Machine Learning Engineer

Job description

We are looking for Customer Support Executive that will be the liaison between company and its current and potential customers. The successful candidate will be able to accept ownership for effectively solving customer issues, complaints, and inquiries; keeping customer satisfaction at the core of every decision and behavior.

Roles and Responsibilities

• Interacting with customers over the phone, by email, or by chat to provide information and services
• Answering customer inquiries and complaints
• Handling customer issues and conflicts
• Escalating issues to the appropriate team
• Good understanding of Customer Support Business

Preferred candidate profile

- Graduates only

- Good communication skills

About the Role :

 We are looking for an experienced Senior Network Engineer with a good background in Ansible to join our team. The ideal candidate will involve in implementation, and management of advanced network infrastructures, focusing on automation and optimization.

Key Responsibilities:

·         Managing network infra with 24/7 support environment and provide 99% network up time 

·         Managing & Troubleshooting of LAN, VLAN, Web filter, IP routing, LACP, Wireless & WAN networks

·         Hands on experience on Palo Alto firewalls, Cisco switches, HP Procurve, Aruba Wireless

·         Good to have knowledge on F5 load balancer, ClearPass, Aruba Wireless IAP/ Controller based Radius Integration

·         Develop, test, and maintain Ansible for network automation.

·         Monitor network performance and implement improvements.

·         Troubleshoot and resolve advanced network issues.

·         Collaborate with cross-functional teams to ensure network reliability and security.

·         Mentor junior network engineers and provide technical guidance.

Maintain comprehensive network documentation and ensure compliance with industry standards.

Qualifications:

·         Bachelor’s degree in computer science, Information Technology, or a related field.

·         Extensive experience as a Network Engineer, with a focus on senior-level responsibilities.

·         Knowledge in Ansible for network automation.

·         Deep understanding of network protocols (e.g., TCP/IP, BGP, OSPF).

·         Experience with network hardware (e.g., routers, switches, firewalls).

·         Proficiency in Cisco Meraki configuration and management.

·         Expert-level knowledge of Palo Alto firewalls.

·         Strong problem-solving and communication skills.

·         Relevant certifications (e.g., CCNA, CCNP, CPNSA) are highly desirable.

·         Experience with other automation tools (e.g., Terraform, Puppet).

Preferred Skills:

·         Experience with cloud networking (e.g., AWS, Azure).

·         Knowledge of network security best practices.

·         Knowledge in scripting languages (e.g., Python, Bash).

·         Experience with network monitoring tools (e.g., Nagios, SolarWinds).

·         Understanding of SDWAN (Software-Defined Networking) technologies.

·         Knowledge of containerization and orchestration (e.g., Docker, Kubernetes).

·         Experience with VPN and remote access solutions.

·         Familiarity with ITIL processes and frameworks.

Company Description

KGISL Institute of Technology is a higher education institution located in Coimbatore, Tamil Nadu, India. As part of the KGISL Campus, the institute is committed to delivering quality education in the field of technology. With a focus on both theoretical and practical learning, KGISL Institute of Technology aims to produce skilled professionals who can meet the demands of the industry.

Role Description

This is a full-time on-site role for an Assistant Professor in the Computer Science and Engineering (CSE) department. Located in Coimbatore, the Assistant Professor will be responsible for teaching undergraduate and graduate courses, guiding student projects, and conducting research. Day-to-day tasks will include preparing lecture materials, evaluating student performance, mentoring students, and participating in faculty meetings. The role also involves contributing to curriculum development and engaging in departmental activities.

Qualifications

Strong knowledge in Computer Science and Engineering subjects.

Experience in teaching at the undergraduate and graduate levels.

Research skills and the ability to guide student projects.

Excellent written and verbal communication skills.

Proficiency in curriculum development and academic assessment.

Master's degree in Computer Science, Engineering, or a related field.

Experience in the use of digital tools and teaching technologies is an advantage.

Commitment to continuous improvement and professional development.

Role Description

This is a full-time, remote role for a Frappe and ERPNext Developer. The Developer will be responsible for designing, developing, and maintaining Frappe and ERPNext applications. Daily tasks include customizing modules, integrating third-party systems, troubleshooting and resolving software issues, and working closely with cross-functional teams to enhance system efficiency and user experience.

Qualifications

1. Proficiency in Frappe and ERPNext development
2. Experience with Python, JavaScript, and web technologies
3. Understanding of ERP workflows and business processes
4. Skills in database management (MySQL, PostgreSQL)
5. Strong problem-solving and troubleshooting abilities
6. Ability to work independently and remotely
7. Excellent communication and teamwork skills
8. Bachelor's degree in Computer Science, Information Technology, or related field
9. Experience in the healthcare industry is a plus
10. Have experience in customised the frappe crm

Primary Responsibilities

• Understand current state architecture, including pain points.
• Create and document future state architectural options to address specific issues or initiatives using Machine Learning.
• Innovate and scale architectural best practices around building and operating ML workloads by collaborating with stakeholders across the organization.
• Develop CI/CD & ML pipelines that help to achieve end-to-end ML model development lifecycle from data preparation and feature engineering to model deployment and retraining.
• Provide recommendations around security, cost, performance, reliability, and operational efficiency and implement them
• Provide thought leadership around the use of industry standard tools and models (including commercially available models and tools) by leveraging experience and current industry trends.
• Collaborate with the Enterprise Architect, consulting partners and client IT team as warranted to establish and implement strategic initiatives.
• Make recommendations and assess proposals for optimization.
• Identify operational issues and recommend and implement strategies to resolve problems.

Must have:

• 3+ years of experience in developing CI/CD & ML pipelines for end-to-end ML model/workloads development
• Strong knowledge in ML operations and DevOps workflows and tools such as Git, AWS CodeBuild & CodePipeline, Jenkins, AWS CloudFormation, and others
• Background in ML algorithm development, AI/ML Platforms, Deep Learning, ML Operations in the cloud environment.
• Strong programming skillset with high proficiency in Python, R, etc.
• Strong knowledge of AWS cloud and its technologies such as S3, Redshift, Athena, Glue, SageMaker etc.
• Working knowledge of databases, data warehouses, data preparation and integration tools, along with big data parallel processing layers such as Apache Spark or Hadoop
• Knowledge of pure and applied math, ML and DL frameworks, and ML techniques, such as random forest and neural networks
• Ability to collaborate with Data scientist, Data Engineers, Leaders, and other IT teams
• Ability to work with multiple projects and work streams at one time. Must be able to deliver results based upon project deadlines.
• Willing to flex daily work schedule to allow for time-zone differences for global team communications
• Strong interpersonal and communication skills

Role: ASIC Physical Engineer

Location: Bangalore

REQUIREMENTS:

∙             5-7 years of experience in ASIC Physical Design

∙            Have good knowledge of entire physical design process from floorplan till GDS generation

∙            Good Exposure to Physical Verification Process

∙            Have hands-on experience in latest sub-micron technologies below 10 nm

∙            Hands –on experience in leading PnR tools Synopsys ICC/ICC2

∙                   Experience in low power designs and handling congestion or timing critical tiles will be preferred

∙            Should be a quick learner and have good attention to detail

∙            Experience in ECO implementation preferred

∙            Scripting skills in Perl/Tcl/Python etc

∙            Must have good communication & problem-solving skills.

∙             Should be able to handle PNR tasks with minimal supervision

• Cloud and virtualization-based technologies (Amazon Web Services (AWS), VMWare).
• Java Application Server Administration (Weblogic, WidlFfy, JBoss, Tomcat).
• Docker and Kubernetes (EKS)
• Linux/UNIX Administration (Amazon Linux and RedHat).
• Developing and supporting cloud infrastructure designs and implementations and guiding application development teams.
• Configuration Management tools (Chef or Puppet or ansible).
• Log aggregations tools such as Elastic and/or Splunk.
• Automate infrastructure and application deployment-related tasks using terraform.
• Automate repetitive tasks required to maintain a secure and up-to-date operational environment.

Responsibilities

• Build and support always-available private/public cloud-based software-as-a-service (SaaS) applications.
• Build AWS or other public cloud infrastructure using Terraform.
• Deploy and manage Kubernetes (EKS) based docker applications in AWS.
• Create custom OS images using Packer.
• Create and revise infrastructure and architectural designs and implementation plans and guide the implementation with operations.
• Liaison between application development, infrastructure support, and tools (IT Services) teams.
• Development and documentation of Chef recipes and/or ansible scripts. Support throughout the entire deployment lifecycle (development, quality assurance, and production).
• Help developers leverage infrastructure, application, and cloud platform features and functionality participate in code and design reviews, and support developers by building CI/CD pipelines using Bamboo, Jenkins, or Spinnaker.
• Create knowledge-sharing presentations and documentation to help developers and operations teams understand and leverage the system's capabilities.
• Learn on the job and explore new technologies with little supervision.
• Leverage scripting (BASH, Perl, Ruby, Python) to build required automation and tools on an ad-hoc basis.

Who we have in mind:

• Solid experience in building a solution on AWS or other public cloud services using Terraform.
• Excellent problem-solving skills with a desire to take on responsibility.
• Extensive knowledge in containerized application and deployment in Kubernetes
• Extensive knowledge of the Linux operating system, RHEL preferred.
• Proficiency with shell scripting.
• Experience with Java application servers.
• Experience with GiT and Subversion.
• Excellent written and verbal communication skills with the ability to communicate technical issues to non-technical and technical audiences.
• Experience working in a large-scale operational environment.
• Internet and operating system security fundamentals.
• Extensive knowledge of massively scalable systems. Linux operating system/application development desirable.
• Programming in scripting languages such as Python. Other object-oriented languages (C++, Java) are a plus.
• Experience with Configuration Management Automation tools (chef or puppet).
• Experience with virtualization, preferably on multiple hypervisors.
• BS/MS in Computer Science or equivalent experience.
• Excellent written and verbal skills.

Education or Equivalent Experience:

• Bachelor's degree or equivalent education in related fields
• Certificates of training in associated fields/equipment’s