Senior AI ML Engineer - Assistant Vice President

As an Assistant Vice President (AVP), Data Science & AIML Engineer at our company, you will play a crucial role in designing, building, and deploying advanced analytical models and machine learning systems to address complex business challenges. You will work with a highly skilled team to develop and implement cutting-edge AI/ML solutions in a production environment. Key Responsibilities: - Design, develop, and implement advanced machine learning models (e.g., predictive, prescriptive, generative AI) to solve complex business problems. - Lead the deployment of AI/ML models into production environments, ensuring scalability, reliability, and performance. - Build and maintain robust, high-performance APIs (using frameworks like FastAPI) to serve machine learning models and integrate them with existing applications and systems. - Establish and manage continuous integration and continuous deployment (CI/CD) pipelines for ML code and model deployments. - Collaborate with data engineers to ensure optimal data pipelines and data quality for model development and deployment. - Conduct rigorous experimentation, A/B testing, and model performance monitoring to continuously improve AI/ML solutions. - Promote and enforce best practices in software development, including clean code, unit testing, documentation, and version control. - Mentor junior team members, contribute to technical discussions, and drive the adoption of new technologies and methodologies. - Effectively communicate complex technical concepts and model results to both technical and non-technical stakeholders. Required Skills & Qualifications: - Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field. - Minimum of 6+ years of professional experience in Data Science, Machine Learning Engineering, or a similar role. - Expert-level proficiency in Python programming, including experience with relevant data science libraries and deep learning frameworks. - Strong hands-on experience designing, developing, and deploying RESTful APIs using FastAPI. - Solid understanding and practical experience with CI/CD tools and methodologies for MLOps. - Experience with MLOps platforms, model monitoring, and model versioning. - Proficiency in SQL and experience working with relational and/or NoSQL databases. - Excellent analytical and problem-solving skills, with the ability to translate complex business problems into actionable data science solutions. - Strong verbal and written communication skills, with the ability to articulate technical concepts to diverse audiences. Preferred Skills & Qualifications: - Experience with containerization technologies (e.g., Docker, Kubernetes). - Familiarity with big data technologies (e.g., Spark, Hadoop). - Experience in the financial services industry. - Knowledge of generative AI techniques and large language models (LLMs). - Contributions to open-source projects or relevant publications. This job description provides a high-level overview of the responsibilities and qualifications required for the Assistant Vice President (AVP), Data Science & AIML Engineer role. You will have the opportunity to work on challenging projects and contribute to the growth of our team.,