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Lead Engineer
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Target Bengaluru, IndiaAbout us: · Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here. · As a lead engineer, you serve as the technical anchor for the engineering team that supports a ...
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Lead Engineer
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Engineer, Lead
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Lead Engineer
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Lead Engineer
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Lead Engineer
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Lead Engineer
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Lead Engineer
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Lead Engineer
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Lead Engineer
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Lead Engineer
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Lead Engineer
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Lead Engineer
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Lead Engineer
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iMind Your Business Solutions Private Limited Bengaluru, India permanent$10M series B funded Gaming platform company located near Koramangala, Bangalore. · We are into gaming DNA, but we have evolved into a platform company. Means we offer gaming experience to our users. Our product and engineering teams are building a platform in native android, sy ...
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Lead Engineer
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Lead Engineer
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Kenvue Bengaluru, IndiaKENVUE GCC, Bengaluru · Position Title: LEAD Engineer- MS SQL DBA · At Kenvue, we believe there is extraordinary power in everyday care. Built on over a century of heritage and propelled forward by science, our iconic brandsincluding NEUTROGENA, AVEENO, TYLENOL, LISTERINE, JOHNSO ...
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Lead Engineer
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Neighborly Bengaluru, IndiaCompany Overview · Neighborly is a holding company of 22 service brands, focused on repairing, maintaining and enhancing consumers homes and businesses. The company operates online platforms that connect consumers to service providers in their local communities that meet their ri ...
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Lead Engineer
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Talent500 Bengaluru, India[ANSR]: Lead Engineer platform capabilities and containerization plan using Kubernetes, Docker, service mesh, and other modern containerization tools and technologies. · Design and collaborate with other engineering stakeholders in developing architecture patterns and templates f ...
MLOPS Engineer Lead - Bengaluru, India - LTIMindtree
Description
Role: MLOps Engineer Lead
· Total Experience: 12 years
Location-Bengelaru
Role Description
Looking for an experienced and motivated GCP evangelist who will work as Lead MLOps Engineer and will be designing, developing, and maintaining the infrastructure and workflows necessary to support the deployment and scaling of multiple concurrent machine learning services. The ideal candidate for this role should has expertise in MLOps, automation, optimisation, and cloud infrastructure which will be essential in scaling our machine learning capabilities and ensuring the reliable and efficient deployment of ML models.
Job Description
• Overall, more than 12 years of experience working as MLOps engineer.
• Design and implement cloud solutions, build MLOps on cloud (AWS, Azure, or GCP)
• Build CI/CD pipelines orchestration by GitLab CI, GitHub Actions, Circle CI, Airflow or similar tools.
• Data science model review, run the code refactoring and optimization, containerization, deployment, versioning, and monitoring of its quality.
• Data science models testing, validation and tests automation.
• Communicate with a team of data scientists, data engineers and architect, document the processes. Experience in Cloud native skills.
• Knowledge of SQL and Python; familiarity with Scala, Java or C++ is an asset.
• Great communication and presentation skills. Should have experience in working in a fast-paced team culture.
• Design and innovate technical solutions & services for clients requirements.
• Knowledgeable on agile practices.
• ML Model Deployment: Assist in deploying machine learning models into production environments.
• AI ML pipeline and model Monitoring: Contribute to the monitoring and maintenance of model performance and infrastructure health.
• Automation: Participate in the development and maintenance of automated MLOps pipelines
• Collaboration: Collaborate with cross-functional teams to integrate machine learning models into production systems.
• Documentation: Maintain documentation of MLOps processes and procedures.
• Work closely with members of technology teams in the development, and implementation of Enterprise AI platform
• Problem Solving: Assist in troubleshooting and resolving MLOps-related issues.
• Good to have experience with contributing to GitHub and open source initiatives or in research projects
• Ability to quickly, efficiently, and effectively define and prototype solutions with continual iteration within aggressive product deadlines.
• Demonstrate strong communication and documentation skills for both technical and non-technical audiences