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Urgent! AI/ML Scientist Job Opening In Bengaluru – Now Hiring Prescience Decision Solutions

AI/ML Scientist



Job description

Job Description

  • Build, train, and deploy machine learning models to address key business challenges.

     
  • Apply advanced deep learning techniques—including NLP, computer vision, and recommendation systems—using frameworks such as TensorFlow and PyTorch .

     
  • Design and develop scalable, end-to-end AI pipelines, from data preprocessing to production deployment.

     
  • Leverage generative AI and large language models (e.g., transformers, embedding) to deliver innovative solutions.

     
  • Partner with product and engineering teams to integrate AI capabilities into business workflows seamlessly.

       
  • Clearly communicate model results and insights to both technical and non-technical stakeholders.

  •   Proven experience in data science or applied machine learning   
  • Analytical-minded, proactive, and results-driven.

  •   Excellent communicator with the ability to simplify complex ideas for any audience.

     
  • Quick to learn, creative in problem solving, and takes ownership.

     
  • Takes ownership, is self-motivated, and thrives in a fast-paced environment.

     




Requirements

  • 2–4 years of hands-on experience in data science or applied machine learning.

     

  • Proficiency in Python and key machine learning libraries such as scikit-learn, XGBoost , and Hugging Face.

     

  • Strong skills in data wrangling, feature engineering, and model evaluation.

     
    Experience with generative AI and large language models (e.g., transformers, embedding).

     

  • Ability to build scalable end-to-end AI pipelines.

     

  • Experience with cloud-based ML platforms (AWS, GCP, or Azure).

     

  • Ability to stay current with emerging AI/ML trends and apply new techniques to solve real-world problems


 

 



Benefits

  • Competitive salary and performance-based bonuses.


  • Comprehensive insurance plans.


  • Collaborative and supportive work environment
  • Chance to learn and grow with a talented team.


  • A positive and fun work environment.





Requirements
2–4 years of hands-on experience in data science or applied machine learning.

Proficiency in Python and key machine learning libraries such as scikit-learn, XGBoost, and Hugging Face.

Strong skills in data wrangling, feature engineering, and model evaluation.

Experience with generative AI and large language models (e.g., transformers, embedding).

Ability to build scalable end-to-end AI pipelines.

Experience with cloud-based ML platforms (AWS, GCP, or Azure).

Ability to stay current with emerging AI/ML trends and apply new techniques to solve real-world problems


Required Skill Profession

Other General



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