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Urgent! Tech Lead - AWS SageMaker Job Job Opening In Bengaluru – Now Hiring YASH Technologies
Job Description
Key Responsibilities:
Data Engineering:
· Data LakeHouse:
o Simplify analytics and AI with unified data management across Amazon S3 data lakes, Amazon Redshift data warehouses, operational databases, and enterprise applications.
· Data Processing:
o Use Visual ETL jobs and unified notebooks to perform data analysis, preparation, and integration with data sources like Amazon S3, Redshift, and AWS RDS.
· Orchestration and Automation:
o Create and manage SageMaker Pipelines and Workflows to automate the ETL Pipelines, ML model continuous integration and continuous delivery (CI/CD) lifecycle.
· Data Governance and Collaboration:
o Work within collaborative projects in SageMaker Unified Studio, leveraging the SageMaker Catalog (built on Amazon DataZone) to securely share data and AI artifacts.
o Implement various features in the project like Lineage, Data Quality, Metadata forms, Business Glossaries etc.
AI/ML:
· End-to-End MLOps:
o Build, deploy, execute, and monitor complete data and AI workflows using SageMaker Unified Studio's integrated environment.
· Model Development:
o Develop, train, and evaluate ML and generative AI models using SageMaker's purpose-built tools and algorithms.
o Utilize advanced features such as HyperPod for distributed training, JumpStart for pre-trained models, and SageMaker Experiments for tracking model versions.
· Generative AI Development:
o Rapidly build and customize generative AI applications within the integrated Amazon Bedrock environment in Unified Studio.
o Implement advanced customization capabilities like Knowledge Bases, Guardrails, Agents, and Flows.
· Security and Compliance:
o Implement and maintain security best practices, including fine-grained access controls and data protection, within the SageMaker environment.
· Performance Optimization:
o Optimize the performance and cost of ML workloads by right-sizing compute resources and monitoring job metrics.
· Troubleshooting:
o Utilize Amazon Q Developer's generative AI-powered assistance for code generation and resolving issues within the notebooks and jobs.
Required Skills
· Experience with data processing and analytics using services integrated with Sagemaker Unified Studio (e.g., AWS Glue, Amazon EMR, Amazon Athena, AWS Redshift).
· Demonstrable expertise with Amazon SageMaker Unified Studio and its core components (Domain Units, Projects, Data Assets, Jobs, Data Products).
· Proficiency in PySpark, Python and relevant ML/AI libraries such as TensorFlow, PyTorch, and Scikit-learn.
· Experience with generative AI application development using Amazon Bedrock services within Unified Studio.
· Proven experience developing machine learning models and data pipelines on AWS.
· Solid understanding of MLOps principles and experience building CI/CD pipelines for ML models.
· Familiarity with AWS security best practices, including IAM roles, policies, and data governance, AWS Lake Formation
· Knowledge of SQL and experience with the built-in SQL editor in Unified Studio for data querying
· AWS Certified Data Engineer Associate / AWS Certified Machine Learning – Specialty or other relevant AWS certifications.
Required Technical/ Functional Competencies
Domain/ Industry Knowledge:
Requirement Gathering and Analysis:
Product/ Technology Knowledge:
Architecture tools and frameworks:
Architecture concepts and principles:
Analytics Solution Design:
Tools & Platform Knowledge:
Required Behavioral Competencies
Accountability:
Collaboration:
Agility:
Customer Focus:
Communication:
Drives Results:
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Unlock Your Tech Lead Potential: Insight & Career Growth Guide
Real-time Tech Lead Jobs Trends in Bengaluru, India (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Tech Lead in Bengaluru, India using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 185451 jobs in India and 15362 jobs in Bengaluru. This comprehensive analysis highlights market share and opportunities for professionals in Tech Lead roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! YASH Technologies is currently hiring and seeking a Tech Lead AWS SageMaker Job to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Tech Lead AWS SageMaker Job Jobs Bengaluru.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at YASH Technologies adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Tech Lead AWS SageMaker Job Jobs India varies, but the pay scale is rated "Standard" in Bengaluru. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Tech Lead AWS SageMaker Job typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Tech Lead AWS SageMaker Job interview at YASH Technologies, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the YASH Technologies's products or services and be prepared to discuss how you can contribute to their success.
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