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Apex Systems

REMOTE: Lead Consultant (Data Scientist & Generative AI Engineer)

Apex Systems, Richmond, Virginia, United States, 23214


Job#: 2040320Job Description:LEAD CONSULTANT (DATA SCIENTIST & GENERATIVE AI ENGINEER)

Who We AreApex Systems is a leading global technology services firm that incorporates industry insights and experience to deliver solutions that fulfill our clients’ digital visions. We provide a continuum of services, including strategy and enablement, innovation and productivity, and technology foundations to drive better results and bring more value to our clients. Apex transforms our customers with modern enterprise solutions tailored to the industries we serve. Apex has a presence in over 70 markets across North America, Europe, and India. Apex is a part of the Commercial Segment of ASGN Incorporated (NYSE: ASGN). To learn more, visit www.apexsystems.com.At Apex Systems, we prioritize professional development, work-life balance, and fostering a collaborative culture. We value our teams' well-being and recognize the importance of building strong relationships. That's why we organize regular team-building events and philanthropic days to give back to the community - fostering a sense of purpose and fulfillment among our team.Join us for career advancement, innovative solutions, and a supportive environment focused on your success.Job Description

Apex is seeking a dynamic Lead Consultant with strong consultative skills to serve as a Data Scientist and Generative AI Engineer in the US & Canada practice within Apex Systems Solutions Delivery Organization. The role is hands-on and intensely focused on developing advanced deep learning models for real-world Generative AI and NLP initiatives. As an NLP Data Scientist, you will be at the forefront of research and development, focusing on the design, implementation, and fine-tuning of LLM models.RESPONSIBILITIES

Lead the exploration and application of Large Language Models and Generative AI, venturing into new areas within these fields.Fluent in Python and able to utilize off-the-shelf libraries and code as well as to alter and optimize them.Optimize models for running on embedded hardware or scaling model parallelization on the servers.Implement and deploy object detection using TensorFlow, PyTorch, Caffe, and other frameworks.Develop and maintain NLP pipelines for risk assessment, threat classification, named entity recognition, information retrieval, summarization, etc.Comprehensive knowledge and hands-on experience with fine-tuning approaches and training models.Lead and contribute to the design and implementation of NLP models and algorithms that can scale across diverse languages and dialects, taking into consideration the linguistic variations and complexities present in different language communities.Perform experiments and comparative analysis to evaluate the effectiveness of different model architectures and fine-tune hyperparameters for optimal performance.Outstanding communication skills, both written and verbal, to effectively collaborate with internal teams and present solutions to clients.Demonstrated ability to work in a client-facing capacity, understanding their needs and translating them into technical solutions.Job Requirements

6+ years of experience writing and deploying production-quality data science models in languages such as Python, including 2+ years of experience in building Generative AI applications.Hands-on technical experience with extensive background in deep learning networks using TensorFlow, Keras, Caffe, or similar.In-depth experience in Natural Language Processing (NLP), with a particular emphasis on Large Language Models (LLMs) and Transformer architectures.Strong innovator who understands the nuances of large language models and in-depth hands-on experience working with LLMs like GPT, LLAMA, BERT, Transformer-based architectures, or other (Generative Pre-trained Transformer) variants.Proficient knowledge of NLP techniques, including tokenization, language modeling, and embeddings.Strong experience in model fine-tuning and performance evaluation.Experience in developing Gen AI applications using LangChain or LlamaIndex Library.Familiarity with database management systems, such as Pinecone, Weaviate DB, vector search algorithms, and LLM embedding layers.Exposure to distributed training and optimization techniques for large-scale machine learning models and GPU accelerators (CUDA or similar).Preferred published research in the NLP field, indicating an ability to not only understand but also contribute to cutting-edge research.Experience in Python and SQL.OUR AWESOME BENEFITS:

Competitive salary.Health, Dental, and Vision Insurance.Long and Short-Term Disability.Life Insurance.Vacation and Holiday Pay.401k Retirement Plan.Training and Advancement opportunities.Tuition Reimbursement.Birthdays Off.Philanthropic Opportunities.Referral Program.Partial Gym Membership Paid.Team Building Events.EEO EmployerApex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at [email protected] or 844-463-6178.Apex Systems is a world-class IT services company that serves thousands of clients across the globe. When you join Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated's Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico.4400 Cox Road, Suite 200, Glen Allen, Virginia 23060.

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