Description

Strong expertise in AI technologies, including machine learning, natural language processing, and automation tools

Proficiency in programming languages such as Python, Java, or R, with experience in developing AI models and algorithms

Familiarity with AI frameworks like TensorFlow, PyTorch, or Keras

Experience working with cloud platforms such as AWS, Azure, or GCP for deploying AI solutions

Knowledge of data management, ETL processes, and data pipeline development

Understanding of software development lifecycle and Agile methodologies

Experience with version control systems like Git

Prioritized skills include experience with automation tools, API integration, and data privacy/security protocols.

Optional but preferred:

Experience with blockchain, IoT, and other emerging digital technologies

Knowledge of DevOps practices and automation pipelines

Overall Responsibilities

Lead the development and implementation of AI-driven automation projects to enhance business processes and operational efficiency

Mentor and guide technical team members in AI, machine learning, and automation best practices

Evaluate and recommend new technology solutions to improve existing business workflows

Collaborate with cross-functional teams including business analysts, data scientists, and IT to define requirements and deliver scalable solutions

Stay current with the latest trends in AI, automation, and emerging technologies to ensure innovative project delivery

Conduct technical reviews, ensure best coding practices, and manage project documentation

Oversee the deployment, testing, and performance tuning of AI models and automation workflows

Technical Skills (By Category)

Programming Languages: Python (required), Java, R, or others (required)

AI Frameworks & Libraries: TensorFlow, PyTorch, Keras (required)

Data Management: Data pipelines, ETL tools, SQL and NoSQL databases

Cloud Technologies: AWS, Azure, GCP (preferred)

Automation Tools: RPA frameworks, scripting, API integrations

DevOps & CI/CD: Jenkins, Docker, Kubernetes (preferred)

Security & Compliance: Data privacy regulations, security protocols for AI deployment

Experience Requirements

Minimum of 7+ years of experience in AI, automation, or related enterprise technology projects

Proven track record of leading automation initiatives that leverage AI, Blockchain, or IoT technologies

Demonstrable success in managing cross-functional teams and delivering end-to-end projects

Experience in designing scalable machine learning models and deploying them in production environments

Prior experience in industries such as finance, banking, or enterprise solutions is advantageous

Alternative experience pathways: extensive experience in AI-driven projects or certifications in emerging technologies

Qualifications

Bachelor’s or Master’s degree in Computer Science, Data Science, Information Technology, or related field

Relevant certifications in AI, Machine Learning, or Digital Innovation (e.g., TensorFlow Developer Certificate, RPA certifications)

Continuous learning attitude to stay updated on industry advancements and technological trends

Key Skills

Education

Bachelor's or Master's degrees