Artificial Intelligence Researcher

HCLTech is looking for a highly talented and self- motivated Applied AI Researcher to join it in advancing the technological world through innovation and creativity.

Job Title: Applied AI Researcher

Job ID: 1917

Position Type: Fulltime

Location: Remote

Role/Responsibilities

1. Technical Vision & Research Strategy

* 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, real-time inference).

* Deep Learning & Modeling: Lead the team in designing, implementing, and optimizing advanced deep learning, generative AI, and reinforcement learning models from scratch, pushing the state-of-the-art for our domain.

* Academic Translation: Monitor academic research and industry trends to identify and quickly prototype cutting-edge techniques suitable for production deployment.

2. MLOps & Production Engineering

* MLOps Excellence: Establish and enforce best practices for Machine Learning Operations (MLOps), ensuring automation, reproducibility, version control, and CI/CD for all models.

* Architecture Review: Personally review and approve the technical architecture for all deployed AI systems, ensuring they meet strict criteria for scalability, low latency, and fault tolerance.

* Resource Optimization: Drive research into optimizing computational costs for large models, including strategies for model compression, quantization, and efficient hardware utilization.

3. Team Leadership & Technical Mentorship

* Lead Technical Talent: Recruit, mentor, and manage a high-performing team of Applied AI Scientists, Machine Learning Engineers, and Researchers.

* Culture of Rigor: Foster a technically demanding and research-driven culture, encouraging publication, patent filing, and open-source contributions.

* Code Quality: Ensure all core AI codebases adhere to the highest standards of quality, documentation, and maintainability.

Skills/Qualifications

* Hands-on experience in Machine Learning, Deep Learning, or AI Research, with a focus on building and deploying complex models and technical leadership experience managing a team of Data Scientists and ML Engineers.

* Expert-level proficiency in core ML frameworks (PyTorch, TensorFlow) and data science languages (Python/R).

* Experience building a commercial practice or product focused on Generative AI and Large Language Models (LLMs).

* Demonstrated expertise in at least two major AI domains (e.g., Deep Learning, NLP, Computer Vision).

* Proven track record of success in a client-facing or internal product-focused role, directly translating technical output into commercial results.

* Deep practical knowledge of MLOps principles and experience with cloud-native ML services (Google Cloud Vertex 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 related to applied AI.

* Extensive experience with distributed computing frameworks (Spark, Ray) for large-scale model training and inference.

* Proven ability to manage large-scale, complex AI initiatives end-to-end.

Pay and Benefits

Pay Range Minimum: $180,000 per year

Pay Range Maximum: $220,000 per year

HCLTech is an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law. Should any applicant have concerns about discrimination in the hiring process, they should provide a detailed report of those concerns to [email protected] for investigation.

A candidate’s pay within the range will depend on their skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year); and 10 paid holidays per year

How You’ll Grow

At HCLTech, we offer continuous opportunities for you to find your spark and grow with us. We want you to be happy and satisfied with your role and to really learn what type of work sparks your brilliance the best. Throughout your time with us, we offer transparent communication with senior-level employees, learning and career development programs at every level, and opportunities to experiment in different roles or even pivot industries. We believe that you should be in control of your career with unlimited opportunities to find the role that fits you best.