Aequilibrium is hiring a
Senior AI/ML Engineer

Summary

Aequilibrium is seeking a Senior AI/ML Engineer & Practice Leader with a strong data background to lead their AI practice, develop innovative financial applications, and guide the organization on AI governance. The role offers remote work and competitive compensation.

Requirements

• Minimum of 5+ years of experience in data engineering, BI, or similar data-centric roles, with a proven track record of AI/ML development
• Strong proficiency in Python and AI/ML frameworks such as TensorFlow, Hugging Face, or PyTorch
• Extensive experience with backend development using Python, with strong API design skills (REST, GraphQL)
• Proven experience with Microsoft Azure AI services, including Cognitive Services, Azure Machine Learning, and integration with Azure Databricks or Synapse Analytics
• Proficiency in building, training, and deploying machine learning models using AutoML and deep learning frameworks
• Strong knowledge of databases (SQL and NoSQL), cloud services (AWS, Azure), and version control systems (e.g., Git)
• Strong problem-solving, debugging, and analytical skills, with the ability to process and extract insights from complex financial data
• Ability to lead and shape AI strategy, governance, and best practices within the company and for clients

Responsibilities

• Lead the AI practice, providing guidance on AI governance frameworks, usage policies, and best practices for AI implementation
• Act as a thought leader on AI and data strategy, shaping the company’s approach to AI technologies and advising clients on AI adoption
• Develop and maintain backend services and AI-driven financial applications, such as chatbots and machine learning-powered systems
• Design and develop scalable and secure server-side components and APIs (RESTful and GraphQL)
• Integrate AI/ML models into financial systems, focusing on performance, accuracy, and scalability
• Leverage Microsoft Azure AI tools, including Cognitive Services, Azure Machine Learning, and integrate AI with Azure Databricks or Synapse Analytics
• Build, train, and deploy machine learning models using AutoML and deep learning frameworks like TensorFlow or PyTorch
• Collaborate with cross-functional teams, including designers, backend developers, and domain experts, to deliver end-to-end AI solutions
• Preprocess and analyze financial data to extract insights and features for AI/ML model development
• Lead efforts to improve software development processes using AI for code generation, error detection, and automated software testing
• Stay informed about the latest advancements in AI/ML, data engineering, and financial industry trends
• Write clean, modular, and well-documented code, and maintain a secure and scalable codebase

Preferred Qualifications

• Familiarity with financial industry regulations and compliance requirements related to AI/ML
• Knowledge of data preprocessing, feature engineering, and model evaluation techniques
• Experience with big data technologies (e.g., Apache Spark, Hadoop) and data visualization tools (e.g., Matplotlib, Seaborn)
• Understanding of microservices architecture and containerization technologies (e.g., Docker, Kubernetes)
• Experience improving software testing and development workflows using AI-based tools

Benefits

• Competitive compensation rates
• Remote-First Work Culture
• Medical, dental, and extended health benefits
• Employee referral bonus
• Feedback based on regular 1:1s
• Team-bonding events
• And more perks!