International Voice Process

Job Title: Python Backend Engineer (Full-time)

Location: Gurgaon, Onsite

Working Days: 5 days

Experience Required: 4+ Years

Interview: Screening and Face-to-face Interview

Job Summary

We are looking for a Python Backend Engineer with strong experience in FastAPI/Django and hands-on exposure to MLOps and LLMOps. You will work on building APIs, deploying ML/LLM models, and enabling intelligent systems using modern AI tools and frameworks.

Responsibilities

• Build and maintain scalable backend systems using Python, FastAPI, or Django
• Deploy and manage ML models (e.g., OpenCV, scikit-learn) and LLMs in production
• Develop APIs for ML/LLM inference and support RAG pipelines
• Implement model versioning, CI/CD, and monitoring for production use
• Collaborate with AI teams to integrate models into applications

Skills Required

• Strong Python backend development (FastAPI/Django)
• Experience with ML libraries: scikit-learn, OpenCV, NumPy, Pandas
• MLOps tools: MLflow, DVC, Airflow, Docker, Kubernetes
• LLMOps tools: LangChain, LlamaIndex, RAG pipelines, FAISS, Pinecone
• Integration experience with OpenAI, Hugging Face, or other LLM APIs
• Familiarity with CI/CD tools (GitHub Actions, Jenkins)

Role Overview

We are looking for a Product Manager – Supply Chain to drive technology-led improvements across our end-to-end supply chain ecosystem. The role will focus on building and optimizing products that enable efficient order fulfillment, inventory visibility, warehouse operations, and logistics orchestration across multiple channels including D2C, marketplaces, and retail.

You will work closely with operations, logistics, warehouse teams, engineering, and data teams to design scalable solutions that improve supply chain efficiency, reduce costs, and enhance customer experience.

Key Responsibilities

• Own and drive the product roadmap for supply chain systems including OMS, WMS, and logistics integrations.
• Identify operational bottlenecks and build tech-enabled solutions to improve fulfillment speed, inventory accuracy, and operational efficiency.
• Work with warehouse, procurement, and logistics teams to translate operational challenges into scalable product features.
• Define product requirements, PRDs, and user stories for supply chain tools and platforms.
• Collaborate with engineering teams to ensure timely delivery of product features and system integrations.
• Drive initiatives around inventory planning, demand forecasting, dispatch optimization, and last-mile delivery tracking.
• Monitor product performance using data dashboards and operational KPIs such as order SLA, inventory turnover, fill rate, and logistics costs.
• Integrate and optimize third-party logistics partners, warehouse systems, and marketplace supply chain flows.
• Continuously improve internal systems to support scalability as the business grows across channels and geographies.

Required Qualifications

• 3–8 years of experience in Product Management, Supply Chain Tech, or Operations Product roles.
• Strong understanding of e-commerce supply chain processes including procurement, inventory management, warehousing, and logistics.
• Experience working with OMS, WMS, ERP systems, or logistics platforms.
• Ability to translate operational problems into product solutions.
• Strong analytical skills with experience in data-driven decision making.
• Experience working in cross-functional teams with engineering, operations, and business stakeholders.

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. 

Hiring for ServiceNow SecOps Expert

Location: Remote(Contract)

Shift: 2:00 to 11:00 PM IST

Top Skills -

1. ServiceNow SecOps Expertise – Implementation/integration and customization support. (Not just admin or cursory experience)

2. Scripting & Integration Proficiency.

3. Security Operations & Incident Management Knowledge.

4. ServiceNow Certification:

Must hold SN Certifications – must hold Development or Implementation related cert. (CAD, CIS etc, not just CSA)

Strong preference for CIS – Security Incident Response (SIR) and/or CIS – Vulnerability Response (VR) certifications.

1. ServiceNow Developer - SIR & VM

we are seeking a ServiceNow Developer with a proven record of successful ServiceNow engagements relating to implementation and support of the Security Incident Response (SIR) and Vulnerability Response (VR) modules.

We are seeking an experienced and detail-oriented ServiceNow Developer with strong expertise in the Security Operations (SecOps) suite, particularly Security Incident Response (SIR) and Vulnerability Response (VR) modules. .

Candidate(s) will be responsible for, but not limited to, the following duties:

•  Configure, develop, and support ServiceNow modules, including:

•  Design, develop, and configure solutions within the Security Incident Response (SIR) and Vulnerability Response (VR) modules in ServiceNow.

•  Build and maintain scripts (Business Rules, Script Includes, UI Actions, Client Scripts) using JavaScript and Glide APIs.

•  Integrate ServiceNow with external security tools (e.g., Qualys, Tenable, Rapid7, Splunk, CrowdStrike, etc.).

•  Automate SecOps workflows and create orchestration playbooks to improve incident and vulnerability handling.

•  Work closely with security, infrastructure, and ServiceNow teams to gather requirements and deliver high-quality solutions.

•  Troubleshoot and resolve issues related to the SecOps modules and integrations.

•  Maintain technical documentation, including configuration guides and development standards.

Skills and Experience Requirements:

•  5–7 years of ServiceNow development experience, including 2–3 years with SecOps modules (SIR and VR).

•  Proficient in ServiceNow development including scripting (JavaScript, Glide), UI customization, and REST/SOAP integrations.

•  Strong understanding of security operations, incident response processes, and vulnerability management.

•  Experience with third-party tool integrations relevant to security operations.

•  Familiarity with CMDB, ITSM, and ITIL best practices.

Skills and Certifications

•  Certified Implementation Specialist – Security Incident Response (SIR)

•  Certified Implementation Specialist – Vulnerability Response (VR)

•  ServiceNow Certified Application Developer

•  ServiceNow certifications - Service Now System Administrator CSA.

•  ITIL v3 or v4 Foundation Certification

🚀 Job Title: Institutional SaaS Sales Manager – Higher Education

Location: Hyderabad (India) | Travel as needed

Company: Ixyle AI – www.ixyle.ai

Industry: AI, SaaS, EdTech

Compensation: ₹25K–₹50K Fixed + ₹50K/deal + 5% Revenue Share + Quarterly Bonus

🧠 About Us

Ixyle AI is a next-gen SaaS platform using Generative AI to transform higher education assessments and student placements. We power real-time, video-based AI interviews, personalized student feedback, and performance analytics for colleges and universities.

We’re already working with government and public sector institutions and scaling fast across the private sector.

🎯 Your Mission

You will own and drive SaaS sales in the higher education sector. This is a high-performance role focused purely on institutional revenue generation and onboarding colleges/universities for our flagship product.

✅ Who You Are

We’re looking for someone who has:

• ✅ 3–7 years experience in SaaS-based B2B or B2I (Business-to-Institution) sales
• ✅ Proven history of closing deals with higher education institutions (minimum 10+ colleges/universities closed)
• ✅ Past role in EdTech/HRTech/SaaS companies like Classplus, CollegeDekho, iON, LeadSquared, Harappa, Leverage Edu, UpGrad Campus, etc.
• ✅ Clear understanding of college buying cycles, stakeholders (TPOs, Directors, Deans), and decision-making processes
• ✅ Demonstrated revenue achievement (attach proof/case studies in application)
• ✅ Strong communication, negotiation, and pipeline closing abilities

💼 Key Responsibilities

• Own the full sales cycle: lead generation → demo → pitch → proposal → contract → closure
• Execute deal-winning pitches to TPOs, HODs, Directors & Management
• Manage pipeline and follow-ups through CRM
• Generate revenue from colleges, universities, and training institutions
• Travel as needed (with expense reimbursement) for campus-level closing

💰 Compensation Structure

🔹 Phase 1 – 30-Day Performance Trial

• Fixed: ₹25,000/month
• Incentive: ₹50,000 per institution closed
• Goal: Close 1 institution in first 30 days

🔹 Phase 2 – Full Role

• Fixed Salary: ₹50,000/month
• Commission: 5% of net revenue on each deal
• Quarterly Performance Bonus: ₹50,000 minimum on target achievement

💸 Top closers can earn ₹12–15L per annum or more

🔍 Must Include in Application

• CV + LinkedIn Profile
• List of colleges/institutions closed
• Deal sizes and revenue outcomes (confidentiality respected)

🚫 Do Not Apply If You:

• Lack experience in institutional SaaS sales
• Have never closed a paid college/university deal
• Are not revenue-obsessed
• Require daily push or micro-management

📩 Apply Now

Subject: “SaaS Sales Manager – [Your name]

• Discussing project aims with the client and development team.
• Designing and building web applications using Laravel.
• Troubleshooting issues in the implementation and debug builds.
• Working with front-end and back-end developers on projects.
• Testing functionality for users and the backend.
• Ensuring that integrations run smoothly.
• Scaling projects based on client feedback.
• Recording and reporting on work done in Laravel.
• Maintaining web-based applications.
• Presenting work in meetings with clients and management.

• A degree in programming, computer science, or a related field.
• Experience working with PHP, performing unit testing, and managing APIs such as REST.
• A solid understanding of application design using Laravel.
• Knowledge of database design and querying using SQL.
• Proficiency in HTML and JavaScript.
• Practical experience using the MVC architecture.
• A portfolio of applications and programs to your name.
• Problem-solving skills and critical mindset.
• Great communication skills.
• The desire and ability to learn.

Responsibilities:

• Design and implement backend infrastructure and APIs.

• Write high quality code that is robust, readable and scales.

• Possess the drive to dive deep. thrive and progress even in ambiguous situations.

• Encourage and support knowledge sharing within teams and external groups.

• Troubleshoot & debug applications.

• Adopt problem solving as a way of life - always go to the root cause.

• Collaborate with the team to discuss and implement ideas.

• Build responsive, robust and optimised applications.

Requirements:

• Passionate about building backend systems.

• Desire to explore new ideas, open to other ideas as well.

• Love for writing clean, beautiful, readable and testable code.

• Experience in designing extensible DRY code.

• Our stack is based on Django, Python3 Celery, Angular and Postgres.

• We expect you to have a good understanding of Python. It's even better if you are familiar with some of Git. Django, Celery, Redis and Unix Shell.

• Over 6 - 12 years of experience in software testing and test automation
• Minimum 2 years of experience working in agile projects
• In depth knowledge of test automation using Selenium
• Good knowledge in web service testing using Rest Assured
• Experience in development of test automation framework as Data driven/Keyword driven/Hybrid/POM. Should have developed 1 or more automation frameworks from scratch.
• Highly motivated, with a proven ability to work on own initiative within a challenging work environment.
• Strong team player with good organization, planning and leadership skills
• Excellent interpersonal skills, including oral/written communication & influencing skills
• Exceptional presentation, business writing and professional standards Good analytical, diagnostic and creative problem solving skills.
• Atleast one project experience in E-Commerce Domain.
• Must Have - Automation with Java, test framework, QA process & tools like Selenium, Jenkins, Maven, API testing, RESTAssured.
• Good to have Spring Boot.
• Good to have WebTestClient.