Creative Content Writer

Quality Control (QC) Engineer / Inspector

Location : Sanpada ( Navi Mumbai)

Qualifications Skills :

Education

 Diploma or Bachelor’s Degree in Civil Engineering, Mechanical Engineering, Architecture, or related field.

Experience

 2–7 years of experience in façade QC, curtain wall systems, cladding, or aluminium / glass fabrication.

 Knowledge of façade materials, production processes, and installation techniques.

Technical Skills

 Familiarity with quality standards: ASTM, EN, BS, ISO.

 Ability to read engineering drawings and façade shop drawings.

 Knowledge of QA/QC procedures, ITPs, and NCR management.

 Understanding of façade testing procedures.

Soft Skills

 Strong attention to detail.

 Good communication and reporting skills.

 Ability to work with cross-functional teams.

 Analytical and problem-solving abilities.

Working Conditions

 Work split between production facility and construction site (depending on projectstage).

 Requires physical inspection of façade elements at various heights or scaffolding (as per safety rules).

Review Criteria

• Strong Enterprise Account Executive / Enterprise Sales Leader Profile with focus on US Market
• Candidate must be based out of US only
• 4+ YOE in B2B SaaS in sales experience selling to/decision maker Finance team (CXO/Head Finance) with proven track record in the US market
• Experience in closing Mid-Market and Enterprise deals with annual target of $1M+ with average deal sizes of $75K+
• Hands-on experience running full sales cycles – from discovery, pilots, negotiation, to closing
• Must have worked in a B2B SaaS product company, preferably early-stage, with exposure to building repeatable sales motions
• Experience with long sales cycles (3 to 6-months) for complex B2B SaaS/ERP solutions, consultative selling, and working with CXO-level stakeholders
• Experience selling directly to CFOs and senior finance leaders in enterprise accounts
• Must be from a B2B SaaS where primary target persona is Finance team (BillingTech, AuditTech, FinTech)

Job Specific Criteria

• CV Attachment is mandatory
• Which state you are based in United States?
• What's the highest annual ticket size you have handled (in USD)?
• What's the annual target you had in your last organization (in USD)?
• How much is your Current CTC (Fixed + Variable breakup)?
• Please provide your WhatsApp number.

Role & Responsibilities

• Pipeline ownership – Drive qualified opportunities from first meeting to close.
• Discovery & demos – Run high-impact discovery calls and demos, often tailored with Engineering & CS.
• Pilots that win – Steer complex pilots with flawless follow-through; project manage across internal teams and prospects.
• Negotiation & closing – Go toe-to-toe with legacy vendors, show company’s value, and win.
• Implementation partnership – Ensure a smooth go-live with Engineering & Solutions.
• Mentorship – Help existing AEs level up in enterprise sales, joining as a senior persona when needed.
• CRM & process excellence – Instill rigor for pipeline visibility and repeatability.
• Voice of the customer – Champion customer feedback to shape Product & GTM.
• Future team-building – Hire and scale the North America AE org over time.

Ideal Candidate

• 4+ years of experience selling B2B SaaS to US customers.
• Previous experience selling to Mid-Market and Enterprise customers: Closed Enterprise deals, $75k+ ACV, ideally $100k+.
• Prior experience in coaching/managing junior AEs is a strong plus.
• Ability to build, manage and motivate a team.
• Prior success as one of the first AEs at a startup; comfortable working in a fast-paced, early-stage startup environment.
• Track record of consistently beating your quota.
• Solid hustle and entrepreneurial mindset; Thrive under the uncertainty that comes with an early-stage setup.
• Strong project management skills and proactiveness, given the long sales cycle and pilot (free trials) heavy nature of deals.
• Strong first-principles understanding of sales processes (e.g. MEDDPICC).
• Self-driven individual with high ownership and strong work ethic.
• Previous entrepreneurial experience is a huge plus.
• Not taking yourself too seriously.

AI based systems design and development, entire pipeline from image/ video ingest, metadata ingest, processing, encoding, transmitting.

Implementation and testing of advanced computer vision algorithms.

Dataset search, preparation, annotation, training, testing, fine tuning of vision CNN models. Multimodal AI, LLMs, hardware deployment, explainability.

Detailed analysis of results. Documentation, version control, client support, upgrades.

Key Responsibilities:

• Design AI-driven solutions for core veterinary workflows, such as patient triaging, diagnostics support, treatment plan suggestions, appointment scheduling, and client communications.
• Develop AI assistants and multi-agent systems to automate routine tasks like SOAP note summarization, clinical documentation (Medical Records), prescription and other reminders, and client follow-ups.
• Implement RAG pipelines leveraging veterinary knowledge bases, clinical case data, Case Summaries and standard care protocols.
• Integrate LLMs into practice management modules for intelligent querying, FAQ automation, and veterinary clinical knowledge support.
• develop and deploy AI services using Azure AI Services, Azure OpenAI, and integrate with Hapivet.ai
• Ensure secure, compliant, and scalable deployment of AI/ML models in line with veterinary data privacy standards and healthcare regulations.
• Collaborate with veterinarians, product managers, and software engineers to ensure AI solutions are clinically relevant, user-friendly, and impactful.

Required Skillset:

Machine Learning & Deep Learning for Healthcare

• Strong foundation in supervised/unsupervised learning, anomaly detection, and predictive analytics applicable to veterinary clinical data.
• Experience with CNNs (for imaging), RNNs/LSTMs (for sequential data like patient histories) and Transformers for natural language tasks.
• Proficiency with TensorFlow, PyTorch, and Hugging Face.
• Good to have understanding on GANs (medical imaging, data privacy-safe synthetic data, or image-based diagnostics)

LLMs & NLP for Veterinary Applications

• Deep understanding of transformer models (GPT, BERT, LLaMA) applied in medical/veterinary text summarization and knowledge extraction.
• Fine-tuning LLMs with techniques with PEFT, LoRA, QLoRA for domain-specific tasks.
• Expertise in Prompt Engineering and Chain of Thought (CoT) design for veterinary use cases.
• RAG pipeline development with veterinary case databases using Pinecone or Azure AI Search.

AI Agent Workflows & Orchestration

• Multi-agent coordination and AI workflow orchestration with LangChain, LangGraph, and Microsoft Autogen SDK.
• Experience with context management using Model Context Protocol (MCP) in clinical task flows.

Cloud AI Deployment & Engineering

• Experience with Azure AI, model serving (Triton, TensorFlow Serving, TorchServe).
• CI/CD for AI models, cloud security, and scalable API integration.

Programming & Data Engineering

• Advanced proficiency in Python, R
• working knowledge of TypeScript.
• Veterinary data processing experience—handling EMRs, patient histories, and diagnostic reports
• Data cleaning, transformation, and ensuring data quality for clinical applications.

Preferred Experience:

• AI/ML deployment in veterinary practice management systems or healthcare applications.
• Understanding of veterinary compliance, data sensitivity, and client confidentiality (e.g., pet health records, veterinary licensing).
• Exposure to veterinary-specific AI applications, such as diagnostic imaging analysis, clinical decision support systems, or client interaction bots.
• Familiarity with DeepSpeed, Megatron-LM, and scaling techniques for LLMs.

Soft Skills & Domain Understanding:

• “Passion for improving pet care and veterinary services through technology”.
• Strong communication skills for collaborating with veterinary professionals.
• Ability to translate clinical workflows into AI-enabled solutions.

This Role is ,perfect for someone looking to further their experience in web application and software development. to help maintain and improve our platform. Proficiency in Backend Development Someone with previous experience in ROR

1.Design and build reusable and efficient ruby code

2. Architect and install new infrastructure

3. Plan and implement new features

4. Integrate data sources and databases into one system

About the company- FPL Technologies

Credit cards haven't changed much for over half a century so our team of seasoned bankers, technologists, and designers set out to redefine the credit card for you - the consumer. The result is OneCard - a credit card reimagined for the mobile generation. OneCard is India's best metal credit card built with full-stack tech. It is backed by the principles of simplicity, transparency, and giving back control to the user.

“Re-imaging credit and payments from First Principles”

Payments is an interesting engineering challenge in itself with requirements of low latency, transactional guarantees, security, and high scalability. When we add credit and engagement into the mix, the challenge becomes even more interesting with underwriting and recommendation algorithms working on large data sets. We have eliminated the current call center, sales agent, and SMS-based processes with a mobile app that puts the customers in complete control. To stay agile, the entire stack is built on the cloud with modern technologies. 

OneCard (Best credit card app) : http://www.getonecard.app/">www.getonecard.app

OneScore (Over 10 million downloads): http://www.onescore.app/">www.onescore.app

Create a consumer facing credit card product that will be used by millions of users. 

What you will do:

• Be a part of our backend for frontend/ credit card processing engineering teams to build the best homegrown credit card stack.
• Partner with the product teams to understand the product features and specifications, translate them into high level and low-level design.
• Work with frontend and backend developers to build out a customer-centric experience that will constantly evolve.
• Respond to support team tickets as needed to resolve bugs and issues.
• Participate in contributing ideas, updates, and product development areas to the team.

Experience Range: 

5- 7 years with technical hands-on experience in building large-scale B2C applications catering to millions of users. Previous experience in building scalable products is a must.

Technical Expertise:

• Strong insight into Java programming language (Class loading, Memory Management, Transactions, Executors, Lambdas and Streams).
• Experience in distributed technologies, real-time, high throughput and low latency systems.
• Hands-on prior experience with scalable Cloud based architectures.
• Experience in one or more frameworks like Spring is a plus but not required.
• Proficiency in data structures & algorithms.
• Strong problem solving and analytical skills.
• Any experience in payments is a plus.

Own Android SDKs, working hand-in-hand with the founding team

Design and build delightful user interfaces for native apps on Android

You will be (co-) responsible for our software development kit (SDK) for Android

Building mobile apps in both Swift and Kotlin.

You work independently on your own code, but you also spend time collaborating with others.

You are involved in all stages of app development and contribute to the roadmap.

You get the freedom to experiment with new Android technology.

Ownership — advocate for projects and solutions that need to be launched ground up.

Experience

Min 2 to 4 years in developing Android applications in Java / Kotlin / C++ /Gradle/Groovy.

Worked on SDKs/Frameworks.

Strong understanding of software design patterns as well as Android specifics.

Experience with authenticated sessions using authentication tokens and have at-least

fundamental knowledge of app security.

Good to have:-

Experience with Cross-platform frameworks is a plus (React Native, Flutter, Cordova,

Xamarin).

Have implemented security standards and guides.

Experience building applications at scale.

Experience with third-party libraries and APIs like Mobile Vision, MLKit and/or

Camera API.

Good understanding of garbage collection, design patterns and continuously

discover, evaluate,and implement new technologies to maximize development efficiency.

Unit-test code for robustness, including edge cases, usability, and general

reliability

• Hands-on experience with Vlocity DataRaptor, Vlocity Cards, Vlocity OmniScript, VlocityDX, Vlocity Integration Procedures, Vlocity OM and OM+.
• Certification in a Vlocity supported industry is necessary
• Vlocity CLM is a plus but not required.  
• Hands-on design and development of Lightning Web Components.
• 4+ years of experience in a hands-on technical leadership position
• 3+ years of software development, Salesforce development experience preferred
• 1+ years of Vlocity project experience as Technical Lead
• Vlocity Platform Developer certification
• Vlocity CPQ certification or certification in either Salesforce CPQ or Apttus CPQ
• Vlocity OM certification is highly preferred.