drjobs ML Engineer العربية

ML Engineer

Employer Active

drjobs

Job Alert

You will be updated with latest job alerts via email
Valid email field required
Send jobs
Send me jobs like this
drjobs

Job Alert

You will be updated with latest job alerts via email

Valid email field required
Send jobs
Job Location drjobs

San Jose - USA

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Job Description

About the Company
Our clients robust infrastructure and commitment to innovation it has become a trusted name in digital finance facilitating seamless transactions for individuals and businesses alike. Founded in 1998 Its global reach and userfriendly interface continue to redefine the way we engage in financial transactions online.
About the Job
Role: ML Engineer
Nature of engagement: Contract
Location: San Jose(C.A) (Onsite)
Compensation / Rate: Commensurate to best Industry Standards
Primary Skills: Java Scala Python

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 crossfunctional 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 & FineTuning Large Language Models (LLMs) for above ensuring scalability efficiency and maintainability of such solutions.
Implement prompt engineering techniques to finetune and enhance LLMs for better performance and applicationspecific 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 Masters 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 DBs embedding & various finetuning techniques.
Strong communication skills to effectively collaborate and present findings to both technical and nontechnical 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

Employment Type

Full Time

Company Industry

About Company

Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.