Strong Solution Architect – Linux Platforms & Virtualization profiles
Mandatory (Experience 1) – Must have 8+ years of experience in Linux platform engineering, infrastructure, or architecture roles.
Mandatory (Experience 2) – Must have deep expertise in Linux operating systems (Red Hat Enterprise Linux, Ubuntu), including system administration, kernel tuning, and performance optimization.
Mandatory (Experience 3) – Must have strong experience with virtualization technologies (VMware vSphere, KVM, or Hyper-V) and architecting enterprise-grade virtualization environments.
Mandatory (Experience 4) – Must have experience defining high availability (HA), disaster recovery (DR), and business continuity strategies.
Mandatory (Experience 5) – Must have experience with automation tools (Ansible, Terraform) and scripting (Bash/Python), along with familiarity in containerization (Docker) and orchestration (Kubernetes).
Mandatory (Experience 6) – Must have strong knowledge of networking, storage systems, and security hardening/compliance, with experience in Agile or DevOps-driven environments.
Mandatory (Skill) – Must have excellent problem-solving, communication, and stakeholder management skills.
Shubham Vishwakarma
Full Stack Developer - Averlon
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About MyOperator
MyOperator is a Business AI Operator and category leader that unifies WhatsApp, Calls, and AI-powered chatbots & voice bots into one intelligent business communication platform.Unlike fragmented communication tools, MyOperator combines automation, intelligence, and workflow integration to help businesses run WhatsApp campaigns, manage calls, deploy AI chatbots, and track performance — all from a single no-code platform.Trusted by 12,000+ brands including Amazon, Domino’s, Apollo, and Razor-pay, MyOperator enables faster responses, higher resolution rates, and scalable customer engagement
Role Summary
We’re hiring a Front Deployed Engineer (FDE)—a customer-facing, field-deployed engineer who owns the end-to-end delivery of AI bots/agents.
This role is “frontline”: you’ll work directly with customers (often onsite), translate business reality into bot workflows, do prompt engineering + knowledge grounding, ship deployments, and iterate until it works reliably in production.
Think: solutions engineer + implementation engineer + prompt engineer, with a strong bias for execution.
Responsibilities
Requirement Discovery & Stakeholder Interaction
- Join customer calls alongside Sales and Revenue teams.
- Ask targeted questions to understand business objectives, user journeys, automation expectations, and edge cases.
- Identify data sources (CRM, APIs, Excel, SharePoint, etc.) required for the solution.
- Act as the AI subject-matter expert during client discussions.
Use Case & Solution Documentation
- Convert discussions into clear, structured use case documents, including:
- Problem statement & goals.
- Current vs. proposed conversational flows.
- Chatbot conversation logic, integrations, and dependencies.
- Assumptions, limitations, and success criteria.
Customer Delivery Ownership
Own deployment of AI bots for customer use-cases (lead qualification, support, booking, etc.). Run workshops to capture processes, FAQs, edge cases, and success metrics. Drive the go-live process: requirements through monitoring and improvement.
Prompt Engineering & Conversation Design
Craft prompts, tool instructions, guardrails, fallbacks, and escalation policies for stable behavior. Build structured conversational flows: intents, entities, routing, handoff, and compliant responses. Create reusable prompt patterns and "prompt packs."
Testing, Debugging & Iteration
Analyze logs to find failure modes (misclassification, hallucination, poor handling). Create test sets ("golden conversations"), run regressions, and measure improvements. Coordinate with Product/Engineering for platform needs.
Integrations & Technical Coordination
Integrate bots with APIs/webhooks (CRM, ticketing, internal tools) to complete workflows. Troubleshoot production issues and coordinate fixes/root-cause analysis.
What Success Looks Like
- Customer bots go live quickly and show high containment + high task completion with low escalation.
- You can diagnose failures from transcripts/logs and fix them with prompt/workflow/knowledge changes.
- Customers trust you as the “AI delivery owner”—clear communication, realistic timelines, crisp execution.
Requirements (Must Have)
- 2–5 years in customer-facing delivery roles: implementation, solutions engineering, customer success engineering, or similar.
- Hands-on comfort with LLMs and prompt engineering (structured outputs, guardrails, tool use, iteration).
- Strong communication: workshops, requirement capture, crisp documentation, stakeholder management.
- Technical fluency: APIs/webhooks concepts, JSON, debugging logs, basic integration troubleshooting.
- Willingness to be front deployed (customer calls/visits as needed).
Good to Have (Nice to Have)
- Experience with chatbots/voicebots, IVR, WhatsApp automation, conversational AI platforms with at least a couple of projects.
- Understanding of metrics like containment, resolution rate, response latency, CSAT drivers.
- Prior SaaS onboarding/delivery experience in mid-market or enterprises.
Working Style & Traits We Value
- High agency: you don’t wait for perfect specs—you create clarity and ship.
- Customer empathy + engineering discipline.
- Strong bias for iteration: deploy → learn → improve.
- Calm under ambiguity (real customer environments are chaotic by default).
Data ScienceJob Title: Senior Data Scientist
Location: Pune
Job Type: Full-Time
About TVARIT
TVARIT GmbH specializes in developing and delivering cutting-edge artificial intelligence (AI) solutions for the metal industry, including steel, aluminum, copper, cast iron, and more. Our software products empower customers to make intelligent, data-driven decisions, driving advancements in Predictive Quality (PsQ), Predictive Maintenance (PdM), and Energy Consumption Reduction (PsE), etc.
With a strong portfolio of renowned reference customers, state-of-the-art technology, a talented research team from prestigious universities, and recognition through esteemed awards such as the EU Horizon 2020 AI Prize, TVARIT is recognized as one of the most innovative AI companies in Germany and Europe.
We are looking for a self-motivated person with a positive "can-do" attitude and excellent oral and written communication skills in English.
About the Role
We are looking for a highly skilled and motivated Senior Data Scientist who is passionate about solving complex data problems and developing cutting-edge solutions. This role requires someone with a strong technical background in data science, with full-stack development exposure from requirement gathering to solution deployment. The ideal candidate will be comfortable working as an individual contributor and as an active team member.
Key Responsibilities
· Translate business challenges into ML solutions by understanding customer needs and the broader context.
· Perform exploratory data analysis (EDA) and feature engineering on large-scale datasets.
· Write clean, efficient, and maintainable Python code for data processing, modeling, and analysis, following MLOps best practices.
· Build, optimize, deploy, and monitor scalable machine learning models and pipelines on cloud platforms (Azure preferred; AWS/GCP is a plus)
· Actively participate in code reviews, technical discussions, and knowledge-sharing sessions to drive innovation and best practices.
· Lead client discussions and present actionable insights and recommendations to stakeholders effectively.
· Mentor junior data scientists, providing guidance on model development, best practices, and technical problem-solving.
Qualifications
· Bachelor’s or master's degree in Metallurgy, mechanical, IT, Computer, or a related field from IIT, NIT, or top university.
· 4+ years of experience in data science and machine learning.
· Experience in the metal industry, manufacturing industry, or similar industry exposure
Technical Skills
· Strong Python programming skills with experience in libraries like Pandas, Scikit-learn, TensorFlow, or PyTorch.
· Strong foundation in ML & AI, covering statistical analysis, time series forecasting, deep learning, and optimization, with expertise in ML techniques like Random Forest, Gradient Boosting, Neural Networks, SVM, Clustering, PCA, Reinforcement Learning and and optimization algorithms.
· Proficiency in cloud platforms such as Azure [Preferred], AWS, or GCP.
· Good to have experience with real-time AI model deployment in industrial environments [On-premises, cloud or edge]
· Familiar with SQL and NoSQL databases.
· Understanding of MLOps, including model versioning, monitoring, and deployment.
· Good to have knowledge of deep learning architectures and techniques for computer vision, NLP, and generative AI is plus
· Strong analytical and problem-solving skills with a structured approach to debugging and optimization.
· Effective communicator and team collaborator in agile, fast-paced environments.
· Ability to work in a fast-paced, agile environment and adapt to changing priorities.
About the Role
We’re looking for a Demand Generation Lead who can create and manage content that resonates with a US audience. You’ll plan, write, and manage different types of content that tell our story, support growth, and drive engagement. If you love writing, enjoy building content strategies, and can juggle multiple projects, this role is for you.
What You’ll DoContent Strategy & Marketing
- Plan and execute content strategies that align with business and ABM goals.
- Write and edit across formats: blogs, case studies, emails, newsletters, templates, social posts, and landing pages.
- Own the content-driven demand generation funnel from awareness to MQLs to pipeline influence.
- Create and manage gated assets (ebooks, whitepapers, playbooks, case studies) to drive lead capture.
- Engage with clients and experts through content strategies that drive engagement and conversions.
SEO & Content Management
- Manage end-to-end blog workflows, including topic research, keyword planning, assigning content to writers, editing, creating CTAs, and publishing.
- Collaborate with SEO teams and freelancers to ensure all content is optimized for search and published on time.
- Use analytics to measure content performance and suggest improvements.
- Track and optimize content performance based on traffic, conversions, MQLs, and pipeline contribution.
Campaign & ABM Support
- Create and review newsletter content, manage group postings, and track analytics.
- Support ABM and LinkedIn campaigns by providing required collateral.
- Work closely with the Sales and Growth teams to align content with ICP-driven ABM campaigns.
- Support outbound and inbound motions with sales enablement content.
Planning & Coordination
- Own and manage monthly content calendars to ensure smooth delivery across channels.
- Collaborate with design, product, and social media teams to align content with campaigns.
Performance, Quality & Metrics
- Maintain consistent tone, voice, and messaging across all channels.
- Review and approve freelance work, and manage their monthly budgets and invoices.
- Monitor newsletter subscribers and maintain records.
Performance & Growth Metrics (New Section)
You will own and optimize key metrics, including:
- Content-driven leads and MQL growth
- Engagement rates across assets and channels
- Contribution to pipeline and revenue influence
- Performance insights via Google Analytics, HubSpot, and LinkedIn Campaign Manager
What We’re Looking For
- 5-6 years of experience in demand generation, content marketing, or SEO.
- Experience creating content for a US audience.
- Strong writing, storytelling, and ABM-focused content skills.
- Comfortable with SEO basics and tools like Google Analytics.
- Strong project and deadline management skills.
- Team player with excellent communication abilities.
Good to Have
- Experience in B2B SaaS or tech.
- Knowledge of social media marketing and paid campaigns.
- Familiarity with tools like HubSpot, WordPress, or other CMS platforms.
Why You’ll Love Working Here
- Own and shape our content marketing and ABM initiatives.
- Work with a friendly, collaborative team.
- Flexible, remote-friendly work setup.
- Make a real impact on our brand growth in the US.
NodeJS (Node.js)
Amazon Web Services (AWS)Position Overview
We're seeking a skilled Full Stack Developer to build and maintain scalable web applications using modern technologies. You'll work across the entire development stack, from database design to user interface implementation.
Key Responsibilities
- Develop and maintain full-stack web applications using Node.js and TypeScript
- Design and implement RESTful APIs and microservices
- Build responsive, user-friendly front-end interfaces
- Design and optimize SQL databases and write efficient queries
- Collaborate with cross-functional teams on feature development
- Participate in code reviews and maintain high code quality standards
- Debug and troubleshoot application issues across the stack
Required Skills
- Backend: 3+ years experience with Node.js and TypeScript
- Database: Proficient in SQL (PostgreSQL, MySQL, or similar)
- Frontend: Experience with modern JavaScript frameworks (React, Vue, or Angular)
- Version Control: Git and collaborative development workflows
- API Development: RESTful services and API design principles
Preferred Qualifications
- Experience with cloud platforms (AWS, Azure, or GCP)
- Knowledge of containerization (Docker)
- Familiarity with testing frameworks (Jest, Mocha, or similar)
- Understanding of CI/CD pipelines
What We Offer
- Competitive salary and benefits
- Flexible work arrangements
- Professional development opportunities
- Collaborative team environment
- Handle inbound & outbound leads generated through marketing campaigns and referrals.
- Conduct project presentations, site visits, and property tours for prospective buyers.
- Build and maintain strong client relationships through timely follow-ups and personalized communication.
- Understand client requirements, provide property solutions, and address concerns to ensure smooth decision-making.
- Collaborate with the marketing team to align sales strategies with campaigns and promotional activities.
- Negotiate pricing, terms, and close deals in alignment with company policies and project guidelines.
- Maintain accurate records of inquiries, leads, and conversions using CRM tools and reporting systems.
- Stay updated on market trends, competitor offerings, and pricing strategies to strengthen sales pitch.
- Achieve monthly/quarterly sales targets and contribute to overall business growth.
This position has multiple openings and suitable candidate shall be required to join by 1st Sept 2025 or at earliest.
Description:
As a Data Engineering Lead at Company, you will be at the forefront of shaping and managing our data infrastructure with a primary focus on Google Cloud Platform (GCP). You will lead a team of data engineers to design, develop, and maintain our data pipelines, ensuring data quality, scalability, and availability for critical business insights.
Key Responsibilities:
1. Team Leadership:
a. Lead and mentor a team of data engineers, providing guidance, coaching, and performance management.
b. Foster a culture of innovation, collaboration, and continuous learning within the team.
2. Data Pipeline Development (Google Cloud Focus):
a. Design, develop, and maintain scalable data pipelines on Google Cloud Platform (GCP) using services such as BigQuery, Dataflow, and Dataprep.
b. Implement best practices for data extraction, transformation, and loading (ETL) processes on GCP.
3. Data Architecture and Optimization:
a. Define and enforce data architecture standards, ensuring data is structured and organized efficiently.
b. Optimize data storage, processing, and retrieval for maximum
performance and cost-effectiveness on GCP.
4. Data Governance and Quality:
a. Establish data governance frameworks and policies to maintain data quality, consistency, and compliance with regulatory requirements. b. Implement data monitoring and alerting systems to proactively address data quality issues.
5. Cross-functional Collaboration:
a. Collaborate with data scientists, analysts, and other cross-functional teams to understand data requirements and deliver data solutions that drive business insights.
b. Participate in discussions regarding data strategy and provide technical expertise.
6. Documentation and Best Practices:
a. Create and maintain documentation for data engineering processes, standards, and best practices.
b. Stay up-to-date with industry trends and emerging technologies, making recommendations for improvements as needed.
Qualifications
● Bachelor's or Master's degree in Computer Science, Data Engineering, or related field.
● 5+ years of experience in data engineering, with a strong emphasis on Google Cloud Platform.
● Proficiency in Google Cloud services, including BigQuery, Dataflow, Dataprep, and Cloud Storage.
● Experience with data modeling, ETL processes, and data integration. ● Strong programming skills in languages like Python or Java.
● Excellent problem-solving and communication skills.
● Leadership experience and the ability to manage and mentor a team.
• Responsible for writing, editing, and proofreading content
• Ideating and formulating a suitable content strategy to support the business needs
• Enhancing web traffic and user engagement by managing content across all social media
platforms
• Write engaging social media content
• Collaborate with marketing, PR, and customer experience to develop a variety of content
marketing materials
• Interpret creative direction and adapt points from creative briefs into persuasive copy
• Scheduling timelines for posting content
SKILLS REQUIRED:
• Creativity and ability to develop engaging content
• Excellent communication and writing skills
• Good time management and organizational skills
• Basic technical knowledge of HTML and web publishing and high computer literacy
• Knowledge of SEO and web traffic metric
• Social media management experience
• Strong research skills
Started in 2015, this lifestyle and accessories startup has taken over the consumer electronics sector in India. Our client has a product range that includes an extensive catalog of headphones, speakers, travel accessories, and modern earphones. It believes in providing cutting edge electronic products stamped with durability and affordability.
The brand is associated with some of the major icons across categories and tie-ups with industries covering fashion, sports, and music, of course. The founders are Marketing grads, with vast experience in the consumer lifestyle products and other major brands. With their vigorous efforts toward quality and marketing, they have been able to strike a chord with major E-commerce brands and even consumers.
- Developing drivers and middleware for mobile and wearable computing on cutting edge new hardware components.
- Optimizing constrained environments of low power mobile devices by writing excellent C/ C++ solutions.
- Collaborating with our business development team, providing support in customer communication and other additional service inquiries, sales leads and sales support.
- Designing new features / hardware introduction
- Implementing and testing software according to design
- Creating tools to automate processes
- Specifying requirements for new/legacy functionality
- Defining feature design and system architecture
- Supporting feature and maintenance teams
- Closely cooperating with development teams
- Closely cooperating with Product Technology Area members (Product Owners, Technical - Specialist, Architect, Subject Matter Experts)
What you need to have:
- BE – CS/ ECE, MS, ME, MTech
- Very Strong C/ C++ experience in an embedded environment
- Expertise in Python Framework
- Good working experience in Unix / Linux operating system
- Must have good knowledge of Bluetooth, BLE, Wi-Fi standards
- Candidates having experience in developing Hearables (TWS, Neckband, headphones) and IoT systems are preferred
- Good knowledge of SDLC,SQA
React.js
JavaYour job as a business development manager is to identify sales leads, pitch services to new clients and maintain a good working relationship with new contacts and exisitng customers.
Your role will include:
- Following up new business opportunities and setting up meetings
- Planning and preparing presentations
- Communicating new services to prospective clients
- Overseeing the development of marketing literature
- Writing reports
- Providing management with feedback
- Using effective communication skills to build and develop relaionships in the industry
We are looking for a candidate who is confident, polite and willing to work hard to build their own careers within the organisation while developing the company's customer base. The management will be supportive towards new ideas and provide assistance with the existing ones.
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon