Manager - AIML Developer

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%27s 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.

Qualifications we seek in you!

Minimum Qualifications

Bachelor&rsquos 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.

Preferred Qualifications

Domain background in the [finance, insurance] and familiarity with related business processes and challenges is preferred.

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.