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Top Skills' Details

PLEASE REVIEW IN DETAILS AS CANDIDATES WILL NEED TO HAVE THE FOLLOWING SKILLS (NO EXCEPTIONS):

- Master's or PhD Preferred!

- 5-10+ years of experience in AI and machine learning, model building, evaluation, and fine-tuning.

- 2+ years of working knowledge of applying recent LLMs including ChatGPT, GPT 3.5, OPT, BLOOM, etc. UTILIZING RAG!

- Experience working directly with large language models and Transformer based architectures including BERT, RoBERTa, T5 etc.

- NLP Experience (Named Entity Recognition, Sentiment Analysis, Text Summarization)

- Experience with conversational search / semantic search, reinforcement learning, prompt engineering, hallucination mitigation

- DevOps repos Debugging, building APIs and managing the algorithm flow across multiple workstreams in one repo

- Senior level experience deploying models in the Cloud (AWS) or Azure as secondary.

Description

TEKsystems is partnered with a software company in Raleigh that needs to hire a Senior Data Scientist for their flagship product, our client is a leading global provider of information and analytics. Recently our client has focused on the general availability of their product for U.S. customers, a generative AI solution designed to transform legal work. Their product delivers trusted results in a familiar, easy-to-use interface with linked hallucination-free legal citations that combine the power of generative AI with proprietary search technology, Shepard’s® Citations functionality, and authoritative content.

The Senior Data Scientist will focus on search and be dedicated to the creation of next-generation AI and Machine Learning techniques and strategies for our client in their global expansion. This candidate will assist with deploying ethical, powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model for each individual legal use case. This approach includes working with large language models like Anthropic’s Claude 2, hosted on Amazon Bedrock from Amazon Web Services (AWS), and OpenAI’s GPT-4 and ChatGPT, hosted on Microsoft Azure.

ACCOUNTABILITIES

• Solve some of the most challenging problems in natural language processing, machine learning, and information retrieval including topical classification, sentiment analysis, user intent detection.

• Research, build, and deploy models based on both shallow and deep machine learning. Train robust NLP-based models a very large corpus of news and financial data.

• Apply machine learning techniques for improving search algorithms.

• Drive best practices for NLP/Machine Learning pipelines.

• Maintain current knowledge base of state-of-the-art ML algorithms (BERT, ELMo, GPT, etc.), API's, and open-source methods and be able to quickly evaluate alternatives.

• Translate complex business requirements into actionable stories with reasonable time estimates.

• Work with product leaders to apply data science solutions.

Strong coding skills in Python 7+ years

Be a natural problem solver, able to take a lead in collaborating to resolve issues

Proficiency in IDE debugging : VSCODE and PYCHARM

Have communication skills

5+ years of experience in AI and machine learning

Deep understanding of machine learning algorithms, classification models, diagnostic testing of models

Experience working directly and Transformer based architectures including BERT, RoBERTa, T5 etc. Nd familiarity with large language models and fine tuning

Experience with conversational search / semantic search, reinforcement learning, prompt engineering, hallucination mitigation

Working understanding of the business risks associated with applying LLM (LangChain) in a business

Experience working with AWS, RAG, SageMaker, SQL

Skills

data science, nlp, indexing, semantic search, conversational search, langchain, Generative AI, Large language model, Sql, aws, algorithm, artificial intelligence, Retrieval augmented generation, fine-tuning, Python, Machine learning, cloud computing

Top Skills Details

data science, nlp, indexing, semantic search, conversational search, langchain, Generative AI ,Large language model, sql, aws, algorithm, artificial intelligence, Retrieval augmented generation, fine-tuning

Additional Skills & Qualifications

N/A

Experience Level

Expert Level

Pay and Benefits

The pay range for this position is $50.00 - $85.00/hr.

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following:

• Medical, dental & vision • Critical Illness, Accident, and Hospital • 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available • Life Insurance (Voluntary Life & AD&D for the employee and dependents) • Short and long-term disability • Health Spending Account (HSA) • Transportation benefits • Employee Assistance Program • Time Off/Leave (PTO, Vacation or Sick Leave)

Workplace Type

This is a fully remote position.

Application Deadline

This position is anticipated to close on May 15, 2025.

About TEKsystems and TEKsystems Global Services

We’re a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We’re a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We’re strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We’re building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com.

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.