager

12 years

0 Lacs

Posted:2 days ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

About Us:

Primary Responsibilities:

  • Develop and implement AI and machine learning strategies for several healthcare domains
  • Hands on Experience in AI and drive the development of innovative AI and machine learning solutions
  • Collaborate with cross-functional teams to identify and prioritize AI and machine learning initiatives
  • Manage the development and deployment of AI and machine learning solutions
  • Develop and run pipelines for data ingress and model output egress.
  • Develop and run scripts for ML model inference.
  • Design, implement, and maintain CI/CD pipelines for MLOps and DevOps functions.
  • Identify technical problems and develop software updates and fixes.
  • Develop scripts or tools to automate repetitive tasks.
  • Automate the provisioning and configuration of infrastructure resources.
  • Provide guidance on the best use of specific tools or technologies to achieve desired results.
  • Create documentation for infrastructure design and deployment procedures.
  • Utilize AI/ML frameworks and tools such as MLFlow, TensorFlow, PyTorch, Keras, Scikit-learn, etc.
  • Lead and manage AI/ML teams and projects from ideation to delivery and evaluation.
  • Apply expertise in various AI/ML techniques, including deep learning, NLP, computer vision, recommender systems, reinforcement learning, and large language models.
  • Proficiency in Python, R, or other programming languages for data analysis and AI/ML development.
  • Communicate complex AI/ML concepts and results to technical and non-technical audiences effectively.

Required Qualifications:

  • A bachelor’s/master degree in computer science, engineering, mathematics, statistics, or a related discipline
  • 12+ years of experience in Software Engineering, Data Science, or Analytics with at least 8 years of experience in AI/ML engineering or related fields
  • Experience with cloud platforms and services, such as AWS, Azure, GCP, etc.
  • Experience in developing solutions in the NLP space and relevant projects.
  • Proficiency in multiple machine learning and AI techniques such as supervised, unsupervised, reinforcement learning, deep learning, and NLP.
  • Understanding of common NLP tasks such as text classification, entity recognition, entity extraction, and question answering.

. Demonstrated experience in leading and managing AI/ML teams and projects, from ideation to delivery and evaluation

  • Familiarity with both open-source and OpenAI LLMs and RAG architecture.
  • Proficient in Python and one of PySpark or Scala. Familiarity with python tools for data processing
  • Ability to develop and deploy data pipelines, machine learning models, or applications on cloud platforms (Azure, Databricks, AzureML)
  • Knowledge of NLP literature, thrust areas, conference venues, and code repositories.
  • Familiarity with UI tools like Streamlit, Flask, FAST APIs, Rest APIs, Docker containers.
  • Proficiency in libraries such as Hugging Face and OpenAI API.
  • Experience with Azure development environments
  • Proven excellent communication, presentation, and interpersonal skills, with the ability to explain complex AI/ML concepts and results to technical and non-technical audiences
  • Solid analytical, problem-solving, and decision-making skills, with the ability to balance innovation and pragmatism
  • A passion for learning and staying updated with the latest AI/ML trends and research


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Hospitals and Health Care

Eden Prairie MN

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