Data Science and Machine Learning Professional

1 week ago


Alwar, Rajasthan, India beBeeArtificialIntelligence Full time ₹ 60,00,000 - ₹ 1,20,00,000

Role Overview:

We are seeking an experienced professional to join our team as a

  • This individual will be responsible for designing and implementing AI/ML models and data-driven solutions to address complex challenges in the healthcare and life sciences industries.
  • They will analyze large datasets to identify trends, generate insights, and support data-informed decision-making.
  • The successful candidate will partner with consultants, data engineers, and scientists to build end-to-end data pipelines and analytical workflows.
  • They will also interact with clients through interviews, workshops, and presentations, contributing to deliverables and building strong relationships.
  • Additionally, they will translate complex analyses into clear, actionable insights for both technical and non-technical stakeholders.

Key Responsibilities Include:

AI & Data Solutions: Design and implement AI/ML models and data-driven solutions to address complex challenges in healthcare and life sciences.

Data Analysis & Insights: Analyze large datasets to identify trends, generate insights, and support data-informed decision-making.

Cross-functional Collaboration: Partner with consultants, data engineers, and scientists to build end-to-end data pipelines and analytical workflows.

Client Engagement: Interact with clients through interviews, workshops, and presentations, contributing to deliverables and building strong relationships.

Communication & Reporting: Translate complex analyses into clear, actionable insights for both technical and non-technical stakeholders.

Continuous Learning & Mentorship: Stay current with AI/ML advancements, contribute to research and proposals, and mentor junior team members.

  • Proficiency in Python is preferred; familiarity with other programming languages (e.g., R, Java) is a plus.
  • Experience with frameworks such as TensorFlow, PyTorch, or scikit-learn.
  • Experience working with generative AI models, such as GPT, BERT, LLaMA, or other transformer-based architectures.
  • Experience in developing, testing, and deploying high-quality AI models and solutions.
  • Proficiency in data manipulation, cleaning, and analysis.
  • Ability to create clear and insightful visualizations using tools like Matplotlib, Seaborn, or Tableau.
  • Familiarity with cloud services like AWS, Google Cloud, or Azure for deploying AI solutions.

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