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Data Scientist

3 months ago

Nashville, United States EPITEC Full time

Epitec


POSITION:

Data Scientist


JOB TYPE:

Full-time, W2, 12-month contract with ongoing need, hybrid work requirements in office 3 times weekly


LOCATION:

CHICAGO, PEORIA, DALLAS OR NASHVILE – Open to these locations for hybrid requirements


JOB SUMMARY FOR DATA SCIENTIST:


  • This position 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.
  • The Data Scientist - GenAI position will be working with the Emerging Technology team to explore the Generative AI Models and integrate them with traditional AI/ML workloads. Build the AI solution prototypes from ground up to accelerate the adoption. Evaluate various AI/ML /LLM models and map to valid use cases. Optimize the Inference / ML ops from cost and performance point of view.



RESPONSIBILITIES FOR DATA SCIENTIST:


  • This role will be part of the emerging technology team to construct the ML patterns/ reference patterns for digital platform.
  • 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.



REQUIRED EXPERIENCE FOR DATA SCIENTIST:


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



SKILLS AND QUALIFICATIONS FOR DATA SCIENTIST:


  • 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
  • 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 GPU’s
  • DESIRED: AI/ML certifications in AWS / AZURE / GenAI
  • Demonstrated leadership on medium to large-scale projects impacting strategic priorities, timelines, and goals. Must have strong communication skills and ability to coordinate with others.



Why should you choose Epitec?

We started Epitec with a single focus, “Placing People First.” Knowing every good endeavor begins with listening and understanding, we’ve set about challenging every part of the employment process. Bringing the proper connections together for the perfect fit.


How is Epitec different?

Epitec gets to know our prospective employees, using these insights to locate the perfect placement for you. We are there, every step of the way. Providing a best-in-class compensation package combined with the opportunity to grow financially and personally through your work.


What is the result?

Epitec represents the world’s top companies and works to fill their open jobs with the world’s best talent. That’s led to Epitec servicing an impressive list of Fortune 100 companies. We've also won many awards, including one of Crain’s Detroit Business “Cool Places to Work,” and 101 Best & Brightest – local, national and elite winner. And that’s just the beginning, as we work to innovate the way the world thinks about employment.