Machine Learning Engineer - San Jose, United States - Agile Datapro
Description
About the Job
Role: Machine Learning Engineer
Nature of engagement: Contract
Location: San Jose, CA (REMOTE)
Compensation / Rate: Commensurate to best Industry Standards
Primary Skills: Java, Scala, Python, Google Cloud, Biq Query, Hadoop & Spark
Job Description:
We are seeking a talented Machine Learning Engineer with expertise in software engineering to join our team. As a Machine Learning Engineer, your primary responsibility will be to develop machine learning (ML) solutions that focus on technology process improvements. Specifically, you will be working on projects involving ML & Generative AI solutions for Technology & Data Management Efficiencies such as optimal cloud computing, knowledge bots, Software Code Assistants, Automatic Data Management etc
Responsibilities:
Collaborate with cross-functional teams to identify opportunities for technology process improvements that can be solved using machine learning and generative AI.
Define and build innovate ML and Generative AI systems such as AI Assistants for varied SDLC tasks, and improve Data & Infrastructure management etc.
Design and develop ML Engineering Solutions, generative AI Applications & Fine-Tuning Large Language Models (LLMs) for above ensuring scalability, efficiency, and maintainability of such solutions.
Implement prompt engineering techniques to fine-tune and enhance LLMs for better performance and application-specific needs.
Stay abreast of the latest advancements in the field of Generative AI and actively contribute to the research and development of new ML & Generative AI Solutions.
Requirements:
A Master's or Ph.D. degree in Computer Science, Statistics, Data Science, or a related field.
Proven experience working as a Software Engineer, with a focus on ML Engineering and exposure to Generative AI Applications such as chatGPT.
Strong proficiency in programming languages such as Java, Scala, Python, Google Cloud, Biq Query, Hadoop & Spark etc
Solid knowledge of software engineering best practices, including version control systems (e.g., Git), code reviews, and testing methodologies.
Familiarity with large language models (LLMs), prompt engineering techniques, vector DB's, embedding & various fine-tuning techniques.
Strong communication skills to effectively collaborate and present findings to both technical and non-technical stakeholders.
Proven ability to adapt and learn new technologies and frameworks quickly.
A proactive mindset with a passion for continuous learning and research in the field of Generative AI.
If you are a skilled and innovative Data Scientist with a passion for Generative AI and have a desire to contribute to technology process improvements, we would love to hear from you. Join our team and help shape the future of our AI Driven Technology Solutions.
If you are interested to pursue the opportunity, please send your updated resume to along with your rate / salary information.