Machine Learning Engineer

What You'll Do

• Intermediate level experience building microservices and data products on AWS (preferred) and Azure.
• Designing and building data processing services and pipelines handling complex sets of data that meet functional and non-functional requirements.
• Partnering with product managers, architects, and other engineers on the team in building and testing new features and fixing defects.
• Be independent and self-driven to deliver results in assigned areas. Bias for action is essential.
• Proficient in Python (medium - high level), SQL (medium - high level), Py Spark (medium), algorithms (medium).
• Minimum 2 years' experience.

Optional Requirements (Good to have):

1. JavaScript, UI development

2. Data warehouse and BI Reporting

3. Test Automation

Expertise You'll Bring

• Bachelor’s degree in computer science, information systems, or a related field.
• Minimum of 5 years of experience in design and implementation of data pipelines.
• Proficient in designing dimensional data models using industry standard methodologies.
• Strong SQL skills and proficiency in data querying and analysis.
• Familiarity with deploy models and build applications.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills to work effectively with cross-functional teams and stakeholders.
• Ability to work independently and manage multiple priorities in a fast-paced environment.
• Experience with integrations to productize AI solutions

Benefits

• Competitive salary and benefits package
• Culture focused on talent development with quarterly promotion cycles and company-sponsored higher education and certifications
• Opportunity to work with cutting-edge technologies
• Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards
• Annual health check-ups
• Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents

Our company fosters a values-driven and people-centric work environment that enables our employees to:

• Accelerate growth, both professionally and personally
• Impact the world in powerful, positive ways, using the latest technologies
• Enjoy collaborative innovation, with diversity and work-life wellbeing at the core
  • Unlock global opportunities to work and learn with the industry’s best