Data Scientist

Job Overview:

• We are seeking a Data Scientist to build, deploy, and optimize machine learning and AI models for predictive and generative applications
• The role involves handling data preprocessing, model training, fine-tuning, and collaborating with GenAI developers to integrate models into production systems
• The ideal candidate will work with cloud ML platforms and leverage modern ML/AI frameworks to deliver scalable, high-performance solutions

Key Responsibilities:

• Build and deploy ML/AI models for predictive and generative tasks
• Perform data preprocessing, feature engineering, model training, and fine-tuning
• Collaborate with GenAI developers and engineering teams to integrate models into production applications
• Optimize models for performance, scalability, and reliability
• Document model pipelines, experiments, and performance metrics
• Stay updated with the latest ML/AI research and technologies

• Educational Qualifications

  : Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, or related fields
• Preferred: Specialization in Machine Learning, Deep Learning, or Cloud AI

Professional Experience:

• 3-4 years of experience in building and deploying ML/AI models
• Hands-on experience with Python, NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch
• Proven experience with cloud ML platforms (Azure ML, GCP AI, AWS SageMaker)

• Technical Skills:

• Strong proficiency in Python and key ML/AI libraries (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch)
• Experience with cloud-based ML platforms (Azure ML, GCP AI, AWS SageMaker)
• Knowledge of model fine-tuning, evaluation, and optimization techniques
• Understanding of production-level deployment and integration of ML models

• Certifications (Preferred):

• Certifications in Azure AI, Google Cloud ML, or AWS ML/SageMaker are preferred
• Other Requirements:Strong collaboration and communication skills
• Analytical mindset and problem-solving capability
• Ability to document workflows, model performance, and code efficiently
• Location - Ahmedabad, Bengaluru, Hyderabad, Pune, Mumbai, Gurugram, Chennai, Noida.