Senior Machine Learning & Generative AI Developer

Company: Qualcomm India Private LimitedJob Area: Information Technology Group, Information Technology Group > IT Data ScientistQualcomm Overview:Qualcomm is a company of inventors that unlocked 5G ushering in an age of rapid acceleration in connectivity and new possibilities that will transform industries, create jobs, and enrich lives. But this is just the beginning. It takes inventive minds with diverse skills, backgrounds, and cultures to transform 5G's potential into world-changing technologies and products.General Summary:We're looking for an experienced artificial intelligence engineer to join the revolution, using deep learning, neuro-linguistic programming (NLP), computer vision, chatbots, and robotics to help us improve various business outcomes and drive innovation. The engineer will join a multidisciplinary team helping to shape our AI strategy and showcasing the potential for AI through early-stage solutions. This is an excellent opportunity to take advantage of emerging trends and technologies and make a real-world difference.Minimum Qualifications:5 or more years of experience in applying AI and machine learning techniques to practical and comprehensive technology solutions.A strong background in machine learning, deep learning, and natural language processing.Expertise in ML, deep learning, TensorFlow, Python, NLP and Transformer architecture.Experience in deploying LLMs, embedding model/sentence transformers in production use cases.Thorough knowledge in basic algorithms, object-oriented and functional design principles, and best-practice patterns.Experience in REST API development, NoSQL database design, and RDBMS design.Experience in fine-tuning a large language model using custom content (documents, data, code).Experience working with large-scale datasets, preprocessing them, and creating appropriate data representations.Solid understanding of statistics, linear algebra, and probability theory.Responsibilities:Work on functional design, process design (including scenario design, flow mapping), prototyping, testing, training, and defining support procedures, in collaboration with an advanced engineering team and executive leadership.Fine-tune a large language model using custom content (documents, data, etc).Articulate and document the solutions architecture and lessons learned for each exploration and accelerated incubation.Serve as liaison between stakeholders and project teams, delivering feedback and enabling team members to make necessary changes in product performance or presentation.Preferred Qualifications:Bachelors/master's degree in computer science, Artificial Intelligence, Data Science, or a related field.Experience in implementing projects involving end to end ML/NLP systems from development to deployment.Experience with relevant machine learning/deep learning frameworks such as Pytorch.Experience with transformer-based models (e.g., BERT, GPT, T5, Llama).Experience working in a distributed team.Experience with cloud environments (GCP/AWS).Working knowledge of Rust is a plus.Applicants: If you need an accommodation during the application/hiring process, you may request an accommodation by sending an email to accommodationsupport.Qualcomm expects its employees to abide by all applicable policies and procedures regarding the protection of Company confidential information and other confidential and/or proprietary information.To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications, or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees, or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.If you would like more information about this role, please contact Qualcomm Careers.

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