11+ Data storage Jobs in Chennai | Data storage Job openings in Chennai

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.

We are seeking a skilled Azure Cloud Solution engineer to design, implement, and maintain scalable cloud-based applications using Microsoft Azure. He/ She will be responsible for integrating various Azure services to support user management, real-time communication, event scheduling, and intelligent automation. The ideal candidate will have hands-on experience with Azure services, infrastructure automation, and cloud security, and will play a key role in driving cloud adoption and optimization across the organization.

Key Responsibilities:

•Deploy and manage APIs and user/group services using Azure App Service.

•Build and maintain Azure Functions for authentication, invite tracking, membership updates, and event orchestration.

•Design and manage structured data in Azure SQL Database. Handle unstructured data using Azure Cosmos DB.

•Implement Azure Web Pub Sub for live messaging, group interactions, and event notifications.

•Configure Azure Notification Hubs to deliver push alerts for invites, reminders, and calendar events.

•Leverage Azure AI Services for intelligent scheduling, personalized recommendations, and time slot matching.

•Manage sensitive credentials and OAuth tokens securely using Azure Key Vault.

•Collaborate with development, security, and operations teams to ensure seamless integration and performance.

•Optimize cloud costs and resource utilization through monitoring and reporting.

•Ensure compliance with security and governance policies across Azure environments.

•Troubleshoot and resolve issues related to cloud infrastructure and services.

•Stay updated with the latest Azure features and best practices.

Requirements:

• A minimum of 3+ years of proven experience with Zoho CRM is a mandatory requirement; you must be an expert in the platform.
• Hands-on experience with coding and development within Zoho CRM (e. g., Deluge scripting, API integration, custom functions, and workflow automation).
• Strong understanding of sales processes and how to optimize them using CRM systems.
• Proficient in analyzing data, generating reports, and using data to drive decisions.
• Familiarity with BigQuery or similar data warehousing platforms for processing and analyzing large datasets is advantageous.
• Ability to work cross-functionally with sales, marketing, and customer success teams, as well as technical staff.
• Strong problem-solving skills with a proactive approach to identifying and fixing CRM-related issues.
• Bachelor's degree in a relevant field (e. g., IT, Computer Science, Business Management).
• Preferred: Experience working in a SaaS environment is a plus.

Skills: Python,robot Framework,Automation Testing,Selenium

1. B.E/B.Tech Degree from a reputed institution with at least 4 years of relevant experience.
2. Hands-on experience with test automation using Python or Java.
3. Experience with test frameworks such as Robot Framework or TestNG.
4. Traffic generation tools usage such as curl-loader or JMeter.
5. QA engineers for Networking Technology products such as switches, routers, L4-L7 products testing can also apply.
6. Knowledge of public clouds, AWS, Azure or GCP, is desired.
7. Working knowledge in Kubernetes, Docker or Openshift environments required.
8. Hands on experience with Linux.
9. Strong problem solving and debugging abilities.
10. Familiarity with continuous integration tools such as Jenkins or CircleCI.
11. Interest in machine learning (ML) and data science is a plus.

Good to have would be AWS Architect Certification.

Must Have

• NodeJS / TypeScript experience 3+ years
• AWS experience 3+ years using AWS SDK
• Lamba
• API Gateway
• Event based architecture like Kinesis, MSK (Kafka)
• Database Sql / NoSql

Considered a plus:

• Frontend development React / Angular
• AWS IoT Core, Kafka, Kinesis
• Elastic Search

Should have experience in Device Provisioning / Device management with PKI (Public Key Infrastructure)

Education: BE / B.Tech- EEE/ECE/E&I/ Instrumentation and Control
Experience: 3-6 years in the graduates.
Minimum 3+ years of experience in Industrial Automation applications for manufacturing environment.

Domain knowledge: In areas of Industrial Automation technology tools – PLC/DCS/SCADA/HMI for Manufacturing in one or more of the following verticals: Chemicals, Glass, Construction products, Automotive, Abrasives, ceramics industries.

Requirements:

• To be part of Digital Manufacturing and Industry 4.0 projects across Saint Gobain group of companies
• Design and develop Industrial automation applications for discrete, process and hybrid Manufacturing
• Experience in working with various Automation OEM or systems Integrators- Rockwell/Siemens/Schneider
• Experience in providing the network architecture for connectivity of PLC/DCS/OPC/HMI for software integration
• Experience in Industrial automation tools- feature selection, product evaluation for cost effective solution
• Expertise in Industrial automation - Best Practices, Industry Standards and integration methodologies
• Experience in various SCADA platforms such as - GE Proficy, Wonderware, Siemens Win CC, RA Factory Talk
• Collaborate with multi-functional teams to provide Industrial Automation solutions for Digital Manufacturing
• Part of end to end project of automation right from design to delivery of the project.

Responsibilities

• Identify and Source candidates with matching skills and experience as specified in the requirements
• Interview and qualify shortlisted candidates to confirm suitability (technical, administrative and personal), attitude, honesty and reliability
• Confirm that the chosen candidates are willing to be deputed to work at our clients’ premises
• Build confidence and trust in the candidates that they are our team and full-time employees
• Follow-up with candidates by sharing with and obtaining from the candidates all information promptly and periodically throughout the recruitment process  

Location: Chennai

Experience: 3+ years

Domain: Domestic Staffing Industry

Skills: Recruitment of IT and other engineers for Telecom Industry

Geographical Coverage: Pan India

Work Hours: 6 Days Week except Second Saturday

DevOps Engineer

Job Description:

The position requires a broad set of technical and interpersonal skills that includes deployment technologies, monitoring and scripting from networking to infrastructure. Well versed in troubleshooting Prod issues and should be able to drive till the RCA.

Skills:

• Manage VMs across multiple datacenters and AWS to support dev/test and production workloads.
• Strong hands-on over Ansible is preferred
• Strong knowledge and hands-on experience in Kubernetes Architecture and administration.
• Should have core knowledge in Linux and System operations.
• Proactively and reactively resolve incidents as escalated from monitoring solutions and end users.
• Conduct and automate audits for network and systems infrastructure.
• Do software deployments, per documented processes, with no impact to customers.
• Follow existing devops processes while having flexibility to create and tweak processes to gain efficiency.
• Troubleshoot connectivity problems across network, systems or applications.
• Follow security guidelines, both policy and technical to protect our customers.
• Ability to automate recurring tasks to increase velocity and quality.
• Should have worked on any one of the Database (Postgres/Mongo/Cockroach/Cassandra)
• Should have knowledge and hands-on experience in managing ELK clusters.
• Scripting Knowledge in Shell/Python is added advantage.
• Hands-on Experience over K8s based Microservice Architecture is added advantage.