Machine Learning Engineer | Contract | Remote

About the Company

Tech Holding is a full-service consulting firm focused on delivering predictable outcomes and high-quality solutions to its clients. The company was founded on the combined industry experience of its founders and team members, who have held senior positions across organizations ranging from emerging startups to Fortune 50 companies.

Tech Holding follows an approach built on deep expertise, integrity, transparency, and dependability, with a focus on delivering reliable results for its clients.

About the Role

Tech Holding is seeking a hands-on Machine Learning Engineer for a project-based contract assignment to help develop an AI-powered risk intelligence platform. The platform enables enterprises to detect, assess, and respond to emerging online threats, including disinformation, reputational attacks, and security risks.

The role focuses on designing, building, and deploying Natural Language Processing (NLP) and Large Language Model (LLM)-based solutions that process large volumes of data from mainstream and niche online sources. The models and systems developed will contribute directly to the intelligence signals customers use to make decisions.

This is an individual contributor position involving close collaboration with data engineers, backend engineers, and product stakeholders.

Key Responsibilities

• Design, train, and deploy machine learning models for text classification, entity extraction, clustering, narrative detection, and topic detection.


• Build and improve LLM-powered features, including prompt design, Retrieval-Augmented Generation (RAG), and agentic workflows.


• Develop embedding and semantic search pipelines to group related content and identify emerging threats.


• Deploy models as scalable, monitored services with defined latency, cost, and accuracy targets.


• Build evaluation frameworks and datasets to measure model quality, bias, and performance drift over time.


• Collaborate with data engineering teams to improve data ingestion, labeling, and feature pipelines for high-volume, noisy, and multilingual text data.


• Monitor and retrain production models and troubleshoot model quality issues across the development lifecycle.


• Document technical approaches and communicate trade-offs clearly to technical and non-technical stakeholders.

Required Qualifications

• At least 4 years of professional experience building and deploying machine learning models in production environments.


• Strong Python programming skills.


• Hands-on experience with PyTorch, TensorFlow, or Hugging Face Transformers.


• Practical NLP experience involving classification, named entity recognition (NER), topic modeling, or semantic similarity using real-world text data.


• Experience building applications with LLMs, including OpenAI, Anthropic, or open-source models.


• Practical experience with prompt engineering and RAG.


• Experience with embeddings and vector search technologies such as pgvector, Pinecone, OpenSearch, or FAISS.


• Experience deploying and operating machine learning services on AWS, GCP, or Azure.


• Experience using Docker and CI/CD.


• Understanding of model evaluation, including metrics, test sets, error analysis, and production monitoring.


• Strong communication skills and the ability to work effectively in a remote, cross-functional team.

Preferred Qualifications

• Experience in trust and safety, threat intelligence, disinformation research, or social media data.


• Experience developing agentic AI systems or tool-using LLM workflows with LangChain, LlamaIndex, or custom frameworks.


• Experience with multilingual NLP.


• Familiarity with MLOps tools such as MLflow, SageMaker, Vertex AI, or Weights & Biases.


• Experience with streaming or large-scale data processing technologies such as Kafka, Spark, or Airflow.


• Experience fine-tuning LLMs using LoRA or PEFT, or distilling models to reduce cost and latency.

Work Arrangement

• Remote within the United States.


• Must work overlapping hours with US Eastern Time.

Employment Type

Contract.

Work Authorization

Applicants must be authorized to work for any employer in the United States. Tech Holding is unable to sponsor or take over sponsorship of employment visas at this time.

Equal Opportunity Employer

Tech Holding is an Equal Opportunity Employer committed to fostering a diverse and inclusive workplace. Qualified applicants are considered without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected characteristic. Applicants requiring accommodation during the application process may contact the company's HR team.