Join our growing team!

About Us:

nuCode specializes in empowering startups and enterprises with transformative technology solutions. We help businesses achieve innovation through cutting-edge advancements, including artificial intelligence (AI) and machine learning (ML).

Role Overview:

We are looking for an AI Solutions Architect to identify opportunities for integrating AI into existing and new applications, enhance business processes, and drive innovation. The role involves collaborating across teams to design AI-driven solutions that create measurable value.

Key Responsibilities:

• Evaluate existing applications and workflows to identify opportunities for AI-driven improvements.
• Design, develop, and deploy AI models and algorithms tailored to specific business use cases.
• Collaborate with product and engineering teams to integrate AI solutions seamlessly into applications.
• Research emerging AI technologies and recommend innovative applications to solve complex problems.
• Develop proof-of-concept projects to validate AI opportunities before full-scale implementation.
• Ensure compliance with ethical AI guidelines and data privacy regulations.
• Optimize deployed AI models for performance, scalability, and cost-effectiveness.
• Train cross-functional teams to leverage AI tools and frameworks effectively.

Qualifications:

• 3+ years of experience in AI/ML development or applied AI roles.
• Strong understanding of machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Experience with natural language processing (NLP), computer vision, or predictive analytics.
• Proficiency in programming languages like Python, R, or JavaScript for AI applications.
• Knowledge of data engineering practices, including ETL processes and big data tools (e.g., Spark, Hadoop).
• Proven track record of integrating AI models into production environments.
• Familiarity with cloud platforms like AWS, Azure, or Google Cloud for AI services.

Preferred Skills:

• Experience in building recommendation systems, chatbots, or fraud detection models.
• Familiarity with MLOps practices for lifecycle management of AI models.
• Understanding of ethical AI principles and explainable AI methodologies.
• Experience with tools like Docker, Kubernetes, and CI/CD pipelines for deploying AI applications.

What We Offer:

• Competitive compensation package and full benefits.
• Flexible working arrangements with support for remote work.
• Opportunities to lead cutting-edge AI projects in diverse industries.
• Collaborative environment fostering innovation and professional growth.
• Access to ongoing learning resources and AI certification programs.