Make a Measurable and Mission-Critical Impact
Bring your unique talents and experience to the market leader in Industrial IoT (IIoT) solutions. Grow your passion into a rewarding profession by executing ETL and Machine Learning projects that drive our business forward. In this dynamic role, you'll collaborate with a global team to solve complex problems, implement cutting-edge solutions, and contribute to the improvement of our best practices. Join us in making a measurable and mission-critical impact as a Data ETL & ML Engineer at Anova.
About the Role:
- Collaborate for Success
- Execute ETL and Machine Learning projects end-to-end.
- Translate business goals into data ETL and data science problems.
- Plan roadmaps, set up data pipelines, evaluate and monitor models.
- Explain results to business stakeholders.
- Make technical decisions and contribute significantly to solution implementation.
- Provide guidance to data scientists and team members.
- Focus on delivering value.
- Build ETL and ML-Powered Solutions
- Solve Machine Learning problems based on time series data.
- Work on industrial IoT sensors that collect real-time data globally.
- Focus on time series analysis, forecasting, categorization, and anomaly detection.
- Use both supervised and unsupervised techniques.
- Participate in data ETL projects, unifying data streams from various product platforms and market segments into One Anova data stream.
- Advocate for Quality
- Contribute to the improvement of best practices and Ways of Working around ETL, Data Science, and Machine Learning.
- Continuously review and adapt Ways of Working to deliver high-quality ETL and ML-powered solutions that create a positive impact for clients.
What you’ll need to succeed:
- Hands-on experience delivering production-level cloud-native Machine Learning solutions; we love to hear about the cool stuff that you have built!
- Strong understanding of concepts around feature engineering, ML algorithms, model training, and evaluation
- Solid experience in at least a few frameworks of the modern ML tech stack (e.g., Tensorflow, scikit-learn, MLFlow, Azure ML, Spark (Databricks)); our ML tech stack is cloud-native and we aspire to follow the best MLOps practices
- Experience with time series forecasting and Azure Databricks is a plus!
- Good understanding of the best practices of software engineering and DevOps; things like git, linters, unit tests, CI/CD pipelines are something that you understand and use daily
- Knowledgeable and adept in Agile methodologies, including experience working in an Agile team environment
- Proficient in written and spoken English
ABOUT ANOVA
We are very proudly “one” Anova — built by integrating the best in IIoT technology and expertise. Anova monitors more than 1,000,000 assets across nearly 80 countries for over 2000 clients, from family businesses to the largest LPG, Industrial Gases, and chemicals companies in the world. Our scale is global. Our service is local. We partner directly with customers, taking a holistic approach and delivering tailored solutions that drive innovation and improvement and make our world more safe, efficient, and reliable.
We believe that rewarding work should reward you. As part of Anova, your work, integrity, and commitment are rewarded through competitive compensation and reward strategies, through sincere appreciation, and through opportunities for growth and advancement. We put people first by providing benefits that support your life and well-being, from health and finance, to recognition and reward, and so much more — we've got you covered.
- Benefits based on best practices from around the world.
- People putting people first.
- Work that works for you.
