Senior Manager - AIML Senior Developer-COR026980

## Responsibilities - Understand business processes, identify pain points and areas for improvement, and articulate problems that can be addressed through machine learning solutions. - Analyze and correlate relevant business metrics to determine the impact of potential solutions. - Gather, clean, and preprocess data from various sources to facilitate the development of machine learning models. - Design, develop, and implement machine learning models using advanced techniques such as Neural Networks and Transformer models, with a focus on tabular data and NLP applications. - Perform feature engineering, data preprocessing, and model selection to optimize model performance. - Evaluate model performance using appropriate metrics, iterating and refining as necessary. - Monitor and maintain the performance of machine learning models in production, troubleshooting and updating as required. - Communicate findings, insights, and recommendations to stakeholders in a clear and actionable manner. - Stay up to date with the latest research, trends, and best practices in machine learning, NLP, Neural Networks, Transformer models, and related technologies. - Continuously improve the organization's machine learning infrastructure, tools, and processes to enhance efficiency and effectiveness. - Proactively identify opportunities for leveraging machine learning and AI solutions to drive business value and improve operations. - Collaborate cross-functionally with other teams, such as product development, marketing, and customer support, to ensure seamless integration and implementation of machine learning models into existing systems and workflows. - Train and mentor junior team members, sharing knowledge and expertise in machine learning, NLP, Neural Networks, and Transformer models. - Ensure compliance with data privacy and security regulations while handling sensitive information. ## Requirements - Minimum Qualifications: Bachelor’s or higher degree in computer science, Data Science, Engineering, or a related field. - Relevant years of experience in machine learning, data science, or a related field, with a focus on Neural Networks, Transformer models, tabular data, and NLP. - Strong proficiency in Python and familiarity with machine learning libraries such as TensorFlow, PyTorch, Scikit-learn, Matplotlib, Seaborn, Plotly, Pandas, NumPy. - Proven ability to manage projects end-to-end, from understanding business requirements to implementing machine learning solutions. - Excellent problem-solving, critical thinking, and analytical skills. - Strong communication and interpersonal skills, with the ability to effectively present complex information to both technical and non-technical audiences. - Keen attention to detail and a commitment to producing high-quality, reliable, and maintainable code. - Self-motivated and able to work independently or collaboratively within a team environment. - A passion for staying current with the latest advancements in machine learning. ## Nice to Have - Domain background in the finance, insurance and familiarity with related business processes and challenges. - Proficiency in one programming language as base minimum, such as Python. - Previous experience in a client-facing role or presenting technical information to non-technical stakeholders. ## Benefits - Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. - Genpact is committed to building a dynamic work environment that values diversity and inclusion, respect and integrity, customer focus, and innovation. - For more information, visit www.genpact.com. - Follow us on Twitter, Facebook, LinkedIn, and YouTube. - Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. - Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.