Envision Technology Solutions
Artificial Intelligence Engineer
Jersey City, New Jersey · Senior
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About the role
- Are you looking for an exciting opportunity to join a dynamic and growing team in a fast paced and challenging area?
- Your expertise in Python, PySpark, Knowledge Graphs, RAG, Vector stores, DL frameworks like TensorFlow, and MLOps will be crucial in this role.
Responsibilities
- You will be building production-grade AI, Agentic workflows, ML services, developing end-to-end AI/ML pipelines, and collaborating to develop large-scale data modelling experiments.
- Design, develop, and deploy state-of-the-art AI/ML/LLM/GenAI solutions to meet business objectives.
- Develop and maintain automated pipelines for model deployment, ensuring scalability, reliability, and efficiency.
- Implement optimization strategies to fine-tune generative models for specific NLP use cases, ensuring high-quality outputs in summarization and text generation.
- Conduct thorough evaluations of generative models (e.g., GPT-4.1), iterate on model architectures, and implement improvements to enhance overall performance in NLP applications.
- Implement monitoring mechanisms to track model performance in real-time and ensure model reliability.
- Stay informed about the latest trends and advancements in the latest AI/ML/LLM/GenAI research, implement cutting-edge techniques, and leverage external APIs for enhanced functionality.
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field
- Proficiency in programming languages like Python for model development, experimentation, and integration with OpenAI API.
- Experience with cloud computing platforms (e.g., AWS, Azure, or Google Cloud Platform), containerization technologies (e.g., Docker and Kubernetes), and microservices design, implementation, and performance optimization.
Skills
- This is a unique opportunity apply your skills and have a direct impact on global business.
This listing is sourced directly from Envision Technology Solutions's careers page and normalized into a canonical job model.