SENIOR CONSULTANT (NLP DATA SCIENTIST)
WHO WE ARE
Apex 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. Thats 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 Senior Consultant with strong consultative skills to serve as a Data Scientist. The role is hands-on and intensely focused on developing advanced deep learning models for real-world Generative AI and NLP initiatives. As a NLP Data Scientist, you will be at the forefront of research and development, focusing on the design, implementation, and fine-tuning of NLP models.
RESPONSIBLITIES
\tContribute 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.
\tContribute the exploration and application of Large Language Models and Generative AI, venturing into new areas within these fields.
\tDevelop and maintain NLP pipelines for risk assessment, threat classification, named entity recognition, information retrieval, summarization etc.
\tOptimize models for running on embedded hardware or scaling model parallelization on the servers.
\tComprehensive knowledge and hands-on experience with fine-tuning approaches and training models.
\tPerform experiments and comparative analysis to evaluate the effectiveness of different model architectures and fine-tune hyperparameters for optimal performance.
\tOutstanding communication skills, both written and verbal, to effectively collaborate with internal teams and present solutions to clients.
\tDemonstrated ability to work in a client-facing capacity, understanding their needs and translating them into technical solutions.
JOB REQUIREMENTS
\tBachelor degree in machine learning or alternatively a comparable industry career, with significant experience on delivering products using innovative NLP technologies.
\t2+ years of hands-on technical experience with extensive background in deep learning networks using TensorFlow, Keras, Caffe, or similar.
\t4+ years of experience writing and deploying production quality models in languages such as Python.
\tExperience working with AWS SageMaker is needed and AWS Bedrock exposure is desired.
\tIn-depth experience in Natural Language Processing (NLP), with a particular emphasis on Large Language Models (LLMs) and Transformer architectures.
\tInnovator 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.
\tProficient knowledge of NLP techniques, including tokenization, language modeling, and embeddings.
\tExperience with distributed training and optimization techniques for large-scale machine learning models.
\tExperience in Python and/or C++ and CUDA is a must.
\tHaving participated in Kaggle or other DL competitions.
\tRelentlessly staying on top of the state-of-the-art NLP papers.
\tPublished research in the NLP field is highly desirable but not specifically required, indicating an ability to not only understand but also contribute to cutting-edge research.
\tHaving had to deploy a model with aggressive inference speed requirements.
\tOutstanding written and verbal communication skills.
OUR AWESOME BENEFITS:
\tCompetitive salary
\tHealth, Dental and Vision Insurance
\tLong and Short-Term Disability
\tLife Insurance
\tVacation and Holiday Pay
\t401k Retirement Plan
\tTraining and Advancement opportunities
\tTuition Reimbursement
\tBirthdays Off
\tPhilanthropic Opportunities
\tReferral Program
\tPartial Gym Membership Paid
\tTeam 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 or
Location: Anywhere
Posted: Sept. 2, 2024, 8:17 a.m.
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