Job description

Company Overview:
LeadsMarket® is a forward-thinking tech company and an industry leader in lead generation for financial services. We operate a next-generation platform where buyers and sellers trade leads, calls, and clicks. Our platform serves as a real-time marketplace for publishers to connect with buyers across key verticals such as personal loans, business loans, and auto loans. We believe in a win-win-win-win approach, ensuring success for our clients, partners, and internal teams.

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: