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Artificial Intelligence Architect
3 weeks ago
Job Description:
We are seeking a talented and experienced AI/ML Architect to join our Enterprise Architectural Business Consulting Company. As an AI/ML Architect, you will be responsible for designing, implementing, and deploying cutting-edge artificial intelligence and machine learning solutions for our clients across various industries. You will work closely with our team of architects, engineers, and consultants to deliver innovative AI/ML strategies that drive business value and competitive advantage.
Responsibilities:
- Collaborate with clients to understand their business objectives, challenges, and opportunities for leveraging AI/ML technologies.
- Design end-to-end AI/ML solutions that address complex business problems and deliver tangible results.
- Develop architecture blueprints, technical designs, and implementation plans for AI/ML projects.
- Lead the implementation and deployment of AI/ML models and algorithms, ensuring scalability, reliability, and performance.
- Evaluate and select appropriate AI/ML technologies, frameworks, and tools based on project requirements and industry best practices.
- Provide technical guidance and leadership to cross-functional teams throughout the project lifecycle.
- Stay current with the latest advancements in AI/ML research, methodologies, and tools, and incorporate them into our solution offerings.
- Collaborate with sales and marketing teams to develop AI/ML service offerings, proposals, and presentations for prospective clients.
- Participate in pre-sales activities, including client meetings, workshops, and demonstrations to showcase our AI/ML capabilities.
- Mentor and coach junior members of the team, fostering a culture of continuous learning and innovation.
Qualifications:
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field; advanced degree (Master’s or Ph.D.) preferred.
- Proven experience (5+ years) designing and implementing AI/ML solutions in a consulting or enterprise environment.
- Strong understanding of machine learning algorithms, deep learning frameworks, and statistical modeling techniques.
- Hands-on experience with popular AI/ML libraries and tools such as TensorFlow, PyTorch, scikit-learn, etc.
- Proficiency in programming languages such as Python, R, Java, or Scala.
- Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and related AI/ML services.
- Excellent problem-solving skills and the ability to translate business requirements into technical solutions.
- Strong communication and presentation skills, with the ability to interact effectively with clients and internal stakeholders.
- Proven leadership skills and the ability to mentor and coach junior team members.
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