Senior AI/ML Solutions Architect

Full Description

Our client, a cutting-edge technology firm at the forefront of AI & Emerging Technologies, is seeking a Senior AI/ML Solutions Architect to join their innovative team.

This role is based in Warri, Delta, NG , but offers a flexible Hybrid work arrangement, allowing for significant remote work.

The ideal candidate will have a deep understanding of artificial intelligence and machine learning principles, with a proven ability to design and implement robust AI solutions that address complex business challenges.

Responsibilities:

Design, develop, and implement scalable and robust AI and Machine Learning solutions for various business applications.

Collaborate with clients and internal stakeholders to understand their needs and translate them into technical requirements.

Architect end-to-end AI/ML pipelines, including data ingestion, preprocessing, model training, deployment, and monitoring.

Evaluate and select appropriate AI/ML algorithms, frameworks, and tools.

Provide technical leadership and guidance to development teams throughout the project lifecycle.

Stay abreast of the latest advancements in AI, Machine Learning, Deep Learning, and related fields.

Develop proofs of concept (POCs) and prototypes to demonstrate the feasibility of AI solutions.

Optimize AI models for performance, scalability, and cost-effectiveness.

Communicate complex technical concepts to both technical and non-technical audiences. Contribute to the development of best practices and reusable components for AI/ML development.

Qualifications:

Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.

Minimum of 7 years of hands-on experience in designing and implementing AI/ML solutions.

Strong expertise in programming languages such as Python, R, and relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn).

Proficiency in cloud platforms (AWS, Azure, GCP) and their AI/ML services.

Deep understanding of various ML algorithms (supervised, unsupervised, reinforcement learning) and deep learning architectures. Experience with big data technologies (e.g., Spark, Hadoop) and data processing techniques.

Excellent problem-solving, analytical, and critical thinking skills.

Strong communication and presentation skills, with the ability to articulate technical solutions effectively.

Experience in leading technical teams and mentoring junior engineers is a plus.

This is a unique opportunity to work on transformative projects and shape the future of AI. If you are a passionate innovator with a desire to push the boundaries of what's possible, we encourage you to apply.