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Machine Learning Engineer

Location
Surat | Ahmedabad | Pune
Experience Required
2-5 years
Qualification
MSc.IT, MCA, BE, or Equivalent

Job Description

Skills

– Solid experience in deploying and managing software applications using Kubernetes and containerization technologies.
– Proficiency in container orchestration with Kubernetes, including deployment strategies, scaling, and monitoring.
– Familiarity with CI/CD (Continuous Integration/Continuous Deployment) pipelines and automation tools.
– Excellent communication and collaboration skills to work effectively with cross-functional teams.
– Ability to prioritize tasks and work in a fast-paced and dynamic environment.
– Strong problem-solving skills and the ability to troubleshoot complex deployment issues.

Responsibility

– Design, implement, and manage deployment strategies for software solutions, leveraging Kubernetes and containerization techniques.
– Work closely with data science teams to deploy and operationalise machine learning models and pipelines.
– Collaborate with infrastructure teams to define and implement robust ML inference serving architectures and workflows.
– Monitor and troubleshoot deployment issues, performance bottlenecks, and system failures.
– Stay updated with industry trends and advancements in deployment technologies, machine learning frameworks, and data processing tools.
– Document deployment processes, procedures, and configurations for knowledge sharing and future reference.

An applicant must be a strong fit with Triveni’s core values

– Honesty, integrity, and fairness – Respect for individual ability, creativity, and diversity – Teamwork and open communication – Passion and commitment – Enjoyment of work and life