AI Engineer

What is the opportunity?

We are currently searching for a proficient Machine Learning Engineer with expertise in developing production ready Generative AI applications, particularly those with experience working on large language models (LLMs) such as LLama, Mistral, and others. Proficiency in cloud computing platforms including Databricks and Azure is essential. If you are passionate about pushing the boundaries of AI and advanced text generation, and you thrive in building efficient, scalable systems, we invite you to apply.
 
What will you do?
 

• Lead the design and development of state-of-the-art Generative AI applications, leveraging LLMs and modern machine learning techniques.
• Implement, fine-tune, and maintain LLMs (such as LLama, Mistral, etc.) and frameworks (including LLamaIndex, Langchain, etc.), adapting them to fit our specific problem domains.
• Construct and manage high-quality data pipelines for training, evaluating, and deploying generative models, while ensuring data integrity and efficiency.
• Engage with cloud platforms like Databricks and Azure to efficiently train and deploy generative models, utilizing their robust computing and storage capabilities.
• Maintain up-to-date knowledge of the latest research in NLP and generative models, applying this knowledge to continually improve our AI systems.
• Develop monitoring and evaluation tools to assess the performance of generative models and ensure they align with business goals and user needs.
• Optimize model performance considering factors like computational efficiency, latency, and accuracy.
• Document and present model development processes, findings, and results to technical and non-technical stakeholders.

What do you need to succeed?

Must Have:
 

• BS/MS/PhD in Computer Science, Artificial Intelligence, Data Science, or a related technical field along with 3+ years of experience in machine learning with a focus on generative model development and deployment
• Proven track record of working with large language models and frameworks, such as LLama, Mistral, LLamaIndex, and Langchain
• Hands-on experience with any cloud computing platforms such as Databricks, Azure, AWS or GCP including their machine learning ecosystems
• Proficiency in programming languages such as Python/PySpark; knowledge of best practices in MLOps, including continuous integration, continuous deployment, and automated machine learning pipelines
• Ability to work with a variety of databases (SQL/NoSQL); familiarity with DevOps tools and processes, automation scripts, containerization technologies (e.g., Docker, Kubernetes), and version control (e.g., Git)
• Strong analytical and problem-solving skills, combined with effective communication and collaboration abilities

Nice to Have:

• Knowledge or experience with data serialization formats (e.g., JSON, Parquet)
• Applied experience with model serving technologies and platforms for real-time inference at scale

What's in it for you?

We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

• A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable.
• Leaders who support your development through coaching and managing opportunities.
• Ability to make a difference and lasting impact.
• Work in a dynamic, collaborative, progressive, and high-performing team.
• A world-class training program in financial services.
• Flexible work/life balance options.
• Opportunities to do challenging work.

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Additional Job Details

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above