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Lead ML Engineer
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Lead ML Engineer
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Lead ML Engineer

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1 Vacancy
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Job Location drjobs

Austin - USA

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Hello

We are from Mavinsys Talent Acquisition team based on One World Trade Centre New York. We are specializing in IT services and staffing majorly in lateral hiring/contract. Below is one of our requirement to fill immediately if youre interested please share your candidature to

Job Title: Lead ML Engineer

Location: Austin TX San Jose CA

Duration: 12months

Job Description;

Collaborate with crossfunctional teams such as Data Scientists Core Development Team and Partner Team Developers to identify

requirements and orchestrate development work across teams(s) by contributing to design development and testing.

Design and develop Engineering Solutions & generative AI Applications for above ensuring scalability efficiency and maintainability of

such solutions.

Assit for Product Roadmap creation & define product requirements.

Assist for adoption and promption of the platform such as conducting open office hours whitegloving team(s)onboarding etc

Write clean highperformance highquality maintainable code.

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 Application Development and actively contribute to the research and

development of new Generative AI Applications.

Requirements:

A Masters or Ph.D. degree in Computer Science or a related field.

Proven experience working for a startup or Product leading development and adoption of the product or a platform.

Strong proficiency in programming languages such as Java Python ML Platforms LLMs Machine Learning etc.

Experience in development of technical product or platform for large enterprises.

Solid knowledge of software engineering best practices including version control systems (e.g. Git) code reviews and testing

methodologies.

Experience with large language models (LLMs) & prompt engineering techniques vector DBs

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.

Strong proficiency in programming languages such as Java, Python, ML Platorms, LLMs, Machine Learning etc

Employment Type

Full Time

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