AI Engineer for AI Startup

Join us at Rhesis AI Ensuring Gen AI applications deliver value not surprises!

At Rhesis AI we empower organizations to develop and deploy Gen AI applications that meet high standards for reliability robustness and compliance. Our testing platform helps AI teams to validate and secure Gen AI applications across diverse use cases and industries ensuring they perform predictably adhere to restrictions and meet client expectations.

If youre passionate about advancing trustworthy AI that responsibly serves humanity we invite you to join our mission.

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 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!).
• Develop LLMenabled data pipelines using tools job orchestration tools to integrate largescale language models into data workflows.
• 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.
• While your role will be primarily focused on artificial intelligence and machine learning you will occasionally contribute to data engineering MLOps and general software engineering tasks as needed by the team.
• As part of a small and dynamic team you will be expected to pitch in where necessary and collaborate across disciplines to help build and enhance the product.

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. Kafka)
• Working with data intensive 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

Were excited to offer a fixed oneyear contract (initially with likely extension) starting 1 February along with a range of benefits to support our team members 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 provide 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 options to accommodate personal needs and preferences.
4. 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.