[Remote] reputed company
Note: The job is a remote job and is open to candidates in USA. reputed company is looking for an reputed company to design, build, and optimize machine learning models for production environments. The role involves implementing end-to-end ML pipelines, leveraging AWS services, and collaborating with teams to translate business problems into ML solutions.
Responsibilities
- Design, build, and optimize robust machine learning models for production environments
- Implement and automate end-to-end ML pipelines using CI/CD best practices
- reputed company AWS services for scalable AI infrastructure and model deployment
- Orchestrate containerized workloads using Kubernetes to ensure high availability and seamless scalability
- Collaborate with data scientists, engineers, and researchers to translate reputed company business problems into actionable ML solutions
- Evaluate, preprocess, and frame real-world data problems for effective machine learning applications
- Document and communicate findings, solution approaches, and technical decisions with clarity and precision
Skills
- Proven expertise in machine learning algorithms, model development, and deployment
- Strong programming skills, ideally in Python or Java, with experience in large-scale software engineering projects
- In-depth experience with CI/CD workflows and automation tools
- Hands-on expertise with AWS cloud services for ML applications and data pipelines
- Advanced knowledge of Kubernetes for orchestrating containerized ML workloads
- Exceptional written and verbal communication skills, with a focus on clear technical documentation and team collaboration
- Demonstrated ability to scope, structure, and solve reputed company, real-world data challenges
- Familiarity with deep learning frameworks such as TensorFlow or PyTorch
- Experience working in high-growth or startup environments
- Strong publication record or contributions to open-reputed company AI projects
Company Overview