About this opportunity
TECHNOLOGY PARTNERS INC lists this Machine Learning and Prompt Engineering Specialist opportunity in st. louis, Missouri. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Technology Partners is currently seeking a talented Machine Learning and Prompt Engineering Specialist.
Do you have experience inmachine learning, large language models (LLMs), and prompt engineering for generative AI systems?
Let us help you make your next big career move a reality!
What You Will Be Doing:
You will design, train, and optimize AI and LLM-based systems to enhance reasoning, communication, and performance across multiple applications. This role blends expertise inmachine learning, NLP, and prompt engineering, shaping the cognitive and conversational behavior of intelligent systems. You will work collaboratively across teams to build, evaluate, and deploy scalable, safe, and ethical AI solutions.
Key Responsibilities:
Scenario and Persona Development: Accept requirements to define and build scenarios, and apply the appropriate persona and voice to models.
Multi-Mode Design: Design and develop multiple personas for a scenario to transition between training and coaching within each simulation.
Model Optimization: Develop and fine-tune Machine Learning (ML) models for generative tasks.
Prompt Design and Testing: Design and test prompts to maximize model performance across diverse use cases, analyzing model outputs and iterating on prompt strategies.
MLOps and Integration: Monitor, train, and improve model safety, fairness, and reliability across a scaled solution, and integrate models into applicable applications.
Collaboration: Collaborate with cross-functional teams (executives, product, design, and engineering) to integrate AI into products and manage configuration control.
Required Skills & Experience:
Experience:5+ years in ML or NLP roles.
Generative AI Experience:Minimum of2 years working with LLMs or generative AI.
ML Expertise:Advanced proficiency inPythonand ML libraries (e.g.,TensorFlow, PyTorch, scikit-learn).
Model Lifecycle:Strong grasp of supervised, unsupervised, and reinforcement learning, along with experience in model training, evaluation, and optimization.
Prompt Engineering Core:Deep understanding ofLLM behavior, tokenization, and context windows.
Prompt Strategy:Experience crafting effective prompts for tasks like summarization, classification, reasoning, and creative generation.
Ethical AI:Knowledge of safety, bias mitigation, and ethical considerations in prompt design.
Communication:Strong communication and documentation skills.
Desired Skills & Experience:
Experience with commercial LLM APIs such asOpenAI, Anthropic, or Cohere.
Published work or open-source contributions in ML or prompt design.
Familiarity with prompt tuning, few-shot learning, andRetrieval-Augmented Generation (RAG).
Experience withMLOpstools and workflows (e.g.,MLflow, Kubeflow).
Understanding of data preprocessing, feature engineering, and model interpretability.
Experience with experimentation,A/B testing, and user feedback loops.
Familiarity with cloud platforms (AWS, Azure, GCP) and deployment pipelines.
Ability to evaluate prompt performance and iterate based on output quality.
Pay:
$91.00 – $130.00 /hr.
We are interested in every qualified candidate who is eligible to work in the United States. However, we are not able to provide sponsorship at this time or accept candidates who would require a corp-to-corp agreement.
Your better future is ready, and we want to put the right tools in your hands to get you there. Let's go!
Keywords:
Machine Learning, ML, Prompt Engineering, Large Language Models, LLMs, Generative AI, NLP, Natural Language Processing, Python, PyTorch
Looking for more opportunities with Technology Partners? Check out technologypartners.net/jobs!
All offers of employment at Technology Partners are contingent upon clear results of a thorough background check and drug screening that meet corresponding laws and regulations at the city, state and federal level.
Pay ranges are influenced by candidate qualifications, experience, and role specifics, with the actual rate determined considering skills, market conditions, and are subject to change by the employer; pay negotiations follow all state and federal legal guidelines.
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Worksite address
st. louis, MO, 63146, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.