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11 d.kraft Jobs
Lead AI Engineer
d.kraft
posted 3+ weeks ago
Job Role Insights
Key skills for the job
Job Description
- Lead the development and implementation of AI strategies and initiatives to address business challenges and opportunities.
- Architect scalable and efficient AI systems and algorithms that leverage machine learning, deep learning, natural language processing, computer vision, and other AI techniques.
- Conduct research and experimentation to explore new AI technologies, methodologies, and approaches that can enhance our products and services.
- Collaborate with product management, engineering, and other stakeholders to define AI requirements, prioritize projects, and deliver high-quality solutions on time and within budget.
- Provide technical leadership and mentorship to the AI engineering team, fostering a culture of innovation, collaboration, and continuous learning.
- Stay current with the latest advancements in AI research, tools, and techniques, and evaluate their potential impact on our business and industry.
- Drive innovation by identifying opportunities for applying AI technologies to solve complex problems and create new opportunities for growth and differentiation.
- Work closely with customers and partners to understand their AI needs and requirements, and collaborate on customizing and integrating AI solutions to meet their specific needs.
- Participate in industry conferences, seminars, and forums to share insights, best practices, and thought leadership in the field of AI.
- Bachelors degree in computer science, engineering, mathematics, or related field; advanced degree (Masters or Ph.D.) preferred.
- Minimum of 6 years of experience in AI research, development, and engineering, with a proven track record of leading AI projects from concept to production.
- Expertise in machine learning, deep learning, reinforcement learning, natural language processing, computer vision, or related AI disciplines.
- Strong programming skills in Python, Java, C++, or other relevant languages, and experience with AI frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, or Keras.
- Experience with cloud computing platforms (e.g., AWS, Azure, GCP) and distributed computing technologies (e.g., Spark/Hadoop/Kubernetes) for developing and deploying AI applications at scale.
- Solid understanding of software engineering principles, algorithms, data structures, and object-oriented design, with experience in building scalable and maintainable software systems.
- Excellent communication skills with the ability to effectively communicate complex technical concepts to both technical and non-technical audiences.
- Strong analytical and problem-solving skills, with a passion for innovation and a desire to push the boundaries of what is possible with AI technology.
- Competitive salary
- Comprehensive health, dental, and vision insurance
- Retirement savings plan with employer match
- Flexible work schedule and remote work options
- Professional development opportunities
- Collaborative and inclusive work environment
Employment Type: Full Time, Permanent
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