Responsibilities:

• Analyzes existing processes to clean and transform large datasets using programming languages and tools
• Applies machine learning models to capture key information and provide actionable suggestions to stakeholders
• Trains and finetunes AI/ML models for given datasets and algorithmic objectives
• Works in conjunction with other engineers and SMEs on functional and process designs including prototyping, testing, training, and implementation
• Builds efficient, self-learning applications to extract and use data to independently problem-solve, identify patterns and connections, and make predictions
• Designs, implements, and tests NLP models and techniques for text generation, information retrieval, sentiment analysis, named entity recognition, topic modeling, and machine translation
• Configures, codes, develops, and documents software specifications throughout the project life cycle
• Works with integration and test teams to develop tools and methods for verification protocols and assess results
• Employs data science and artificial intelligence methods, high performance computing, and integration of these methods into software pipelines
• Defines subsystem requirements and acceptance criteria and selects appropriate datasets and data representation methods
• Develops computer vision algorithms for tasks such as image classification, object detection, image segmentation, and visual recognition
• Conducts regular performance evaluations, identifies bottlenecks, and implements optimization strategies to enhance model efficiency and accuracy
• Explores advanced techniques in data augmentation, regularization, and model compression to improve performance and efficiency and deploys machine learning models in cloud platforms such as AWS ensuring scalability and reliability
• Researches AI and financial services market conditions and assists in conducting feasibility studies to determine market demand for existing and new AI products or services and remains fully informed on market trends and implements best practices
• Meets regularly with AI team and other stakeholders to present findings, explain concepts, share ideas, and develop strategy

Required Skills:

• Superior research, analytical, and problem-solving skills
• Excellent verbal and written communication skills
• Thorough understanding of various analysis tools and techniques (i.e., LASSO, etc.)
• Proven track record of developing and deploying successful machine learning models and applying AI to practical and comprehensive technology solutions
• Extensive experience with innovation accelerators, cloud environments, programming languages and AI/ML tools (AWS, SQL, Azure, ChatGPT, Apache Hadoop (Mahout), TensorFlow, Keras, PyTorch, Python, Java, C++, etc.)
• Knowledge of basic algorithms, object-oriented and functional design principles, and best-practice patterns
• Experience in REST API development, NoSQL database design, and RDBMS design and optimization

AI Specialist

Responsibilities:

• Manage and direct processes and R&D (research and development) to meet the needs of our AI strategy
• Understand company and client challenges and how integrating AI capabilities can help lead to solution
• Lead cross-functional teams in identifying and prioritizing key areas of a partner’s business where AI solutions can drive significant business benefit
• Analyze and explain AI and machine learning (ML) solutions while setting and maintaining high ethical standards
• Advise Program Manager and leadership on a broad range of technology, strategy, and policy issues associated with AI
• Work on functional design, process design (including scenario design, flow mapping), prototyping, testing, training, and defining support procedures, in collaboration with an advanced team and program leadership
• Articulate and document the solutions architecture and lessons learned for each exploration and accelerated incubation
• Manage a team in conducting assessments of the AI and automation market and competitor landscape
• Serve as liaison between stakeholders and project teams, delivering feedback and enabling team members to make necessary changes in product performance or presentation

Required Skills:

• Three or more years of experience in applying AI to practical and comprehensive technology solution
• Experience with ML, deep learning, TensorFlow, Python, NLP
• Experience in program leadership, governance, and change enablement
• Knowledge of basic algorithms, object-oriented and functional design principles, and best-practice patterns
• Experience in REST API development, NoSQL database design, and RDBMS design and optimizations