| ML Engineer @ Sanjose, CA Remote is fine at Fine, New York, USA |
| Email: [email protected] |
| Hi, Hope youre doing great!! This is Sai Kiran from Neo Prism Inc. We have an Immediate hiring Job Opportunity. If you are interested and available for the Job, Please revert back with latest resume and other details required for submission to: [email protected]. ML Engineer Sanjose, CA Remote is fine 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. Full Name of the candidate (Legal name) : D.O.B Email ID : Contact Number / Alternate number if any: LinkedIn ID (Min 100 and Account creation date): Current Location with Zip code: Passport Number : SSN Last 4 Digits : US Entry Visa and Year of Entry : Work authorization Status with Expiry: Availability for WebEx/Telephonic Interview / Skype Id: Availability to join the project upon selection : Total Experience : Education Details including Passed out year : Expertise & Primary Skill Set : Rate : Reason for change : Currently on Project : Offers in Pipeline : Is this profile previously submitted for the Same Vendor/Implementation Partner/End Client Interview Availability for next two working days : Synopsys Professional Managers References: Name: Designation: Professional Email ID: Contact Number : LinkedIn : Client : Thanks & Regards, Sai Kiran | Engagement Executive, Neo Prism Solutions LLC, 8501 - Wade Blvd, Suite 550, Frisco, TX E mail: [email protected] | URL: www.neoprisminc.com Keywords: artificial intelligence machine learning database California Idaho Texas ML Engineer @ Sanjose, CA Remote is fine [email protected] |
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| Fri Apr 26 00:58:00 UTC 2024 |