AI Research Scientist

Job Summary: We are seeking an AI Research Scientist to conduct cutting-edge research in artificial intelligence and machine learning. The successful candidate will develop Client algorithms, publish research, build prototypes, and translate research into production-ready AI solutions. This role requires a strong foundation in mathematics, deep learning, and scientific research, with experience in areas such as generative AI, large language models (LLMs), computer vision, reinforcement learning, or multimodal AI.

Key Responsibilities: Conduct research in machine learning, deep learning, and artificial intelligence. Design and develop Client AI algorithms and model architectures. Build, train, fine-tune, and evaluate state-of-the-art AI models. Read, analyze, and implement research papers. Develop proof-of-concept (PoC) systems for emerging AI technologies. Publish research findings in conferences or journals (preferred).Collaborate with engineering teams to transition research into production. Evaluate model performance using appropriate benchmarks and metrics. Stay current with advancements in AI research and emerging technologies. Mentor junior researchers and engineers when appropriate.

Preferred Qualifications: Ph. D. with publications in leading AI conferences or journals. Experience training large-scale foundation models. Contributions to open-source AI projects. Familiarity with distributed machine learning and model optimization. Experience with AI benchmarking and reproducible research. Soft SkillsStrong research and analytical thinking. Scientific writing and documentation. Collaboration across multidisciplinary teams. Curiosity and continuous learning. Presentation and communication skills. Mentoring and knowledge sharing. Nice-to-Have SkillsMLOps and model deployment Explainable AI (XAI) Responsible AI and AI safety Federated learning Edge AIQuantum machine learning (research-oriented) Knowledge graph applications Vector databases and semantic search Common ToolsPyTorchTensorFlowHugging Face Weights & BiasesMLflowJupyter Notebook DockerGitHubLinuxCUDARayDeepSpeedCommon Interview Topics Machine learning fundamentals Deep learning architectures Transformer architecture and attention mechanismsLLMs and foundation models Optimization algorithms (SGD, Adam, AdamW) Probability and statistics Linear algebra Research paper discussion and implementation Model evaluation and benchmarking Reinforcement learning fundamentals Distributed training Python coding System design for AI research Scientific reasoning and experimental design Experience LevelsJunior Research Scientist (0-2 years) Master's degree or equivalent research experience. Strong academic projects in AI/ML.Familiarity with deep learning frameworks and research papers. Mid-Level Research Scientist (2-5 years) Published research or equivalent industry research experience. Experience designing and evaluating Client models. Ability to lead research initiatives and prototype AI systems.