11+ Materials management Jobs in Chennai | Materials management Job openings in Chennai

Interior Designer Job Responsibili􀆟es:

 Develops design concepts and produces contract documents based on client needs.

 Meets with clients to program the project requirements.

 Takes accurate as-built measurements for developing floor plans and eleva􀆟ons.

 Creates design concepts and digital presenta􀆟ons with finish selec􀆟ons, furnishings, and fixtures.

 Presents design concepts and takes detailed notes to address customer requests.

 Creates project budgets and maintains up-to-date documenta􀆟on of all ac􀆟vi􀆟es.

 Manages the coordina􀆟on and logis􀆟cs of product deliveries and installa􀆟on.

 Provides follow-up support with customers.

 Develops and maintains produc􀆟ve and effec􀆟ve rela􀆟onships with customers.

Interior Designer Qualifica􀆟ons / Skills:

 Effec􀆟ve verbal and wri􀆩en communica􀆟on skills

 Problem solving skills, a􀆩en􀆟on to detail, and self-starter

 Programming abili􀆟es to extract informa􀆟on and produce reports

 Knowledge of building and accessible codes

 Familiarity with all phases of projects, poten􀆟al issues, and proven history to produce projects

 Knowledge of industry construc􀆟on costs and material costs

 Basic ability to prepare furniture cost es􀆟mates

 Crea􀆟ve eye for detail in prepara􀆟on of design presenta􀆟on materials

Educa􀆟on, Experience, and Licensing Requirements:

 Bachelor’s degree in design or related field 5-10 YRS EXPERIANCE

 Interior Design CERTIFIICATION

 Experience in INDUSTRIAL BUILDINGS

 Experience with FF&E procurement and specifica􀆟on

 Experience managing a department of 4 or more design staff including budget es􀆟mates and project

schedules

 Proficient in AutoCAD, Photoshop, and Revit

CoreStack, an AI-powered multi-cloud governance solution, empowers enterprises to unleash the power of the cloud on their terms by helping them rapidly achieve continuous and autonomous cloud governance at scale. CoreStack enables enterprises to realize outcomes across FinOps, SecOps and CloudOps such as a 40% decrease in cloud costs and a 50% increase in operational efficiencies by governing operations, security, cost, access, and resources. CoreStack also assures 100% compliance with standards such as ISO, FedRAMP, NIST, HIPAA, PCI-DSS, AWS CIS & Well-Architected Framework (WAF). CoreStack works with many large global customers across multiple industries including Financial Services, Healthcare, Retail, Education, Telecommunications, Technology and Government. 

The company is backed by industry-leading venture investors. CoreStack is a recent recipient of the 2021 Gold Stevie American Business Awards in the Cloud Infrastructure category and the 2021 Gold Globee Winner of the Most Innovative Company of the Year in IT Cloud/SaaS. In addition, CoreStack won the 2021 Best New Products American Business Award in Cloud Governance as well as Golden Bridge Awards for Cloud Computing/SaaS Innovation and Cloud Security Innovation. CoreStack was recognized as IDC Innovator in Cloud Management Solutions and in the Gartner Magic Quadrant for Cloud Management Platforms in 2020. The Company is a three-time TiE50 Winner and an Emerge 50 League-10 NASSCOM award recipient in Enterprise Software. CoreStack is a Google Cloud Build Partner, Microsoft Azure Gold & Co-Sell Partner, and Amazon AWS Advanced Technology Competency Partner.

Responsibilities:

• Part of a product team responsible for the Quality of the product used by Global customers
• Drive the automation efforts to reduce the time taken to identify issues
• Contribute towards the process improvement involving the entire Product development life cycle.
• Should be able to capture the user behavior and identify the gaps in UX flows. 
• Responsible for the performance and usability of the Product.

Requirements

• Minimum 4+ Years of experience in testing domain.
• Should be well versed with Software Testing Methodologies and Techniques
• Should have experience in AWS or Azure or Google Cloud
• Should have experience in Manual Testing and identifying the critical scenario.
• Should have experience in Data Base testing
• Should have experience in Test Management tools.
• Should have experience in performance testing, load testing and basic knowledge on security testing.
• API testing using Soap UI is an added advantage.
• Selenium with Java is an added advantage.
• CI & CD using Jenkins is an added advantage.
• Prior work experience with Cloud domain and cloud based products is a Plus

CoreStack Offers

• Competitive salary
• Competitive benefit package with appreciable equity
• Exciting, fast-paced and entrepreneurial culture
• Health insurance and other company benefits

We are looking for an outstanding ML Architect (Deployments) with expertise in deploying Machine Learning solutions/models into production and scaling them to serve millions of customers. A candidate with an adaptable and productive working style which fits in a fast-moving environment.

Skills:

- 5+ years deploying Machine Learning pipelines in large enterprise production systems.

- Experience developing end to end ML solutions from business hypothesis to deployment / understanding the entirety of the ML development life cycle.
- Expert in modern software development practices; solid experience using source control management (CI/CD).
- Proficient in designing relevant architecture / microservices to fulfil application integration, model monitoring, training / re-training, model management, model deployment, model experimentation/development, alert mechanisms.
- Experience with public cloud platforms (Azure, AWS, GCP).
- Serverless services like lambda, azure functions, and/or cloud functions.
- Orchestration services like data factory, data pipeline, and/or data flow.
- Data science workbench/managed services like azure machine learning, sagemaker, and/or AI platform.
- Data warehouse services like snowflake, redshift, bigquery, azure sql dw, AWS Redshift.
- Distributed computing services like Pyspark, EMR, Databricks.
- Data storage services like cloud storage, S3, blob, S3 Glacier.
- Data visualization tools like Power BI, Tableau, Quicksight, and/or Qlik.
- Proven experience serving up predictive algorithms and analytics through batch and real-time APIs.
- Solid working experience with software engineers, data scientists, product owners, business analysts, project managers, and business stakeholders to design the holistic solution.
- Strong technical acumen around automated testing.
- Extensive background in statistical analysis and modeling (distributions, hypothesis testing, probability theory, etc.)
- Strong hands-on experience with statistical packages and ML libraries (e.g., Python scikit learn, Spark MLlib, etc.)
- Experience in effective data exploration and visualization (e.g., Excel, Power BI, Tableau, Qlik, etc.)
- Experience in developing and debugging in one or more of the languages Java, Python.
- Ability to work in cross functional teams.
- Apply Machine Learning techniques in production including, but not limited to, neuralnets, regression, decision trees, random forests, ensembles, SVM, Bayesian models, K-Means, etc.

Roles and Responsibilities:

Deploying ML models into production, and scaling them to serve millions of customers.

Technical solutioning skills with deep understanding of technical API integrations, AI / Data Science, BigData and public cloud architectures / deployments in a SaaS environment.

Strong stakeholder relationship management skills - able to influence and manage the expectations of senior executives.
Strong networking skills with the ability to build and maintain strong relationships with both business, operations and technology teams internally and externally.

Provide software design and programming support to projects.

 Qualifications & Experience:

Engineering and post graduate candidates, preferably in Computer Science, from premier institutions with proven work experience as a Machine Learning Architect (Deployments) or a similar role for 5-7 years.

Your skills and experience should cover:

• 5+ years of experience with developing, deploying, and debugging solutions on the AWS platform using ALL AWS services such as S3, IAM, Lambda, API Gateway, RDS, Cognito, Cloudtrail, CodePipeline, Cloud Formation, Cloudwatch and WAF (Web Application Firewall).

• Amazon Web Services (AWS) Certified Developer: Associate, is required; Amazon Web Services (AWS) DevOps Engineer: Professional, preferred.

• 5+ years of experience using one or more modern programming languages (Python, Node.js).

• Hands-on experience migrating data to the AWS cloud platform

• Experience with Scrum/Agile methodology.

• Good understanding of core AWS services, uses, and basic AWS architecture best practices (including security and scalability)

• Experience with AWS Data Storage Tools.

• Experience in Configure and implement AWS tools such as CloudWatch, CloudTrail and direct system logs for monitoring.

• Experience working with GIT, or similar tools.

• Ability to communicate and represent AWS Recommendations and Standards.

The following areas are highly advantageous:

• Experience with Docker

• Experience with PostgreSQL database