4 Senior AI Solutions Architect Machine Learning jobs in whatjobs
Senior AI Solutions Architect - Machine Learning
Posted 9 days ago
Job Viewed
Job Description
Our client is seeking a visionary Senior AI Solutions Architect with deep expertise in Machine Learning to design and implement cutting-edge artificial intelligence solutions. This fully remote role is at the forefront of technological innovation, where you will architect scalable, robust, and performant AI systems that solve complex business problems. You will work closely with engineering teams, data scientists, and business stakeholders to translate requirements into practical, AI-driven applications. This is a remote-first opportunity, offering the flexibility to work from anywhere in Kenya.
Key responsibilities will include:
The ideal candidate will possess a Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field. A minimum of 7 years of experience in AI/ML development, with at least 3 years in a Solutions Architect or Lead Engineer role, is required. Proven experience in designing and deploying large-scale ML models in cloud environments is essential. Deep understanding of various ML techniques (e.g., deep learning, NLP, computer vision), algorithms, and frameworks (e.g., TensorFlow, PyTorch, scikit-learn) is critical. Proficiency in cloud platforms (AWS, Azure, GCP) and related AI/ML services is necessary. Strong programming skills in Python and experience with MLOps practices are highly desirable. Excellent problem-solving, communication, and stakeholder management skills are crucial for success in this remote role. This fully remote position allows you to drive AI innovation from your chosen location in Kenya, contributing to advanced technological development for **Mlolongo, Machakos, KE**.
Key responsibilities will include:
- Designing end-to-end AI and Machine Learning solutions, from data ingestion and preprocessing to model deployment and monitoring.
- Architecting scalable and resilient cloud-based AI platforms (e.g., AWS, Azure, GCP).
- Selecting appropriate ML algorithms, frameworks, and tools for specific use cases.
- Developing proof-of-concepts (PoCs) and prototypes to validate AI solution designs.
- Collaborating with data scientists to operationalize ML models into production environments.
- Defining MLOps strategies and best practices for CI/CD, model versioning, and performance management.
- Ensuring AI solutions are secure, compliant, and adhere to ethical AI principles.
- Providing technical leadership and guidance to development teams throughout the solution lifecycle.
- Evaluating emerging AI technologies and recommending their adoption where appropriate.
- Communicating complex technical concepts and solutions to both technical and non-technical audiences.
The ideal candidate will possess a Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field. A minimum of 7 years of experience in AI/ML development, with at least 3 years in a Solutions Architect or Lead Engineer role, is required. Proven experience in designing and deploying large-scale ML models in cloud environments is essential. Deep understanding of various ML techniques (e.g., deep learning, NLP, computer vision), algorithms, and frameworks (e.g., TensorFlow, PyTorch, scikit-learn) is critical. Proficiency in cloud platforms (AWS, Azure, GCP) and related AI/ML services is necessary. Strong programming skills in Python and experience with MLOps practices are highly desirable. Excellent problem-solving, communication, and stakeholder management skills are crucial for success in this remote role. This fully remote position allows you to drive AI innovation from your chosen location in Kenya, contributing to advanced technological development for **Mlolongo, Machakos, KE**.
This advertiser has chosen not to accept applicants from your region.
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Senior AI Solutions Architect - Machine Learning
Posted 9 days ago
Job Viewed
Job Description
Our client is seeking a highly innovative and experienced Senior AI Solutions Architect specializing in Machine Learning to join their cutting-edge technology division in **Eldoret, Uasin Gishu, KE**. This role will be instrumental in designing, developing, and deploying advanced AI and ML solutions that drive business value and innovation. You will be responsible for translating complex business requirements into scalable, robust AI architectures, selecting appropriate ML models and algorithms, and overseeing their implementation and integration into existing systems. The ideal candidate will possess a deep understanding of ML frameworks, deep learning techniques, cloud AI platforms, and MLOps principles. You will work closely with data scientists, software engineers, and business stakeholders to deliver transformative AI-driven products and services. This position requires exceptional technical leadership, strategic thinking, and a passion for pushing the boundaries of artificial intelligence.
Responsibilities:
Responsibilities:
- Design and architect end-to-end AI and Machine Learning solutions for various business problems.
- Evaluate and select appropriate ML algorithms, frameworks, and tools for specific applications.
- Develop scalable and robust ML models, including deep learning, natural language processing, and computer vision models.
- Oversee the deployment, monitoring, and maintenance of ML models in production environments.
- Collaborate with data scientists to preprocess data, train models, and evaluate performance.
- Work with software engineers to integrate AI/ML components into larger applications and systems.
- Define MLOps strategies for automating model development, deployment, and lifecycle management.
- Provide technical guidance and leadership to AI/ML development teams.
- Stay abreast of the latest advancements in AI, Machine Learning, and emerging technologies.
- Communicate complex technical concepts and solutions to both technical and non-technical stakeholders.
- Ensure AI solutions are ethical, fair, and comply with relevant regulations.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
- Minimum of 7 years of experience in AI/ML development and architecture, with a strong focus on designing and deploying production-level solutions.
- Proven expertise in ML frameworks such as TensorFlow, PyTorch, scikit-learn.
- Experience with cloud AI platforms (e.g., AWS SageMaker, Google AI Platform, Azure ML).
- Strong understanding of MLOps principles and tools (e.g., Docker, Kubernetes, CI/CD pipelines).
- Proficiency in programming languages like Python.
- Deep knowledge of various ML algorithms, including supervised, unsupervised, and reinforcement learning.
- Experience with deep learning, natural language processing, or computer vision is highly desirable.
- Excellent problem-solving, analytical, and architectural design skills.
- Strong communication and presentation skills.
- Ability to lead and mentor technical teams.
This advertiser has chosen not to accept applicants from your region.
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Senior AI Solutions Architect - Machine Learning
Posted 5 days ago
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Job Description
Our client, a trailblazer in leveraging Artificial Intelligence to solve complex business challenges, is seeking a highly innovative and experienced Senior AI Solutions Architect to join their fully remote, cutting-edge team. This role is paramount in designing, developing, and deploying sophisticated AI and machine learning solutions that drive significant business value. The ideal candidate will possess a profound understanding of AI principles, ML algorithms, deep learning frameworks, and cloud-based AI platforms. You will be responsible for translating business requirements into robust technical solutions, architecting end-to-end AI systems, and guiding the development lifecycle from conception to production. This involves deep collaboration with data scientists, engineers, and business stakeholders to ensure the effective integration of AI capabilities. Experience in areas such as natural language processing (NLP), computer vision, predictive analytics, and recommendation systems is highly desirable. You will evaluate and select appropriate AI tools, technologies, and platforms, ensuring scalability, efficiency, and ethical considerations are met. The ability to articulate complex technical concepts to both technical and non-technical audiences is crucial. This position demands a forward-thinking approach, staying ahead of the curve in AI advancements, and applying innovative techniques to solve unique problems. This is an exceptional opportunity to work on transformative AI projects within a highly collaborative and dynamic remote environment.
Responsibilities:
Responsibilities:
- Design and architect scalable, robust, and high-performance AI and machine learning solutions.
- Translate business requirements into detailed technical specifications for AI systems.
- Lead the selection and implementation of appropriate AI/ML algorithms, frameworks, and tools.
- Oversee the end-to-end development lifecycle of AI solutions, from data ingestion to model deployment.
- Collaborate closely with data scientists and engineers to build and train models.
- Ensure AI solutions are integrated effectively with existing systems and platforms.
- Evaluate and recommend cloud-based AI services and infrastructure (AWS SageMaker, Azure ML, GCP AI Platform).
- Conduct proof-of-concepts and develop prototypes for new AI applications.
- Provide technical leadership and guidance to AI development teams.
- Stay abreast of the latest research, trends, and advancements in AI and machine learning.
- Ensure ethical AI practices and data privacy considerations are addressed.
- Document AI architectures, models, and deployment processes.
- Communicate technical solutions and insights to diverse stakeholders.
- 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 architecture, with at least 3 years in a lead or architect role.
- Deep understanding of machine learning algorithms, statistical modeling, and deep learning frameworks (TensorFlow, PyTorch).
- Proven experience architecting and deploying AI solutions in cloud environments (AWS, Azure, GCP).
- Expertise in at least one of the following areas: NLP, computer vision, reinforcement learning, predictive analytics.
- Strong programming skills in Python, R, or similar languages.
- Excellent problem-solving, analytical, and critical thinking skills.
- Outstanding communication and interpersonal skills for effective remote collaboration.
- Experience with MLOps principles and tools is a significant plus.
- Ability to lead and mentor technical teams.
This advertiser has chosen not to accept applicants from your region.
2
Senior AI Solutions Architect - Machine Learning
Posted 4 days ago
Job Viewed
Job Description
Our client, a leader in cutting-edge AI and emerging technologies, is seeking a highly skilled Senior AI Solutions Architect specializing in Machine Learning. This is a fully remote position, allowing you to leverage your expertise from anywhere. You will be responsible for designing, developing, and implementing advanced AI and ML-driven solutions that address complex business challenges. This includes understanding client needs, translating them into technical requirements, and architecting end-to-end ML pipelines from data ingestion and preprocessing to model training, deployment, and monitoring. You will work with a variety of machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and cloud platforms (e.g., AWS, Azure, GCP). Your role will involve selecting appropriate technologies, ensuring scalability, reliability, and performance of AI solutions. You will collaborate closely with data scientists, software engineers, and product managers to bring innovative solutions to life. The ideal candidate will possess a strong understanding of ML lifecycle management, MLOps principles, and best practices for deploying AI models into production environments. Experience with big data technologies and distributed computing frameworks is also highly valued. You will be expected to stay abreast of the latest advancements in AI and ML research and technology, and to apply this knowledge to develop state-of-the-art solutions. Strong problem-solving skills, excellent communication abilities, and the capacity to articulate complex technical concepts to both technical and non-technical audiences are essential. This role offers a unique opportunity to work on transformative AI projects and shape the future of technology. You will be a key contributor to our client's innovation efforts.
Key Responsibilities:
Key Responsibilities:
- Design and architect scalable AI/ML solutions.
- Develop and implement end-to-end machine learning pipelines.
- Select appropriate ML algorithms and frameworks.
- Oversee model training, evaluation, and deployment.
- Implement MLOps practices for production AI systems.
- Collaborate with data scientists and engineers.
- Evaluate and integrate new AI technologies.
- Ensure the performance and reliability of AI solutions.
- Communicate technical strategies to stakeholders.
- Stay current with AI/ML research and industry trends.
- Master's or PhD in Computer Science, AI, Machine Learning, or a related quantitative field.
- Minimum of 6 years of experience in AI/ML engineering or solution architecture.
- Proven experience designing and implementing production-grade ML models.
- Strong knowledge of ML algorithms, deep learning frameworks (TensorFlow, PyTorch), and libraries (Scikit-learn).
- Experience with cloud platforms (AWS, Azure, GCP) and their AI/ML services.
- Proficiency in programming languages such as Python.
- Familiarity with big data technologies (e.g., Spark, Hadoop) and MLOps.
- Excellent analytical, problem-solving, and communication skills.
- Ability to lead technical discussions and mentor junior team members.
- Experience working in a remote, collaborative environment.
This advertiser has chosen not to accept applicants from your region.
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