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6 - 10 years

15 - 30 Lacs

Bengaluru

Hybrid

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Exp - 6- 10 Years Level - Senior Consultant Skill - ML OPS with Gen AI Location - Bengaluru Event on 9th May in Bangalore location Hybrid Mode (2 days WFO in a week) Education - B.Tech/B.E/MS/MBA ML OPs Engineer Required: 6-10 years of Consulting, Data, and Analytics experience Experience in descriptive & predictive analytics, both theoretical and practical knowledge in basic ML algorithms like linear and non-linear regression, linear and non-linear classification, dimensional reduction, anomaly detection, statistical concepts and techniques like theoretical distributions, parametric and non-parametric inference 6+ years of experience implementing & executing data science projects throughout the entire lifecycle: Developing/designing and implementing solutions E2E in production. Strong knowledge of Python or R Programming experience with Node.js, SQL, Java, JavaScript OR PERL Experience in cloud-based data platforms on AWS, GCP and Azure Understanding of multi-tier application architectures Ability to develop, test and maintain programming environments and architectural standards Foundational understanding of application development lifecycle and using tools like ANT, Maven, Gradle and Version control (SVN OR GIT OR BitBucket) Experience with working in an agile development lifecycle and continuous integration processes using tools such as Jenkins Experience in doing deployments for Java, .NET , Angular , Node.js , PHP, Python applications using Jenkins/Bamboo Experience on code quality assessment tools and integration with CI tool Strong logical structuring and problem-solving skills Strong verbal, written and presentation skills Preferred Additional Experience in using Spark either with Scala or Python Experience with different database types like RDS and NoSQL Experience in cloud deployments Knowledge of working in a Linux environment Strong understanding and experience configuring, managing and supporting applications using tools such as OpsWorks, Datadog and CloudWatch on AWS Experience in Docker /Swarm / Kubernetes Experience or exposure to Test Driven Development Experience (Junit / TestNG) Experience on Behavior Driven Development Experience (Cucumber / Selenium) Expertise in any commercial data visualization tool such as Tableau, Qlik, Power BI Experience with real time data movement solutions that use security and encryption protocols while data is in transit

Posted 1 month ago

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6 - 8 years

14 - 18 Lacs

Bengaluru, Kolkata

Work from Office

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*Must have exposure in GCP Machine Learning, vertex AI. Collaborated with data engineers, and software developers to facilitate the deployment, monitoring, and maintenance of machine learning models. Experience in training and deploying AutoML and custom tabular/image models using Vertex AI. Hands-on experience in designing, implementing, and maintaining robust data pipelines, data transformation processes, and data storage solutions on GCP, utilizing Apache Beam, Dataflow, and BigQuery. Demonstrated expertise in training, evaluating, and tuning ML models in BigQuery. Hands-on experience with Docker, Kubernetes, Kubeflow, and Cloud Build. Successfully created and managed CI/CD pipelines for machine learning model deployment, ensuring automation, and reproducibility with Cloud Build on GCP. Familiar with security best practices including IAM, Network security, and data encryption in GCP. Experienced in troubleshooting issues across E2E ML lifecycle from data preprocessing to model serving. Adept with Vertex AIs Generative AI studio. Hands-on experience in using Vertex AI PaLM API, including text-bison, chat-bison, and text embedding-gecko. Knowledgeable in Prompt engineering design, techniques, and best practices. Skilled in creating prompts for ideation, text classification, text extraction, and text summarization.**

Posted 2 months ago

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