AI COLLABORATOR – SENIOR DATA ENGINEERThis professional will be responsible for designing, constructing, and maintaining the systems and infrastructure that allow for the processing, storage, and retrieval of large volumes of data with the later focus of development of AI/ML capabilities. Some of the main activities in this professional's work will include the analysis of different data sources and the assessment of the integration capabilities, storage, extraction, and transformation pipelines. Among the key skills for this role are knowledge of data governance policies, DataOps and MLOps practices, observability data strategies, and ensuring Responsible AI compliance. Previous experience with building large-scale data systems is appreciated.The Data Engineer will have the following key responsibilities: Develop, construct, test, and maintain architectures such as databases and large-scale data processing systems.Discover opportunities for data acquisition and new uses for existing data.Develop data set processes for data modeling, mining, and production.Integrate systems together using advanced programming languages and tools.Advise on ways to improve data reliability, efficiency, observability, and quality.Collaborate with data architects, modelers, and IT team members on project goals.Develop and maintain technical documentation related to database design, data flow diagrams, and process definitions.Occasionally present AI Collaborator overview, our ecosystem approach, key industry and technology topics, and startup solution demos at conferences, workshops, and client presentations.Provide recommendations on data strategies for developing responsible and performant AI and machine learning capabilities.Basic Qualifications:Fluent English. Bachelor's degree in Computer Science, Software Engineering, or related field.Minimum of 5 years of experience as a data engineer or in a similar role.Experience with AI/ML solutions.Experience with DataOps, MLOps, and Responsible AI.Expertise with large-scale project tools: Hadoop, Spark, Kafka, Kubernetes, etc.Data Warehousing and Data Lake experience.Profound knowledge of relational SQL and NoSQL databases, including Postgres and/or Elastic Search, and/or Big Query and/or Cassandra.Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.Experience with cloud services: AWS, GCP, Azure, etc.Experience with stream-processing systems: Storm, Spark-Streaming, etc.Proficiency with programming languages: Bash, Python, Golang, Rust, etc.Strong organizational and project management skills.Excellent written and verbal communication skills.Preferred Qualifications:Strong technical acumen and agility to navigate, structure, and pitch business ideas with new technologies Relationship management, partnership management experience in an entrepreneurial / technology environmentIntellectual curiosity with regard to new technologies, business models, or creative solutions that can serve clients in an innovative mannerStrong interest in and understanding of the latest enterprise technology innovation trends and resulting impactsProfessional Skill Requirements:Strong team-oriented and cross-group collaboration experience.Able to work in a highly distributed work environment supporting multiple time zonesWorks creatively and analytically in a problem-solving environment.Excellent leadership and management skillsExcellent communication (written and oral) and interpersonal skills.Ability to multi-task, organize, and prioritize work to switch between quickly, and balance, critical thinking, and executionTakes personal ownership of projects and drive towards successful completionExcellent written and verbal communication skillsBenefitsRemote workInternational experienceOpportunity to work on cutting-edge technologiesWork with a team of talented and passionate engineersCollaborative and supportive work environmentWhy you'll love working here:Your entrepreneurial spirit will be supported. We love team members who are passionate about collaborating to build something meaningful. Our people own their work and engage seamlessly with resources around the world to accomplish desired outcomes and success.What else you should know:AI Collaborator was founded to think and work differently while embracing what has the potential to be the greatest era of technological advancement ever to be experienced by man. In doing so, we challenged ourselves to recognize both the benefits and potential consequences of AI. That's why we are committed to responsible, conscientious AI innovation.
