Job Description
Position Overview
We are seeking a talented and innovative Machine Learning Engineer to join our dynamic team. The ideal candidate will be responsible for developing, deploying, and optimizing machine learning models that drive data-driven insights and improvements across our platform. If you’re passionate about leveraging data to solve real-world challenges and want to be part of a team that is reshaping the financial services landscape, we’d love to hear from you.
Key Responsibilities
- Model Development & Deployment:
- Design, build, and implement machine learning models and algorithms that enhance lead generation and conversion processes.
- Collaborate with data engineers and software developers to integrate models into our production systems.
- Develop and maintain robust pipelines for training, testing, and deploying ML models in a scalable and efficient manner.
- Data Analysis & Feature Engineering:
- Analyze large datasets to identify trends, patterns, and anomalies that can inform model improvements.
- Perform feature engineering to extract meaningful insights from complex datasets, ensuring models are both accurate and efficient.
- Optimization & Performance Monitoring:
- Monitor model performance in real-time and implement strategies for continuous improvement.
- Identify and troubleshoot performance bottlenecks, ensuring models operate at peak efficiency.
- Collaboration & Innovation:
- Work closely with cross-functional teams including data scientists, engineers, product managers, and business stakeholders.
- Stay current with the latest advancements in machine learning, data analytics, and related technologies, and apply innovative solutions to business challenges.
- Contribute to research initiatives and technical discussions to continuously evolve our machine learning capabilities.
- Documentation & Reporting:
- Document model development processes, experiments, and findings.
- Prepare clear and concise reports for both technical and non-technical stakeholders.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, Engineering, or a related field.
- Proven experience in machine learning, statistical modeling, and data analysis.
- Strong programming skills in languages such as Python (preferred), R, or Java.
- Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Proficiency in SQL and familiarity with big data technologies.
- Solid understanding of algorithms, data structures, and software design principles.
- Excellent problem-solving skills and a proactive approach to overcoming challenges.
- Ability to work collaboratively in a fast-paced, dynamic environment.
- Familiarity with cloud platforms (AWS, GCP, or Azure) is a plus.
What We Offer
- Competitive salary and benefits package.
- Opportunities for professional growth and development.
- A collaborative, innovative, and supportive work environment.
- The chance to make a significant impact in a rapidly growing tech company.
Join LeadsMarket® and help us shape the future of lead generation in financial services through innovative machine learning solutions!