Bachelors Degree in Computer Science or equivalent experience with a degree in engineering. Working experience as a full stack developer. Experience working with server technologies including Apache, ISS, Node.js, Nginx and J2EE. Experience in API design and Agile development. Experience with AJAX and strong knowledge of data structures, system design, and algorithms Experience working with languages such as Java, .Net, Python, PHP or Ruby. Collaborate with UI/UX designers to implement visually appealing and user-friendly interfaces. Create responsive user interfaces and ensure seamless integration with the back-end systems. Understanding business requirements and translating them into efficient and effective websites and dashboards. Basic authentication mechanisms like SSO/LDAP/OAUTH Cloud deployment, preferably on Azure or AWS Document technical specifications and system architecture for reference purposes. Participate in code reviews to maintain code quality and ensure adherence to coding standards. Strong knowledge of Linux, PHP and MySQL, with working understanding of MongoDB, PostgreSQL, AngularJS, Express.js, Oracle, React, Ember and Node.js. Fluent in CSS (Foundation or Bootstrap), JavaScript and HTML, with an understanding of CSS preprocessors including Sass and LESS. Proficient in JS-based tools including Bower, Grunt and Gulp. Understanding of libraries including Backbone.js and jQuery. Excellent problem-solving skills and attention to detail. Self-motivated and able to work independently, with a proactive attitude towards learning new technologies. Strong communication and interpersonal skills, with the ability to work effectively in a collaborative team environment. The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as work experience, education, and skill level.

Job Title: AI Consultant Job Description: We are seeking a skilled AI Consultant to join our team. The ideal candidate will have a strong background in artificial intelligence and machine learning, with hands-on experience in Python and software development. Key Responsibilities: Develop and implement AI models and algorithms to solve business problems. Collaborate with cross-functional teams to integrate AI solutions into existing systems. Analyze and interpret complex data sets to provide actionable insights. Stay updated with the latest advancements in AI and machine learning technologies. Provide technical guidance and support to clients and team members. Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Proficiency in Python and experience with AI/ML libraries such as TensorFlow, PyTorch, or scikit-learn. 3-5 years of experience in AI development and deployment. Strong problem-solving skills and the ability to work independently. Excellent communication and teamwork abilities.

We are seeking a skilled Deep Learning Engineer to join our team. The ideal candidate will have a strong background in Artificial Intelligence and Deep Learning, with hands-on experience in Python and software development Food allowance Annual bonus

Job Title: AI Developer Job Description: We are seeking a skilled AI Developer to join our team. The ideal candidate will have a strong background in artificial intelligence and machine learning, with hands-on experience in Python and software development Key Responsibilities: Develop and implement AI models and algorithms to solve business problems. Collaborate with cross-functional teams to integrate AI solutions into existing systems. Analyze and interpret complex data sets to provide actionable insights. Stay updated with the latest advancements in AI and machine learning technologies. Provide technical guidance and support to clients and team members. Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Proficiency in Python and experience with AI/ML libraries such as TensorFlow, PyTorch, or scikit-learn. 3-5 years of experience in AI development and deployment. Strong problem-solving skills and the ability to work independently. Excellent communication and teamwork abilities.

Job Title: Deep Learning Engineer Job Description: We are seeking a skilled Deep Learning Engineer to join our team. The ideal candidate will have a strong background in artificial intelligence and machine learning, with hands-on experience in Python and software development Key Responsibilities: Develop and implement AI models and algorithms to solve business problems. Collaborate with cross-functional teams to integrate AI solutions into existing systems. Analyze and interpret complex data sets to provide actionable insights. Stay updated with the latest advancements in AI and machine learning technologies. Provide technical guidance and support to clients and team members. Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Proficiency in Python and experience with AI/ML libraries such as TensorFlow, PyTorch, or scikit-learn. 3-5 years of experience in AI development and deployment. Strong problem-solving skills and the ability to work independently. Excellent communication and teamwork abilities.

Opportunity: We are seeking a highly skilled and experienced AI Infrastructure Engineer (or MLOps Engineer) to design, build, and maintain the robust and scalable AI/ML platforms that power our cutting-edge asset allocation strategies. In this critical role, you will be instrumental in enabling our AI Researchers and Quantitative Developers to efficiently develop, deploy, and monitor machine learning models in a high-performance, secure, and regulated financial environment. You will bridge the gap between research and production, ensuring our AI initiatives run smoothly and effectively. Responsibilities: Platform Design & Development: Architect, implement, and maintain the end-to-end AI/ML infrastructure, including data pipelines, feature stores, model training environments, inference serving platforms, and monitoring systems. Environment Setup & Management: Configure and optimize AI/ML development and production environments, ensuring access to necessary compute resources (CPUs, GPUs), software libraries, and data. MLOps Best Practices: Implement and advocate for MLOps best practices, including version control for models and data, automated testing, continuous integration/continuous deployment (CI/CD) pipelines for ML models, and robust model monitoring. Resource Optimization: Manage and optimize cloud computing resources (AWS, Azure, GCP, or on-premise) for cost-efficiency and performance, specifically for AI/ML workloads. Data Management: Collaborate with data engineers to ensure seamless ingestion, storage, and accessibility of high-quality financial and alternative datasets for AI/ML research and production. Tooling & Automation: Select, implement, and integrate various MLOps tools and platforms (e.g., Kubeflow, MLflow, Sagemaker, DataRobot, Vertex AI, Airflow, Jenkins, GitLab CI/CD) to streamline the ML lifecycle. Security & Compliance: Ensure that all AI/ML infrastructure and processes adhere to strict financial industry security standards, regulatory compliance, and data governance policies. Troubleshooting & Support: Provide expert support and troubleshooting for AI/ML infrastructure issues, resolving bottlenecks and ensuring system stability. Collaboration: Work closely with AI Researchers, Data Scientists, Software Engineers, and DevOps teams to translate research prototypes into scalable production systems. Documentation: Create and maintain comprehensive documentation for all AI/ML infrastructure components, processes, and best practices. Qualifications: Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, or a related quantitative field. Experience: 3+ years of experience in a dedicated MLOps, AI Infrastructure, DevOps, or Site Reliability Engineering role, preferably in the financial services industry. Proven experience in designing, building, and maintaining scalable data and AI/ML pipelines and platforms. Strong proficiency in cloud platforms (AWS, Azure, GCP) including services relevant to AI/ML (e.g., EC2, S3, Sagemaker, Lambda, Azure ML, Google AI Platform). Expertise in containerization technologies (Docker) and orchestration platforms (Kubernetes). Solid understanding of CI/CD principles and tools (Jenkins, GitLab CI/CD, CircleCI, Azure DevOps). Proficiency in scripting languages like Python (preferred), Bash, or similar. Experience with Infrastructure as Code (IaC) tools (e.g., Terraform, CloudFormation, Ansible). Familiarity with distributed computing frameworks (e.g., Spark, Dask) is a plus. Understanding of machine learning concepts and lifecycle, even if not directly developing models. Technical Skills: Deep knowledge of Linux/Unix operating systems. Strong understanding of networking, security, and database concepts. Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack). Familiarity with data warehousing and data lake concepts. Preferred candidate profile Exceptional problem-solving and debugging skills. Proactive and self-driven with a strong sense of ownership. Excellent communication and interpersonal skills, able to collaborate effectively with diverse teams. Ability to prioritize and manage multiple tasks in a fast-paced environment. A keen interest in applying technology to solve complex financial problems.

Job Summary: We are seeking a highly skilled and passionate Full Stack Developer to join our growing engineering team. The ideal candidate will be responsible for designing, developing, and maintaining both front-end and back-end components of our web applications. You will play a crucial role in the entire software development life cycle, from concept and design to testing and deployment, ensuring high performance and responsiveness to requests from the front-end. Responsibilities: Design, develop, and maintain robust and scalable web applications using React.js for the front-end and Node.js/Python for the back-end. Implement user-friendly and responsive UIs with React.js, leveraging modern front-end development practices. Develop and manage RESTful APIs using Node.js and Python, ensuring efficient data exchange and application logic. Design, implement, and manage relational databases using MySQL, optimizing for performance and data integrity. Utilize Redis for caching and real-time data processing to enhance application performance and responsiveness. Collaborate closely with product managers, designers, and other developers to understand requirements, define specifications, and deliver high-quality features. Write clean, well-documented, and testable code. Participate in code reviews to maintain code quality and share knowledge within the team. Troubleshoot and debug issues, identify root causes, and implement effective solutions. Stay up-to-date with emerging technologies and industry best practices. Contribute to the overall architecture and technical strategy of our products. Required Skills and Experience: Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience. Proven professional experience as a Full Stack Developer. Front-End Development with React.js: Solid understanding of React.js fundamentals, hooks, and component lifecycle. Experience with state management libraries (e.g., Redux, Context API). Proficiency in HTML5, CSS3, and JavaScript (ES6+). Experience with front-end build tools (e.g., Webpack, Babel). Back-End Development with Node.js: Extensive experience with Node.js and popular frameworks (e.g., Express.js, NestJS). Strong understanding of asynchronous programming and event-driven architecture. Experience building and consuming RESTful APIs. Proficiency in Python: Experience with Python for back-end development (e.g., Django, Flask). Ability to integrate Python services with Node.js applications where necessary. Database Management: In-depth knowledge and hands-on experience with MySQL, including database design, querying, and optimization. Experience with ORMs (e.g., Sequelize for Node.js, SQLAlchemy for Python). Caching and Data Storage: Practical experience with Redis for caching, session management, and real-time data solutions. Experience with version control systems (e.g., Git). Understanding of software development best practices, including agile methodologies. Excellent problem-solving, analytical, and communication skills. Ability to work independently and as part of a collaborative team. Bonus Points: Experience with cloud platforms (e.g., AWS, Azure, Google Cloud). Familiarity with Docker and Kubernetes. Experience with testing frameworks (e.g., Jest, React Testing Library, Mocha, Chai, Pytest). Knowledge of CI/CD pipelines.