
Building Scalable AI Systems
4 days ago
Job Description:
As a Backend Machine Learning Engineer, you will play a crucial role in designing and developing production-ready AI systems that power applications across healthcare and fintech.
Our software enables customers to comprehensively analyze their data, providing insights that were previously inaccessible. We are building Generative AI-native solutions that empower organizations to leverage their data for solving critical issues.
Collaborating with our team of experts, you will be responsible for implementing machine learning algorithms, ensuring efficient performance, and integrating user-facing elements. Your strong software engineering fundamentals combined with applied machine learning expertise will drive the success of our projects.
- We seek a skilled engineer with hands-on experience in backend development, focusing on building scalable, distributed systems.
- Strong programming skills in MERN, Python, Golang, and familiarity with PostgreSQL and NoSQL/MongoDB.
- Experience with MLOps & Infrastructure: Knowledge of MLflow, Kubeflow, DVC, CI/CD pipelines, Docker, Kubernetes.
- Cloud & Infra: Familiarity with AWS SageMaker, GCP Vertex AI, Azure AI.
- Versioning & Collaboration: Git, GitHub/GitLab, code reviews, unit testing.
The ideal candidate will have a Bachelor's or Master's degree in CS, Data Science, AI/ML. They will possess a strong ownership and problem-solving mindset, with adaptability and curiosity driving them to push Generative AI into real-world adoption.
Requirements:
Technical Skills:
- Strong knowledge of machine learning concepts and techniques.
- Hands-on experience with TensorFlow, PyTorch, or other popular ML frameworks.
- Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker).
- Proficiency in agile methodologies and version control tools (Git).
Soft Skills:
- Excellent communication and teamwork skills.
- Proactive problem-solving and analytical thinking.
- Adaptability and willingness to learn new technologies.
- Continuous improvement and growth mindset.
Benefits:
By joining our team, you will have opportunities for professional growth, collaborating with talented individuals, and working on cutting-edge projects. We offer a dynamic work environment, flexible working hours, and competitive compensation packages.
Other Opportunities:
At our organization, we value innovation and creativity. As a Backend Machine Learning Engineer, you will have the freedom to explore new ideas, propose improvements, and contribute to shaping our company's future.
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