Big Data Developer

• Role: GenAI and BigData Developer
• Location: Halifax
• Type: Contract (Hybrid)

Role Overview:

• We are seeking a highly skilled GenAI & Big Data developer to design, build, and deploy scalable data and AI solutions. This role combines expertise in big data engineering, agentic AI, machine learning operations, and cloud-native technologies to deliver enterprise-grade AI applications and data platforms.
• Key Responsibilities
• Build and maintain scalable batch and real-time data pipelines for ingestion, transformation, and curation.
• Design and optimize data models, feature stores, and storage architectures for AI/ML workloads.
• Develop and operationalize Agentic AI and LLM-powered applications, including RAG pipelines and agent orchestration frameworks.
• Implement DataOps and MLOps automation, including CI/CD pipelines, model deployment, monitoring, data validation, and drift detection.
• Design, deploy, and optimize AI platforms and distributed systems across cloud and on-premises environments.
• Integrate AI services into secure, production-grade environments while ensuring reliability, scalability, and observability.
• Establish AI architecture standards, best practices, and governance across the organization.
• Collaborate with cross-functional teams to translate business requirements into scalable technical solutions.
• Required Skills
• Strong experience with Agentic AI, Large Language Models (LLMs), RAG pipelines, and agent orchestration frameworks (LangChain/LangGraph preferred).
• Expertise in MLOps automation, including CI/CD, model deployment, monitoring, data validation, feature management, and drift detection.
• Proficiency with GitHub, GitHub Actions, Docker, and Kubernetes for DevOps and deployment automation.
• Advanced programming skills in Python with strong software engineering fundamentals, including version control, testing, and code reviews.
• Strong proficiency in SQL and distributed computing technologies such as Apache Spark, Hadoop, Scala, and Java.
• Experience with data modeling, feature engineering, and feature stores across the machine learning lifecycle.
• Hands-on experience with Kafka or similar event-streaming platforms.
• Expertise in designing and deploying enterprise-scale distributed systems.
• Experience building and supporting hybrid cloud and on-premises environments using AWS and/or Azure.
• Strong analytical, problem-solving, collaboration, and communication skills.
• Preferred Qualifications
• Master's degree in computer science, Software Engineering, Data Science, or a related field.
• 5+ years of experience in Data Engineering, Software Engineering, ML Engineering, AI Engineering, or related disciplines.
• Experience with React and JavaScript for UI development is a plus.