Machine Learning Engineer

Job Title: Data Scientist – AI/ML Engineer Location: Hybrid – Malvern, PA Longterm Contract About Cygnus Professionals, Inc. Cygnus is a Princeton, NJ-headquartered global Business IT consulting and software Services firm with offices in the USA and Asia. Cygnus offers and enables innovation and helps our clients accelerate time to market & grow their business. Over 15 years, we have taken great pride in continuing our deep relationships with our clients. For further information about CYGNUS, please visit our website www.cygnuspro.com Role Overview We are seeking an AI/ML Engineer to design, develop, and deploy advanced Machine Learning solutions within the legal/compliance domain. The role involves close collaboration with data scientists and stakeholders, building end-to-end ML pipelines, developing user interfaces, and ensuring secure, scalable, and compliant deployments in line with global investment management Client standards. Key Responsibilities 1. Requirement Gathering & Collaboration (10%) - Collaborate with data scientists and business stakeholders to define ML solution requirements. - Participate in sprint planning, grooming, and backlog refinement using agile practices. - Translate business needs into technical tasks (data ingestion, modeling, deployment, UI development). - Ensure solutions adhere to internal security, privacy, and CI/CD policies. 1. AI/ML Solution Design, Development & Deployment (55%) - Build and deploy AI/ML models using AWS SageMaker (training, fine-tuning, inference pipelines). - Design and maintain end-to-end data pipelines for training and inference (batch or real-time). - Integrate deployed models into internal tools with robust logging, monitoring, and error handling. - Implement CI/CD pipelines using AWS services and Git workflows to automate build, test, and deployment. - Ensure deployments are scalable, secure, and cost-optimized, following MLOps best practices. 1. Streamlit UI Development (15%) - Build lightweight, responsive UIs in Streamlit to enable interaction with ML models. - Connect Streamlit UIs to backend inference APIs or SageMaker endpoints for real-time use. - Optimize usability, error handling, and UI performance for a seamless user experience. 1. Model & Tool Maintenance (10%) - Enhance and maintain existing internal LLM-based tools based on feedback and model updates. - Monitor model performance and drift, and initiate retraining workflows when necessary. - Document system architecture, workflows, and update logs to ensure continuity. - Manage model lifecycle using SageMaker Model Registry. 1. Testing, Monitoring & Support (10%) - Write unit, integration, and functional tests for ML models, pipelines, and UIs. - Collaborate with QA teams to ensure testing coverage. - Implement logging, monitoring, and alerting using AWS CloudWatch and related tools. - Provide post-deployment support, bug fixes, and incident resolution. Required Skills & Experience - Strong hands-on experience with AWS SageMaker and MLOps best practices. - Proficiency in Python and ML frameworks (TensorFlow, PyTorch, or similar). - Experience in Streamlit for UI development. - Familiarity with CI/CD workflows and Git-based development. - Knowledge of data pipeline design, monitoring, and version control. - Strong understanding of security, compliance, and cloud governance policies. - Experience working in Agile environments with cross-functional teams. Preferred Qualifications - Master’s or PhD in Computer Science, Data Science, AI/ML, or related field. - Specialized experience in Large Language Models (LLMs), NLP, or generative AI. - AWS Certifications such as AWS Certified Machine Learning – Specialty or AWS Solutions Architect. - Hands-on experience with LangChain, Hugging Face Transformers, or RAG-based architectures. - Familiarity with containerization (Docker, Kubernetes) and advanced MLOps tools. - Prior experience in legal/compliance domain ML applications. Cygnus Belief We believe in our commitment to diversity & inclusion. Equal Employment Opportunity Statement Cygnus is an Equal Opportunity Employer. We ensure that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion, or sexual orientation. All our employment decisions are taken without looking into age, race, creed, color, religion, sex, nationality, disability status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status, or any other aspects of employment protected by federal, state, or local law. Applicants for employment in the US must have work authorization.