Join Date: Immediate

What You’ll Do

• Lead AI research and development, designing and implementing state-of-the-art machine learning and deep learning models.
• Apply advanced mathematical concepts (linear algebra, probability, discrete mathematics, statistics, and optimization) to AI model development.
• Develop cutting-edge AI algorithms for NLP, computer vision, generative AI, and bias detection.
• Optimize deep learning architectures (transformers, CNNs, RNNs, diffusion models) for accuracy and efficiency.
• Design scalable AI solutions with MLOps best practices, ensuring production-ready deployment.
• Work with large-scale datasets, handling preprocessing, feature engineering, and augmentation.
• Publish research papers and contribute to AI literature, staying at the forefront of innovation.
• Develop APIs and integrate AI models into real-world applications (FastAPI, Flask, Django).
• Mentor AI engineers, fostering a research-driven AI development culture.
• Utilize cloud computing (AWS, Azure, GCP) for scalable AI deployments.

• 5+ years of experience in AI/ML development with leadership responsibilities.
• Strong mathematical background, including:
• Linear algebra (matrix operations, eigenvalues, vector spaces)
• Probability and statistics (Bayesian inference, hypothesis testing)
• Discrete mathematics (graph theory, combinatorics)
• Optimization techniques (gradient descent, convex optimization)
• Expertise in Python, TensorFlow, PyTorch, and Scikit-learn.
• Deep knowledge of ML algorithms (transformers, GANs, reinforcement learning, LLM fine-tuning).
• Experience with research publications, case studies, or conference papers (NeurIPS, ICML, CVPR, ACL, etc.).
• Familiarity with vector databases (FAISS, Pinecone, Weaviate) and retrieval-augmented generation (RAG).
• Strong software engineering skills, including API development, CI/CD, and scalable AI infrastructure.
• Experience with Docker, Kubernetes, and cloud-based AI deployments.

• Performance bonus, Weekly 2 holidays, Over time allowance
• Salary Review: Half yearly
• Lead groundbreaking AI research and development.
• Work on large-scale AI projects with real-world impact.
• Competitive salary and opportunities for career growth.
• Fully remote work with flexibility.
• Collaborate with a world-class AI research team.