NDA, InsurTech | Machine Learning Engineer
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Job Location:
Monthly Salary:
Posted on:
21 days ago
Vacancies:
1 Vacancy
Job Summary
On behalf of NDAInsurTech SD Solutions is looking for a talented Machine Learning Engineer.
You will be in charge of end-to-end development and will have a great impact on the product and the technical decisions made.
SD Solutions is a staffing company operating globally. Contact us to get more details about the benefits we offer.
Responsibilities:
- Lead the full lifecycle of feature developmentfrom ideation and design to production deployment and monitoring.
- Design implement and maintain robust end-to-end data and ML pipelines using Python.
- Apply and optimize feature selection boosting ensembling and explainable AI (XAI) methods to enhance model performance and transparency.
- Utilize frameworks such as scikit-learn mlflow pandas numpy optuna xgboost and SHAP to build train and evaluate machine learning models.
- Develop and maintain LLM-based agentic systems using frameworks like Langchain or similar.
- Build and optimize retrieval-augmented generation (RAG) pipelinesfor intelligent data-driven applications.
- Collaborate on LLM architecture exploration and evaluation contributing to model selection and performance assessment.
- Employ and refine workflows using AI-assisted coding toolssuch as Claude Code and Cursor to accelerate development.
- Work within an AWS cloud environment to deploy monitor and scale ML and LLM workloads.
- Collaborate with cross-functional teams to integrate ML and LLM components into production systems.
- Maintain high code quality using Python IDEs like PyCharm or VSCode and ensure adherence to best practices in software engineering.
Requirements:
- Proven ability to lead feature development from concept to production.
- ./. in Computer Science/Software Engineering or a related field.
- 3 years of hands-on experience in developing and deployingend-to-end Python-based data and ML pipelines.
- Good understanding of ML and in particular of feature selection methods boosting-based classifier methods ensembling methods XAI methods.
- Extensive hands-on experience with scikit-learn MLflow (or a similar framework) pandas NumPy Optuna (or a similar framework) XGBoost and SHAP.
- 1 year of hands-on development experience with agentic pipelinesbased on Langchain or a similar framework.
- 1 year of hands-on development experience with RAG systems.
- Theoretical understanding of transformers and LLM architectures.
- Comfortable with using and controlling LLM-based development tools (e.g. Claude Code Cursor etc.).
- Experience with the AWS cloud environment.
- Experience with Python IDEs (e.g. PyCharm VSCode etc.).
Advantages:
- Experience with SQL databases.
- Hands-on experience with engineering and modeling large temporal tabular data.
- Experience with LLM evaluation.
About the company:
AI-Powered Platform Cloud-based solution designed for the life insurance industry to increase customer Lifetime Value and revenue. Data Accessibility Solution Transforms inaccessible internal data by enriching it with external sources for smarter decisions.
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Key Skills
- Industrial Maintenance
- Machining
- Mechanical Knowledge
- CNC
- Precision Measuring Instruments
- Schematics
- Maintenance
- Hydraulics
- Plastics Injection Molding
- Programmable Logic Controllers
- Manufacturing
- Troubleshooting
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