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MS_AG_AI_Backfill_IN_1
MS_AG_AI_Backfill_IN_1Confidential • Noida
MS_AG_AI_Backfill_IN_1

MS_AG_AI_Backfill_IN_1

Confidential • Noida
30+ days ago
Job description

Key Responsibilities :

Hands-on Development :

  • Develop and implement machine learning models and algorithms , including supervised, unsupervised, deep learning, and reinforcement learning techniques.
  • Implement Generative AI solutions using technologies like RAG (Retrieval-Augmented Generation), Vector DBs , and frameworks such as LangChain and Hugging Face, Agentic AI .
  • Utilize popular AI / ML frameworks and libraries such as TensorFlow, PyTorch, and scikit-learn .
  • Design and deploy NLP models and techniques , including text classification, RNNs, CNNs, and Transformer-based models like BERT.
  • Ensure robust end-to-end AI / ML solutions, from data preprocessing and feature engineering to model deployment and monitoring.

Technical Proficiency :

  • Demonstrate strong programming skills in languages commonly used for data science and ML, particularly Python .
  • Leverage cloud platforms and services for AI / ML, especially AWS , with knowledge of AWS Sagemaker, Lambda, DynamoDB, S3 , and other AWS resources.
  • Mentorship :

  • Mentor and coach a team of data scientists and machine learning engineers, fostering skill development and professional growth.
  • Provide technical guidance and support, helping team members overcome challenges and achieve project goals.
  • Set technical direction and strategy for AI / ML projects, ensuring alignment with business goals and objectives.
  • Facilitate knowledge sharing and collaboration within the team, promoting best practices and continuous learning.
  • Strategic Advisory :

  • Collaborate with cross-functional teams to integrate AI / ML solutions into business processes and products.
  • Provide strategic insights and recommendations to support decision-making processes.
  • Communicate effectively with stakeholders at various levels, including technical and non-technical audiences.
  • Required Skills :

  • Extensive proficiency with generative AI technologies , including RAG, Vector DBs , and frameworks such as LangChain and Hugging Face, Agentic AI .
  • Proficiency in machine learning algorithms and techniques , including supervised and unsupervised learning, deep learning, and reinforcement learning.
  • Extensive proficiency with AI / ML frameworks and libraries such as TensorFlow, PyTorch, and scikit-learn .
  • Strong knowledge of natural language processing (NLP) techniques and models , including Transformer-based models like BERT.
  • Proficient programming skills in Python .
  • Proficiency with cloud platforms like AWS , including AWS Sagemaker, Lambda, DynamoDB, S3 , and other AWS resources.
  • Proven ability to lead a team of data scientists or machine learning engineers on complex projects.
  • Strong project management skills, with the ability to prioritize tasks, allocate resources, and meet deadlines.
  • Excellent communication skills and the ability to convey complex technical concepts to diverse audiences.
  • Strong problem-solving and analytical abilities.
  • Proven ability to manage projects and activities.
  • Preferred Skills :

  • Proficiency in setting technical direction and strategy for AI / ML projects.
  • Knowledge of the Insurance domain.
  • Ability to mentor and coach junior team members, fostering growth and development.
  • Proven track record of successfully managing AI / ML projects from conception to deployment.
  • Skills Required

    Tensorflow, Pytorch, Aws, Python

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    MS_AG_AI_Backfill_IN_1 • Noida

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