Machine Learning Engineer – Contract

Job not on LinkedIn

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🇺🇸 United States – Remote

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Tech Holding

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

Tech Holding is a global technology solution company that provides Professional Services, Managed Services, and Staffing Solutions. Specializing in digital transformation and business growth, the company leverages its extensive industry knowledge and technological expertise to assist businesses in navigating the digital landscape. Tech Holding is committed to optimizing business operations and supplying the necessary talent to help clients achieve strategic objectives, making them a trusted partner for leading companies worldwide.

📋 Description

• Design, train, and deploy ML models for text classification, entity extraction, clustering, and narrative 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 surface emerging threats • Productionize models as scalable, monitored services with clear latency, cost, and accuracy targets • Build evaluation frameworks and datasets to measure model quality, bias, and drift over time • Work with data engineering to improve ingestion, labeling, and feature pipelines for high-volume, noisy, multilingual text data • Monitor and retrain models in production, and debug quality issues end to end • Document approaches and share trade-offs clearly with technical and non-technical stakeholders • Work closely with data engineers, backend engineers, and product stakeholders as an individual contributor • Help build an AI-powered risk intelligence platform that enables enterprises to detect, assess, and respond to disinformation, reputational attacks, and security risks

🎯 Requirements

• 4+ years of professional experience building and deploying machine learning models in production • Strong Python skills and hands-on experience with PyTorch, TensorFlow, or Hugging Face Transformers • Practical NLP experience, such as classification, named entity recognition (NER), topic modeling, or semantic similarity on real-world text data • Hands-on experience building with LLMs (OpenAI, Anthropic, or open-source models), including prompt engineering and RAG • Experience with embeddings and vector search, such as pgvector, Pinecone, OpenSearch, or FAISS • Experience deploying and operating ML services on AWS, GCP, or Azure, using Docker and CI/CD • Solid grasp of model evaluation, including metrics, test sets, error analysis, and production monitoring • Strong communication skills and comfort working in a remote, cross-functional team • Applicants must be authorized to work for any employer in the U.S.; visa sponsorship is unavailable • Nice-to-have: experience with trust and safety, threat intelligence, disinformation research, or social media data • Nice-to-have: experience building agentic AI systems or tool-using LLM workflows, such as LangChain, LlamaIndex, or custom frameworks • Nice-to-have: experience with multilingual NLP • Nice-to-have: familiarity with MLOps tooling such as MLflow, SageMaker, Vertex AI, or Weights & Biases • Nice-to-have: experience with streaming or large-scale data processing, such as Kafka, Spark, or Airflow • Nice-to-have: experience fine-tuning LLMs with LoRA or PEFT or distilling models to reduce cost and latency

🏖️ Benefits

• Equal Opportunity Employer committed to fostering a diverse and inclusive workplace • Application process accommodations available upon request