DataScience Leader

This is a key role that involves the development and implementation of advanced artificial intelligence solutions to solve complex business problems.

We are seeking a highly skilled individual with expertise in machine learning, deep learning, and large language models. The ideal candidate will have hands-on experience with cloud platforms, full-stack development, and data engineering.

Key Responsibilities:

• Design, develop, and deploy advanced AI/ML models to solve real-world problems.
• Implement and optimize large language models (LLMs) and generative AI solutions for practical applications.
• Build agent-based AI systems with autonomous decision-making capabilities.
• Conduct cutting-edge research on emerging AI technologies and explore their applications.
• Perform model evaluation, validation, and continuous optimization to ensure high performance.

Technical Skills:

• Machine Learning: Proficient in Scikit-learn, XGBoost, LightGBM, and advanced ML algorithms.
• Deep Learning: Expertise in TensorFlow, PyTorch, Keras, CNNs, RNNs, LSTMs, and Transformers.
• Large Language Models: Experience with GPT, BERT, T5, fine-tuning, and prompt engineering.
• Generative AI: Hands-on experience with Stable Diffusion, DALL-E, text-to-image, and text generation models.
• Agentic AI: Knowledge of multi-agent systems, reinforcement learning, and autonomous agents.

Required Qualifications:

• Master's or PhD in Computer Science, Data Science, Statistics, Mathematics, or a related field.
• 5+ years of hands-on experience in AI/ML, with a focus on real-world applications.
• 3+ years of experience working with deep learning frameworks and neural networks.
• 2+ years of experience with cloud platforms and full-stack development.

Benefits:

• Cloud infrastructure - ML/AI solutions on AWS, Azure, or GCP.
• Build and maintain ML pipelines using cloud services (SageMaker, ML Engine, etc.).
• Implement CI/CD pipelines for ML model deployment and monitoring.
• Work with both SQL and NoSQL databases (PostgreSQL, MongoDB, Cassandra, etc.).
• Programming skills in Python, R, Java/Scala, JavaScript/TypeScript.