Senior Machine Learning Engineer / Tech Lead
New
J
JobgetherCloud Machine Learning
Based in IndiaFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 4+ years of professional experience developing, deploying, and optimizing machine learning solutions; 2+ years of experience operating large-scale applications and systems in production environments
- Required Skills
- DockerArtificial IntelligenceKubernetesMachine LearningSoftware EngineeringMLOps
Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent professional experience.
- 4+ years of professional experience developing, deploying, and optimizing machine learning solutions.
- 2+ years of experience operating large-scale applications and systems in production environments.
- Proven experience training machine learning models across different data modalities.
- Experience designing and building machine learning pipelines, workflows, and MLOps processes.
- Strong experience with containerization technologies such as Docker and Kubernetes.
- Experience managing complex Kubernetes deployments and cloud-native architectures.
- Experience scaling GPU-based machine learning workloads and managing GPU clusters.
- Strong software engineering skills with experience leading complex development projects.
Responsibilities
- Lead the development and maintenance of scalable and efficient machine learning components within cloud-based platforms.
- Design, build, deploy, and optimize machine learning solutions across different modalities.
- Design and manage machine learning pipelines and workflows following MLOps principles.
- Support the scaling and reliability of GPU-based machine learning deployments and clusters.
- Collaborate with product managers, designers, and engineering teams to transform business requirements into effective technical solutions.
- Participate in code reviews and provide constructive feedback to support a strong engineering culture.
- Mentor engineers and contribute to improving team performance through technical leadership.
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