Senior Machine Learning Engineer

What We’re Looking For

Proven experience as a Machine Learning Engineer, Data Scientist, or similar role

Expertise in applying machine learning algorithms, deep learning, and data mining techniques in an enterprise environment

Strong proficiency in Python (or other languages) and familiarity with libraries such as Scikit-learn, TensorFlow, PyTorch, or similar.

Experience working with natural language processing (NLP) or computer vision is highly desirable.

Understanding and experience with (MLOps), including model development, deployment, monitoring, and maintenance.

Experience with cloud platforms (like AWS, Google Cloud, or Azure) and knowledge of deploying machine learning models at scale.

Familiarity with data architecture, data engineering, and data pipeline tools.

Familiarity with containerization technologies such as Docker, and orchestration systems like Kubernetes.

Knowledge of the insurance sector is beneficial but not required.

Bachelor's/Master's degree in Computer Science, Data Science, Mathematics, or a related field.

Algorithm Development

What You’ll Be Doing

Design and implement advanced machine learning algorithms tailored for our datasets.

Model Creation

Build, train, and refine machine learning models for business integration.

Collaboration

Partner with product managers, developers, and data scientists to align machine learning solutions with business goals.

Industry Innovation

Stay updated with Insurtech trends and ensure our solutions remain at the forefront.

Validation

Test algorithms for accuracy and efficiency, collaborating with the QA team.

Documentation

Maintain clear records of algorithms and models for team reference.

Professional Growth

Engage in continuous learning and mentor junior team members.

Skills:- Python, Data extraction, Natural Language Processing (NLP), TensorFlow, Large Language Models (LLM) and Open-source LLMs