GenAI, Machine Learning, Python Engineer

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Logo of Hudson IT and Manpower

Hudson IT and Manpower

11 - 50 employees

Founded 2019

💼 Consulting

🏗️ Construction

📦 Logistics

Consulting • Construction • Logistics

Hudson IT and Manpower is a dynamic company providing a range of services including IT staffing, software solutions, and comprehensive recruitment services for the energy, construction, and various technical industries. Specializing in digital interactive solutions, their expertise encompasses application development, cloud services, cybersecurity, and more, aimed at empowering businesses to achieve greater efficiency and growth. With a commitment to quality and innovative practices, Hudson IT and Manpower is dedicated to sourcing top talent and delivering custom software tailored to the unique needs of their clients, ensuring seamless integration and sustainable success.

📋 Description

• Develop, test, and maintain Machine Learning and AI solutions using Python • Build and integrate Generative AI and LLM-based applications • Work with structured and unstructured data to identify patterns and generate insights • Develop and optimize ML models for real-world business applications • Implement data preprocessing, feature engineering, model training, evaluation, and optimization • Work with LLM APIs, prompt engineering, embeddings, and AI/ML frameworks • Develop or support Retrieval-Augmented Generation (RAG) solutions where applicable • Collaborate with engineering, data, and business teams to understand requirements and deliver AI-driven solutions • Deploy and monitor AI/ML applications in development or production environments • Document technical solutions, methodologies, and model performance

🎯 Requirements

• 2–6 years of professional experience in Machine Learning, Data Science, Artificial Intelligence, GenAI, or a closely related field • Strong programming experience with Python • Solid understanding of Machine Learning concepts and algorithms • Hands-on experience developing and evaluating Machine Learning models • Experience with data preprocessing, feature engineering, and exploratory data analysis • Strong understanding of SQL and data manipulation • Experience with Pandas, NumPy, Scikit-learn, or similar Python libraries • Familiarity with PyTorch, TensorFlow, or Hugging Face is preferred • Hands-on experience with Generative AI and Large Language Models (LLMs) is highly preferred • Experience with prompt engineering, Retrieval-Augmented Generation (RAG), vector databases, LangChain/LlamaIndex, LLM APIs, embeddings, semantic search, NLP, Transformer architectures, fine-tuning, or AI agents is highly preferred • AWS, Azure, or GCP experience is nice to have • Docker, REST APIs, microservices, CI/CD, Kubernetes, and MLOps experience is nice to have • Strong analytical and problem-solving skills • Ability to work effectively in a collaborative team environment • Eligible work authorization: US Citizen, Green Card holder, or H4 EAD holder • Must be willing to relocate anywhere within the United States • Must be willing to work on a W2 basis; no C2C or 1099 arrangements

🏖️ Benefits

• W2 employment • Relocation opportunity anywhere in the United States • Opportunity to contribute to production-focused AI/ML solutions

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