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Artificial Intelligence • Machine Learning • Natural Language Processing • Software • Conversational AI
The role involves leading technical evaluations, creating POCs, advising on architecture, and collaborating with sales and support for customer success in the EMEA region.
Top Skills:
APIsDockerJavaScriptKubernetesPythonRustTypescript
Artificial Intelligence • Machine Learning • Natural Language Processing • Software • Conversational AI
The Solutions Architect will lead architecture and implementation of enterprise deployments for Deepgram's voice AI solutions, ensuring technical success in post-sales engagements and collaborating with multiple teams to improve customer outcomes.
Top Skills:
DockerHelmJavaScriptKubernetesPythonRust
Artificial Intelligence • Machine Learning • Natural Language Processing • Software • Conversational AI
Lead complex post-sales engagements as Solutions Architect, focusing on architecture, implementation, and technical support for enterprise customers in APAC. Collaborate closely with various teams to optimize integrations and deliver high customer satisfaction.
Top Skills:
DockerHelmJavaScriptKubernetesPythonTypescript
iKnowHow S.A. is a leading Software & Robotics Solutions company operating internationally. Within just a couple of years, our team has grown by more than 80%, we have moved into a new spacious and modern office, and we have embarked on several exciting projects in digital transformation, custom software, and robotics.
We are now looking for a highly motivated and skilled Data Engineer / Analytics to join our team. The ideal candidate will have a passion for uncovering insights, analyzing data, and making data-driven decisions that drive business growth.
Responsibilities:
- Collect, clean, and analyze large datasets to identify trends and patterns.
- Design and maintain dashboards and reports for various stakeholders.
- Collaborate with cross-functional teams to understand data needs and provide actionable insights.
- Develop predictive models to support decision-making processes.
- Ensure data accuracy and integrity by performing routine checks and validations.
- Stay up-to-date with the latest trends and technologies in data analytics and visualization tools.
- Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.
- Proven experience as a Data Analyst or in a similar role (at least 3 years).
- Knowledge of data modeling methodologies and Data warehousing practices
- Design and implement data integration solutions, including data extraction, transformation, and loading (ETL) processes, into Data Lakes or Data Warehouses using modern cloud-based platforms
- Develop and maintain robust, well-structured data models to support effective data analysis and generate actionable insights
- Proficiency in data visualization tools such as Tableau, Power BI, or similar.
- Strong knowledge of programming languages such as Python, R, or SQL.
- Excellent analytical and problem-solving skills.
- Ability to communicate complex data findings in a clear and concise manner.
- Experience with statistical modeling and machine learning techniques is a plus.
- An attractive salary package
- Private health insurance plan
- Career development and growth opportunities
- An amazing private & open-office workspace in Athens
- Continuous training via personalized seminars
- Stable and enjoyable working environment
What you need to know about the Calgary Tech Scene
Employees can spend up to one-third of their life at work, so choosing the right company is crucial, not just for the job itself but for the company culture as well. While startups often offer dynamic culture and growth opportunities, large corporations provide benefits like career development and networking, especially appealing to recent graduates. Fortunately, Calgary stands out as a hub for both, recognized as one of Startup Genome's Top 100 Emerging Ecosystems, while also playing host to a number of multinational enterprises. In Calgary, job seekers can find a wide range of opportunities.
