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Tech Stack
Tools & technologiesAWSCloudDockerKubernetesTerraform
About the role
Key responsibilities & impact- Maintain and enhance the existing consumption forecasts per country pipeline
- Develop new sector level gas consumption forecasts and align with the current gas generation for power forecast
- Apply machine learning or statistical techniques to solve complex problems.
- Use current MLOps platform to run R&D and expand our forecasts to new geographies or domains
- Discuss the roadmap in collaboration with the product team.
- Collaborate with engineers to integrate model outputs into APIs and customer-facing applications.
- Improve model robustness, performance, and interpretability.
- Contribute across the full lifecycle, from initial data exploration and research to production deployment.
Requirements
What you’ll need- At least 2 years of experience in the DS role, deploying models into production
- Experience developing and deploying models using MLOps platforms (Dataiku, Databricks, Sagemaker, etc.)
- Familiar with some software engineering best practices.
- Proven experience delivering end-to-end ML solutions that produce business value.
- Comfortable working with Git, code reviews, and Agile methodologies.
- Strong command of written and spoken English.
- **Desirable**
- Experience with AWS (or another cloud provider), using Terraform
- Experience with containerization (Docker) and orchestration (Kubernetes)
Benefits
Comp & perks- Kpler is committed to providing a fair, inclusive and diverse work-environment.
- We believe that different perspectives lead to better ideas, and better ideas allow us to better understand the needs and interests of our diverse, global community.
- Our team of over 700 experts from 35+ countries works tirelessly to transform intricate data into actionable strategies, ensuring our clients stay ahead in a dynamic market landscape.
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningstatistical techniquesdata explorationmodel deploymentmodel integrationmodel performancemodel interpretabilityend-to-end ML solutionssoftware engineering best practicesAgile methodologies
Soft Skills
collaborationcommunicationproblem-solving