Senior Machine Learning Solutions Architect
2 days ago
ValueLabs is seeking a highly skilled Senior Machine Learning Solutions Architect to lead the development of scalable AI and ML systems.
About the Role:
We are looking for an experienced professional with a strong background in machine learning, deep learning, and natural language processing. The ideal candidate will have a proven track record of designing and developing complex AI and ML systems and have experience working with cloud-based platforms such as AWS, Google Cloud, and Azure.
Key Responsibilities:
- Lead the design and development of AI and ML systems: Collaborate with cross-functional teams to identify business requirements and develop solutions that meet those needs.
- Develop and maintain expertise: Stay up-to-date with the latest advancements in machine learning, deep learning, and natural language processing and apply that knowledge to improve existing systems and develop new ones.
- Work closely with stakeholders: Communicate effectively with technical and non-technical stakeholders to ensure that solutions meet business needs and are aligned with company goals.
- Mentor and coach junior team members: Share knowledge and expertise to help junior team members grow and develop their skills.
Requirements:
- Master's or Ph.D. in Computer Science, AI, ML, or related field: A degree from a reputable institution in a relevant field is required.
- 7+ years of experience in AI and ML development, architecture, and leadership: A strong track record of delivering complex projects and leading teams is essential.
- Proven track record of designing and developing scalable AI and ML systems: Experience with cloud-based platforms and a strong understanding of machine learning, deep learning, and natural language processing are must-haves.
- Strong leadership and communication skills: Ability to work effectively with cross-functional teams and communicate complex ideas to both technical and non-technical stakeholders.
Salary:$175,000 - $225,000 per year
Benefits: We offer a comprehensive benefits package, including medical, dental, and vision insurance, 401(k) matching, and paid time off.
Location: This role is based in our office in [location], but we are open to remote work arrangements.
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