Digital Marketing Executive

We are seeking an experienced AI Architect to design, build, and scale production-ready AI voice conversation agents deployed locally (on-prem / edge / private cloud) and optimized for GPU-accelerated, high-throughput environments.

You will own the end-to-end architecture of real-time voice systems, including speech recognition, LLM orchestration, dialog management, speech synthesis, and low-latency streaming pipelines—designed for reliability, scalability, and cost efficiency.

This role is highly hands-on and strategic, bridging research, engineering, and production infrastructure.

Key Responsibilities

Architecture & System Design

• Design low-latency, real-time voice agent architectures for local/on-prem deployment
• Define scalable architectures for ASR → LLM → TTS pipelines
• Optimize systems for GPU utilization, concurrency, and throughput
• Architect fault-tolerant, production-grade voice systems (HA, monitoring, recovery)

Voice & Conversational AI

• Design and integrate:
• Automatic Speech Recognition (ASR)
• Natural Language Understanding / LLMs
• Dialogue management & conversation state
• Text-to-Speech (TTS)
• Build streaming voice pipelines with sub-second response times
• Enable multi-turn, interruptible, natural conversations

Model & Inference Engineering

• Deploy and optimize local LLMs and speech models (quantization, batching, caching)
• Select and fine-tune open-source models for voice use cases
• Implement efficient inference using TensorRT, ONNX, CUDA, vLLM, Triton, or similar

Infrastructure & Production

• Design GPU-based inference clusters (bare metal or Kubernetes)
• Implement autoscaling, load balancing, and GPU scheduling
• Establish monitoring, logging, and performance metrics for voice agents
• Ensure security, privacy, and data isolation for local deployments

Leadership & Collaboration

• Set architectural standards and best practices
• Mentor ML and platform engineers
• Collaborate with product, infra, and applied research teams
• Drive decisions from prototype → production → scale

Required Qualifications

Technical Skills

• 7+ years in software / ML systems engineering
• 3+ years designing production AI systems
• Strong experience with real-time voice or conversational AI systems
• Deep understanding of LLMs, ASR, and TTS pipelines
• Hands-on experience with GPU inference optimization
• Strong Python and/or C++ background
• Experience with Linux, Docker, Kubernetes

AI & ML Expertise

• Experience deploying open-source LLMs locally
• Knowledge of model optimization:
• Quantization
• Batching
• Streaming inference
• Familiarity with voice models (e.g., Whisper-like ASR, neural TTS)

Systems & Scaling

• Experience with high-QPS, low-latency systems
• Knowledge of distributed systems and microservices
• Understanding of edge or on-prem AI deployments

Preferred Qualifications

• Experience building AI voice agents or call automation systems
• Background in speech processing or audio ML
• Experience with telephony, WebRTC, SIP, or streaming audio
• Familiarity with Triton Inference Server / vLLM
• Prior experience as Tech Lead or Principal Engineer

What We Offer

• Opportunity to architect state-of-the-art AI voice systems
• Work on real-world, high-scale production deployments
• Competitive compensation and equity (if applicable)
• High ownership and technical influence
• Collaboration with top-tier AI and infrastructure talent

Review Criteria:

• Strong MLOps profile
• 8+ years of DevOps experience and 4+ years in MLOps / ML pipeline automation and production deployments
• 4+ years hands-on experience in Apache Airflow / MWAA managing workflow orchestration in production
• 4+ years hands-on experience in Apache Spark (EMR / Glue / managed or self-hosted) for distributed computation
• Must have strong hands-on experience across key AWS services including EKS/ECS/Fargate, Lambda, Kinesis, Athena/Redshift, S3, and CloudWatch
• Must have hands-on Python for pipeline & automation development
• 4+ years of experience in AWS cloud, with recent companies
• (Company) - Product companies preferred; Exception for service company candidates with strong MLOps + AWS depth

Preferred:

• Hands-on in Docker deployments for ML workflows on EKS / ECS
• Experience with ML observability (data drift / model drift / performance monitoring / alerting) using CloudWatch / Grafana / Prometheus / OpenSearch.
• Experience with CI / CD / CT using GitHub Actions / Jenkins.
• Experience with JupyterHub/Notebooks, Linux, scripting, and metadata tracking for ML lifecycle.
• Understanding of ML frameworks (TensorFlow / PyTorch) for deployment scenarios.

Job Specific Criteria:

• CV Attachment is mandatory
• Please provide CTC Breakup (Fixed + Variable)?
• Are you okay for F2F round?
• Have candidate filled the google form?

Role & Responsibilities:

We are looking for a Senior MLOps Engineer with 8+ years of experience building and managing production-grade ML platforms and pipelines. The ideal candidate will have strong expertise across AWS, Airflow/MWAA, Apache Spark, Kubernetes (EKS), and automation of ML lifecycle workflows. You will work closely with data science, data engineering, and platform teams to operationalize and scale ML models in production.

Key Responsibilities:

• Design and manage cloud-native ML platforms supporting training, inference, and model lifecycle automation.
• Build ML/ETL pipelines using Apache Airflow / AWS MWAA and distributed data workflows using Apache Spark (EMR/Glue).
• Containerize and deploy ML workloads using Docker, EKS, ECS/Fargate, and Lambda.
• Develop CI/CT/CD pipelines integrating model validation, automated training, testing, and deployment.
• Implement ML observability: model drift, data drift, performance monitoring, and alerting using CloudWatch, Grafana, Prometheus.
• Ensure data governance, versioning, metadata tracking, reproducibility, and secure data pipelines.
• Collaborate with data scientists to productionize notebooks, experiments, and model deployments.

Ideal Candidate:

• 8+ years in MLOps/DevOps with strong ML pipeline experience.
• Strong hands-on experience with AWS:
• Compute/Orchestration: EKS, ECS, EC2, Lambda
• Data: EMR, Glue, S3, Redshift, RDS, Athena, Kinesis
• Workflow: MWAA/Airflow, Step Functions
• Monitoring: CloudWatch, OpenSearch, Grafana
• Strong Python skills and familiarity with ML frameworks (TensorFlow/PyTorch/Scikit-learn).
• Expertise with Docker, Kubernetes, Git, CI/CD tools (GitHub Actions/Jenkins).
• Strong Linux, scripting, and troubleshooting skills.
• Experience enabling reproducible ML environments using Jupyter Hub and containerized development workflows.

Education:

• Master’s degree in computer science, Machine Learning, Data Engineering, or related field. 

Job Title: Linux Project Administrator (RHEL)

Experience: 8-12 Years

Location: Pan India

Open Positions: 1

Role Overview

We are looking for an experienced RHEL Linux Administrator to manage and support enterprise Linux environments. The candidate should have strong hands-on expertise in system administration, patch management, automation, and performance tuning. This role requires proactive monitoring, troubleshooting, and ensuring high availability of Linux platforms.

Must-Have Technical Skills

1. Red Hat Enterprise Linux (RHEL) & Solaris – In-depth Knowledge

Strong understanding of Linux system internals, kernel tuning, boot process, file systems, and performance monitoring. Ability to analyze logs and troubleshoot complex OS-level issues.

2. Patching Using Red Hat Satellite

Hands-on experience in managing repositories, content views, lifecycle environments, and performing patching activities through Satellite. Knowledge of repo sync and package management processes.

3. Ansible Automation

Experience in creating and executing Ansible playbooks for configuration management, patching, and user management. Ability to perform pre- and post-validation checks and automate routine administrative tasks.

4. Scripting Knowledge

Proficiency in Shell scripting or similar scripting languages to automate system administration tasks and operational processes.

5. Performance Monitoring & System Optimization

Experience in identifying performance bottlenecks and implementing tuning measures to ensure system stability and efficiency.

Good-to-Have Skills

1. GitHub / Subversion / TeamCity

Working knowledge of version control systems and CI/CD tools for automation and deployment workflows.

2. NFS & CIFS

Experience in configuring and troubleshooting network file systems and shared storage environments.

3. Networking, Storage & Virtualization

Good understanding of networking layers, storage concepts, database connectivity, and virtualization platforms.

4. AWX

Exposure to AWX for managing and scheduling Ansible automation workflows.

5. CI/CD & Automation Concepts

Understanding of automation frameworks, pipeline concepts, and DevOps practices.

Key Responsibilities

• Ensure all tickets are addressed and updated within SLA in the ticketing tool.
• Participate in team rotation and support activities.
• Maintain Linux platforms in a highly available, secure, reliable, and performant state.
• Identify performance improvement opportunities and implement enhancements.
• Provide technical support to application and development teams.
• 
  

FreshersPosition: Overseas Admission Counselor

Hiring Freshers

What will you do?

As an Admission Counsellor, your main role is to assist prospective students and their

families throughout the admissions journey. This involves offering clear and comprehensive

information about our academic programs, answering a variety of questions, and guiding

applicants through each step of the application process. You will be a key resource for

helping individuals understand their options, make informed decisions, and address any

concerns. Your support will ensure that applicants feel confident and well-informed as they

take the next steps in their educational journey.

Key Responsibilities:

Admission Process: Guide students through the entire application and admission process for foreign universities. This includes explaining admission requirements, deadlines, and necessary documentation. Help students prepare their application materials, such as resumes, essays, recommendation letters, and academic transcripts.

University Selection and Shortlisting: Evaluate students' qualifications and preferences to recommend suitable universities and programs that align with their academic and career aspirations. Stay up-to-date with the latest information about universities, courses, and admission criteria.

Financial Aid and Scholarships: Inform students about available scholarships, grants, and financial aid options. Advise students on budgeting, expenses, and financial planning for their education abroad.

CRM Management: Maintain accurate and up-to-date student records and interactions in the Customer Relationship Management (CRM) system.

Counseling and Guidance: Provide tailored advice to prospective students on the program

choices, admission criteria, and career paths.

Application Assistance: Help students with filling out application forms, and collecting necessary documents, and meeting deadlines.

Follow-ups: Regularly check in with prospective students and monitor their progress through the admission process.

Record Keeping: Keep precise and current records of all interactions with prospective

students and track their application progress.

Who Can Apply?

-Candidates Who Are Available To Join Immediately

-Ready To Work From The Office

Job Benefits:

• Job security with long-term stability and growth opportunities.
• Proper training will be provided to help you excel in your role.
• Clear career growth opportunities with internal promotions.
• A supportive and positive work environment.
• Competitive salary package with performance-based incentives.
• Health and wellness programs, including insurance or fitness options.
• Work-life balance with flexible working hours or remote options (if applicable).
• Continuous learning opportunities through workshops and courses.
• Employee recognition programs to reward outstanding performance.

Working hours - 10 am - 7 pm

• Install, configure, and maintain Kubernetes clusters.
• Develop Kubernetes-based solutions.
• Improve Kubernetes infrastructure.
• Work with other engineers to troubleshoot Kubernetes issues.

• Kubernetes administration experience, including installation, configuration, and troubleshooting
• Kubernetes development experience
• Linux/Unix experience
• Strong analytical and problem-solving skills
• Excellent communication and interpersonal skills
• Ability to work independently and as part of a team

Rankex Digital Marketing Agency (https://rankexdigital.com/) is a dynamic and innovative marketing firm dedicated to helping our clients achieve their digital marketing goals. We pride ourselves on our creative approach and commitment to delivering exceptional results.

Position Overview:

We are seeking a talented and motivated Graphic Designer with a minimum of 2 years of experience to join our creative team. The ideal candidate will possess a strong design portfolio, demonstrate creativity, and have a passion for visual storytelling.

Key Responsibilities:

• Collaborate with the marketing team to create visually compelling graphics for various digital platforms, including social media, websites, and email campaigns.
• Design logos, branding materials, and promotional collateral that align with client objectives and brand guidelines.
• Develop and maintain a consistent visual style across all design projects.
• Work on multiple projects simultaneously, ensuring timely delivery and adherence to project specifications.
• Stay updated on design trends and best practices to bring fresh ideas and concepts to the team.
• Present design concepts and incorporate feedback from stakeholders.

Qualifications:

• Bachelor’s degree in Graphic Design, Visual Arts, or a related field preferred.
• Minimum of 2 years of experience in graphic design, preferably in a digital marketing environment.
• Proficiency in Adobe Creative Suite (Photoshop, Illustrator, InDesign).
• Strong understanding of typography, color theory, and layout design.
• Excellent communication and collaboration skills.
• Ability to work independently and manage time effectively.
• A strong portfolio showcasing a variety of design projects.

1.   In-Depth knowledge and experience with C# .NET Core are must.

2.   Experience in working with API Gateways, REST, SOAP, OAuth, SAML.

3.   Experience inworking with Kafka based environment.

4.   Microservices and Event driven Architecture (with a focus on cloud).

5.   Experience and understanding of OOPS and SOLID design principals.

6.   Well verse with Design Patterns.

7.   Familiarity with Azure and AWS offerings.

8.   Understanding of Relational and NoSQL databases SQL Server, Azure SQL, MongoDB, Elastic.

9.   Familiarity with the .NET framework

10. Familiar with various design and architectural patterns

11. Knowledge of concurrency patterns in C#

12. A willingness to get trained and work on cutting edge technologies like React, Node etc.

13. Understanding fundamental design principles behind a scalable application

14. Implementing automated testing platforms and unit tests

15. Proficient understanding of code versioning tools Git

Familiarity with CICD tools, JIRA, Azure devops etc