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data scientist at Remote, Remote, USA
Email: [email protected]
From:

Himanshu Yadav,

Innovyt

[email protected]

Reply to: [email protected]

Position :: Data Scientist

Location :: Hybrid (in office 2-3x times a week) / Chicago and Peoria, IL offices or Dallas, TX or Nashville TN
.

Duration :: 6+ Months

Positions Contributions to Work Group:

- Actual job title would be a Data scientist - GenAI you will lead all stages of AI development including refining product vision, gathering requirements, project planning, software system design, coding, testing, release, deployment and support analytical solutions.

Typical task breakdown:

Maintains high standards of software quality by establishing good practices and habits Identifies and encourage areas for growth and improvement

Communicate with end users and internal customers to help direct development, debugging, and testing of application software for accuracy, integrity, interoperability, and completeness

Performs integrated testing and customer acceptance testing of components that requires careful planning and execution to ensure timely, quality results.

Work environment: Hybrid Work model
.

Education & Experience Required:

Aleast 10 years of experience with Master's degree or PhD in Computer Science, Statistics, Mathematics, Data Science or other closely related field

Technical Skills

(Required)

5 years Production grade AI/ML Enterprise experience required.

PROFESSIONAL EXPERIENCE REQUIRED (not educational projects) 5 years or more of experience in designing and developing complex ML applications in Python

ML architectural patterns to deploy in Cloud ( AWS/ Azure / Snowflake)

Proven skills in ML Ops / Inference Optimization / ML in Container deployment.

Experienced in design, development, delivery of GenAI solutions with all necessary underlying components and integration.

Strong proficiency in machine learning frameworks, libraries, and methodologies such as GPT, GANs, TensorFlow, PyTorch, or similar

Experience with deep learning architectures and techniques

In-depth understanding of DevOps and MLOps

GenAI

Understanding of AI and GenAI domains, GenAI embeddings, and theoretical aspects

Work with RAG, vector stores, and semantic search

Experience with multimodal models

Strong understanding to building validation/Quality frameworks in GenAI Inference

LLM Model fine tuning and deployment

Optimization of GPUs

DESIRED:

AI/ML certifications in AWS / AZURE / GenAI

Soft Skills

(Required)

Demonstrated leadership on medium to large-scale projects impacting strategic priorities.

Ability to cope with shifting priorities, demands and timelines through analytical and problem-solving skills.

Ability to effectively prioritize, delegate responsibilities and execute tasks in a high-pressure environment.

Ability to work under pressure and within time constraints

Passion for technology and an eagerness to contribute to a team-oriented environment
.

Keywords: artificial intelligence machine learning trade national Illinois Tennessee Texas
data scientist
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Mon Aug 12 22:57:00 UTC 2024

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