2 AI Solutions Architect Machine Learning jobs in whatjobs
AI Solutions Architect - Machine Learning
Posted 25 days ago
Job Viewed
Job Description
Our client is looking for a visionary AI Solutions Architect with a specialization in Machine Learning to join their fully remote, cutting-edge technology team. This role is at the forefront of developing and implementing innovative AI-driven solutions that solve complex business problems. You will be instrumental in designing end-to-end AI/ML systems, from conceptualization and data strategy to model development, deployment, and ongoing optimization. Responsibilities include collaborating with stakeholders to understand their needs, translating those requirements into technical specifications, and architecting robust, scalable, and efficient AI/ML pipelines. The ideal candidate will have a deep understanding of various machine learning algorithms, deep learning frameworks, and MLOps best practices. You will guide development teams, advise on technology choices, and ensure the successful integration of AI solutions into existing infrastructures. This position requires strong analytical and problem-solving skills, exceptional communication abilities, and a proven track record of delivering impactful AI projects. As a remote-first employee, you will need to be highly self-motivated, organized, and proficient in virtual collaboration tools. Experience with cloud platforms (AWS, Azure, GCP) and their AI/ML services is essential. You will stay abreast of the latest advancements in AI and emerging technologies, bringing innovative ideas to the table and driving continuous improvement. This is an exceptional opportunity to shape the future of artificial intelligence within a forward-thinking organization, working on challenging projects that have significant real-world applications. We seek a strategic thinker who can bridge the gap between advanced AI capabilities and tangible business value.
Qualifications:
Qualifications:
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 8 years of experience in AI/ML development and solutions architecture.
- Extensive experience with machine learning algorithms (e.g., regression, classification, clustering, deep learning).
- Proficiency in programming languages such as Python, R, and relevant ML libraries (TensorFlow, PyTorch, Scikit-learn).
- Strong understanding of MLOps principles and tools for model deployment and management.
- Experience with cloud platforms (AWS, Azure, GCP) and their AI/ML services.
- Excellent problem-solving, analytical, and critical thinking skills.
- Superb communication and presentation skills, with the ability to explain complex technical concepts to diverse audiences.
- Proven ability to lead and mentor technical teams in a remote setting.
- Experience with data engineering and big data technologies is a plus.
This advertiser has chosen not to accept applicants from your region.
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AI Solutions Architect - Machine Learning
Posted 2 days ago
Job Viewed
Job Description
Our client is looking for an innovative and experienced AI Solutions Architect specializing in Machine Learning to join their pioneering team. This fully remote position is crucial for designing, developing, and deploying scalable AI/ML solutions that address complex business challenges. You will work at the forefront of AI technology, leveraging cutting-edge algorithms and platforms to create intelligent systems. The ideal candidate possesses a deep technical understanding of ML models, data pipelines, and cloud infrastructure, combined with strong problem-solving and communication skills to articulate technical concepts to diverse stakeholders.
Responsibilities:
Qualifications:
Responsibilities:
- Design and architect end-to-end AI/ML solutions, from data ingestion to model deployment and monitoring.
- Collaborate with business stakeholders to understand requirements and translate them into technical specifications.
- Select appropriate ML algorithms and frameworks for various use cases.
- Develop and optimize data pipelines for training and inference.
- Implement and manage MLOps best practices for continuous integration, delivery, and deployment.
- Evaluate and recommend cloud-based AI/ML platforms and services (AWS SageMaker, Azure ML, GCP AI Platform).
- Build proof-of-concepts and prototypes to demonstrate the feasibility of AI solutions.
- Provide technical guidance and mentorship to data scientists and engineers.
- Ensure the scalability, reliability, and security of deployed AI systems.
- Stay current with the latest advancements in AI, machine learning, and deep learning.
- Document architectural designs, technical specifications, and best practices.
- Communicate complex technical concepts effectively to both technical and non-technical audiences.
- Contribute to the development of AI strategy and roadmap.
- Troubleshoot and resolve issues in production AI/ML environments.
Qualifications:
- Master's or Ph.D. in Computer Science, Data Science, AI, or a related quantitative field.
- 5+ years of experience in designing and implementing AI/ML solutions.
- Strong expertise in machine learning algorithms (supervised, unsupervised, deep learning) and statistical modeling.
- Proficiency in programming languages such as Python, R, and relevant ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Experience with cloud platforms (AWS, Azure, GCP) and their AI/ML services.
- Solid understanding of data engineering, MLOps, and CI/CD pipelines.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex technical concepts clearly.
- Experience in a remote work environment is essential.
- Ability to work independently and lead technical initiatives.
- Familiarity with big data technologies (e.g., Spark) is a plus.
This advertiser has chosen not to accept applicants from your region.
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