Top Skills' Details 2+ years of experience in applied data science or machine learning. At least 1 year of direct, hands-on experience developing or deploying LLMs or Generative AI systems. Demonstrated experience with working with MLOps engineers to deploying, monitoring, and maintaining production ML models using cloud platforms. Description We are seeking a Data Scientist with strong expertise in Machine Learning (ML) and Generative AI (LLMs) to design, develop, and deploy intelligent, data-driven solutions within a modern cloud environment. This role involves close collaboration with data engineers and business stakeholders to build and operationalize production-grade AI systems using AWS and cutting-edge LLM frameworks. Core Responsibilities Design, develop, and deploy machine learning and generative AI models to address complex business challenges and enhance decision-making. Implement Retrieval-Augmented Generation (RAG) and semantic search pipelines that integrate large language models with enterprise data sources. Apply prompt engineering, embedding techniques, and model fine-tuning using frameworks such as LangChain, LlamaIndex, and Hugging Face Transformers. Collaborate with engineering teams to ensure scalable data ingestion, ETL/ELT workflows, and model deployment across cloud environments. Communicate technical insights and analytical results clearly to both technical and non-technical audiences. Contribute to Agile development processes and maintain code through Git/GitHub, CI/CD automation, and infrastructure-as-code (CloudFormation or equivalent). Preferred Qualifications 2+ years of hands-on experience with Large Language Models (LLMs) or Generative AI, such as GPT, Claude, Llama, or Mistral. Proficiency in Python and key libraries including pandas, NumPy, scikit-learn, PyTorch, and TensorFlow. Experience implementing RAG architectures, vector databases (e.g., Pinecone, FAISS, Weaviate), or LLM orchestration frameworks (e.g., LangChain, Semantic Kernel, CrewAI, LangGraph). Practical experience working with AWS services (SageMaker, Lambda, S3, RDS, etc.). Strong foundation in statistics, linear algebra, and optimization for model design and evaluation. Experience creating insightful data visualizations using Tableau, Power BI, Plotly, or matplotlib. Familiarity with big data technologies such as Spark, Databricks, or Snowflake. Deep understanding of machine learning algorithms, data preprocessing, and model evaluation techniques. Strong problem-solving abilities with a focus on reproducibility, scalability, and model governance. Excellent communication skills, with the ability to translate complex analytical findings into actionable business insights. Demonstrated curiosity and enthusiasm for staying current with advances in AI, Generative AI, and ML infrastructure. Proven ability to work effectively in Agile and cross-functional team environments. Education Bachelors or Masters degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative discipline. Experience 2+ years of experience in applied data science or machine learning. At least 1 year of direct, hands-on experience developing or deploying LLMs or Generative AI systems. Demonstrated experience with working with MLOps engineers to deploying, monitoring, and maintaining production ML models using cloud platforms. Nice to Have Experience with multi-agent orchestration frameworks (e.g., LangGraph, CrewAI, AutoGen). Knowledge of energy market data, time-series forecasting, or optimization modeling. Familiarity with reinforcement learning, probabilistic modeling, or stochastic optimization techniques. Skills Python, Gen AI, LLM Top Skills Details Python,Gen AI,LLM Additional Skills & Qualifications strong comm skills Experience Level Intermediate Level Job Type & Location This is a Contract position based out of Juno Beach, FL. Pay and Benefits The pay range for this position is $45.00 - $60.00/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 onsite position in Juno Beach,FL. Application Deadline This position is anticipated to close on Apr 3, 2026. h4>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. About TEKsystems and TEKsystems Global Services Were 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. Were 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. Were strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. Were 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.

The role requires at least two years of experience in applied data science or machine learning. A minimum of one year of direct, hands-on experience developing or deploying LLMs or Generative AI systems is necessary. Demonstrated experience working with MLOps engineers to deploy, monitor, and maintain production ML models using cloud platforms is also required. Proficiency in Python and key libraries such as pandas, NumPy, scikit-learn, PyTorch, and TensorFlow is essential. Experience implementing RAG architectures, vector databases, or LLM orchestration frameworks is preferred. A Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative discipline is required.