AI Solutions Architect

Full Description

Our client is seeking an innovative and highly skilled AI Solutions Architect to join their cutting-edge technology team.

This is a fully remote position, offering the flexibility to work from anywhere.

You will be instrumental in designing, developing, and implementing advanced Artificial Intelligence and Machine Learning solutions that drive business value and technological innovation.

This roledemands a deep understanding of AI/ML algorithms, cloud platforms, and data science best practices.

You will collaborate with product managers, engineers, and data scientists to translate business requirements into robust and scalable AI architectures.

Your responsibilities will include architecting end-to-end AI solutions, from data ingestion and processing to model deployment and monitoring.

You will evaluate and recommend appropriate AI technologies, tools, and frameworks, ensuring they align with our client's strategic objectives.

A critical aspect of this role involves prototyping AI models, conducting proof-of-concepts, and leading the technical vision for AI projects.

You will also be responsible for defining MLOps strategies and best practices to ensure the efficient and reliable deployment and maintenance of AI models in production environments.

This is an exceptional opportunity for a forward-thinking individual to shape the future of AI within our organization and contribute to groundbreaking projects.

The ideal candidate will possess strong analytical skills, a passion for cutting-edge technology, and excellent communication abilities, enabling them to articulate complex technical concepts to both technical and non-technical audiences.

You should be adept at working independently and as part of a globally distributed team, demonstrating initiative and a results-oriented mindset.

Experience with large-scale data processing and distributed computing frameworks is highly valued.

Key Responsibilities:

Design and architect scalable and robust AI/ML solutions using cloud platforms (e.g., AWS, Azure, GCP).

Develop and implement end-to-end machine learning pipelines, including data preprocessing, feature engineering, model training, and deployment.

Evaluate and select appropriate AI/ML algorithms and tools for various business problems.

Lead the development of prototypes and proofs-of-concept for new AI initiatives.

Define and implement MLOps strategies for continuous integration, delivery, and monitoring of ML models.

Collaborate with data scientists and software engineers to integrate AI capabilities into existing products and services.

Stay current with the latest advancements in AI, machine learning, and deep learning.

Provide technical leadership and mentorship to engineering teams.

Document AI architecture designs, technical specifications, and best practices. Communicate technical vision and solutions effectively to stakeholders at all levels.

Qualifications:

Master's or Ph.D. in Computer Science, Data Science, Artificial Intelligence, or a related quantitative field. 5+ years of experience in designing and implementing AI/ML solutions.

Proven expertise in cloud-based AI platforms and services.

Strong programming skills in Python, Java, or Scala, with extensive experience in ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Deep understanding of various ML algorithms (e.g., regression, classification, clustering, deep learning). Experience with big data technologies (e.g., Spark, Hadoop) and data warehousing solutions.

Solid understanding of MLOps principles and tools.

Excellent problem-solving, analytical, and critical thinking skills. Ability to work independently in a remote setting and manage multiple priorities.