MLOps Engineer

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2 days ago

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Weekday (YC W21)

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Human Resources • SaaS • Recruitment

Weekday is a modern recruitment platform that combines AI technologies with a vast database of potential candidates, aiming to streamline the hiring process for companies in India. They offer various services, including a proactive outreach approach that helps employers connect with top talent, as well as tools for candidates to easily apply for jobs. Weekday's emphasis on candidate engagement through multiple channels, including email, WhatsApp, and phone calls, sets it apart in the competitive landscape of recruitment agencies.

11 - 50 employees

Founded 2021

☁️ SaaS

🎯 Recruiter

📋 Description

• Looking for a highly motivated **MLOps Engineer** with a strong passion for automation, modern DevOps/MLOps practices, and scalable machine learning operations. • Expertise in cloud-based data platforms—preferably **Google Cloud Platform (GCP)**. • Experience building and managing end-to-end ML pipelines and infrastructure-as-code solutions.

🎯 Requirements

• Demonstrated passion for **automation** and **MLOps/DevOps methodologies**. • Strong understanding of **containerization** and **orchestration** technologies. • Solid foundation in **Machine Learning** and **Data Science** concepts. • Experience building and operating **cloud-native data architectures**, ideally leveraging **GCP services**. • Hands-on experience with **Infrastructure as Code (IaC)** using **Terraform**. • Proven understanding of **CI/CD pipelines** and automation tools such as **Azure DevOps**. • Proficient in **Python** for developing automation workflows and ML components. • Experience working within **Agile development teams**. • Proficient with **Git** for version control and collaborative development. • Extensive experience with **GCP Vertex AI** components including Feature Store, Pipelines, Notebooks, Model Registry, Endpoints, and Monitoring (or equivalent platforms). • Strong problem-solving mindset with high levels of **proactivity, analytical thinking, adaptability, and accountability**. • Excellent **communication, collaboration, coaching, and mentoring** skills with the ability to influence and drive technical improvements. • Demonstrated initiative, innovation, and strategic awareness. • **Core Skills**Machine Learning • MLOps • Terraform • GCP • Python • Vertex AI