Category: Featured

We are looking for a full stack developer who is proficient in node.js and angular. Our developer has at least 3+ years experience in each of the latter and solid experience in building global SaaS applications.

Responsibilities

• Developing and Maintaining Web Applications: Design, build, and maintain efficient, reusable, and reliable code using Node.js for server-side development and Angular for client-side development.
• Collaborating with Cross-Functional Teams: Work closely with designers, product managers, and other developers to create a seamless user experience and ensure the technical feasibility of UI/UX designs.
• Implementing APIs and Integrations: Develop RESTful APIs and integrate third-party services and APIs to enhance the functionality of web applications.
• Ensuring Application Performance and Scalability: Optimize applications for maximum speed and scalability, addressing performance issues and implementing best practices for efficient resource management.
• Testing and Debugging: Write and maintain unit tests, integration tests, and end-to-end tests to ensure code quality. Debug and resolve issues across the stack, ensuring the stability and security of applications.

Qualifications

• Proficiency in JavaScript, Node.js, and Angular: Strong knowledge and hands-on experience with JavaScript, including proficiency in both Node.js for backend development and Angular for frontend development.
• Experience with RESTful APIs and Web Services: Demonstrated experience in designing, developing, and consuming RESTful APIs and web services, ensuring seamless integration between different parts of the application.
• Understanding of Database Systems: Proficiency in working with both SQL and NoSQL databases, such as MySQL, PostgreSQL, MongoDB, or similar, including designing database schemas and writing efficient queries.
• Familiarity with Version Control Systems: Experience using version control systems like Git for code collaboration, version management, and maintaining a robust and organized codebase.
• Strong Problem-Solving Skills and Attention to Detail: Ability to troubleshoot and debug issues efficiently, with a keen eye for detail and a methodical approach to solving complex technical problems.

As an AI Expert specializing in automotive pricing, you will be responsible for developing and implementing AI models that accurately forecast vehicle prices and market trends. You will work closely with our data science and software engineering teams to design AI tools that support dynamic pricing, maximizing profitability, and improving customer satisfaction. 

Key Responsibilities:

• Design, develop, and deploy AI algorithms tailored for predictive modeling of automotive pricing.
• Analyze large datasets to understand market dynamics, customer behavior, and price sensitivity.
• Collaborate with product and engineering teams to integrate AI models into existing platforms.
• Continually monitor and optimize AI systems for performance and accuracy.
• Conduct A/B testing and pilot studies to validate model effectiveness and iterate as necessary.
• Keep abreast of the latest AI research relevant to automotive pricing strategies.
• Provide insights and recommendations to the business team to inform pricing decisions.
• Document AI development processes and model functionalities for technical and non-technical stakeholders.

Required:

• Master’s or Ph.D. in Computer Science, Data Science, Machine Learning, Statistics, or a related field.
• Minimum of 5 years of experience in AI/ML, with at least 2 years focused on pricing optimization.
• Strong background in predictive modeling, regression, classification, and clustering techniques.

Preferred:

• Proficient in programming languages such as Python, R, or Scala, and familiarity with AI frameworks like TensorFlow or PyTorch.
• Experience with big data technologies such as Hadoop, Spark, and Kafka.
• Understanding of microeconomics and econometrics, particularly in the context of price theory.
• Familiarity with the automotive retail market and the factors influencing vehicle valuation.
• Demonstrated ability to translate complex AI/ML concepts into actionable business strategies.
• Excellent communication and collaboration skills to work effectively in a cross-functional team.
• Experience with cloud services (AWS, Azure, or GCP).

We are seeking a highly skilled and experienced AI Expert with a specialization in visual detection to join our team. The ideal candidate will have a strong background in computer vision, image recognition, and deep learning. Your primary role will be to develop and optimize AI models that can accurately detect and classify objects, analyze visual data, and provide actionable insights.

Key Responsibilities:

• Develop advanced computer vision algorithms and AI models for object detection, segmentation, and classification.
• Conduct research and implement state-of-the-art methods in visual detection and deep learning.
• Optimize and train models for high accuracy and real-time performance on various platforms.
• Collaborate with engineering teams to integrate AI models into software applications and products.
• Work with large, complex datasets to improve model robustness across diverse conditions.
• Maintain up-to-date knowledge of the field by tracking the latest AI trends in visual detection.
• Write technical documentation and provide clear explanations of algorithm functionality to stakeholders.
• Assist in patenting novel technologies.

Requirements:

• PhD in Computer Science, AI, Machine Learning, or related field, with a focus on computer vision; or a Master’s degree with equivalent industry experience.
• At least 3 years of experience in developing machine learning models for visual detection.
• Expertise in machine learning libraries and frameworks such as TensorFlow, Keras, or PyTorch.
• Proficiency in programming languages like Python, C++, or Java.
• Demonstrated experience with image and video processing techniques.
• Strong foundation in algorithms, linear algebra, and statistics.
• Experience with GPU computing and optimization for inference on edge devices.
• Ability to work with cross-functional teams to turn prototypes into production-ready solutions.
• Excellent problem-solving, analytical, and communication skills.
• Prior experience in deploying AI models in a cloud environment (AWS, Azure, GCP) is a plus.
• Publications in relevant AI/Computer Vision journals or conferences would be highly regarded.