Top Skills' Details

PLEASE REVIEW IN DETAILS AS CANDIDATES WILL NEED TO HAVE THE FOLLOWING SKILLS

• Master's or PhD Preferred!

• 5-10+ years of experience in AI and machine learning, model building and strong coding skills in python (interview will have python coding assessments)

• 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.

• 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.

• Knowledge of AWS services (EMR, S3, OpenSearch etc.) and AWS DevOps

• Familiarity with CI/CD best practices and experience with Jenkins, Git, and Azure DevOps

Nice to have:

• FANG Experience (Facebook, Amazon, Netflix, Google, or even Microsoft)

• Experience with EKS and Helm Charts.

Description:

TEKsystems is partnered with a software company in Raleigh that needs to hire AI / MLOps Engineers for their flagship product, LexisNexis® Legal & Professional, a leading global provider of information and analytics. Recently LexisNexis has focused on the general availability of Lexis+ AI™ for U.S. customers, a generative AI solution designed to transform legal work. Lexis+ AI 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 LexisNexis search technology, Shepard’s® Citations functionality, and authoritative content.

The Senior Engineer will be dedicated to the creation of next-generation AI and Machine Learning techniques and strategies for LexisNexis 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.

7+ years of professional experience in MLOps or AI engineering.

Proven expertise in deploying machine learning models on GPUs.

Strong knowledge of NLP techniques and model fine-tuning.

Proficiency in Python with strong database management skills.

Hands-on experience with AWS SageMaker and EKS.

Experience in designing and implementing CI/CD pipelines.

Familiarity with Retrieval-Augmented Generation (RAG) techniques.

Excellent problem-solving skills and attention to detail.

Strong communication and leadership abilities.

Preferred Qualifications:

Previous experience in a senior or lead engineer role.

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, Cloud, Kubernetes, 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, Cloud, Kubernetes

Additional Skills & Qualifications:

N/A

Experience Level:

Expert Level

About TEKsystems:

We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.

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