Note: The job is a remote job and is open to candidates in USA. Hudson IT and Manpower is seeking a GenAI, Machine Learning, and Python Engineer to join a growing technology team. The role focuses on developing production-oriented AI and machine learning solutions, including Generative AI and LLM applications, while collaborating with engineering, data, and business teams. Responsibilities include data preparation, model development and optimization, deployment, monitoring, and technical documentation.
Responsibilities
- 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
Skills
- * **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 working with data preprocessing, feature engineering, and exploratory data analysis
- * Strong understanding of **SQL** and data manipulation
- * Experience with commonly used Python libraries such as **Pandas, NumPy, Scikit-learn**, or similar
- * Strong analytical and problem-solving skills
- * Ability to work effectively in a collaborative team environment
- * **US Citizens (USC)**
- * **Green Card holders**
- * **H4 EAD holders**
- * Must have **2–6 years of relevant professional experience**
- * Must be willing to **relocate anywhere within the United States**
- * Must be willing to work on a **W2 basis**
- * Generative AI and **Large Language Models (LLMs)**
- * Prompt Engineering
- * Retrieval-Augmented Generation (**RAG**)
- * Vector databases such as Pinecone, FAISS, Chroma, Weaviate, or similar
- * LangChain, LlamaIndex, or comparable GenAI frameworks
- * LLM APIs such as OpenAI, Azure OpenAI, Gemini, Claude, Llama, or similar
- * Embeddings and semantic search
- * NLP and Transformer architectures
- * Fine-tuning or model customization
- * AI agents / Agentic AI
- * Experience with **AWS, Azure, or GCP**
- * Docker and containerization
- * REST APIs and microservices
- * CI/CD
- * Kubernetes
- * ML deployment and monitoring / MLOps
- * Familiarity with AI/ML frameworks such as **PyTorch, TensorFlow, or Hugging Face** is preferred
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