EcoPlant is a rapidly growing global awards-winning, AI-based SaaS solution that creates a

green industrial world by minimizing energy waste, CO2, and downtime in industrial plants,

bringing machine intelligence to compressed air systems.

We are looking for an experienced MLOps Engineer.

Responsibilities:

• Develop and support a platform that enables data scientists to rapidly develop, train,

and experiment with classic algorithms and machine learning models.

• Alongside our Data Scientists, support machine learning-based solutions to our AI

products from research to production.

• Lead complex projects from scratch while communicating with different stakeholders.
• Build data monitoring tools for feature exploration and production model verification.
• Adapt standard machine learning methods to exploit modern environments best.
• Work closely with data scientists and domain experts on time series datasets.

Requirements:

• BA in Computer Science or a similar degree, MSC advantage
• Experience with developing and maintaining production machine learning pipelines
• 4+ years of hands-on experience in coding using Python
• 2+ years of experience as a Machine Learning Engineer
• Independent, self-motivated, and auto-didactic with creative and critical thinking

capabilities

• Experience in building machine learning models deployed to production environments
• Familiarity with MLOPS tools like MLFlow, ArgoCD, SageMaker, and others - Advantage
• Familiarity with monitoring tools - Advantage
• Excellent problem-solving and critical thinking skills
• Knowledge of software engineering best practices, version control, deployment
• pipelines, testing, and object-oriented design (OOD).
• Knowledge of Machine Learning tools and frameworks: sklearn, Numpy, Pandas,

PyTorch, TensorFlow, Keras.

• Familiarity with data tools such as DynamoDB, AWS-Athena, AWS-Glue, influxDB, etc
• Experience with AWS – Advantage
• Experience with CI/CD and agile methodologies