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Senior AI Solutions Architect

WhatJobs Direct

Onitsha · On-site Full-time Senior 1w ago

About the role

About the Role

Our client, a cutting‑edge technology firm specializing in artificial intelligence, is seeking a highly skilled and visionary Senior AI Solutions Architect to join their team. This role offers the exciting opportunity to design and implement advanced AI‑driven solutions that address complex business challenges. You will be instrumental in translating client requirements into scalable, robust, and secure AI architectures, leveraging state‑of‑the‑art machine learning models, natural language processing, computer vision, and data analytics techniques. The ideal candidate will possess a deep technical understanding of AI/ML frameworks (e.g., TensorFlow, PyTorch), cloud platforms (AWS, Azure, GCP), and data engineering best practices. You should have a proven track record of architecting and deploying AI solutions in production environments. Excellent communication and leadership skills are essential for collaborating with cross‑functional teams, including data scientists, software engineers, and business stakeholders. This position involves working with clients to understand their needs, propose innovative solutions, and guide the development process.

Key Responsibilities

  • Design and architect end‑to‑end AI and Machine Learning solutions for various business applications.
  • Evaluate and select appropriate AI/ML models, algorithms, and tools for specific use cases.
  • Develop robust and scalable data pipelines for AI model training and deployment.
  • Collaborate with data scientists and engineers to implement and optimize AI models.
  • Provide technical leadership and guidance on AI best practices and emerging technologies.
  • Translate business requirements into technical specifications for AI solutions.
  • Assess existing infrastructure and recommend improvements for AI implementation.
  • Ensure the security, privacy, and ethical considerations of AI solutions.
  • Present technical solutions and strategies to both technical and non‑technical stakeholders.
  • Stay at the forefront of AI/ML research and industry trends.

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 software development and architecture, with a strong focus on AI/ML.
  • Extensive experience with AI/ML frameworks (TensorFlow, PyTorch, scikit‑learn) and programming languages (Python).
  • Proven experience designing and deploying AI solutions on cloud platforms (AWS SageMaker, Azure ML, Google AI Platform).
  • Deep understanding of machine learning algorithms, statistical modeling, and data science principles.
  • Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
  • Excellent problem‑solving, analytical, and critical thinking skills.
  • Strong communication, presentation, and interpersonal skills.
  • Experience in the Onitsha, Anambra, NG tech ecosystem is advantageous.

Requirements

  • Minimum of 8 years of experience in software development and architecture, with a strong focus on AI/ML.
  • Extensive experience with AI/ML frameworks (TensorFlow, PyTorch, scikit-learn) and programming languages (Python).
  • Proven experience designing and deploying AI solutions on cloud platforms (AWS SageMaker, Azure ML, Google AI Platform).
  • Deep understanding of machine learning algorithms, statistical modeling, and data science principles.
  • Excellent problem-solving, analytical, and critical thinking skills.
  • Strong communication, presentation, and interpersonal skills.

Responsibilities

  • Design and architect end-to-end AI and Machine Learning solutions for various business applications.
  • Evaluate and select appropriate AI/ML models, algorithms, and tools for specific use cases.
  • Develop robust and scalable data pipelines for AI model training and deployment.
  • Collaborate with data scientists and engineers to implement and optimize AI models.
  • Provide technical leadership and guidance on AI best practices and emerging technologies.
  • Translate business requirements into technical specifications for AI solutions.
  • Assess existing infrastructure and recommend improvements for AI implementation.
  • Ensure the security, privacy, and ethical considerations of AI solutions.
  • Present technical solutions and strategies to both technical and non-technical stakeholders.
  • Stay at the forefront of AI/ML research and industry trends.

Skills

AWS SageMakerAzure MLComputer visionData analyticsGoogle AI PlatformHadoopMachine learningNatural language processingPythonPyTorchscikit-learnSparkTensorFlow

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