Array ( [0] => cloud-engineer [1] => coimbatore ) Cloud Engineer Jobs in Coimbatore,Cloud Engineer Job Vacancies in Coimbatore Tamil Nadu
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Cloud Engineer Job Vacancies in Coimbatore

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AI Engineer - Senior

United Technology

  • 8 - 10 yrs
  • 15.0 Lac/Yr
  • Coimbatore
Python Tensorflow Pytorch Cloud AWS Cloud Engineer GCP Developer ML AI RAG LLM Models Postgre SQL
We are looking Senior AI Engineer with 8+ Years experience in Coimbatore Location.Immediate joiners preferred.
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AWS Cloud Engineer

Infolexus solution

  • 1 - 4 yrs
  • 3.5 Lac/Yr
  • Coimbatore
AWS Cloud Engineer Python Node Js
Job Summary:We are looking for a skilled AWS Cloud Developer to design, develop, and deploy scalable cloud-based applications using Amazon Web Services (AWS). The ideal candidate will have hands-on experience with cloud architecture, serverless computing, and DevOps practices to build robust and secure solutions. Key Responsibilities:- Develop, test, and deploy cloud-native applications on AWS.- Design scalable, secure, and high-performance architectures using AWS services (Lambda, EC2, S3, API Gateway, RDS, DynamoDB, etc.).- Implement serverless solutions using AWS Lambda, Step Functions, and related services.- Collaborate with DevOps teams to automate CI/CD pipelines and infrastructure provisioning (using tools like CloudFormation or Terraform).- Monitor application performance, troubleshoot issues, and optimize cloud infrastructure.- Ensure security and compliance best practices are followed in AWS environments.- Document design, processes, and procedures for cloud solutions. Required Skills & Qualifications:- Bachelors degree in Computer Science, Engineering, or related field.- Proven experience in developing cloud applications using AWS.- Proficiency in programming languages like Python, Node.js, or Java.
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Junior AI Engineer

AINQA Health QDM

  • 1 - 3 yrs
  • Coimbatore
Tensor Flow Keras Python AWS Cloud Engineer
Work with senior developers to build, train, and optimize machine learning models for various applications. Gather and preprocess data from different sources to ensure high-quality inputs for machine learning models. Conduct rigorous testing of AI models, including performance evaluation and troubleshooting. Work closely with cross-functional teams, including data scientists, software engineers, and product managers, to deliver AI solutions. Stay up to date with the latest AI trends and technologies and contribute to research initiatives aimed at improving our AI capabilities. Maintain clear and comprehensive documentation of AI models, experiments, and results.
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Azure Data Engineer

Orcapod

Cloud Engineer
Strong experience with Microsoft Azure data services, including Azure Data Factory, Azure Synapse Analytics, Azure Databricks, and Azure SQL Database.Proficiency in ETL processes, data pipeline design, and automation within the Azure ecosystem.Experience with big data technologies such as Apache Spark, Hadoop, Azure HDInsight, and Databricks.Solid understanding of data modeling, data warehousing concepts, and relational and non-relational databases.Strong knowledge of SQL and experience with scripting languages like Python, R, or Scala.Experience with Azure Storage services, such as Blob Storage, Data Lake Storage, and Azure Cosmos DB.Familiarity with Data Governance, Data Lineage, and Data Security practices in the cloud.Hands-on experience with Azure DevOps for CI/CD pipeline management, version control, and deployment automation.Familiarity with Azure Active Directory (AAD) and role-based access control (RBAC) for managing permissions and security.Experience with RESTful APIs and integrating with third-party systems for data ingestion and export.Strong problem-solving and analytical skills, with the ability to work with large datasets and derive actionable insights.Ability to collaborate effectively with stakeholders and communicate complex data engineering concepts in simple terms.Preferred Qualifications:Azure certifications such as Microsoft Certified: Azure Data Engineer Associate or Azure Solutions Architect Expert.Experience with real-time data processing using Azure Stream Analytics or Apache Kafka.Knowledge of machine learning and AI concepts for data-driven decision-making.Familiarity with Power BI or other reporting tools for data visualization.Experience with Agile methodologies in a data engineering environment.
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Trainee Cloud Engineer

Beta Technologies India Pvt Ltd

  • 0 - 2 yrs
  • Coimbatore
Basic Cloud Knowledge Trainee Cloud Engineer
We, Beta Technologies are recruiting forCLOUD TRAINEE - ON JOB TRAINING 3 Months @ CoimbatoreApply if you are a Fresher / Computer related degree / software development experience / interested in devops
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Techno Commercial Sales Representative

Techminds Infrasol Pvt Ltd JV by NComputing

Effective Communication Virtualization Engineer Cloud Computing Technical Designer Hardware & Network Engineer Sales Person Customer Relationship Manager
Primary Responsibilities:The role requires significant interaction with clients, which will be face-to-face or over the telephone. The varied tasks carried out by the Techno Commercial Sales Representative include: Understanding customers' diverse, specific business needs and applying product knowledge to meet those needs Ensuring quality of service by developing a thorough and detailed knowledge of technical specifications and other features of employers' systems and processes, and then documenting them Identifying and developing new business through networking as well as courtesy and follow-up calls Cold-calling in order to create interest in products and services, generate new business leads and arrange meetings Preparing and delivering customer presentations and demonstrations of the software, articulately and confidently Maintaining awareness and keeping abreast of constantly changing software and hardware systems and peripherals Developing effective sales plans for end-customers as well as channel partners using sales methodology Working with sales engineers to provide technical advice to customers on all aspects of the installation and use of computer systems and networks, both before and after the sale Advising on software features and how they can be applied to assist in a variety of contexts, such as accounting, manufacturing or other specialist areas Meeting sales targets set by managers and contributing to team targets Networking with existing customers in order to maintain links and promote additional products and upgrades Handling hardware or software problems and faults and referring on to specialist technical colleagues Responding to tender documents, writing proposals, reports and supporting literature Managing your own diary in order to organize and prioritize daily and weekly goals Contributing to team or progress meetings to update and inform colleagues
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AWS Engineer

KG Information Systems Private Limited

  • 2 - 6 yrs
  • 7.5 Lac/Yr
  • Coimbatore
EC2 ECS EKS ECR ELB EBS S3 VPC IAM SQS SNS RDS Lamda CloudWatch Cloud Trail Storage Gateway Cloudformation Autoscaling
Hello All !!Urgent Hiring !!JD for AWS EngineerJob Description:Skill: AWS EngineerExp: 2 to 3 or 4 + yearsLocation: CoimbatoreNP: 0-30 days2 to 3 yrs CTC : Max 5 LPA4 + yrs CTC : Max 8 LPAPlease find below JD for the Lead position having 4 years experience.- Hands-on experience with EC2, ECS, EKS, ECR, ELB, EBS, S3, VPC, IAM, SQS, SNS, RDS, Lamda, CloudWatch, Cloud Trail, Storage Gateway, Cloudformation, Autoscaling, Directconnect, AWS Config, AWS Patch Manager, AWS RunShell, and AWS CLI- Experience in DevOPS - AWS Codedelpoy, AWS Codebuild, AWS codecommit, AWS Codepipeline, bitbucket, CI/CD, Server migration from on-premises to AWS- Database migration from on-premises to AWS using DMS and Traditional methods.- Snowball experience- Should be aware how to setup new VPC, subnet creation, NAT gateway, Internet gateway, routes, security policies, VPC peering, direct connect and Transit Gateway configuration,- Route 53,Cloudformation, Load Balancers, Certificate Manager, Auto Scaling, Cloudwatch, IAM policies, Lambda functions,S3 buckets, AWS CLI, Cloudfront- VPN setups : C2S and S2S- Should have good knowledge of Windows/Linux OS with troubleshooting skills- Should have good knowledge of networking and AWS Network concepts.- Day to Day operation tasks like creating EC2/RDS, modifying volumes, Automating taking snapshots, changing encryption on volumes, creating AMI.- Should possess got leadership skill- Expecting excellent communication (Both Verbal and Writing)- Should be to work in high demanding time line projects- Knowing mutiple cloud platform is added advantage.- Scripting Language: Shell and Python- Knowledge on cluster environment is added advantage.- Expecting to work in shifts- Knowledge on AD configuration and handling is must.- Should have working experience in Jenkins, GitLab and Ansible or chef or Puppet.
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Trainer Faculty

Beeja Academy

C Language Corporate Training Java Html .net FullStack Developer Python Trainer Data Scientist Cyber Security RPA Android iOS Application Developer Cloud Engineer
Experience as a trainer as well as a developer. Looking for a training expert who can take up the offline class. Expert in teaching and coding/application development. Full-time developers may also apply for a part-time opportunity.Required candidate profile Candidate must be skilled at giving presentations Minimum of 5 years of trainer/developer experience is required.
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Machine Learning Engineer

AINQA Health QDM

  • 5 - 7 yrs
  • 10.0 Lac/Yr
  • Coimbatore
Big Data Analytics RIDGE Elastic Reality Python AWS Cloud Engineer Agile
Qualifications: 5-7 years of professional experience in machine learning, data science, or related roles. Should have good exposure and understanding in time series Modelling using ARIMA, ARIMAX Exposure into how to handle underfitting and overfitting. Should be capable of applying techniques which helps to generalize Models. Regularization techniques LASSO, RIDGE & ELASTIC NET and when to apply them. Good exposure in Unsupervised machine learning like clustering, dimensionality reduction, Outlier detection Ability to understand how Models are optimized using various techniques including Gradient Descent approach. Good understanding of deep learning algorithms CNN, RNN, LSTM and how to control overfitting in such cases. Good hands on in data engineering to process huge scale of data using Big Data (Spark/Hive) Good coding practices to write production ready code for creating data pipeline for Models to consume. Very good hands on in python (Pandas/Numpy/Scikit-Learn/NLTK/spaCy/Matplotlib) Able to apply the right level of ML techniques for the given problem statement. Ability to access information contained in data and engineer appropriate features. Familiar with Python language and various platforms for hosting ML models Expert in model training, tuning and validation. Expert in statistical techniques, deep learning methodologies, GenAI, alternate techniques such as Bayesian etc. Exposure to big data and related models Ability to articulate model choice and convert outcome for business decision making. Expert in Model Development Lifecycle from sourcing to model monitoring Ability to create code that is highly performance in the given platform. Ability to map model and business use case to the appropriate platform and tools needed. Understanding of technical and machine learning governance Ability to validate and articulate model choices with relevant metrics (precision, recall, confusion matrix, RMSE,
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