Deputy Director,Cloud Engineering and AI/ML

Key Skills

Apache Hadoop, AWS, Docker, Git, Google Cloud Platform (GCP), Jenkins, Kubernetes-K8s, Spark-SQL

Job Description

Responsibilities

• Identify the top cloud architecture solutions to successfully meet the strategic needs of the company.- Design, develop and deploy complex AI/ML solutions on cloud infrastructure that can scale in response to changing business and technical requirements.- Collaborate with data scientists, software engineers, and product managers to identify business opportunities and develop solutions that meet user needs.- Develop and maintain highly scalable and reliable cloud infrastructure to support AI/ML workflows.- Continuously monitor and evaluate the performance of cloud infrastructure and optimize it for cost, speed, and scalability.- Stay up-to-date with the latest trends and techniques in cloud computing, AI/ML, and evaluate emerging technologies for potential adoption.

Qualifications

Years of Experience:

• Bachelor’s degree in Computer Science, MIS, Business Management, or related field
• 14 + years’ experience in Information Technology or Business Relationship Management
• 5 + years’ experience in Data Warehouse/Azure Data Lake; 2+ years of big data experience
• Minimum 4 years’ experience as project lead

Mandatory Technical Skills:

• Strong understanding of cloud architecture and infrastructure, including experience with Azure (preferred) or any other cloud platform (AWS or GCP)- Experience with DevOps tools such as Docker, Kubernetes, Jenkins, and Git- Experience with big data technologies such as Hadoop, Spark, and Cassandra is a plus- Strong programming skills in Python or Java- Experience with popular ML frameworks, libraries and products - Azure ML, Gurobi, R- Studio, Alteryx and Trifacta is preferred- Strong analytical and problem-solving skills, and ability to work independently or as part of a team.

Mandatory Non Technical Skills:

• Excellent remote collaboration skills
• Experience working in a matrix organization with diverse priorities
• Experience dealing with and managing multiple vendors
• Exceptional written and verbal communication skills along with collaboration and listening skills
• Ability to work with agile delivery methodologies
• Ability to ideate requirements & design iteratively with business partners without formal requirements documentation
• Ability to budget resources and funding to meet project deliverables
• Differentiating Compenticies :

• Excellent problem-solving and interpersonal skills
• Strong communication skills to meet with delivery teams and business-facing teams, understand sometimes ambiguous, needs, and translate to clear, aligned requirements
• Strong desire to learn and share knowledge with others
• Desire to work collaboratively with your teammates to come up with the best solution to a problem
• Ability to work with virtual teams (remote work locations); lead team of technical resources (employees and contractors) based in multiple global locations
• Demonstrated experience and ability to deliver results on multiple projects in a fast-paced, agile environment
• Lead technical discussions, driving clarity of complex issues/requirements to build robust solutions