Senior Ai Engineer

Summary

Join our team as a Senior AI Engineer and leverage your technical skills and creativity to identify and implement AI solutions across the company. You will play a key role in developing AI-driven solutions using vast amounts of data to drive business impact in areas such as Fraud Detection, Sales Optimization, and Operations Automation. This role requires hands-on AI/ML development, strategic problem-solving, and expertise in Azure, Snowflake, and scalable AI architectures. You will collaborate with various teams, manage AI pipelines, and stay ahead of AI trends. We offer a collaborative environment, cutting-edge tools, and competitive compensation and benefits.

Requirements

• 5+ years in AI/ML Engineering, Data Science, or MLOps
• Proven ability to identify and implement AI solutions beyond traditional ML use cases
• Strong programming skills in Python, Scala, or Java with expertise in ML frameworks (TensorFlow, PyTorch, Scikit-learn)
• Hands-on experience with Azure (Azure ML, Databricks, AKS), Snowflake, and Terraform
• Expertise in data engineering, real-time processing (Apache Flink, Kafka, Spark), and big data analytics
• Deep knowledge of MLOps best practices, CI/CD pipelines, and AI automation
• Strong problem-solving skills with a creative, business-driven mindset
• Excellent spoken and written English

Responsibilities

• Proactively identify AI opportunities and work with various teams to uncover high-value AI use cases and turn company-wide data into actionable insights
• Develop and deploy predictive models, automation solutions, and AI-powered tools that optimize business processes and decision-making
• Leverage the company’s large datasets to develop new AI-driven applications, from customer insights to operational efficiency improvements
• Design and manage end-to-end AI pipelines on Azure and Snowflake, ensuring efficient data processing and model deployment
• Automate model lifecycle management with Azure Machine Learning, Apache Airflow, and CI/CD workflows for scalable AI operations
• Partner with engineering, product, and business teams to align AI initiatives with company goals
• Keep up with the latest in AI/ML research, tools, and techniques to continuously improve company-wide AI capabilities

Preferred Qualifications

• Experience in AI-driven business applications (e.g., Fraud Detection, Sales Optimization, Process Automation)
• Strong background in AI for structured and unstructured data
• Contributions to open-source AI/ML projects
• Passion for exploring new AI applications and emerging trends

Benefits

Competitive salary, benefits, and career growth opportunities