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Principal Software Engineer, AI/ML (Hybrid)

unlimited holidays - extra parental leave
Remote: 
Hybrid
Contract: 
Salary: 
31 - 31K yearly
Work from: 
Bengaluru (IN)

Offer summary

Qualifications:

Master’s degree in Computer Science or related field with 18+ years of experience, Proficiency in front-end and back-end development, cloud services, and database technologies.

Key responsabilities:

  • Provide technical leadership, define best practices, architect scalable AI/ML systems
  • Develop end-to-end solutions, collaborate with teams, lead full-stack development, conduct code reviews
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Kaplan Education XLarge https://www.kaplan.com/
10001 Employees
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Job description

Job Title 

Principal Software Engineer, AI/ML (Hybrid)

Job Description

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.

As a Principal Software Engineer for AI/ML products, you will provide technical leadership and work to harness the power of artificial intelligence to create transformative solutions. You will lead the engineering team, establish best practices, and drive the adoption of innovative AI/ML technologies. Your role includes architecting robust AI/ML systems, developing end-to-end solutions, and ensuring alignment with business goals. Mentoring engineers, leading full-stack application development, conducting code reviews, and implementing testing strategies are key responsibilities. Staying updated with emerging trends to drive team innovation is essential.

Primary Responsibilities:

  • Provide technical leadership and strategic direction for the AI/ML engineering team.

  • Define and enforce best practices and coding standards across the organization.

  • Drive the adoption of innovative AI/ML technologies and methodologies.

  • Architect and design scalable, robust AI/ML systems and applications.

  • Develop end-to-end AI/ML solutions, including data preprocessing, model training, deployment, and monitoring.

  • Collaborate with cross-functional teams to align AI/ML projects with business goals.

  • Mentor and guide engineers, fostering a culture of continuous learning.

  • Lead the development of full-stack applications leveraging AI technologies.

  • Conduct thorough code reviews and implement robust testing strategies.

  • Stay up-to-date with emerging trends in AI, cloud services, and full-stack development and advocate for the adoption of AI/ML best practices to drive innovation within the team.

  • 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.
  • 18+ years experience as a Full-Stack Software Engineer, with a strong portfolio of AI-enabled products (3+ year).

  • Proficiency in front-end technologies such as HTML, CSS, JavaScript, and modern frameworks (React, Angular, Vue.js).

  • Expertise in back-end development using languages such as Python and Node.js.

  • Hands-on experience with cloud services and AI APIs such as those from Microsoft Azure, OpenAI, Google Cloud, and AWS.

  • Knowledge of database technologies (SQL, NoSQL) and data modeling.

  • Strong problem-solving skills and ability to work in a fast-paced, collaborative environment.

  • Excellent communication skills and the ability to articulate technical concepts to non-technical stakeholders.

  • 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).
  • Understanding of DevOps practices and CI/CD pipelines.
  • Experience with version control systems (e.g., Git).
  • Knowledge of cybersecurity best practices and data privacy regulations.

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Location

Bangalore, KA, India

Additional Locations 

Employee Type

Employee

Job Functional Area 

Systems Administration/Engineering

Business Unit

00091 Kaplan Higher ED

At Kaplan, we recognize the importance of attracting and retaining top talent to drive our success in a competitive market. Our salary structure and compensation philosophy reflect the value we place on the experience, education, and skills that our employees bring to the organization, taking into consideration labor market trends and total rewards.  All positions with Kaplan are paid at least $15 per hour or $31,200 per year for full-time positions. Additionally, certain positions are bonus or commission-eligible.   And we have a comprehensive benefits package, learn more about our benefits here.

Diversity & Inclusion Statement:


Kaplan is an Equal Opportunity Employer.   Our employees’ diverse range of perspectives, ideas, and backgrounds give Kaplan a competitive edge in anticipating and surpassing the needs of our students in today's global marketplace. We are dedicated to cultivating an inclusive workplace that values diversity, promotes equity, and integrates inclusivity into all aspects of our operations. We strongly believe that diversity strengthens our organization, fuels innovation, and improves our capacity to effectively serve our customers and communities.  Learn more about our culture here.

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Experience

Industry :
Education
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Verbal Communication Skills
  • Mentorship
  • Analytical Skills
  • Collaboration
  • Working Quickly
  • Leadership

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