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Director of Engineering

5 months ago

bangalore, India Kaplan Full time
For more than 80 years, Kaplan has been a trailblazer in education and professional advancement. We are a global company at the intersection of education and technology, focused on collaboration, innovation, and creativity to deliver a best in class educational experience and make Kaplan a great place to work.
Our offices in India opened in Bengaluru in 2018. Since then, our team has fueled growth and innovation across the organization, impacting students worldwide. We are eager to grow and expand with skilled professionals like you who use their talent to build solutions, enable effective learning, and improve students’ lives.
The future of education is here and we are eager to work alongside those who want to make a positive impact and inspire change in the world around them.
The Director of AI/ML Engineering and Delivery leads our software engineering team in creating and managing state-of-the-art AI-enabled products using the latest technologies from Microsoft Azure, OpenAI, Google, Amazon Web Services, and others.
Primary Responsibilities:
Lead and mentor a team of software engineers, fostering a culture of innovation, collaboration, and continuous improvement.
Drive the architecture, design, and implementation of scalable, reliable, and high-performance AI-enabled products.
Oversee the integration of AI models and services from Microsoft Azure, OpenAI, Google Cloud, AWS, and others into our product offerings.
Develop and implement strategic roadmaps for software development and delivery, ensuring alignment with business goals and customer needs.
Collaborate with cross-functional teams, including product management, data science, and UX/UI design, and cloud engineering to deliver high-quality products on time and within budget.
Establish and enforce best practices for software development, code quality, testing, and deployment.
Ensure compliance with security, privacy, and regulatory requirements in all software development processes.
Evaluate and implement new technologies, tools, and processes to enhance the efficiency and effectiveness of the engineering team.
Monitor and manage project risks, ensuring timely mitigation and communication with stakeholders.
Represent the engineering team in executive meetings, providing updates on progress, challenges, and opportunities.
Manage the group; hire and develop talent
Hybrid Schedule: 3 days remote / 2 days in office
30-day notification period preferred
Minimum Qualifications:
Master’s degree in Computer Science, Engineering, or a related field; or Bachelor’s degree with 2 additional years of work experience.
Proven experience as a Full-Stack Software Engineer (12+ years), with a strong portfolio of AI-enabled products (3+ year).
Proven experience as a senior leader in software engineering, with a track record of successfully delivering AI-enabled products.
Deep understanding of AI technologies and experience with cloud services and APIs from Microsoft Azure, OpenAI, Google Cloud, and AWS.
Strong technical background in full-stack development, including front-end and back-end technologies.
Proficiency in software development methodologies, including Agile and DevOps practices.
Excellent leadership and communication skills, with the ability to inspire and guide a diverse team of engineers.
Strong problem-solving skills and the ability to navigate complex technical challenges.
Experience with budget management and resource allocation.
Commitment to continuous learning and staying current with emerging technologies and industry trends.
Uses AI tools and automation to boost code generation, debugging, and deployment.
Preferred Qualifications:
Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch).
Knowledge of data engineering and big data technologies.
Familiarity with cybersecurity best practices and data privacy regulations.
Experience in a fast-paced startup environment.