We're looking for an experienced Senior AI Engineer to help drive data-based decision-making on our digital platform. This is a great opportunity to contribute to meaningful AI projects with a collaborative and innovative team.

If you're excited about making a real impact and working in a full-time, permanent remote role, we'd love to hear from you. Apply now and join us on our journey toward innovation and success!

Key Responsibilities

• AI/ML Solution Development: Design, develop, and deploy AI and machine learning models to address complex business challenges.
• Technical Leadership: Lead and mentor junior engineers and data scientists, promoting best practices and advanced technical methodologies.
• Research & Innovation: Stay current with the latest AI and ML advancements to enhance existing systems or develop innovative new solutions.
• Cross-Team Collaboration: Partner with product managers, software engineers, and key stakeholders to define project requirements and technical specifications, ensuring smooth implementation of AI solutions.
• Data Preparation: Conduct data analysis, preprocessing, and feature engineering to create high-quality datasets for machine learning models.
• Model Training & Optimization: Train, validate, and fine-tune machine learning models to meet accuracy and performance goals.
• Model Deployment & Monitoring: Deploy AI models into production environments and continuously monitor their performance, making adjustments as needed for optimal results.
• Documentation: Document AI models, algorithms, and methodologies to ensure knowledge sharing and reproducibility within the team.
• Compliance & Ethics: Ensure AI solutions align with ethical guidelines, industry standards, and data privacy regulations.

Qualifications

• Education: Bachelor's or Masters degree in Computer Science, Data Science, Electrical Engineering, or a related field. A PhD is a plus.
• Experience: At least 5 years of hands-on experience in AI and machine learning, with a proven track record of deploying AI models in production environments.

Technical Skills

• Programming Skills: Proficiency in Python with a strong understanding of software development best practices.
• ML Frameworks & Libraries: Expertise in machine learning libraries like TensorFlow, PyTorch, and scikit-learn.
• Data Analysis: Strong background in statistical analysis, data mining, and data visualization techniques.
• Cloud & Containerization: Experience with cloud platforms (AWS, GCP, Azure) and containerization tools (Docker, Kubernetes).
• Version Control & Methodologies: Familiarity with version control systems (Git) and development methodologies (Agile, Scrum).
  
  

APPLY NOW!

NearSource Technologies values diversity and is committed to equal opportunity. All qualified applicants will be considered regardless of their race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as protected veterans.