Machine Learning and Prompt Engineering Specialist

Technology Partners is currently seeking a talented Machine Learning and Prompt Engineering Specialist.

Do you have experience in machine 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 in machine 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 of 2 years working with LLMs or generative AI.

ML Expertise

Advanced proficiency in Python and 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 of LLM 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 as OpenAI, Anthropic, or Cohere.

Published work or open-source contributions in ML or prompt design.

Familiarity with prompt tuning, few-shot learning, and Retrieval-Augmented Generation (RAG).

Experience with MLOps tools 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.

If this position sounds like you, WE SHOULD TALK!

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. #J-18808-Ljbffr