[Remote] Gen AI / Machine Learning Engineer

Note: The job is a remote job and is open to candidates in USA. Precision Technologies is a company focused on cutting-edge technology solutions, and they are seeking a Generative AI / Machine Learning Engineer. The role involves designing, developing, and deploying machine learning and generative AI models for real-world applications while collaborating with cross-functional teams to ensure efficient integration into production systems.

Responsibilities

• Design, develop, and deploy machine learning and generative AI models for real-world applications
• Build and optimize solutions using large language models (LLMs) for tasks like text generation, summarization, and Q&A
• Develop and maintain end-to-end ML pipelines from data ingestion to model deployment
• Fine-tune pre-trained models using frameworks like Hugging Face Transformers
• Implement prompt engineering strategies to improve LLM outputs
• Work with vector databases for semantic search and retrieval-augmented generation (RAG)
• Integrate AI/ML models into scalable APIs and production systems
• Collaborate with data engineers to prepare and process large datasets
• Evaluate model performance and continuously improve accuracy and efficiency
• Deploy models using cloud platforms like AWS, Azure, or GCP
• Monitor models in production and handle model drift and retraining
• Ensure responsible AI practices including fairness, bias mitigation, and security
• Optimize models for latency, scalability, and cost
• Work closely with cross-functional teams including product managers and stakeholders
• Participate in Agile/Scrum development processes

Skills

• Design, develop, and deploy machine learning and generative AI models for real-world applications
• Build and optimize solutions using large language models (LLMs) for tasks like text generation, summarization, and Q&A
• Develop and maintain end-to-end ML pipelines from data ingestion to model deployment
• Fine-tune pre-trained models using frameworks like Hugging Face Transformers
• Implement prompt engineering strategies to improve LLM outputs
• Work with vector databases for semantic search and retrieval-augmented generation (RAG)
• Integrate AI/ML models into scalable APIs and production systems
• Collaborate with data engineers to prepare and process large datasets
• Evaluate model performance and continuously improve accuracy and efficiency
• Deploy models using cloud platforms like AWS, Azure, or GCP
• Monitor models in production and handle model drift and retraining
• Ensure responsible AI practices including fairness, bias mitigation, and security
• Optimize models for latency, scalability, and cost
• Work closely with cross-functional teams including product managers and stakeholders
• Participate in Agile/Scrum development processes

Benefits

• Location: United States — Onsite / Hybrid / Remote
• Employment Type: W2 · Full-time · All immigration statuses accepted

Company Overview

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