Python AI/ML Data Engineer 1015 at Veracity Ventures Inc. — NeverHard

Job DescriptionJob Description Experience: 5+ Years Location: Remote – Canada Employment Type: Full-Time Eligibility: Canadian PR & Valid Work Permit Holders About the Opportunity A leading enterprise organization is seeking an experienced Python AI/ML Data Engineer to join its technology team. The ideal candidate will have strong hands-on experience in Python, Data Engineering, Machine Learning, AI, and cloud-based data platforms , with the ability to build scalable and reliable data solutions. Key Responsibilities Design, develop, and maintain scalable data pipelines and data processing solutions using Python. Develop and deploy Machine Learning and AI solutions for enterprise use cases. Work with structured and unstructured data to support analytics and AI/ML initiatives. Build and optimize ETL/ELT pipelines and data workflows. Develop data processing applications using Python, Pandas, PySpark, and SQL . Collaborate with Data Scientists, ML Engineers, Software Engineers, and business teams. Implement data quality, validation, monitoring, and performance optimization. Work with cloud-based data platforms and modern data engineering technologies. Support production deployment and operationalization of AI/ML models. Required Skills 5+ years of professional experience in Data Engineering, AI/ML Engineering, or related roles. Strong programming experience with Python . Hands-on experience with PySpark, Pandas, NumPy, and SQL . Strong understanding of ETL/ELT, data pipelines, and data modeling . Experience with Machine Learning and AI concepts . Experience working with LLMs, Generative AI, NLP, or RAG is highly preferred. Experience with cloud platforms such as AWS, Azure, or GCP . Experience with databases, data warehouses, and distributed data processing. Strong understanding of REST APIs, Git, CI/CD, and software development practices . Excellent problem-solving and communication skills. Preferred Experience Generative AI / LLM applications RAG pipelines and vector databases ML model deployment and MLOps Databricks / Spark AWS / Azure / GCP Kafka or other streaming technologies Docker and Kubernetes Enterprise or financial-services domain experience Eligibility Only candidates who are legally eligible to work in Canada, including Canadian PR holders and valid work permit holders, are encouraged to apply. This is a remote position.