Zartis, a prominent AI transformation and technology consulting partner, is on the lookout for a Senior AI Software Engineer. This role is tailored for tech-savvy professionals eager to contribute to cutting-edge technological innovations. Zartis focuses on partnering with ambitious organizations aiming to design, build, and scale technology solutions that have a significant real-world impact.
About Zartis
As a global player in AI technology consulting, Zartis emphasizes an inclusive culture where engineers and technologists collaborate to overcome challenges and deliver robust solutions. With teams located across EMEA and LATAM, the organization emphasizes collaboration and cross-functional teamwork, ensuring that projects benefit from diverse perspectives and expertise.
Job Role and Responsibilities
The position specifically targets professionals who can help design and develop AI-driven applications within the Logistics Industry. The successful candidate will be involved in:
Designing, developing, and deploying AI-powered applications using Python.
Integrating machine learning models, AI APIs, and intelligent algorithms into scalable backend systems.
Collaborating with data scientists, product managers, and software engineers to effectively deliver AI-driven features.
Contributing to software architecture, system design, and technical decision-making.
Maintaining CI/CD pipelines and managing containerized environments leveraging Docker.
Deploying and managing AI applications in cloud environments such as AWS, Azure, or Google Cloud Platform (GCP).
Optimizing AI solutions for scalability, performance, reliability, and maintainability.
Keeping abreast of the latest advancements in AI, machine learning, and related technologies.
Required Skills
Candidates must possess the following key skills and qualifications to be considered for this position:
A Bachelor's degree in Computer Science, Software Engineering, or a related field.
Minimum of 5 years of experience in professional software development, focusing on integrating AI/ML solutions into production applications.
Proficiency in programming languages, particularly Python (preferred) or Java.
Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, and scikit-learn.
Solid understanding of machine learning concepts, data engineering, and ETL processes.
Familiarity with SQL and large dataset management.
Experience with containerization (Docker) and cloud platforms (AWS, Azure, GCP).
Skills in building or consuming RESTful APIs and integrating AI services.
Familiarity with LLMs, vector databases, prompt engineering, or AI agents is advantageous.
Strong analytical and problem-solving skills with excellent communication capabilities.
Additional Qualifications
While the essential qualifications are imperative, the following attributes would enhance a candidate's profile:
Experience with modern frontend frameworks such as React, Angular, or Vue.js.
Knowledge of MLOps tools and practices.
Familiarity with Kubernetes, infrastructure as code, or microservices architectures.
Work Environment and Benefits
Zartis supports 100% remote work, accommodating a flexible working schedule. Some notable benefits and programs include:
WFH allowance: Financial support for remote working expenses.
Career Growth: Clear career development paths with a focus on feedback and progression guidance.
Training Opportunities: Employees have access to diverse training resources, including online courses, English classes, and professional development events.
Mentorship Programs: Opportunities for employees to either seek mentorship or to become mentors themselves.
Wellness Support: Access to mental health professionals, nutritionists, and health coaches through the Zartis Wellbeing Hub.
A multicultural working environment fostering social interactions and team-building activities.
Conclusion
For professionals driven by innovation and wishing to make a tangible impact in technology, the Senior AI Software Engineer role at Zartis offers not just a job, but a career path defined by continuous growth and meaningful projects. The blend of advanced AI technology and collaboration in a remote environment presents a unique opportunity to work with a leading organization that values inclusivity and contributions toward shared goals.
This job offer was originally published on jobicy.com
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