
Hi Kirti,
Job Title: Data Analytics Engineer
Experience: 3 to 6 years
Location: Gurgaon (Hybrid)
Employment Type: Full-time
Job Description:
We are seeking a highly skilled Data Analytics Engineer with expertise in Qlik Replicate, Qlik Compose, and Data Warehousing to build and maintain robust data pipelines. The ideal candidate will have hands-on experience with Change Data Capture (CDC) pipelines from various sources, an understanding of Bronze, Silver, and Gold data layers, SQL querying for data warehouses like Amazon Redshift, and experience with Data Lakes using S3. A foundational understanding of Apache Parquet and Python is also desirable.
Key Responsibilities:
1. Data Pipeline Development & Maintenance
- Design, develop, and maintain ETL/ELT pipelines using Qlik Replicate and Qlik Compose.
- Ensure seamless data replication and transformation across multiple systems.
- Implement and optimize CDC-based data pipelines from various source systems.
2. Data Layering & Warehouse Management
- Implement Bronze, Silver, and Gold layer architectures to optimize data workflows.
- Design and manage data pipelines for structured and unstructured data.
- Ensure data integrity and quality within Redshift and other analytical data stores.
3. Database Management & SQL Development
- Write, optimize, and troubleshoot complex SQL queries for data warehouses like Redshift.
- Design and implement data models that support business intelligence and analytics use cases.
4. Data Lakes & Storage Optimization
- Work with AWS S3-based Data Lakes to store and manage large-scale datasets.
- Optimize data ingestion and retrieval using Apache Parquet.
5. Data Integration & Automation
- Integrate diverse data sources into a centralized analytics platform.
- Automate workflows to improve efficiency and reduce manual effort.
- Leverage Python for scripting, automation, and data manipulation where necessary.
6. Performance Optimization & Monitoring
- Monitor data pipelines for failures and implement recovery strategies.
- Optimize data flows for better performance, scalability, and cost-effectiveness.
- Troubleshoot and resolve ETL and data replication issues proactively.
Technical Expertise Required:
- 3 to 6 years of experience in Data Engineering, ETL Development, or related roles.
- Hands-on experience with Qlik Replicate & Qlik Compose for data integration.
- Strong SQL expertise, with experience in writing and optimizing queries for Redshift.
- Experience working with Bronze, Silver, and Gold layer architectures.
- Knowledge of Change Data Capture (CDC) pipelines from multiple sources.
- Experience working with AWS S3 Data Lakes.
- Experience working with Apache Parquet for data storage optimization.
- Basic understanding of Python for automation and data processing.
- Experience in cloud-based data architectures (AWS, Azure, GCP) is a plus.
- Strong analytical and problem-solving skills.
- Ability to work in a fast-paced, agile environment.
Preferred Qualifications:
- Experience in performance tuning and cost optimization in Redshift.
- Familiarity with big data technologies such as Spark or Hadoop.
- Understanding of data governance and security best practices.
- Exposure to data visualization tools such as Qlik Sense, Tableau, or Power BI.

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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).
- Job Title:- Marketing Executive
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- Basic work territory:- Kutch
- Marketing industrial plastics piping systems.
DATA SCIENTIST-MACHINE LEARNING
GormalOne LLP. Mumbai IN
Job Description
GormalOne is a social impact Agri tech enterprise focused on farmer-centric projects. Our vision is to make farming highly profitable for the smallest farmer, thereby ensuring India's “Nutrition security”. Our mission is driven by the use of advanced technology. Our technology will be highly user-friendly, for the majority of farmers, who are digitally naive. We are looking for people, who are keen to use their skills to transform farmers' lives. You will join a highly energized and competent team that is working on advanced global technologies such as OCR, facial recognition, and AI-led disease prediction amongst others.
GormalOne is looking for a machine learning engineer to join. This collaborative yet dynamic, role is suited for candidates who enjoy the challenge of building, testing, and deploying end-to-end ML pipelines and incorporating ML Ops best practices across different technology stacks supporting a variety of use cases. We seek candidates who are curious not only about furthering their own knowledge of ML Ops best practices through hands-on experience but can simultaneously help uplift the knowledge of their colleagues.
Location: Bangalore
Roles & Responsibilities
- Individual contributor
- Developing and maintaining an end-to-end data science project
- Deploying scalable applications on different platform
- Ability to analyze and enhance the efficiency of existing products
What are we looking for?
- 3 to 5 Years of experience as a Data Scientist
- Skilled in Data Analysis, EDA, Model Building, and Analysis.
- Basic coding skills in Python
- Decent knowledge of Statistics
- Creating pipelines for ETL and ML models.
- Experience in the operationalization of ML models
- Good exposure to Deep Learning, ANN, DNN, CNN, RNN, and LSTM.
- Hands-on experience in Keras, PyTorch or Tensorflow
Basic Qualifications
- Tech/BE in Computer Science or Information Technology
- Certification in AI, ML, or Data Science is preferred.
- Master/Ph.D. in a relevant field is preferred.
Preferred Requirements
- Exp in tools and packages like Tensorflow, MLFlow, Airflow
- Exp in object detection techniques like YOLO
- Exposure to cloud technologies
- Operationalization of ML models
- Good understanding and exposure to MLOps
Kindly note: Salary shall be commensurate with qualifications and experience
Required Qualifications:
∙Bachelor’s degree in computer science, Information Technology, or related field, or equivalent experience.
∙5+ years of experience in a DevOps role, preferably for a SaaS or software company.
∙Expertise in cloud computing platforms (e.g., AWS, Azure, GCP).
∙Proficiency in scripting languages (e.g., Python, Bash, Ruby).
∙Extensive experience with CI/CD tools (e.g., Jenkins, GitLab CI, Travis CI).
∙Extensive experience with NGINX and similar web servers.
∙Strong knowledge of containerization and orchestration technologies (e.g., Docker, Kubernetes).
∙Familiarity with infrastructure-as-code tools (e.g. Terraform, CloudFormation).
∙Ability to work on-call as needed and respond to emergencies in a timely manner.
∙Experience with high transactional e-commerce platforms.
Preferred Qualifications:
∙Certifications in cloud computing or DevOps are a plus (e.g., AWS Certified DevOps Engineer,
Azure DevOps Engineer Expert).
∙Experience in a high availability, 24x7x365 environment.
∙Strong collaboration, communication, and interpersonal skills.
∙Ability to work independently and as part of a team.
- 3+ year of experience in Development in JAVA technology.
- Strong Java Basics
- SpringBoot or Spring MVC
- Hands on experience on Relationl Databases (SQL query or Hibernate) + Mongo (JSON parsing)
- Proficient in REST API development
- Messaging Queue (RabitMQ or Kafka)
- Microservices
- Any Caching Mechanism
- Good at problem solving
Good to Have Skills:
- 3+ years of experience in using Java/J2EE tech stacks
- Good understanding of data structures and algorithms.
- Excellent analytical and problem solving skills.
- Ability to work in a fast paced internet start-up environment.
- Experience in technical mentorship/coaching is highly desirable.
- Understanding of AI/ML algorithms is a plus.
- Job Title - Sr UX / UI Web Designer
- Location - Sector 5, Salt Lake
- Shift Timing - 2:15 PM to 11:30 PM
- Week Off- Every Sunday and Alternate Saturday
- Half Day - Saturday
Job Overview:
Gathering user requirements, designing graphic elements, and building navigation components. To be successful in this role, you should have experience with graphics design software and wireframe tools. If you have a portfolio of professional design projects that includes work with web/mobile applications, we’d like to meet up! Ultimately, you’ll create both functional and appealing features that address our clients’ needs and which in turn help us grow our customer base.
Technical Skills Preferred:
- Coding - HTML, CSS, JavaScript, jQuery, Dreamweaver
- Design and graphics - InDesign, Illustrator, Photoshop, Flash
- Content management system (CMS) - WordPress, Adobe Business Catalyst, Drupal, Joomla, Extron, Zopf.(good to have)
Job Responsibilities:
- Illustrate design ideas, PDFs, PPTs, Other documents using storyboards, process flows and competition trends.
- Gather and evaluate requirements in collaboration with our WEB & MARKETING Manager & of course Directors.
- Design graphic user interface elements of all kinds.
- Build page navigation buttons and search fields.
- Develop UI mock-ups and prototypes that clearly illustrate how sites function and look like
- Create original graphic designs (e.g., images, sketches, and tables)
- Prepare and present rough drafts to internal teams and key stakeholders.
- Identify and troubleshoot UX problems (e.g., responsiveness)
- Conduct layout adjustments based on user feedback.
- Adhere to UK Technology competition examples as standards on fonts, colors and image.
Job Requirements:
- Portfolio of design projects we can lay visuals on
- Proven work experience as a UI/UX Designer or a similar web/graphics design role for minimum 12- months.
- Knowledge of wireframe tools (e.g., Wireframe.cc and InVision)
- Up-to-date knowledge of relevant graphics design software like Adobe Illustrator and Photoshop
- Team spirit: strong communication & creative skills to collaborate with various stakeholders.
- BSc in Design, Computer Science, or relevant field though not a must.
- Minimum 36-months of verifiable experience, with the right mindset is a must.
Interested candidates are requested to apply online
Thanks!
Team HR
Salescom Services
- Experience in onsite functional or technical roles on at least four full-lifecycle CPQ projects, with strong implementation expertise in at least two of the following technologies: Conga CPQ and CLM, Salesforce CPQ & billing, Vlocity CPQ
- Two+ years consulting and/or Lead to- Cash (CPQ/ CLM) implementation experience. Experience managing at least two large-scale full-life cycle implementations of Lead to Cash (CPQ/ CLM) solutions, including ownership of the technical solution, management of the overall team and ownership and management of project financials.
- Deep Understanding of the Lead-To-Cash business process and supporting technologies
- Experience defining systems strategy, road-map, developing process flow diagrams, developing systems requirements, designing and prototyping, testing, training, defining support procedures, and implementing practical business solutions.
- Experience supporting pursuit teams.
- Desire to learn additional in-demand CPQ/CLM platforms
- Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve
- Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
Preferred Qualifications:
- A Bachelor’s degree
- Salesforce or Conga CPQ certified
- Ability to work independently and manage multiple task assignments
- Strong oral and written communication skills, including presentation skills (MS Visio, MS PowerPoint)
- Strong problem solving and troubleshooting skills with the ability to exercise mature judgment
- An advanced degree in the area of specialization
- Experience implementing other CRM platforms (SAP CRM, Oracle, Salesforce.com, Microsoft Dynamics, etc.) or CPQ/CLM technologies (Oracle, Salesforce, Conga, , etc.)
- Proficient in all phases of the Application Development Lifecycle
- Strong technical project management and/or leadership skills
quality delivery
● Estimate engineering effort during multiple stages of the product life cycle
● Coach engineering teams in accomplishing architecture, design and implementation
goals Focus on details of software development, design, implementation and
debugging
● Have high technical competence, strong technical background with track record of
individual technical accomplishments
● Ability to play the role of the architect for the team
● Strong sense of ownership/ can do attitude and high attention to detail
● Work with designers, business analysts, and product managers to estimate and
plan projects in an Agile environment
Skills & Experience:
● Hands-on experience in developing, designing & scaling complex
systems Backend: Primarily Node.js and Python
● Databases: Elastic search, DynamoDB, MongoDB, MySQL and Redis
(cache) Web: React, Vue
● Strong Experience in REST API based Microservices development & integration that
includes long running orchestration services
● Preferred AWS Services experience across - S3, DynamoDB, EC2, AWS Lambda, ECS,
ElasticSearch Service, Route 53, API Gateway, CloudFront, CloudFormation, etc.
● Experience with continuous integration and deployment automation tools such as
Jenkins, Salt, Puppet, Chef, Ansible, Travis CI etc
● Experience with gRPC protocol and graphQL frameworks
● The ideal candidate should be willing to commit fully to the company and drive the
company forward
Greetings!!
We are hiring for TAM ( Technical Account Manager) and please find the below details :
CADeploy Engineering Pvt.Ltd (http://www.cadeploy.com/"> www.cadeploy.com ) To give a brief introduction about my Company, we are an emerging MNC Engineering firm with a footprint, serving mid-market and large Organizations in the USA,CANADA,Europe and UK. We provide Mechanical, Civil, Architectural and Structural Engineering solutions in Building Construction, Industrial, Infrastructure, Automotive and Aerospace sectors.
Visit our website http://www.cadeploy.com/">www.cadeploy.com for further details
Job Location : Hyderabad
Shift : Fixed Night Shift
Job Overview
The TAM manages an assigned client base, both engaged and prospective, by acting as a technical and consultative resource that coordinates with other departments within CADeploy to facilitate client needs. The TAM ensures the highest level of client satisfaction through identification of specific requirements, transcribing these into clear communication and follow-through on commitments. The general purpose is to maintain healthy relationships and project performance through continual pulse monitoring with the client. This will include checks on service delivery performance, recognition of special requirements, flagging of risk perceptions, etc. The objective is to build and maintain a strong working affiliation for continuity of account while guiding the technical and managerial execution for efficiency and effectiveness. This role is essential to the growth plan of CADeploy as a foundation to its brand recognition for quality performance.
Responsibilities and Duties
The TAM will be expected to generally execute on the following across an assigned client base:
- Serve as an important point of contact for key clients as well as all internal stakeholders.
- Develop and nurture strong client relationships through top level customer service.
- Know and document client requirements and concerns, understand the details of their business processes and ensure that CADeploy will appropriately meet their evolving needs.
- Provide excellent, regular client communications and responsive, consistent follow-through on all issues and actions.
- Coordinate and assist with the roll-out of CADeploy’s services offering to new clients as required.
- Drive strategic planning and development of improvements and work.
- Handle client requests and assist in the development of quotations/proposals ensuring that CADeploy’s standards are enforced uniformly.
- Facilitate internal project hand-offs to verify that the work performed is complete and meets the client’s, as well as, CADeploy’s standards.
- Provide customized, end-user (staff) communications for all new clients engaged, ensuring a seamless and successful deployment of CADeploy’s services to their specific standards.
- Act as an escalation point for technical and client service issues as necessary.
- Work with the PMO and delivery team to direct troubleshooting efforts on escalated issues as needed.
Regards,
Bhavani









