Senior AI Software Engineer

Company Overview

Zartis is a prominent global AI transformation and technology consulting partner aimed at advancing the field of technology by collaborating with ambitious organizations. Their mission focuses on designing, building, and scaling technology solutions that make a substantial impact in various sectors including financial services, healthcare, and energy and climate. Zartis has engineering hubs across EMEA and LATAM, and they pride themselves on fostering an environment where talented engineers and technologists work collaboratively on cutting-edge innovations.

Position Overview

Zartis is currently seeking a Senior AI Software Engineer to join their remote team. This role involves working on a project within the logistics industry. The candidate will enter a workspace that values inclusion, trust, and innovation, aiming to provide expert consulting, specialized software, and managed services to improve and optimize logistics operations. The successful candidate will contribute to the creation of AI-driven applications, integrating machine learning models into scalable systems, which will help solve real business challenges in the logistics domain.

Responsibilities

The responsibilities for the Senior AI Software Engineer role include but are not limited to:

• Designing, developing, and deploying AI-powered applications using Python.
• Integrating machine learning models, AI APIs, and intelligent algorithms into scalable backend systems.
• Collaborating with cross-functional teams including data scientists, product managers, and software engineers to develop and deliver AI-driven features.
• Contributing to software architecture and system design along with making technical decisions for AI-enabled products.
• Maintaining CI/CD pipelines and developing containerized environments utilizing Docker.
• Deploying and managing AI applications across cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).
• Optimizing AI solutions for scalability and performance.
• Keeping abreast with the latest advancements in AI and machine learning, and evaluating innovations to incorporate into products and workflows.

Required Skills

Candidates should possess the following qualifications and skills:

• A Bachelor’s degree in Computer Science, Software Engineering, or a related field.
• At least 5 years of professional software development experience, particularly in integrating AI/ML solutions into production applications.
• Proficiency in Python (preferred) or Java.
• Hands-on experience with popular machine learning frameworks like TensorFlow, PyTorch, scikit-learn, or Hugging Face Transformers.
• A solid understanding of machine learning concepts, data engineering, ETL processes, and model deployment.
• Experience working with SQL and handling large-scale datasets.
• Familiarity with containerization (Docker) and CI/CD practices.
• Familiarity with cloud platforms such as AWS, Azure, or GCP.
• Knowledge of building or consuming RESTful APIs and integrating AI services into enterprise applications.
• Strong analytical and problem-solving skills with excellent communication abilities.
• Must be proactive, adaptable, and possess a genuine motivation to contribute to the organization’s success.

Nice-to-Haves

While not mandatory, the following skills would be advantageous:

• Experience with modern frontend frameworks like React, Angular, or Vue.js.
• Familiarity with MLOps tools and practices.
• Knowledge of Kubernetes, infrastructure as code, or microservices architectures.

Salary and Work Environment

Although the job listing did not specify a salary, Zartis emphasizes a 100% remote work model and also supports employees with a WFH allowance, providing monthly financial support for remote working.

Career Development

Zartis is committed to the career growth of its employees, offering a structured career development program that includes a 360-degree feedback system to facilitate career progression. Employees are encouraged to engage in continuous learning, with allocated training time for online courses, professional events, and workshops.

Additional Benefits

Employees have the option to participate in a mentoring program, where they can either be a mentor or receive mentorship. Additionally, Zartis provides access to a Wellbeing Hub that offers sessions with various specialists including mental health professionals, nutritionists, and fitness coaches. They actively promote a multicultural work environment, organizing tech events, webinars, parties, and team-building activities to support connectivity among team members.

Overall, this position at Zartis not only promises a role in cutting-edge technology but also comprehensive employee support, career advancement opportunities, and a culture aimed at innovation and inclusivity.

This job offer was originally published on jobicy.com