Dataforest seeks a Tech/Team Lead Data Science to join a friendly, supportive team. We are Data Engineering company working on AI adoption in different industries.
We are looking for a person who likes challenges. This position offers the possibility of working as a Manager, however, to keep track of ongoing changes in the AI field and participate in AI projects.
As a Tech/Team Lead, you will collaborate with the CEO and CTO to define proper development processes, run an R&D practice, participate in pre-sale, and lead ongoing AI projects.
Skills Requirements:
• 5+ years of experience in Data Science or Data engineering field;
• 4+ years of experience with Python;
• Strong management and leadership skills;
• Knowledge of data algorithms and data structures is a MUST;
• Experience with business analysis and project management;
• Knowledge of DS and Machine learning algorithms.
• Experience with LLM, RAG , Langchain;
• Experience with Databricks, Snowflake (Optional);
• Knowledge of cloud solutions: AWS or Azure or GCP (Optional);
• Experience in multithreading/multiprocessing approaches;
• Proficiency with Docker, Kubernetes, and CI/CD pipelines;
• Previous experience in a Team Lead role;
Key responsibilities:
• Manage Data science department;
• Perform code review, and data scientists assessment;
• Develop DS Architecture;
• Participate in pre-sale activities;
• Lead a data science projects;
• Write clean and well-structured code that is easy to read and maintain;
• Participate in decision-making processes related to design architecture, solution development, architectural, and code reviews;
• Develop high-load solutions;
• Conduct R&D work with new technology;
• Maintain high-quality coding standards within the team.
We offer:
• Great networking opportunities with international clients, challenging tasks;
• Building interesting projects from scratch using new technologies;
• Personal and professional development opportunities;
• Competitive salary fixed in USD;
• Paid vacation and sick leaves, medical insurance;
• Flexible work schedule;
• Friendly working environment with minimal hierarchy;
• Team building activities and corporate events.
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