Power Digital
- Mlops Engineer
Mlops Engineer
Engineering · Colombia · Remote possible
Job description
Who We Are:
We are a tech-enabled growth firm–at the intersection of marketing, consulting & data intelligence–igniting revenue and brand recognition for leading and emerging companies around the world. As a people-first firm, we value diversity in backgrounds and experiences. We strongly believe our people and culture are key to our success. Our vision is to be recognized as the most valued and respected private growth marketing firm in the world–with a scalable brand, culture and services.
As a full-service growth marketing firm, we offer best-in-class services including: SEO, Content Marketing, Paid Media, Social Media Marketing, Programmatic + CTV, Public Relations, Influencer Marketing, Email + SMS, Conversion Rate Optimization, Retail Marketing, Creative, and Web Development. Here at Power Digital, we are hyper-focused on helping brands drive revenue growth and brand recognition, ultimately driving irrefutable value for our clients.
At the heart of Power Digital is our proprietary technology, nova, which analyzes businesses through first-party data, simplifying investment planning for marketing and diligence in M&A––putting marketers in a strategic seat at the table––and providing value in unparalleled ways.
Managing billions in media, our dynamic team––of consultative marketers, creatives, analysts and technologists––challenge traditional ways of planning and measurement through meticulous testing and data science across each milestone of the customer journey.
***Proficiency in spoken and written English at an advanced level is required for this role.
***This is a contract position with the intent to hire as a full-time employee 30-90 days after the start date.
A day in the life:
- In this role, you will apply your expertise in ML Ops to streamline the deployment, monitoring, and operational management of machine learning models, ensuring they drive maximum impact and efficiency within our business, nova applications, and client performance marketing strategies. Your day will involve close collaboration with our nova product, data science and engineering teams, developing robust pipelines and infrastructure that bring our ML models from conception to production seamlessly.
Responsibilities:
- Design, implement, and maintain scalable ML Ops infrastructure that supports model training, deployment, and monitoring, ensuring high availability and performance.
- Work closely with Data Scientists to transition models into production, optimizing for scalability and efficiency.
- Develop CI/CD pipelines for automated testing, deployment, and scaling of ML models.
- Implement monitoring solutions for performance tracking, anomaly detection, and real-time alerting to ensure models maintain accuracy over time.
- Advocate for and apply best practices in machine learning engineering and operations, fostering a culture of continuous improvement and innovation.
- Engage with stakeholders across the company, including nova product, Data Intelligence, and IT teams, to align ML initiatives with business goals and customer needs.
- Contribute to the strategic direction of the ML/AI and Data Analysis team, identifying opportunities for leveraging ML to drive business value.
- Coordinate and partner with the overall team and other ML Engineering, promoting skill development and fostering a collaborative and inclusive team environment.
- Coordinate cross-functional projects, ensuring alignment between the ML/AI team's objectives and company-wide goals.
- Establish guidelines and standards for ML model development and deployment, ensuring best practices in security, scalability, and maintainability.
- Lead by example in adopting agile methodologies, optimizing team workflows for efficiency and effectiveness in ML project delivery.
Role Requirements:
- Bachelor's degree in Computer Science, Engineering, or a related field, with a strong focus on machine learning or artificial intelligence.
- Proven experience in ML Ops, Data Engineering, or a similar role, with a track record of successfully deploying and maintaining ML models in production environments.
- Proficiency in programming languages such as Python, and experience with ML frameworks (e.g., TensorFlow, PyTorch) and cloud services (AWS, Snowflake, GCP, and/or Azure).
- Deep understanding of CI/CD practices, containerization technologies (Docker, Kubernetes), and data pipeline tools (e.g., Airflow).
- Excellent communication skills, with the ability to translate complex technical concepts to non-technical stakeholders.
- Strong problem-solving abilities and a passion for innovation in the ML/AI field.
Key Performance Indicators (KPIs)
- Efficiency and scalability of ML deployments.
- Improvement in model performance and accuracy post-deployment.
- Reduction in time-to-market for new models.
- Team skill growth and retention.
- Alignment and contribution to strategic business outcomes through ML initiatives.
Most Important Things (MITs)
- Excellence in operationalizing ML models to drive real-world impact.
- Fostering innovation and continuous learning within the ML Ops domain.
- Strategic contribution to the overarching goals of the nova ML/AI and Data Analysis team.
Power Digital’s people and culture are at the core of our success, which is why diversity in our team’s backgrounds and experiences are paramount. We are an Equal Opportunity Employer and our employees are people with different strengths, experiences, and backgrounds, who strive to make an impact inside and outside of the workplace. Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion and many other parts of one’s identity. All of our employees' points of view are key to our success, and inclusion is everyone's responsibility.
Please be aware of fictitious job openings, consulting engagements, solicitations, or employment offers from suspicious sources. These engagements may be an attempt to obtain private information, or to induce you to pay a fee for services related to recruitment or training. Power Digital does NOT charge any application, processing, or training fee at any stage of the recruitment or hiring process. All genuine job openings will be posted on our careers page at https://powerdigitalmarketing.com/company/careers/. If you have any doubts about the authenticity of any messaging behalf of Power Digital, please send us an email at recruiting@powerdigital.com before taking any further action in relation to the correspondence.