Machine Learning Engineer

As a Sr ML Engineer, you will be responsible for design and implementation of data pipelines, deploy models, build applications and integrations to productize AI solutions. Good knowledge of public cloud (AWS, Azure or GCP), System Engineering and MLOps is preferred.

Experience: 7-12 years

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

Let’s unleash your full potential at Anocloud.

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