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ALGOTEQUE is an IT consultancy firm that helps startups, mid-sized and large corporations to create and deliver innovative technologies.Our team has a successful track record in designing, developing, implementing, and integrating software solutions (AI, ML, BI, Web, Automation) for Telecom, Energy, Bank, Insurance, Pharma, Automotive, Industry, e-commerce. We deliver our services both in fixed-price and time-and-materials models, helping our customers achieve their business and IT strategies.
- Collaborate with data scientists, engineers, and analysts to gather business requirements and design appropriate machine learning solutions.- Take part in the full lifecycle of data science projects, leveraging DevOps practices such as code management, model management, and CI/CD pipelines.- Develop well-structured, testable, and efficient code.- Work closely with the engineering team to optimize and enhance the deployment of models in production.- Partner with cross-functional teams to seamlessly integrate machine learning models into existing systems, ensuring they are scalable and efficient.
- 3+ years of Python experience – Expertise in writing clean, modular, and maintainable Python code following OOP principles.- Solid understanding of AWS Cloud (experience with S3, EC2, Lambda).- Hands-on experience with Docker, including containerizing applications and optimizing Docker images.- Proficiency in source control using GitLab or GitHub, including CI/CD pipeline setup and management.- Experience in developing, managing, and consuming RESTful APIs.Nice to have:- Familiarity with Argo Workflows or Argo CD for orchestrating complex workflows and Kubernetes-based deployments.- Proficiency in writing Bash scripts for automation, system configuration, and maintenance tasks.- Experience with Kubeflow, Airflow, or Dagster for orchestrating machine learning workflows on Kubernetes.