Qualcomm GenAI ML Engineer Sr 

United States, California, San Diego 

822534781

Job Area:

Information Technology Group, Information Technology Group > IT Data Scientist

Principal Duties and Responsibilities:

· Develop and implement GenAI, statistical models and machine learning algorithms to analyze diverse sources of data, ensuring they meet business requirements and are delivered on time.

· Develop and Maintain AI Pipelines: Ensure smooth operation of data and model training pipelines, and troubleshoot any issues that arise

· Tune and Optimize Models: Adjust and refine pre-existing generative AI models to enhance performance, adapt to new data, or meet specific project requirements.

· Use state-of-the-art methods to interpret and analyze data from multiple angles, identify patterns, trends, and insights.

· Build predictive models and machine-learning algorithms to forecast future trends and outcomes.

· Design and implement APIs for exposing data and models, ensuring they adhere to best practices in software engineering.

· Stay abreast of the latest AI research and technologies, evaluating and adopting them to maintain our competitive edge.

· Communicate complex AI concepts to non-technical stakeholders, facilitating informed decision-making.

Minimum Qualifications:

· Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 2+ years of Software Engineering, Systems Engineering, or related work experience.

· Minimum of 2 years of experience in AI/ML technologies and 1 year of GenAI experience.

· Advanced skills in Generative Models: Knowledge of models, fine-tuning foundation models like GPT-4, and understanding their architecture, training processes, and applications

· Natural Language Processing (NLP): A strong understanding of NLP to work with text generation and analysis.

· Proven track record of developing AI solutions and deploying to production environment.

· Deep understanding of AI/ML algorithms, data structures, and software engineering principles.

· Expertise with at least one cloud computing platforms (e.g., AWS, Azure, Google Cloud).

· Proficiency in Python, SQL and NoSQL databases. Familiarity with machine learning frameworks (like Keras, PyTorch, TensorFlow) and libraries (like scikit-learn).

· Excellent communication skills, with the ability to articulate technical concepts to a variety of audiences.

· Ability to thrive in a fast-paced and dynamic environment.

Preferred Qualifications:

· Advanced degree (MS) in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or related quantitative field.

· Cloud Certified – Azure/AWS/GCP

· Strong debugging and analysis skills, for root causing complex issues.

· A minimum of 4 years of experience in data science, data analytics, or related field.

· Strong knowledge of statistics and experience using statistical packages for analyzing datasets.

· Understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, CNN, Vision Transformers and LLMs etc.

· Experience in designing and implementing APIs for data engineering and models training and deployment pipelines.

· Experience working within large global matrix organizations.

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

Pay range:

$52.55 - $78.83