Senior artificial intelligence research scientist

4 weeks ago


Pune, India NorthStar HR Consultants Full time

Job Title - Senior / AI Research Scientist Job Location - Pune, Maharashtra About Client - Our stealth mode start-up client is working on emphasizing on the energy consumption, Total Cost of Usage (TCU), and Total Cost of Ownership (TCO) in our AI deployment strategy.

Job Description: Our client is seeking an Senior / AI Research Specialist to support their novel AI agent system.

The ideal candidate will conduct in-depth research on emerging AI models, analyze their potential integration with our system, and provide expert advice on optimizing model performance.

Key Responsibilities: Monitor and analyze new AI models as they enter the market Assess the applicability of emerging models to our AI agent system Provide insights on model architectures, weights, biases, & training methods Develop and recommend fine-tuning strategies for optimal performance Optimize model efficiency by determining the minimal necessary layer structure Required Qualifications: Advanced degree in Computer Science (MS or Ph D), Machine Learning, Engineering, Applied Mathematics, or related quantitative field.

Candidates with backgrounds in Control Theory, Information Theory, or similar disciplines are especially encouraged to apply Extensive knowledge of various AI model architectures and their inner workings Strong understanding of neural network fundamentals, including weights, biases, and activation functions Experience with model fine-tuning and hyperparameter optimization Proficiency in Python and common ML frameworks (e.g., Tensor Flow, Py Torch) Familiarity with state-of-the-art AI research and ability to quickly grasp new concepts Demonstrated ability to apply systematic, logical thinking to complex problems, particularly in model optimization and efficiency Excellent analytical and problem-solving skills Strong communication skills to convey complex technical concepts clearly Preferred Skills: Knowledge of Control Theory concepts (e.g., feedback systems, stability analysis) Familiarity with Information Theory principles Experience applying interdisciplinary approaches to AI/ML problems



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