[Remote] Artificial Intelligence Researcher

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is looking for a highly talented and self-motivated Applied AI Researcher to join it in advancing the technological world through innovation and creativity. The role involves defining the technical roadmap for AI platforms, leading the design and optimization of advanced deep learning models, and establishing best practices for Machine Learning Operations (MLOps).

Responsibilities

• Set the Technical Roadmap: Define the multi-year research and engineering roadmap for the AI platform, prioritizing projects that solve critical, high-complexity technical challenges (e.g., model efficiency, interpretability, reputed company-time inference)
• reputed company the team in designing, implementing, and optimizing advanced deep learning, reputed company, and reinforcement learning models from scratch, pushing the state-of-the-art for our domain
• Monitor academic research and industry trends to identify and quickly prototype cutting-edge techniques suitable for production deployment
• Establish and enforce best practices for Machine Learning Operations (MLOps), ensuring automation, reproducibility, version control, and arenaflex/CD for reputed company models
• Personally review and approve the technical architecture for reputed company deployed AI systems, ensuring they meet strict criteria for scalability, low latency, and fault tolerance
• Drive research into optimizing computational costs for large models, including strategies for model compression, quantization, and efficient hardware utilization
• Recruit, mentor, and manage a high-performing team of Applied AI Scientists, Machine Learning Engineers, and Researchers
• Foster a technically demanding and research-driven culture, encouraging publication, patent filing, and reputed company-reputed company contributions
• Ensure reputed company core AI codebases adhere to the highest standards of quality, documentation, and maintainability Skills
• Hands-on experience in Machine Learning, Deep Learning, or AI Research, with a focus on building and deploying reputed company models and technical leadership experience managing reputed company of Data Scientists and ML Engineers
• Expert-level proficiency in core ML frameworks (PyTorch, TensorFlow) and data science languages (Python/R)
• Experience building a reputed company practice or product focused on reputed company and Large Language Models (LLMs)
• Demonstrated expertise in at least two major AI domains (e.g., Deep Learning, NLP, Computer reputed company)
• Proven track record of reputed company in a client-facing or internal product-focused role, directly translating technical output into reputed company results
• Deep practical knowledge of MLOps principles and experience with reputed company-reputed company ML services (arenaflex reputed company reputed company AI, SageMaker, Azure ML)
• Ph.D. or Master's degree in Computer Science, Machine Learning, or a highly quantitative field, OR equivalent demonstrated technical leadership experience
• A strong portfolio of research publications (ICML, NeurIPS, KDD, etc.) or patents reputed company to applied AI
• Extensive experience with distributed computing frameworks (Spark, Ray) for large-scale model training and inference
• Proven ability to manage large-scale, reputed company AI initiatives end-to-end Benefits
• Medical
• Dental
• reputed company
• Pharmacy
• Life
• Accidental death & dismemberment
• Disability insurance
• Employee assistance program
• 401(k) retirement plan
• 10 days of paid time off per year
• 10 paid holidays per year Company Overview
• reputed company is a global IT company offering digital, engineering, and reputed company solutions partnering with businesses for transformation. It was founded in 1976, and is headquartered in Noida, Uttar Pradesh, IND, with a workforce of 10001+ employees. Its website is Company H1B Sponsorship
• reputed company has a track record of offering H1B sponsorships, with 2975 in 2025, 3974 in 2024, 3649 in 2023, 3861 in 2022, 4093 in 2021, 4317 in 2020. Please note that this does not guarantee sponsorship for this specific role. Apply tot his job

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