Career Opportunities
SPS is looking for world class talent to help us continue pushing the envelope of digital transformations.
Appian Developer
As a Level 1 Certified Appian Developer, you will be responsible for supporting the development, implementation, and maintenance of Appian-based applications. Leveraging your Appian expertise, you will work closely with cross-functional teams to design, build, test, and deploy solutions that meet business requirements. Your role will involve collaborating with stakeholders to understand their needs and translate them into efficient and user-friendly applications within the Appian environment.
Location
PK
Category
AI
Last date
03-30-2024
Job Title:
Appian Developer
Education:
Bachelor's degree in Computer Science, Information Technology, Software Engineering, or related field.
Location:
PK
Knowledge and Skills:
- Appian certification is required.
- Bachelor's degree in Computer Science, Information Technology, Software Engineering, or related field.
- Proficiency in designing and developing Appian applications, including process models, rules, and interfaces.
- Strong understanding of BPMN concepts and workflow design principles.
- Experience with integrations using Appian's integration components (REST, SOAP, etc.).
- Knowledge of Appian architecture, deployment methodologies, and security best practices.
- Ability to collaborate effectively with cross-functional teams and stakeholders.
- Excellent problem-solving and analytical skills.
- Strong communication skills to convey technical concepts to both technical and non-technical stakeholders.
Job Description:
- Collaborate with business analysts and stakeholders to gather requirements and understand application needs.
- Design, develop, and configure Appian-based applications based on specifications and user stories.
- Customize Appian objects, including process models, user interfaces, business rules, and integrations.
- Perform unit testing and debugging to ensure the quality, reliability, and performance of developed applications.
- Assist in the deployment and implementation of Appian solutions, adhering to best practices and guidelines.
- Provide support and troubleshooting for Appian applications, addressing technical issues and enhancements.
- Document technical designs, configurations, and processes for reference and future maintenance.
- Stay updated with Appian platform upgrades, new features, and best practices to continuously improve development processes.
Job Qualification:
- Appian Level 2 certification or higher.
- Experience working on multiple full-cycle Appian implementations.
- Knowledge of other programming languages (Java, JavaScript, etc.) for custom integrations or extensions.
- Familiarity with Agile methodologies for software development.
Gen-AI Engineer (Multi-Modal LLM Specialist)
The AI team at SPS is pioneering the future of AI to tackle some of the most challenging and impactful problems facing industries today. Our focus spans beyond narrow AI applications, diving deep into the world of Generative AI to unlock new potentials in automation, creativity, and decision-making processes. We're on a mission to harness the power of Gen-AI, including advanced LLMs and multi-modal systems, to create transformative solutions for our customers. Join us in our journey to shape the future with AI.
Location
PK
Category
AI
Last date
03-31-2024
Job Title:
Gen-AI Engineer (Multi-Modal LLM Specialist)
Education:
Degree in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.
Location:
PK
Knowledge and Skills:
- Hands-on experience with multi-modal AI systems that integrate text, image, and possibly audio and video data.
- Familiarity with cloud services (IBM, AWS, GCP, Azure) for deploying scalable AI solutions.
- Knowledge of LLMOps practices to streamline the lifecycle of AI model development, deployment, and maintenance.
- Exceptional problem-solving abilities and creativity in applying AI for new use cases.
- Excellent communication and teamwork skills, with a track record of successful collaboration on complex projects.
Job Description:
- Develop and optimize state-of-the-art Gen-AI and multi-modal LLMs to address a variety of challenges across different domains.
- Lead projects that explore new frontiers in AI, including generative text, image synthesis, and voice generation, ensuring integration and scalability.
- Innovate in the development of RAG systems, enhancing their ability to leverage diverse data sources for more comprehensive understanding and generation tasks.
- Work closely with product teams to incorporate Gen-AI capabilities into SPS's offerings, driving value through AI-driven solutions.
- Stay abreast of the latest research and technological advancements in Gen-AI.
- Collaborate with a multidisciplinary team to define problem statements, devise AI-driven solutions, and measure impact, ensuring alignment with business goals and user needs
As a Gen-AI Engineer at SPS, you'll be at the cutting edge of AI, working with a team of passionate innovators focused on generative AI technologies. You will play a critical role in designing, developing, and deploying sophisticated Gen-AI models, including multi-modal Large Language Models, to solve novel and complex problems. This role demands a blend of theoretical knowledge and practical expertise in AI, creativity in model application, and a commitment to pushing the boundaries of what AI can achieve.
Job Qualification:
- Degree in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.
- Demonstrated experience in machine learning, NLP, and specifically in the development and application of Gen-AI and LLM technologies.
- Proficiency with AI and machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries/tools for generative models (e.g., Hugging Face Transformers).
- Strong programming skills in Python, with experience in software development best practices and version control systems (e.g., Git).
- A portfolio of projects or publications showcasing innovative applications of Gen-AI.