Why this role stands out
As an AI/ML Architect at CloudBCLabs, you'll drive cutting-edge AI/ML solutions within a hybrid work environment, offering significant opportunities for technical leadership and career growth. This role is ideal for experienced architects with a proven track record in implementing AI/ML in cloud environments who are eager to shape enterprise-level technology strategies. Embrace this chance to make a substantial impact and advance your career in a dynamic tech landscape.
Quick overview
Job description
Role: AI/ML Architect
Location: Reston, VA / Plano, TX (Hybrid)
Duration: Long term
Mode of interview: In- Person
Job Description
As an Applied AI/ML Architect, you will be responsible for leading architectural decisions for the
Cloud, and Data Enterprise Portfolios. You must have a deep understanding of technical architecture
and have implemented AI/ML solutions in a cloud environment. Knowledge of industry best
practices around enterprise AI/ML adoption, security, architectures, and patterns. Experience with
micro-services architectures and cloud migration for data is a plus. Technical experience with multicloud environments (AWS, Azure, Google Cloud Platform) is a plus. Strong interpersonal communications skill isrequired.
Qualifications
- Should have a bachelor s degree in Computer Science or related field. Master s degree is
preferred or equivalent Desired Experiences
- 10+ years of progressive hands-on experience in application development with 5-6 years of
solution architecture, systems architecture and engineering, analysis and applications
programming in AI related discipline. Technical team leadership role is preferred
- A minimum of 5 years experience in working with a cloud provider (AWS or Azure)
- Experience with Architecture principles and TOGAF framework is a plus
- AI/ML relevant AWS Professional Certification is preferred
Required Skills
- Proven track record of implementing machine learning solutions, AI services and statistical
analysis related projects in production
- Technical leadership with analytical, problem solving and communication skills
- Familiarity with cloud AI/ML platform offerings, features
- Understanding of AI services for speech, vision and text.
- Machine learning background with algorithms
- Expertise in MLOps and dataops lifecycles and engineering implementation in enterprise
- Ability to code in Python, Spark or R as a programming language
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