Manager of AI/ML Engineering

Evaluate emerging AI technologies, frameworks, and tools to drive innovation and continuous improvementLead and manage a team of AI/ML Engineers responsible for building and supporting enterprise AI solutionsDefine and execute the organization's AI/ML and Generative AI strategy, aligned with business objectives and technology roadmapsDrive architecture and implementation of LLM, RAG, Agentic AI, Predictive Analytics, and Intelligent Automation solutionsEstablish engineering standards, development frameworks, AI governance controls, and operational best practicesOversee end-to-end AI solution lifecycle including design, development, testing, deployment, monitoring, and optimizationPartner with business leaders to identify opportunities for AI-driven transformation and measurable business impactLead architecture reviews, code reviews, technical design sessions, and technology evaluationsCreate technical documentation and provide support for AI/ML application deployments, monitoring, and incident resolutionDrive adoption of MLOps, CI/CD, Model Monitoring, Drift Management, and Responsible AI practicesManage project execution, delivery commitments, capacity planning, vendor engagement, and stakeholder communicationsEnsure enterprise AI platforms meet security, scalability, reliability, compliance, and operational requirementsBuilder

Design, develop, and deploy AI-powered solutions using no-code, low-code, and advanced platforms, translating business needs into scalable applications that enhance products, workflows, and decision-makingComply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do soRequired Qualifications: Bachelor's or Master's degree in Computer Science, Information Technology, or equivalent12+ years of professional experience in AI/ML engineering, including machine learning, Generative AI, LLM-based applications, Agentic AI frameworks, and Big data platform developmentSolid hands-on experience with Python and ScalaHands-on experience with Snowflake and solid expertise in SQL and PL/SQLHands-on experience with Docker, Kubernetes, and modern DevOps practicesExperience building large-scale batch and streaming data processing systemsExperience working in cloud environments, preferably Microsoft AzureExperience with Shell scripting for automation and operational supportExperience developing, training, fine-tuning, and deploying AI/ML models using frameworks such as scikit-learn, TensorFlow, PyTorch, and Generative AI/LLM ecosystemsExperience building and managing CI/CD pipelines using Jenkins, GitHub Actions, and Git-based workflowsExperience working in Agile development environmentsHands-on exposure to LLMs (e.g., OpenAI GPT, Azure OpenAI), including prompt design, fine-tuning concepts, and secure workflow integrationExpertise on REST APIs and FAST APIExpertise in Apache Spark and solid understanding of .