Job Description
We are seeking a highly skilled and innovative Lead AI Developer to lead our AI/ML initiatives. The ideal candidate will have a deep understanding of artificial intelligence and machine learning concepts, along with strong technical skills and a passion for building cutting-edge solutions.
Responsibilities:
- Technical Leadership:
- Lead a team of AI/ML engineers and data scientists.
- Mentor and guide team members, fostering a culture of innovation and continuous learning.
- Oversee the entire AI/ML development lifecycle, from research and prototyping to deployment and maintenance.
- AI/ML Development:
- Design, develop, and deploy advanced AI/ML models and algorithms.
- Work with large datasets to extract meaningful insights and patterns.
- Explore and implement cutting-edge AI techniques, such as deep learning, natural language processing, and computer vision.
- Problem-Solving:
- Identify and address complex technical challenges.
- Collaborate with cross-functional teams to define and solve business problems using AI/ML solutions.
- Innovation:
- Stay up-to-date with the latest advancements in AI/ML and industry trends.
- Drive innovation by proposing and implementing new AI/ML initiatives.
- Collaboration:
- Effectively communicate technical concepts to both technical and non-technical stakeholders.
- Collaborate with product managers, data engineers, and other team members to deliver high-quality solutions.
Qualifications:
- Advanced degree in Computer Science, Engineering, or a related field.
- 5+ years of experience in AI/ML development.
- Strong proficiency in Python and relevant AI/ML libraries (TensorFlow, PyTorch, Scikit-learn, etc.).
- Experience with cloud platforms (AWS, GCP, Azure).
- In-depth knowledge of machine learning algorithms and techniques.
- Strong problem-solving and analytical skills.
- Excellent communication and leadership skills.
Preferred Qualifications:
- Experience with deep learning frameworks and architectures.
- Knowledge of MLOps and CI/CD pipelines.
- Publication record in top-tier AI/ML conferences or journals.
- Experience with specific AI/ML domains (e.g., NLP, computer vision, reinforcement learning).
