Essential Responsibilities:
- Lead the development and optimization of advanced machine learning models.
- Oversee the preprocessing and analysis of large datasets.
- Deploy and maintain ML solutions in production environments.
- Collaborate with cross-functional teams to integrate ML models into products and services.
- Monitor and evaluate the performance of deployed models, making necessary adjustments.
Minimum Qualifications:
- Minimum of 8 years of relevant work experience and a Bachelor's degree or equivalent experience.
About You
- 6+ years of experience in ML/AI engineering or applied science, with 1+ years in a tech lead or manager role driving projects to completion.
- Proven ability to lead teams while staying hands-on in coding, design, and technical problem-solving.
- Strong background in machine learning frameworks (e.g., PyTorch, TensorFlow, XGBoost, scikit-learn).
- Experience with agent frameworks and LLM-based systems (e.g., ReAct, AutoGPT, HuggingGPT, RAG), including evaluation and optimization.
- Skilled in Python and building production-quality systems using software engineering best practices.
- Excellent project execution and delivery skills — able to set direction, manage priorities, and keep teams on track.
- Strong communication and collaboration skills , with experience influencing cross-functional partners.
- Advanced degree ( Master’s or PhD ) in Computer Science, Engineering, or related field (or equivalent experience).
Our Benefits:
Any general requests for consideration of your skills, please