MLOps Engineer
Join TechInnovate Solutions in Pangkal Pinang, Bangka Belitung as an MLOps Engineer and drive the future of AI-driven solutions. You'll bridge the gap between machine learning and operations, ensuring seamless deployment, monitoring, and scaling of AI models. Our company, a leading tech innovator in Southeast Asia, is committed to pushing the boundaries of what's possible with machine learning. In this role, you'll work closely with data scientists and software engineers to develop and implement robust MLOps pipelines, leveraging tools like Docker, Kubernetes, and MLflow. This is an exciting opportunity to grow within a dynamic and supportive team, with potential for career advancement in a rapidly evolving industry.
As an MLOps Engineer at TechInnovate Solutions, you'll be responsible for designing, implementing, and maintaining the infrastructure that supports our AI-driven solutions. You'll work on a variety of projects, from developing machine learning models to deploying and monitoring them in production. This role is perfect for someone who is passionate about both machine learning and software engineering, and who wants to make a real impact in the world of AI.
TechInnovate Solutions is not just a place to work; it's a place to grow. We offer a competitive salary, a comprehensive benefits package, and opportunities for professional development. Join us in Pangkal Pinang and be part of a team that is shaping the future of AI.
๐ Tanggung Jawab Pekerjaan
- Design, implement, and maintain MLOps pipelines using tools like Docker, Kubernetes, and MLflow
- Develop and deploy machine learning models in production environments
- Monitor and maintain AI models to ensure optimal performance and reliability
- Collaborate with data scientists and software engineers to integrate machine learning models into existing systems
- Optimize machine learning workflows for scalability, efficiency, and reliability
- Implement and maintain CI/CD pipelines for machine learning projects
- Conduct code reviews and ensure adherence to best practices in software development
- Stay up-to-date with the latest trends and advancements in the field of machine learning and MLOps
๐ Kualifikasi & Syarat
- Bachelor's degree in Computer Science, Software Engineering, or a related field
- 3-5 years of experience in machine learning or software engineering
- Strong programming skills in Python, with experience in machine learning frameworks like TensorFlow or PyTorch
- Experience with cloud platforms like AWS, Google Cloud, or Azure
- Familiarity with containerization technologies like Docker and container orchestration tools like Kubernetes
- Experience with CI/CD tools and practices
- Strong problem-solving skills and the ability to work independently and as part of a team
- Excellent communication and interpersonal skills
๐ ๏ธ Keahlian
Kirim lamaran sekarang sebelum batas waktu.๐ Lamar Sekarang