We Love AI JobsGen AI / Machine Learning Engineer
Precision TechnologiesJoin Precision Technologies as a Generative AI / Machine Learning Engineer, where you'll work on cutting-edge machine learning models and solutions in a collaborative environment. This role offers a mix of remote, hybrid, and onsite opportunities, allowing you to impact real-world applications while working closely with cross-functional teams.
Skills & Expertise
Key Responsibilities
Design, develop, and deploy machine learning and generative AI models.
Build and optimize solutions using large language models for various tasks.
Integrate AI/ML models into scalable APIs and production systems.
Full Description
Job Title: Generative AI / Machine Learning Engineer
Location: United States — Onsite / Hybrid / Remote
Employment Type: W2 · Full-time · All immigration statuses accepted
Key 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.
Sujith Kumar Pappu, Talent Management Team