Leverage your expertise and join the dynamic team of a leading industry provider of electronic component data and parts management software in the electronics industry. They have been the go-to partner for thousands of electronic engineers, supply chain leaders, and procurement experts across Fortune 500 companies.
As Technical Lead ML & AI, you will lead the implementation of advanced AI systems throughout the complete machine learning lifecycle, including data preparation, model development, experimentation, deployment, monitoring, and continuous optimization. Your expertise will span machine learning, deep learning, neural networks, generative AI, intelligent automation, and large language models.
Key Accountabilities
- Lead the technical implementation of AI and machine learning initiatives aligned with the organization's AI strategy and roadmap.
- Translate product and AI leadership vision into scalable technical solutions.
- Drive engineering best practices, code quality, documentation, and software design across AI projects.
- Collaborate with AI leadership, product managers, software engineers, and data engineers to successfully deliver AI-powered products.
- Design, develop, and optimize machine learning, deep learning, and neural network models for real-world business applications.
- Build predictive models, recommendation systems, forecasting models, anomaly detection solutions, classification systems, and intelligent automation workflows.
- Fine-tune transformer models and other deep learning architectures using modern training techniques.
- Develop applications leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, semantic search, embeddings, and prompt engineering.
- Build intelligent workflows integrating LLMs with enterprise systems, vector databases, and external tools.
- Evaluate new AI technologies and recommend practical adoption opportunities.
- Deploy and maintain AI models in production environments.
- Ensure AI systems are reliable, secure, efficient, and maintainable.
- Mentor AI engineers and junior machine learning engineers through technical guidance, code reviews, and knowledge sharing.
- Promote engineering excellence, continuous learning, and adoption of modern AI development practices.
- Support technical interviews and onboarding of new team members.
- Stay current with emerging developments in artificial intelligence, machine learning, deep learning, and generative AI.
Knowledge, Skills, and Experience
We are looking for:
- 6+ years of experience developing and deploying production AI and machine learning solutions.
- Demonstrated experience leading the technical implementation of AI/ML projects.
- Deep hands-on experience developing and implementing machine learning solutions.
- Recent experience, within the last 2 years, taking at least one machine learning project from development through production deployment.
- Experience supervising, reviewing, or providing technical guidance on the work and code of colleagues, junior engineers, or other technical team members.
- Strong proficiency in Python and data science libraries including NumPy, pandas, scikit-learn, and related tools.
- Strong understanding of statistics, machine learning algorithms, feature engineering, and model evaluation.
- Strong knowledge of neural networks, transformer architectures, and modern deep learning techniques.
- Experience building applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and prompt engineering.
- Experience with NLP, document intelligence, semantic search, embeddings, information extraction, and named entity recognition.
Preferred Qualifications
- Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field is preferred.
- Experience deploying AI services using cloud platforms and modern software engineering practices.
- Familiarity with vector databases, search technologies, and MLOps practices.
