Merchandiser Hand-Knit Segment

Job Title : Field Sales Executive ( Healthcare- Gynae Segment)

Work Mode - Onsite (Field Role)

Multiple Job Locations : Aurangabad, Kolhapur, Surat, Vadodara, Rajkot, Nagpur, Pune, Mumbai, Nashik

Experience Required

2 to 5 years for RE and ASM 5 to 8 Years (Field Sales - Healthcare & Gynae segment)

Qualifications

Graduate/Postgraduate(B.Sc, M.Sc, BMS, B.Pharma, M.Pharma, Biotechnology)

Working Days - 6 Days

Working Hours 9:00 AM to 7:00 PM

Additional Requirements - Driving License & Two-Wheler

Role Summary:

The Relationship Executive will generate hospital-based leads by engaging doctors and counselling expectant parents on cord blood banking, diagnostics, and related services, while managing client presentations, enrollments, CRM reporting, and logistics coordination to drive business growth.

Key Areas of Responsibility:

·      Meet doctors to promote the concept of cord blood banking and stem cell applications, and facilitate interaction with expectant parents.

·      Promote diagnostics and other services introduced by the company from time to time and generate prescriptions.

·      Visit hospitals, nursing homes, and relevant healthcare centers for lead generation, diagnostic business, and institutional tie-ups.

·      Build strong relationships with hospital front-office staff, nursing staff, doctor attendants, and coordinators to enable client interaction and service promotion.

·      Place drop boxes and flyer stands at strategic locations within hospitals and doctor chambers.

·      Ensure regular refilling and upkeep of drop boxes and flyer stands with updated marketing material.

·      Conduct counselling sessions at hospitals and doctor chambers to generate qualified leads.

·      Update daily activities, lead generation, counselling, and follow-ups accurately in the CRM system.

·      Call prospective clients for counselling and referrals, and conduct free presentations at their preferred location.

·      Enroll clients, complete documentation, collect payments, coordinate delivery logistics, and share competitor/market information as required.

Qualification, Experience & Skills:

·      Graduate in Pharmacy (B.Pharm / D.Pharm) or Life Sciences (preferred).

·      Good communication and interpersonal skills.

·      Comfortable working in hospital environments and field-based roles.

·      Basic knowledge of MS Office and willingness to learn CRM systems.

·      Presentable, customer-oriented, and relationship-focused approach.

Role Summary:

The Relationship Executive will generate hospital-based leads by engaging doctors and counselling expectant parents on cord blood banking, diagnostics, and related services, while managing client presentations, enrollments, CRM reporting, and logistics coordination to drive business growth.

Key Areas of Responsibility:

·      Meet doctors to promote the concept of cord blood banking and stem cell applications, and facilitate interaction with expectant parents.

·      Promote diagnostics and other services introduced by the company from time to time and generate prescriptions.

·      Visit hospitals, nursing homes, and relevant healthcare centers for lead generation, diagnostic business, and institutional tie-ups.

·      Build strong relationships with hospital front-office staff, nursing staff, doctor attendants, and coordinators to enable client interaction and service promotion.

·      Place drop boxes and flyer stands at strategic locations within hospitals and doctor chambers.

·      Ensure regular refilling and upkeep of drop boxes and flyer stands with updated marketing material.

·      Conduct counselling sessions at hospitals and doctor chambers to generate qualified leads.

·      Update daily activities, lead generation, counselling, and follow-ups accurately in the CRM system.

·      Call prospective clients for counselling and referrals, and conduct free presentations at their preferred location.

·      Enroll clients, complete documentation, collect payments, coordinate delivery logistics, and share competitor/market information as required.

Qualification, Experience & Skills:

·      Graduate in Pharmacy (B.Pharm / D.Pharm) or Life Sciences (preferred).

·      Good communication and interpersonal skills.

·      Comfortable working in hospital environments and field-based roles.

·      Basic knowledge of MS Office and willingness to learn CRM systems.

·      Presentable, customer-oriented, and relationship-focused approach.

About the Role

We are looking for a Full Stack AI Engineer who can take an ambiguous problem and turn it into a complete, production-ready AI product.

This is a builder role.

You will work across the entire stack — AI models, agents, backend services, APIs, databases, data pipelines, frontend applications, infrastructure, and production deployment. You should be comfortable deciding what needs to be built, writing the code, deploying it, measuring whether it works, and continuously improving it.

We are not looking for someone who only builds notebooks, trains models, writes prompts, or creates architecture diagrams for another team to implement. We want engineers who ship complete products.

A typical project might involve designing an agentic workflow, building a retrieval pipeline, writing Python APIs, creating a React interface, integrating enterprise data, deploying to Kubernetes, implementing evaluations, and debugging the application in production.

The distance between an idea and working software should be measured in weeks, not quarters.

This role is based in Hyderabad and is 6 days per week in the office.

We are looking for:

1. A person that can smoothly navigate extreme ambiguity
2. Full stack software builder
3. AI depth, must have built a production AI system
4. Excellent top-notch communication and stakeholder management
5. Prioritizes growth over work-life balance

What You'll Do

Build AI Products End-to-End

• Own AI applications from problem definition through architecture, development, deployment, and production operation.
• Translate ambiguous product and business requirements into working software.
• Build across AI/ML, backend services, APIs, databases, frontend interfaces, data pipelines, authentication, infrastructure, and observability.
• Rapidly prototype, test with real users and data, and turn successful ideas into production-grade systems.
• Make pragmatic engineering decisions based on speed, reliability, simplicity, maintainability, and user value.

AI, LLMs & Agents

• Build production applications using commercial and open-source foundation models.
• Design RAG systems, agentic workflows, tool/function calling, structured outputs, memory, human-in-the-loop workflows, and multi-agent systems where appropriate.
• Work with frameworks such as LangGraph, LangChain, Semantic Kernel, LlamaIndex, or equivalent tools.
• Build retrieval systems using embeddings, vector search, BM25, hybrid retrieval, reranking, metadata filtering, and knowledge graphs.
• Design prompt and context engineering strategies for complex workflows.
• Evaluate model choices based on accuracy, latency, reliability, security, and cost.
• Build automated evaluations and regression tests for AI behavior.
• Fine-tune or adapt models when prompting and retrieval are insufficient.

Backend, Frontend & Data

• Build production backend systems primarily in Python using FastAPI, Flask, Django, or similar frameworks.
• Design APIs, asynchronous workflows, background jobs, queues, caching layers, and event-driven systems.
• Work with PostgreSQL, SQL Server, MongoDB, Redis, Snowflake, and other production data stores.
• Build modern applications using React, Next.js, TypeScript, JavaScript, or equivalent frameworks.
• Create interfaces for copilots, conversational AI, workflow automation, analytics, review queues, and operational applications.
• Implement streaming responses, real-time updates, authentication, permissions, and API integrations.
• Build ingestion and transformation pipelines for structured and unstructured enterprise data.
• Work with documents, databases, APIs, event streams, images, logs, and operational datasets.
• Maintain provenance, permissions, metadata, and traceability across enterprise information.

ML & Computer Vision

• Use classical ML or deep learning when it is better suited to the problem than an LLM.
• Build systems involving classification, forecasting, anomaly detection, ranking, recommendations, optimization, or prediction.
• Build computer-vision applications involving detection, classification, segmentation, OCR, tracking, or image/video analysis.
• Work with PyTorch, TensorFlow, Hugging Face, OpenCV, or equivalent tools.
• Understand model development, evaluation, inference, and productionization.

Deploy & Operate What You Build

• Deploy applications across AWS, Azure, GCP, on-premises, hybrid, or edge environments.
• Containerize and operate applications using Docker and Kubernetes.
• Build CI/CD pipelines, automated testing, monitoring, and observability.
• Own reliability, latency, availability, security, evaluation, cost, and scalability.
• Debug failures across application code, AI models, data, infrastructure, and integrations.
• Build retries, fallbacks, rollback mechanisms, and human intervention into critical systems.

Integrate With Enterprise Systems

• Connect AI applications to enterprise platforms, databases, APIs, and operational systems.
• Integrate with systems such as ERP, MES, PLM, CRM, data warehouses, IoT platforms, document repositories, and legacy applications.
• Work within enterprise networking, security, and data-governance constraints.
• Implement authentication, authorization, secrets management, auditability, permissions, and data isolation.
• Build AI systems capable of safely operating on sensitive enterprise data.

What You Bring

• 5+ years of software engineering experience, with meaningful experience building AI/ML-powered products. Exceptional candidates with less experience but strong demonstrated ability will be considered.
• Strong hands-on programming ability in Python.
• Experience building complete production applications rather than isolated models, notebooks, or proofs of concept.
• Strong backend fundamentals including APIs, databases, distributed systems, and application architecture.
• Experience with React, Next.js, TypeScript, JavaScript, or equivalent frontend technologies.
• Strong understanding of LLMs, RAG, agents, tool calling, embeddings, vector search, prompt/context engineering, AI evaluation, and ML fundamentals.
• Experience with SQL and production databases.
• Experience with at least one major cloud platform: AWS, Azure, or GCP.
• Experience with Docker, Kubernetes, or equivalent production infrastructure.
• Understanding of production AI concerns including reliability, latency, security, observability, evaluation, and cost.
• Strong debugging skills across the full stack.
• Ability to independently turn loosely defined requirements into working software.
• Strong product judgment, high agency, technical curiosity, and a bias toward shipping.
• Bachelor's degree in Computer Science, Engineering, Data Science, or a related field, or equivalent demonstrated experience.

Preferred / Top-Candidate Signals

• You've independently shipped an AI application from database → backend → AI → frontend → production.
• You've built production RAG or agentic systems, not just demos.
• You've used LangGraph, LangChain, Semantic Kernel, LlamaIndex, or similar frameworks.
• You understand when not to use an LLM or agent.
• You've worked with hybrid retrieval, reranking, vector search, or knowledge graphs.
• You've built with both commercial and open-source models.
• You've deployed ML or computer-vision systems into production.
• You have experience with React/Next.js + Python/FastAPI or a comparable modern stack.
• You have experience with Kubernetes, cloud infrastructure, and production observability.
• You have integrated software with complex enterprise or industrial systems.
• Experience in manufacturing, industrial, supply chain, logistics, engineering, energy, aerospace, automotive, or other physical-world environments is a strong plus.
• You've built meaningful side projects, open-source software, startups, or substantial systems outside your assigned responsibilities.
• You have a history of turning vague ideas into shipped products.

What Makes Someone Exceptional

The strongest engineers in this role combine three abilities:

AI Engineering — Choose the right model, retrieval approach, agent architecture, evaluation method, or ML technique.

Software Engineering — Build everything around the intelligence: frontend, backend, data, APIs, infrastructure, security, integrations, and deployment.

Product Judgment — Understand what actually needs to be built and rapidly turn it into something users can use.

A typical week might involve designing an agent workflow, writing FastAPI services, building a React interface, creating a retrieval pipeline, connecting enterprise data, deploying to Kubernetes, implementing evaluations, and debugging real-world behavior.

You should not need five different teams to turn an idea into a working product. You should be able to build.

Why This Role

• Build entire products, not isolated models or prototypes.
• Own the full stack: AI, backend, frontend, data, infrastructure, and deployment.
• Ship quickly: move from idea to working software in weeks.
• Work across modern AI: LLMs, agents, RAG, ML, computer vision, optimization, and enterprise data.
• Solve real-world problems: build software used in complex operational environments.
• See your work in production: own the path from first commit to real users.
• Compensation is flexible for exceptional candidates. 

Given the qualifications and requirements you've shared (Ph.D. completion and a minimum of 2 years of experience) in the fields of Computer Science and Engineering (CSE), Information Technology (IT), and Electronics and Communication Engineering (ECE), here is a more tailored look at the specific expectations and skills an Associate Professor should bring to a department in such a technical field, along with the contextual setting of your mentioned location, KGiSL Campus in Saravanampatti, Coimbatore.

Eligibility:

• Complete the Master Degree In Relevant Field
• Candidates Clear the Any One Of UGC NET/SET
• Must Have a Ph.D Completion In Related Department

1. Academic Qualifications

• Ph.D. in Relevant Field: Candidates must have a Ph.D. in Computer Science, IT, or a closely related field. The Ph.D. should reflect deep expertise in a specific sub-area of the discipline.
• Publications: A strong record of publications in peer-reviewed journals and conferences, particularly in top-tier venues related to CSE, IT.
• Research Experience: Proven track record of independent and collaborative research projects, including contributions to advancements in areas such as machine learning, AI, data science, cybersecurity, embedded systems, etc.
• Teaching Experience: At least 2 years of experience in teaching and mentoring students, ideally at the university or college level, in courses related to CSE, IT.

2. Technical Skills

• Subject Expertise:
• CSE: Knowledge in areas such as Algorithms, Software Engineering, Data Structures, Cloud Computing, Artificial Intelligence (AI), Machine Learning (ML), Big Data, Database Systems, and Networking.
• IT: Familiarity with Programming Languages (Python, Java, C/C++, etc.), Web Development, Mobile App Development, Cloud Technologies, IT Infrastructure, Cybersecurity, and Network Security.

We are hiring a Automation QA Tester for our travel Domain client to ensure the quality and reliability of our web and mobile travel applications.

The role involves creating and executing test cases, identifying bugs, and collaborating with developers to ensure seamless user experience.

Candidates should have 2–4 years of experience in Automation mobile Testing, strong understanding of SDLC/STLC, and good attention to detail.

Experience in testing booking/payment flows or travel domain applications will be an added advantage.

Experience: 8-12 years

Location: Bangalore

Wissen Technology is now hiring for a Senior Java Developer - Bangalore with hands-on experience in Core Java, algorithms, data structures, multithreading and SQL. We are solving complex technical problems in the industry and need talented software engineers to join our mission and be a part of a global software development team. A brilliant opportunity to become a part of a highly motivated and expert team which has made a mark as a high-end technical consulting. 

Required Skills:

• Exp. - 8-12 years
• Experience in Core Java and Spring Boot.
• Extensive experience in developing enterprise-scale applications and systems. Should possess good architectural knowledge and be aware of enterprise application design patterns.
• Should have the ability to analyze, design, develop and test complex, low-latency client- facing applications.
• Good development experience with RDBMS.
• Good knowledge of multi-threading and high-performance server-side development.
• Basic working knowledge of Unix/Linux.
• Excellent problem solving and coding skills.
• Strong interpersonal, communication and analytical skills.
• Should have the ability to express their design ideas and thoughts.

About Us:

At Wissen Technology, we deliver niche, custom-built products that solve complex business challenges across industries worldwide.

Founded in 2015, our core philosophy is built around a strong product engineering mindset—ensuring every solution is architected and delivered right the first time. Our commitment to excellence translates into delivering 2X impact compared to traditional service providers. How do we achieve this? Through a combination of deep domain knowledge, cutting-edge technology expertise, and a relentless focus on quality. 

We don’t just meet expectations—we exceed them by ensuring faster time-to-market, reduced rework, and greater alignment with client objectives. We have a proven track record of building mission-critical systems across industries, including financial services, healthcare, retail, manufacturing, and more. 

Wissen stands apart through its unique delivery models. Our outcome-based projects ensure predictable costs and timelines, while our agile pods provide clients the flexibility to adapt to their evolving business needs. Whether it’s AI/ML for unstructured data processing, cloud enablement, or data engineering, Wissen leverages its thought leadership and technology prowess to drive superior business outcomes. Our success is powered by top-tier talent. Our proprietary Interview Ninja platform ensures we hire the best, building high-performing teams that deliver unmatched results. 

Today, Wissen Technology has a global footprint with 2200+ employees across offices in the US, UK, UAE, India, and Australia. Our mission is clear: to be the partner of choice for building world-class custom products that deliver exceptional impact—the first time, every time.

Website : www.wissen.com 

Job Role:

As a senior R&D Java Engineer, you will work in a highly collaborative, dynamic environment. Your work will impact a lot to make world bit safer place. You’ll design creative solutions to problems faced by companies due to cyber attacks. You will work closely with other partners such as product and pre-sales managers, UI developers, and other software engineers to develop new product offerings and improve the efficiency of the solution.

Responsibilities:

• Develop, modify, and implement, the software components of Nimesa Product.
• Assist QA Engineers with the creation and review of the test cases
• Write junits and test automation if anything required to have the coverage
• Assist other Engineers with the creation of detailed software design specifications.
• Keep an eye out for technology trends, and open-source projects that can be used.

Requirements:

• Bachelor's or Master's degree in computer science or relevant fields.
• At least 3+ years experience in end-end software development for large design and coordinating project teams in the SaaS industry.
• Software development experience with Java and Spring / Springboot, RabbitMQ, MYSQL etc
• Must have worked on fairly complex products from scratch
• Strong knowledge of data structure, multithreading and other comp science concepts (SQL or NoSQL)
• Excellent social and communication skills
• Demonstrated expertise in building Web Applications, Enterprise Applications, Web Services, and Management at scale is a requirement.
• Experience with Design patterns
• Knowledge of cloud-based architectures, deployment and operational aspects of Amazon Web Services cloud

Job Description

Job Description

Payroll Lead - APAC EMEA and North America Region JD:

Experience: 4-6 yrs of Exp.

Shift : 4 pm to 1 am

Oversee the payroll operations in EMEA & APAC and North America (Exp in Countries - Germany, France, UK and Spain)

Provide direct support and governance to third party payroll vendor. Implement, direct, and maintain procedures to ensure accurate and timely processing of payroll outside the U.S., in conjuncture with HR.

Work with Legal, Finance, Accounting and HR to ensure payroll compliance in all regions. Be the point of contact for day-to-day international payroll operations. Ensure service delivery is accurate, timely and aligned with service level agreements.

Manage the ongoing relationship with the payroll vendor across the regions, coordinating with HR, Finance, Accounting, and local teams where needed. Track and report on the global payroll vendor's performance (i.e., open tickets, SLAs, etc.). Work with the vendor to effectively address employee inquiries.

Act as point of contact regarding the update of international payroll data to

Qualifications

Mandates : 

•Strong history of payroll coordination across multiple international countries including APAC,EMEA and North America

•Experience of working with projects, making process improvements or new vendor implementations would be advantageous.

•Experience managing a third-party payroll vendor.

•Experience of dealing with key stakeholders (HR, IT, Finance)

•Significant progressively responsible experience in a similar role within a fast-paced environment

•Excellent analytical and problem solving with confidence to make decisions and manage escalations

•Must be highly engaging, confident communicator and detail orientated.

•Experience on ADP SPM, ADP workforce and Ceridian Dayforce 

•B. Com / M.Com with 4-6 years relevant experience.

•Strong verbal and written communication skill.

•Team player and ability to work with strict timeline.

•Flexible to work in US shifts.

•Good in Microsoft Office.

•Ability to take ownership of the work.

•Ability to manage the stakeholders independently.

Additional information

Skills

payroll

About Us
Zupee is India’s fastest-growing innovator in real money gaming with a focus on predominant skill-focused games. Started by 2 IIT-Kanpur alumni in 2018, we are backed by marquee global investors such as WestCap Group, Tomales Bay Capital, Matrix Partners, Falcon Edge, Orios Ventures and Smile Group.

Know more about our recent funding: https://bit.ly/3AHmSL3
Our focus has been on innovating in the board, strategy and casual games sub-genres. We innovate to ensure our games provide an intersection between skill and entertainment, enabling
our users to earn while they play. We are at the cusp of scaling rapidly; we’ve only just begun!

Department: Customer Experience

Role: Customer Experience Executive
Location: We are location agnostic & operating in a hybrid model
Core Responsibilities

•  Resolve customers’ queries and issues through voice, email, social, social media channels following the defined process in specified timelines.
• Able to take Inbound calls/make Outbound calls for resolving real-time Customer queries, Customer retention, and offering certain marketing offers, etc.
• Meet the average response time along with productivity while ensuring you follow all quality parameters, SLA with 100% Customer satisfaction.
• To ensure all the customer queries/issues are being resolved on priority with clarity and promptness.

What are we looking for?

• Willing to work in rotational shifts and weeks off (24*7 environment). Initially, it will be 6 days (but will be changed to 5 days a week later).
• Must be proficient with Hindi, English & speaking another language will be an added advantage (Bengali, Gujarati, Kannada, Marathi).
• Should have a minimum of 1-3 years of work experience as a CX executive preferably in E-commerce, Consumer Tech, Hospitality, ITES, Gaming domain.
• Should have managed - Emails/Calls/Chat/Social Media queries.
• Ability to multi-task, and must have excellent communication skills.

Pre-assessment Test Link:- https://test.gclocked.com/?form=-Mo8QM9iPn3ELW56h6PQ" target="_blank">https://test.gclocked.com/?form=-Mo8QM9iPn3ELW56h6PQ