What are the responsibilities and job description for the ML/AI Engineer position at Tek Target USA?
Job Details
Position: ML/AI Engineer
Location: 3 times a week in Jersey city, NJ
Responsibilities include:
- LLM Deployment and Optimization:
- Leverage your expertise in working with and deploying Large Language Models (LLMs) to enhance natural language understanding and generation capabilities.
- Collaborate with data scientists and engineers to fine-tune LLMs for specific supply chain use cases.
- Lead efforts around finetuning strategy, training and validation data processes, prioritization of new capabilities for existing models
- Software R&D:
- Drive research and development efforts to create innovative AI solutions.
- Stay up to date with the latest advancements in AI, machine learning, and natural language processing and help bring these innovative solutions into our tools and products.
- AI Modeling and Training:
- Design, implement, and evaluate AI models for supply chain applications.
- Explore novel modeling approaches and training strategies to improve performance.
- Supply Chain Domain Expertise:
- Apply your deep understanding of supply chain processes, logistics, and inventory management.
- Translate business requirements into AI solutions that optimize supply chain operations.
- B2B SaaS Products:
- Collaborate with product managers and engineers to integrate AI capabilities into our B2B SaaS products.
- Ensure seamless integration and scalability of AI features for our enterprise customers.
Qualifications:
- Advanced Degree: Master s or Ph.D. in Computer Science, Artificial Intelligence, Supply Chain or related field.
- Experience: Demonstrable hands-on experience in AI research, development, and deployment. Experience leading fellow AI/ML Engineers, teams, and projects.
- Technical Skills:
- Proficiency in Python, TensorFlow, PyTorch, or other deep learning frameworks.
- Strong knowledge of natural language processing (NLP) techniques.
- Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud Platform) for model deployment.
- Domain Expertise:
- Previous work in supply chain optimization or related fields is highly desirable.
- Understanding of logistics, demand forecasting, and inventory management.
- Collaborative Mindset:
- Excellent communication skills and ability to work effectively in cross-functional teams.
- Passion for solving complex problems using AI.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
