AI Engineer

Welcome to Rhesis AI where were passionate about making AI responsible. Our goal is to empower organizations with the right tools to navigate the complexities of AI and ensure their AI applications meet the highest standards of robustness reliability and compliance. For this we are developing a Continous Automated Assurance Solution.

To achieve our mission in which AI serves humanity responsibly we need you!

Tasks

What you will do:

• Oversee and/or execute the design development finetuning and deployment of large language models and generative AI systems for the Rhesis AI platform.
• Implement MLOps/LLMOps best practices to streamline the machine learning lifecycle from data ingestion to model deployment and continuous improvement.
• Drive research and development to replicate stateoftheart ML models and papers as well as carry out independent research efforts (yes you can publish!).
• Architect and optimize nearrealtime and realtime data pipelines for efficient data processing.
• Collaborate with crossfunctional teams to integrate AI solutions into existing systems and processes.
• Stay updated on the latest advancements in AI ML and NLP to inform strategic decisionmaking and product innovation.
• Lead research efforts to ensure compliance with regulatory requirements and ethical standards in AI development and deployment.

Requirements

You are great for this role if you have:

Important Skills

• Handson experience with Large Language Models and Generative AI
• Strong background in Python programming ML frameworks (JAX PyTorch TensorFlow HuggingFace Transformers ScikitLearn) and MLOps expertise.
• Knowledge of ML fundamentals and software engineering best practices such as testing.
• Experience in the development of robust productionready code.
• Proficiency in CI/CD DevOps pipelines and containerization.
• Experience in Natural Language Processing.

Awesome Skills

• Experience with research development and/or replication of stateoftheart ML models / papers
• Experience with infrastructure automation (e.g. Infrastructure as Code).
• Building nearrealtime and realtime data pipelines (e.g. using Spark and/or Databricks)
• Knowledge of cloudnative solutions (GCP Azure AWS)
• Building and finetuning deep learning models for deployment and inference

Overall skills

• Solid software engineering skills with the ability to design sophisticated software systems curate datasets and train models for scientific applications.
• Proficiency in Python programming and developing productionready code for datadriven applications.
• Expertise in system design and problemsolving including the ability to decompose complex problems into simpler solutions.
• Familiarity with modern development practices and tools such as version control CI/CD containerization and cloudnative solutions (e.g. Azure or AWS).
• Experience in building realtime data pipelines natural language processing containerbased development and infrastructure automation.
• Previous roles as a Senior Machine Learning Engineer with MLOps experience optimizing and deploying deep learning models.

In summary the candidate should have a strong background in both machine learning and software engineering with specific expertise in developing and deploying advanced machine learning models along with a solid understanding of modern development practices and tools.

Benefits

As part of our commitment to supporting our team members we offer a range of benefits to applicants including:

1. Comprehensive compensation package including shares: We offer salaries and benefits tailored to your experience and qualifications along with the opportunity to gain ownership in the company.

2. Professional development opportunities: We offer resources and support for ongoing learning and career growth including access to training programs workshops and conferences.

3. Flexible work arrangements: We understand the importance of worklife balance and offer flexible working arrangements to accommodate personal needs and preferences.

4. Social and community engagement: We encourage our employees to get involved in social and community initiatives.

5. A supportive and collaborative work environment: We foster a culture of teamwork collaboration and mutual respect where every team member is valued and supported in their professional and personal growth.

We welcome applicants from all backgrounds irrespective of gender nationality religion or any other personal characteristic. Our organization values diversity and inclusion and we encourage individuals from all walks of life to apply for this position. Even if you believe you may not meet all the listed requirements we encourage you to submit your application. We believe that diverse perspectives enrich our team and contribute to our collective success. Your unique skills experiences and perspectives are highly valued and we look forward to considering your application.