Artificial Intelligence Engineer - Deep Learning/Machine Learning

You will be responsible for implementing architecture and design from the definition phase to the go-live phase by working with business analysts and subject matter experts to understand current priorities. You will define conceptual and low-level models using AI technology and review designs to ensure alignment with architecture. Additionally, you will be involved in hands-on development of AI-led solutions. Key Responsibilities: - Implement the entire data pipeline including data crawling, ETL, creating Fact Tables, and data quality management - Integrate with multiple systems using API, Web Services, or data exchange mechanisms - Build interfaces to gather data from various sources such as flat files, data extracts, incoming feeds, and enterprise applications - Ensure scalability, maintainability, and adherence to best practices for security, performance, and data management - Lead, develop, and assist developers and other team members - Collaborate, validate, and provide updates to internal stakeholders throughout the project - Define and deliver against the solution benefits statement Qualifications Required: - Bachelor's degree in Computer Science, Software Engineering, or a related field - Minimum 5 years of IT experience with at least 3 years as a Full Stack developer, preferably using Python - 2+ years of hands-on experience in Azure Data Factory, Azure Databricks/Spark, Azure Data Lake Storage, Azure Synapse/SQL DW - Expertise in designing and deploying data pipelines on Azure, including data crawling, ETL, Data warehousing, and data applications - Experience in AI technology such as Machine Learning algorithms, Natural Language Processing, Deep Learning, Image Recognition, Speech Recognition, etc. - Proficiency in programming languages like Python and dealing with all layers in a solution - Familiarity with Vector DBs like FAISS, CromaDB, PineCone, Weaveate, Feature Store - Experience in implementing and deploying applications on Azure - Proficient in creating technical documents and using tools like Rational Suite, Enterprise Architect, Eclipse, and Git - Familiarity with different development methodologies like RUP and Scrum Please note that the company's additional details were not provided in the job description.,