We're looking for
Research Engineers!
Responsibilities
- Develop Server-Side Logic: Design, develop, and deploy server-side applications using programming languages like Ruby, Python, Java, and Node.js, ensuring seamless integration with front-end components.
- Implement Database Solutions: Plan, analyze, design, and construct databases, implementing industry standards and best practices for database security and developing structured query language (SQL) queries and back-end database stored procedures.
- Create RESTful APIs: Develop and maintain RESTful APIs and web services, enabling efficient data exchange between client and server applications.
- Apply AI Expertise: Develop and implement Artificial Intelligence solutions, focusing on areas such as machine learning, deep learning, and natural language processing, to drive business value and innovation.
- Collaborate with Teams: Work closely with cross-functional teams to understand user and system requirements, ensuring that back-end solutions meet business needs and align with overall project goals.
Qualifications
- Bachelor's Degree
- Exposure to Agile Development: Familiarity with working in agile, collaborative environments, understanding both front-end and back-end concerns, with a focus on back-end development.
- Programming Language Proficiency: Experience working with programming languages such as Ruby, Python, Java, and Node.js, including server-side JavaScript.
- Database Development: Exposure to planning, analyzing, designing, and constructing databases, including implementing industry standards and best practices for database security.
- API Development: Experience with developing and maintaining RESTful APIs and web services, enabling efficient data exchange between client and server applications.
- Artificial Intelligence Foundations: Exposure to Artificial Intelligence concepts, including machine learning, deep learning, and natural language processing, with the ability to develop and implement AI solutions.
Preferred Technical And Professional Experience
- Brain Inspired Algorithms: Exposure to brain inspired algorithms, learning with memories, and knowledge representation and reasoning, with the ability to apply these concepts to Artificial Intelligence solutions.
- Advanced AI Topics: Familiarity with symbolic and trainable logic, causal inference, knowledge induction, computer vision, and NLP, with the ability to explore and apply these concepts to drive business value and innovation.
- Quantum and Neomorphic Architectures: Exposure to quantum and neomorphic architectures for next-generation AI, with the ability to learn and apply these concepts to develop innovative Artificial Intelligence solutions.
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*Note: Scoutit is an independent candidate sourcing partner for this hiring. All applications, candidate screening, and hiring-related actions are conducted directly by the respective employer’s authorized recruitment team. Relevant candidates will be contacted via email and asked to fill in additional details as part of the next stage of the application process.)
Skills: database,restful apis,artificial intelligence
