Senior Machine Learning Engineer
Location: Remote/Hybrid
Location: Remote/Hybrid
We are seeking a talented and driven Senior Machine Learning Engineer to join our fast-growing AI start-up, REMATIQ. This is an exciting opportunity to work on cutting-edge AI solutions that are transforming regulatory affairs. As a Senior Machine Learning Engineer, you will take ownership of designing, building, and scaling machine learning systems that drive impactful innovation in the industry.
Responsibilities
- Collaborate with cross-functional teams to design, develop, and deploy machine learning models into production.
- Build and optimize scalable and efficient machine learning pipelines for data processing, model training, and deployment.
- Lead efforts in identifying, implementing, and validating the best algorithms and techniques for solving business challenges.
- Take ownership of model performance, monitoring, and continuous improvement in production.
- Mentor junior team members and contribute to fostering a collaborative engineering culture.
- Research and stay up-to-date on advancements in machine learning, MLOps, and related technologies.
- Contribute to the development of best practices in model lifecycle management, including reproducibility and version control.
Requirements
- Proven experience as a Machine Learning Engineer or in a similar role, with expertise in Python.
- Strong track record of delivering production-grade machine learning systems, including model deployment and monitoring.
- Proficiency in at least one of the following areas:
- Data Science: Advanced analytics, statistical modeling, and insights generation.
- MLOps: Building robust CI/CD pipelines for machine learning workflows and automation.
- Large Language Models (LLMs): Fine-tuning, training, or deploying state-of-the-art transformer-based models.
- Natural Language Processing (NLP): Developing applications like text classification, summarization, or entity recognition.
- Hands-on experience with cloud platforms (e.g., AWS, GCP, Azure) and containerization tools (e.g., Docker, Kubernetes).
- Strong problem-solving skills with the ability to prioritize tasks effectively in a fast-paced environment.
- Familiarity with scalable data storage and processing systems (e.g., Spark, Hadoop, or similar).
- Passion for leveraging AI to revolutionize regulatory affairs.
Nice-to-Have Skills
- Experience working in early-stage start-ups
- Familiarity with regulatory affairs or compliance-related applications.
- Contributions to open-source machine learning projects.
- Expertise in deep learning frameworks such as TensorFlow or PyTorch.
- Strong software engineering practices, including code reviews, testing, and documentation.
Why Join Us?
- Innovative Mission: Be part of transforming regulatory affairs with cutting-edge AI technology.
- Impactful Role: Take ownership of significant projects and contribute to shaping the future of the industry.
- Collaborative Environment: Work with a small, ambitious team where everyone has real ownership over the product and company.
- Growth Opportunities: Learn and grow in a fast-paced start-up environment with continuous professional development.
- Compensation: Competitive salary and a generous equity package for early employees.
Join REMATIQ and be a driving force in revolutionizing regulatory affairs through AI. If you are a passionate and skilled Machine Learning Engineer ready to make an impact, we'd love to hear from you!
