
I am Hiring a Salesforce developer for Reputed Organization
SFDC Developer and Tableau CRM Resource: Experience 4-6 years
Notice Period :- Immediate -30days
Location :- Mumbai
Roles & Responsibilities:
• Ability to work as a member of a team assigned to design and implement solutions.
• Data analysis - skills to conduct analysis and deliver recommendations to the team and customer.
• Dashboard and Dataset development - develop dashboards and datasets that meet and exceed customer requirements.
• Presentation skills - demonstrated ability to simplify complex situations and ideas and distil them into compelling and effective written and oral presentations.
• Learn quickly - the ability to understand and rapidly comprehend new areas, functional and technical, and apply detailed and critical thinking to customer solutions.
• Experience in vendor and/or project management
• Strong problem solving capabilities to participate in complex strategic initiatives
Skills Experience:
• Hands-on experience working with Tableau CRM,Force.com using Apex, triggers, Visualforce and LWC.
• Experience in documenting data flows and mapping
• Experience of preparing / transforming the data using custom SQL
• Ability to understand the best way of visualizing complex datasets
• Previous experience using Einstein Discovery is a plus.
• Must have strong communication and collaboration skills

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Job Description – AI Tech Lead
Location: Bangaluru
Experience: 10+ Years
Function: AI Center of Excellence (CoE)
Reporting To: Senior Vice President – CX / Head of AI CoE
We are seeking two highly experienced AI Tech Leads (AVP/DGM level) to drive the architecture, development, and delivery of large‑scale AI solutions spanning Predictive AI, GenAI, and Agentic AI across BPM, IT Services, Digital, Data Engineering, and Enterprise Transformation programs.
The role demands strong technical leadership, solution design capabilities, hands‑on execution ownership, and the ability to lead multi‑disciplinary teams to deliver scalable, production‑grade AI systems.
2. Key Responsibilities
A. Solution Architecture & Strategy
- Lead end‑to‑end solution architecture across Predictive AI, GenAI, Agentic AI, and enterprise data ecosystems.
- Partner with business and technology teams to define AI strategy, technical roadmaps, and implementation frameworks.
- Translate business goals into scalable AI architectures leveraging microservices, distributed systems, and modern AI toolchains.
- Own architectural decisions on model design, data pipelines, deployment frameworks, MLOps stack, and scaling strategies.
B. Project Delivery & Execution Leadership
- Drive the complete AI project lifecycle: Requirement Analysis → Architecture → Model Development → Engineering → Deployment → Monitoring.
- Lead AI engineering teams in developing production‑grade ML/GenAI/Agentic solutions with high reliability and performance.
- Establish and enforce engineering best practices, coding standards, DevOps/MLOps processes, and quality controls.
- Manage multiple concurrent AI initiatives with strong governance, risk mitigation, and stakeholder communication.
C. Technical Hands-on Expertise
- Architect and build complex AI systems involving:
- Large Language Models (LLMs) & GenAI apps
- Agentic workflows and autonomous task orchestration
- Predictive modeling, forecasting, optimization, and statistical modeling
- Knowledge graphs, vector databases, embeddings
- Data engineering pipelines (ETL/ELT) and cloud-native architectures
- Drive model evaluation, experimentation, benchmarking, A/B testing, and continuous improvements.
D. Team Leadership & Mentoring
- Lead and mentor a team of AI engineers, data scientists, MLOps engineers and developers.
- Build internal capabilities by establishing training, code reviews, reusable accelerators, and technical playbooks.
- Actively collaborate with product managers, data engineering teams, CX strategy teams, and domain SMEs.
E. Stakeholder & Client Management
- Act as a technology partner during client discussions, proposals, RFP responses, and solution demonstrations.
- Communicate complex AI concepts to CXOs, business leaders, and non-technical stakeholders seamlessly.
- Support pre-sales with solutioning, effort estimation, and technical presentations.
3. A. Technical Skills
- Strong proficiency in Python, cloud platforms (Azure/AWS/GCP), and AI frameworks (TensorFlow, PyTorch, LangChain, LlamaIndex).
- Hands-on experience building applications using:
- LLMs, RAG, fine‑tuning, prompt engineering
- Autonomous AI agents & multi-agent systems
- Predictive ML models (Regression, Classification, Clustering, NLP, CV)
- Expertise in microservices architecture, API design, scalable deployments.
- Strong command over SDLC, Agile methodologies, CI/CD, DevOps & MLOps.
- Experience with data engineering tools: Spark, Databricks, Airflow, Kafka, SQL/NoSQL, and modern data lakehouse platforms.
B. Functional & Domain Skills
- Experience working in BPM, Customer Experience, Digital Transformation, IT Services.
- Ability to map AI use cases to business value: workflow optimization, automation, customer experience, operations, and analytics.
C. Leadership & Soft Skills
- Strong team leadership and mentoring experience.
- Excellent communication, client-facing abilities, and stakeholder management skills.
- Strong decision-making, problem-solving, and delivery ownership.
4. Qualifications
- Bachelor’s / Master’s in Computer Science, Engineering, Data Science, or related fields.
- 10–15 years total experience with at least 5+ years leading AI/ML projects.
- Demonstrated success delivering large-scale AI programs in enterprise environments.
- Certifications in AI/ML, cloud, or architecture (preferred).
🌟 About EaseMyTrip
EaseMyTrip is a leading online travel platform dedicated to delivering exceptional travel experiences to millions of customers while empowering hotel partners with powerful technology solutions. We are rapidly scaling our products and looking for passionate professionals to join our journey.
📌 Job Summary
We are seeking a passionate and driven Product Manager with mandatory hands-on experience in Inventory systems, and UI/Platform product ownership. The ideal candidate will have a strong background in B2C travel or hospitality tech, and will be responsible for defining product strategy, driving execution, and collaborating closely with cross-functional teams to deliver impactful products.
🎯 Required Qualifications & Mandatory Skills
✅ 3–4 years of product management experience in travel tech, hospitality, OTA, marketplace, or related B2C products.
✅ Mandatory experience working on Inventory systems, including hotel inventory workflows and related processes.
✅ Mandatory experience with Extranet tools/platforms used by partners/hotels to manage content, availability, and settings.
✅ Mandatory experience owning Platform & UI features, including defining user-centric interfaces and platform components.
✅ Proven track record of defining product requirements and driving feature execution with cross-functional teams.
✅ Excellent analytical, communication, and stakeholder management skills.
✅ Experience working in Agile environments and using product analytics tools (data-driven decision making).
✨ Key Responsibilities
🔹 Define and execute product strategy and roadmap for hotel inventory, partner extranet tools, and platform UI features.
🔹 Conduct market and competitive analysis to identify strategic opportunities.
🔹 Translate business goals and user insights into clear product requirements and feature specifications.
🔹 Collaborate with UX/UI designers and engineering teams to deliver high-quality, user-centric solutions.
🔹 Prioritise product backlogs and manage the end-to-end product lifecycle from ideation to launch.
🔹 Leverage data and user feedback to track product performance and inform iterative improvements.
🔹 Engage and partner with internal stakeholders and hotel partners to gather feedback and ensure product alignment.
Position Overview:
We are looking for an experienced Vendor Development Engineer to identify, develop, and
manage supplier relationships to ensure timely procurement of high-quality materials and
components at optimal costs. The role requires technical and commercial expertise to support
manufacturing operations and drive continuous improvement in the supply base.
Key Responsibilities:
• Identify, evaluate, and onboard new vendors, and coordinate with existing vendors to ensure
timely resolution of defective components.
• Develop and maintain strong relationships with suppliers to ensure reliability and quality.
• Negotiate prices, lead times, and supply terms to achieve cost-effective procurement.
• Conduct supplier audits and performance evaluations periodically.
• Coordinate with design, quality, and production teams for technical clarifications.
• Ensure timely availability of materials as per production schedules.
• Monitor vendor performance on quality, delivery, and cost parameters..
Qualifications & Experience:
• Graduate/Diploma in any discipline (preferably in Supply Chain or Materials Management).
• Minimum 5 years of experience in store/inventory management within a manufacturing or
engineering setup.
• Strong knowledge of SAP and MS Excel.
• Good communication, planning, and team management skills.
• Attention to detail and a strong sense of responsibility.
• Strong negotiation skills, with sound knowledge of engineering drawings, manufacturing
processes, and tooling.
Customer Care Executive – Inbound Process | Ahmedabad
Role Overview:
We are hiring a Customer Care Executive to manage inbound calls & emails, resolve client queries, and deliver excellent customer service.
Responsibilities:
- Handle inquiries via calls/emails & provide timely solutions.
- Identify and assess customer needs to ensure satisfaction.
- Maintain accurate documentation & follow communication guidelines.
- Support clients with clarity, professionalism, and problem-solving skills.
Requirements:
- Graduate/Postgraduate (any field except engineering).
- 0–5 years of client servicing experience (Mutual Fund preferred).
- Fluency in English, Hindi & Gujarati with excellent communication.
- Loyal, honest, decision-maker with a long-term vision.
We are looking for a passionate and experienced Business Analyst Trainer to join our training team. This role involves delivering high-quality training programs on business analysis tools, methodologies, and best practices, both in-person and online.
Key Roles And Responsibilities:
- Analyze requirements, functional specifications and create detailed level test cases
- Collaborate with QA Lead to implement effective strategies and test plans
- Ability to identify a set of test cases that will be a good fit for automation and scope out automation coverage for a particular project.
- Be ready to move test cases from manual to automation with pride.
- Contribute to the design and architecture of high-quality, complex systems and software environments focusing on mobile development, automation, and quality aspects
- Execute test cases scripts scenarios on schedule (Functional, Systems Integration, and Regression Testing), and open defects as needed
- Develop build test automation strategy and focus specifically on maximizing reusability for regression
- Design, build and execute automated tests.
- Identify regression testing needs and create and maintain an Automated Regression Suite
- Maintain automated scripts utilizing the existing framework, adhering to coding standards
- Create a weekly plan and weekly reports.
- Follow the Scrum process, participate in Scrum ceremonies and follow the incremental delivery model.
Qualifications:
- Educational background includes a degree (B.E/B.Tech/M.Tech) in Computer Science, Engineering, or a related field.
- Possess 8-12 years of hands-on experience in automation testing, including designing, implementing, and maintaining automated test scripts and frameworks. Demonstrated expertise in ensuring software quality and reliability through comprehensive automated testing processes.
- Capable of writing efficient, maintainable code for automation scripts, and leveraging language-specific libraries and frameworks to enhance testing capabilities.
- Experience working with Appium for mobile application automation testing. Skilled in setting up and configuring automation frameworks, ensuring seamless integration with testing processes for Android and iOS applications.
- Demonstrated ability to design and develop automation frameworks from scratch. Skilled in selecting appropriate tools and technologies, defining framework architecture, and implementing robust, scalable, and maintainable automation solutions tailored to project requirements.
- Must have experience in integrating mobile cloud platforms like Browser stack / Perfecto with automation framework
- Extensive experience in Maven for build automation, Jenkins for CI/CD, and TestNG for automated testing. Proficient in configuring and integrating these tools to streamline development workflows.
- Practical experience with Selenium WebDriver for automated testing of web applications. Skilled in writing, executing, and maintaining test scripts, ensuring cross-browser compatibility.
- Proficient in using JIRA for project management, GIT for version control, and databases for data storage and retrieval. Skilled in managing tasks, tracking progress, and performing database operations.
- Experienced in developing, testing, and deploying applications in both Android and Windows environments. Proficient in utilizing specific tools and frameworks for each platform.
- Strong understanding of API testing tools like SoapUI and Postman. Skilled in creating and executing test cases, validating responses, and ensuring API reliability, performance, and security.
- Familiarity with both android and Windows environments.
- Knowledge of API Testing tools such as SoapUI, Postman.
Required technical skills
- 3+ years of experience as a software developer using GoLang with > 3 years prior experience in an Object Orientated language
- At least 1 year working experience on Linux operating system
Nice to have:
- Experience in the finance industry or knowledge of financial products/markets
- BA/BS in Computer Science or equivalent practical experience
- Java experience
- Experience with multi-tier application architecture and streaming systems
- Message streaming using Kafka
- Knowledge and experience adhering to software development life cycle best practices including test-driven development, unit testing discipline, agile development, and CI/CD strategies
- Working knowledge of building and deploying distributed systems
- Experience with cloud technologies like Kubernetes, Docker, AKS
Responsibilities
-
Building out and manage a young data science vertical within the organization
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Provide technical leadership in the areas of machine learning, analytics, and data sciences
-
Work with the team and create a roadmap to solve the company’s requirements by solving data-mining, analytics, and ML problems by Identifying business problems that could be solved using Data Science and scoping it out end to end.
-
Solve business problems by applying advanced Machine Learning algorithms and complex statistical models on large volumes of data.
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Develop heuristics, algorithms, and models to deanonymize entities on public blockchains
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Data Mining - Extend the organization’s proprietary dataset by introducing new data collection methods and by identifying new data sources.
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Keep track of the latest trends in cryptocurrency usage on open-web and dark-web and develop counter-measures to defeat concealment techniques used by criminal actors.
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Develop in-house algorithms to generate risk scores for blockchain transactions.
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Work with data engineers to implement the results of your work.
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Assemble large, complex data sets that meet functional / non-functional business requirements.
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Build, scale and deploy holistic data science products after successful prototyping.
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Clearly articulate and present recommendations to business partners, and influence future plans based on insights.
Preferred Experience
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>8+ years of relevant experience as a Data Scientist or Analyst. A few years of work experience solving NLP problems or other ML problems is a plus
-
Must have previously managed a team of at least 5 data scientists or analysts or demonstrate that they have prior experience in scaling a data science function from the ground
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Good understanding of python, bash scripting, and basic cloud platform skills (on GCP or AWS)
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Excellent communication skills and analytical skills
What you’ll get
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Work closely with the Founders in helping grow the organization to the next level alongside some of the best and brightest talents around you
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An excellent culture, we encourage collaboration, growth, and learning amongst the team
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Competitive salary and equity
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An autonomous and flexible role where you will be trusted with key tasks.
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An opportunity to have a real impact and be part of a company with purpose.









