Machine Learning Engineer

About The Company

eSignRight Inc is a leading technology company specializing in electronic signature solutions and digital transaction management. With a focus on innovation, security, and user experience, eSignRight Inc provides businesses and individuals with reliable and efficient tools to facilitate seamless digital workflows. Our commitment to advancing digital transaction technology has positioned us as a trusted partner for enterprises seeking secure and compliant e-signature solutions across various industries worldwide.

About The Role

We are looking for a highly skilled and motivated Machine Learning Engineer to join our dynamic team at eSignRight Inc. In this role, you will be responsible for developing, deploying, and maintaining machine learning models that enhance our digital signature and transaction management platforms. You will work closely with data scientists, software engineers, and product teams to translate data-driven insights into scalable solutions that improve user experience, security, and operational efficiency. The ideal candidate will have a strong background in machine learning, data processing, and software development, with a passion for leveraging data to solve complex problems in a fast-paced environment.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field.
• Proven experience in developing machine learning models and deploying them into production environments.
• Strong proficiency in programming languages such as Python, along with experience in ML frameworks like TensorFlow, PyTorch, or scikit-learn.
• Solid understanding of data preprocessing, feature engineering, and statistical analysis.
• Experience working with large datasets using SQL and data manipulation tools.
• Knowledge of MLOps practices, containerization (Docker), and cloud platforms (AWS, Azure, GCP) is a plus.
• Excellent problem-solving skills and the ability to work collaboratively in a team-oriented environment.
• Strong communication skills to effectively convey technical concepts to non-technical stakeholders.

Responsibilities

• Develop and train machine learning models tailored to enhance our digital transaction solutions.
• Perform feature engineering and data preprocessing to ensure high-quality input for model training.
• Deploy machine learning models into production environments ensuring scalability and reliability.
• Build and maintain robust ML pipelines to streamline model deployment and updates.
• Implement monitoring systems to track model performance and detect potential issues in real-time.
• Collaborate with data scientists to refine models and incorporate new data sources for continuous improvement.
• Work with software engineers to integrate ML solutions into existing platforms and APIs.
• Optimize models for performance, accuracy, and efficiency to meet business objectives.
• Implement best practices in MLOps, including version control, testing, and automation.
• Stay updated with the latest advancements in machine learning and AI to bring innovative solutions to the company.

Benefits

At eSignRight Inc, we offer competitive compensation packages aligned with industry standards. Our benefits include comprehensive health insurance, retirement savings plans, and paid time off to promote work-life balance. We provide opportunities for professional growth through continuous learning, training programs, and participation in industry conferences. Our collaborative and innovative work environment fosters creativity and encourages employees to contribute ideas that shape the future of digital transaction technology. Additionally, we support flexible work arrangements to accommodate individual needs and promote a healthy work environment.

Equal Opportunity

eSignRight Inc is an equal opportunity employer committed to fostering an inclusive environment for all employees. We do not discriminate based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, or any other protected characteristic under applicable law. We believe diversity drives innovation and are dedicated to creating a workplace where everyone can thrive and contribute to our collective success.