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We’re seeking a detail-oriented Data Analyst with proven experience in corporate settings to transform raw data into actionable insights. You’ll collaborate across departments to support strategic decision-making, optimize operations, and enhance business performance through data-driven analysis.
Your Responsibilities
what you will wake up to solve.
- Process-First AI Strategy: Principal Technical Expert: Act as a hands-on leader and the core technical authority tasked with "futurifying" client businesses through advanced AI. Take full ownership of the AI Engineering squad, transforming ambitious concepts into high-impact, tangible realities.
- Engineering & Intelligent Deployment: Execute the full-lifecycle development of innovative AI/ML solutions, including hands-on design, coding, testing, and deployment of robust, scalable systems that prioritize technical excellence and business relevance.
- Scalability & Architectural Optimization: Directly build and optimize high-performance AI architectures and core system components to ensure solutions are reliable, production-ready, and optimized for long-term operational success.
- Impact-Driven Technical Expertise: Deliver intelligent client outcomes through direct technical contribution, maintaining an "Always Beta" mindset and a relentless focus on solving complex engineering challenges.
- Leadership through Action: Lead by example rather than control, coaching and mentoring a high-performing squad of "happier Do-ers" to foster a vibrant culture of continuous innovation and technical excellence.
- Strategic Integration & Collaboration: Partner across internal teams to translate chaotic business challenges into precise technical requirements, ensuring seamless solution integration and adoption for global clients.
- The "Agentic" Shift: You will lead the transition from simple predictive models to Agentic Workflows. You will build systems where AI agents can plan, reason, and execute complex tasks autonomously to solve intricate business problems.
- Talent & Culture: You will mentor a high-performance squad of AI Engineers and Data Scientists. You will teach them to look beyond the algorithm and understand the business outcome.
Functional Skills
Scaling Intelligent Workforce through Delivery Excellence
- Deep Technical Acumen: Operates at the cutting edge of AI, applying advanced technical knowledge to engineer and implement groundbreaking solutions, and guide the squad in developing future capabilities.
- Client Advocacy & Revenue Growth: Skill in cultivating and maintaining trusted client partnerships. Drives strategic engagement that results in repeat business and expanded client portfolios within the region.
- Contract & Risk Governance: High proficiency in reviewing and managing complex project agreements (SoW), mitigating delivery risks, and navigating commercial negotiations to safeguard BU profitability.
- Structured Problem-Solving: Simplifies chaotic technical challenges for the squad by breaking them into solvable chunks using first-principles thinking.
- Squad Delivery Ownership: Follows through on the squad's solution execution—owning technical outcomes from ideation to deployment with rigor, precision, and pride, ensuring tangible, real-world business value.
Technical Oversight & Execution Charter
- Technical Troubleshooting & Crisis Resolution: Actively manages technical roadblocks within the squad, personally intervening to troubleshoot ML or MLOps constraints. You ensure the protection of sprint timelines and the guaranteed performance of deployed models through hands-on problem-solving.
- Cloud-Native Technical Command: Maintains deep, functional knowledge of modern AI system design (e.g., RAG Frameworks, Agentic Workflows, and Inference Optimization) across GCP and AWS. You hold the responsibility to validate squad-level technical roadmaps, ensuring they are technically feasible and production-hardened.
- End-to-End Project Management: Expertly manage all aspects of a project, including scope, budget, timelines, and stakeholder communication. Accountable for the entire delivery, not just the technical parts.
- Talent Strategy & Mentorship: Drive the hiring and development of specialized talent. You will be responsible for defining and optimizing effective team structures while proactively fostering an environment that champions creative problem-solving and technical agility.
Tech Superpowers
- Deep AI Engineering Mastery & Guidance: Possesses profound, hands-on expertise in engineering, optimizing, and deploying foundational models, custom AI solutions, and complex multi-modal systems. You'll also guide your squad in understanding model architectures, training methodologies, and ethical AI development from the ground up, ensuring their collective proficiency.
- Intelligent Systems Architecture & Oversight: You'll directly contribute to and oversee the coding and implementation of robust, scalable, and production-grade AI platforms and MLOps components for your squad's projects. You'll translate abstract technical requirements into high-performance, maintainable AI system designs, always considering reliability, security, and future extensibility across the squad's work.
- Cloud-Native AI capability: More than cloud-certified, you are deeply cloud-capable in applied AI engineering. You proficiently leverage and guide your team in utilizing leading cloud AI/ML ecosystems to build, deploy, and manage AI solutions.
- Technical Integrity & Ethical Governance: Establishes and audits mandatory technical quality benchmarks, ensuring strict adherence to rigorous policies regarding model validation, automated testing coverage, and ethical governance.
Experience & Relevance
- A value-driven AI/ML Engineering Manager with 8+ years of experience in building and scaling end-to-end AI engineering and solution delivery.
- Leadership Track Record: Proven track record as a hands-on builder, and lead, contributing to the design, development, and deployment of complex, enterprise-grade AI/ML platforms and solutions. Expert in leveraging Google Cloud's AI/ML ecosystem (Vertex AI, BigQuery ML, GKE for MLOps) to deliver highly performant, scalable, and impactful AI transformations.
- Delivery & Advisory Record: Experience in building and optimizing intelligent systems and personally driving the technical execution from conception to scalable deployment.
- Applied AI & Domain Expertise: Hands-On AI Deployment: Extensive hands-on experience deploying AI-powered workflows, copilots, and automation solutions in production environments.
- Client-Facing Lead: Demonstrated hands-on experience as an AI/ML Product Manager, Data Science Manager, or Technical Architect in client-facing capacities. This involves directly building, implementing, and advising on complex AI solutions, consistently acting as the trusted technical authority for strategic clients.
Bonus Points (you will thrive if you have)
- Founder’s Energy: Bias for action, thrive in ambiguity, relentless focus on outcomes.
- Low-Code/No-Code Fluency: Experience with AI integrations via Power Platform or similar.
- AI Copilots & Extensions: Built plugins, copilots, or agentic automation frameworks.
- Thought Leadership DNA: Industry content creation, technical blogs, public speaking.
- Ethical Compass: Strong commitment to responsible AI practices.
- Engineer at Heart: Background in product development or engineering before moving into architecture.
Your Responsibilities
what you will wake up to solve.
- Process-First AI Strategy: Principal Technical Expert: Act as a hands-on leader and the core technical authority tasked with "futurifying" client businesses through advanced AI. Take full ownership of the AI Engineering squad, transforming ambitious concepts into high-impact, tangible realities.
- Engineering & Intelligent Deployment: Execute the full-lifecycle development of innovative AI/ML solutions, including hands-on design, coding, testing, and deployment of robust, scalable systems that prioritize technical excellence and business relevance.
- Scalability & Architectural Optimization: Directly build and optimize high-performance AI architectures and core system components to ensure solutions are reliable, production-ready, and optimized for long-term operational success.
- Impact-Driven Technical Expertise: Deliver intelligent client outcomes through direct technical contribution, maintaining an "Always Beta" mindset and a relentless focus on solving complex engineering challenges.
- Leadership through Action: Lead by example rather than control, coaching and mentoring a high-performing squad of "happier Do-ers" to foster a vibrant culture of continuous innovation and technical excellence.
- Strategic Integration & Collaboration: Partner across internal teams to translate chaotic business challenges into precise technical requirements, ensuring seamless solution integration and adoption for global clients.
- The "Agentic" Shift: You will lead the transition from simple predictive models to Agentic Workflows. You will build systems where AI agents can plan, reason, and execute complex tasks autonomously to solve intricate business problems.
- Talent & Culture: You will mentor a high-performance squad of AI Engineers and Data Scientists. You will teach them to look beyond the algorithm and understand the business outcome.
Functional Skills
1. Scaling Intelligent Workforce through Delivery Excellence
- Deep Technical Acumen: Operates at the cutting edge of AI, applying advanced technical knowledge to engineer and implement groundbreaking solutions, and guide the squad in developing future capabilities.
- Client Advocacy & Revenue Growth: Skill in cultivating and maintaining trusted client partnerships. Drives strategic engagement that results in repeat business and expanded client portfolios within the region.
- Contract & Risk Governance: High proficiency in reviewing and managing complex project agreements (SoW), mitigating delivery risks, and navigating commercial negotiations to safeguard BU profitability.
- Structured Problem-Solving: Simplifies chaotic technical challenges for the squad by breaking them into solvable chunks using first-principles thinking.
- Squad Delivery Ownership: Follows through on the squad's solution execution—owning technical outcomes from ideation to deployment with rigor, precision, and pride, ensuring tangible, real-world business value.
2. Technical Oversight & Execution Charter
- Technical Troubleshooting & Crisis Resolution: Actively manages technical roadblocks within the squad, personally intervening to troubleshoot ML or MLOps constraints. You ensure the protection of sprint timelines and the guaranteed performance of deployed models through hands-on problem-solving.
- Cloud-Native Technical Command: Maintains deep, functional knowledge of modern AI system design (e.g., RAG Frameworks, Agentic Workflows, and Inference Optimization) across GCP and AWS. You hold the responsibility to validate squad-level technical roadmaps, ensuring they are technically feasible and production-hardened.
- End-to-End Project Management: Expertly manage all aspects of a project, including scope, budget, timelines, and stakeholder communication. Accountable for the entire delivery, not just the technical parts.
- Talent Strategy & Mentorship: Drive the hiring and development of specialized talent. You will be responsible for defining and optimizing effective team structures while proactively fostering an environment that champions creative problem-solving and technical agility.
Tech Superpowers
- Deep AI Engineering Mastery & Guidance: Possesses profound, hands-on expertise in engineering, optimizing, and deploying foundational models, custom AI solutions, and complex multi-modal systems. You'll also guide your squad in understanding model architectures, training methodologies, and ethical AI development from the ground up, ensuring their collective proficiency.
- Intelligent Systems Architecture & Oversight: You'll directly contribute to and oversee the coding and implementation of robust, scalable, and production-grade AI platforms and MLOps components for your squad's projects. You'll translate abstract technical requirements into high-performance, maintainable AI system designs, always considering reliability, security, and future extensibility across the squad's work.
- Cloud-Native AI capability: More than cloud-certified, you are deeply cloud-capable in applied AI engineering. You proficiently leverage and guide your team in utilizing leading cloud AI/ML ecosystems to build, deploy, and manage AI solutions.
- Technical Integrity & Ethical Governance: Establishes and audits mandatory technical quality benchmarks, ensuring strict adherence to rigorous policies regarding model validation, automated testing coverage, and ethical governance.
Experience & Relevance
- A value-driven AI/ML Engineering Manager with 8+ years of experience in building and scaling end-to-end AI engineering and solution delivery.
- Leadership Track Record: Proven track record as a hands-on builder, and lead, contributing to the design, development, and deployment of complex, enterprise-grade AI/ML platforms and solutions. Expert in leveraging Google Cloud's AI/ML ecosystem (Vertex AI, BigQuery ML, GKE for MLOps) to deliver highly performant, scalable, and impactful AI transformations.
- Delivery & Advisory Record: Experience in building and optimizing intelligent systems and personally driving the technical execution from conception to scalable deployment.
- Applied AI & Domain Expertise: Hands-On AI Deployment: Extensive hands-on experience deploying AI-powered workflows, copilots, and automation solutions in production environments.
- Client-Facing Lead: Demonstrated hands-on experience as an AI/ML Product Manager, Data Science Manager, or Technical Architect in client-facing capacities. This involves directly building, implementing, and advising on complex AI solutions, consistently acting as the trusted technical authority for strategic clients.
Bonus Points (you will thrive if you have)
- Founder’s Energy: Bias for action, thrive in ambiguity, relentless focus on outcomes.
- Low-Code/No-Code Fluency: Experience with AI integrations via Power Platform or similar.
- AI Copilots & Extensions: Built plugins, copilots, or agentic automation frameworks.
- Thought Leadership DNA: Industry content creation, technical blogs, public speaking.
- Ethical Compass: Strong commitment to responsible AI practices.
- Engineer at Heart: Background in product development or engineering before moving into architecture.
Why you’ll love being a ‘Searcian’
NOT your ‘usual’ management consultancy; we ‘solve differently’.
- We are happier. No really happier’: A vibrant, inclusive, and supportive work environment. We even have a dedicated role for ‘Better Living’.
- The Company You Keep (Says Everything): solvers. engineers. tinkerers. improvers. futurists operating across 12 countries.
- No room for CAVEers (Constantly Against Virtually Everything people). Instead, we make room for a meditation room in our offices.
- No bloat: 27 people meeting with 23 clueless people. Not happening here. We also don't do the meetings to plan for pre-meetings.
- No bureaucracy. Zero entropy. Real decision-making velocity: We’re large enough to solve the world’s most complex business challenges, yet small and agile enough to value individual humans. With us, you’re a name, not an employee ID number lost in a sea of 37,000 people where it takes a year just to decide ‘who will decide’.
- Ideas over Hierarchy: We reject HiPPOs (Highest Paid Person’s Opinion). The most well-reasoned ideas win - regardless of whose name is on them. That dangerous phrase, "We’ve always done it this way," dies here.
- Own-the-outcome: The buck stops with you. Doesn’t matter if you are an intern. (Psst: A ‘real intern’ actually drafted this JD.)
- Expert ‘wholesome generalists’, Not ‘one-nut-tighteners’. At Searce, you see the whole picture — how the car is designed, built, and driven — not just how to tighten the third nut on a red 1962 Ford Falcon owned by Vinny’s cousin. Real impact comes from knowing why that nut matters to the person behind the wheel.
- You ‘do stuff’ that matters. Not just “follow up on the deck we shared.”
- Gain more years in your Searce-perience: We operate at a 3.65x experience velocity—yes, we measured it. (and charted it to the scale too)
Join the ‘real solvers’
ready to futurify?
If you are excited by the possibilities of what an AI-native engineering-led, modern tech consultancy can do to futurify businesses, apply here and experience the ‘Art of the possible’. Don’t Just Send a Resume. Send a Statement.
Job Summary:
We are looking for technically skilled and customer-oriented SME Voice – Technical Support Associates to provide voice-based support to enterprise clients. The role involves real-time troubleshooting of complex issues across servers, networks, cloud platforms (Azure), databases, and more. Strong communication and problem-solving skills are essential.
Key Responsibilities:
- Provide technical voice support to B2B (enterprise) customers.
- Troubleshoot and resolve issues related to:
- SQL, DNS, VPN, Server Support (Windows/Linux)
- Networking (TCP/IP, routing, firewalls)
- Cloud Services – especially Microsoft Azure
- Application and system-level issues
- Assist with technical configurations and product usage.
- Accurately document cases and escalate unresolved issues.
- Ensure timely resolution while meeting SLAs and quality standards.
Required Skills & Qualifications:
- 2.5 to 5 years in technical support (voice-based, B2B preferred)
Proficiency in:
- SQL, DNS, VPN, Server Support
- Networking, Microsoft Azure
- Basic understanding of coding/scripting
- Strong troubleshooting and communication skills
- Ability to work in a 24x7 rotational shift environment
We are looking for "Salesforce Developer" for Reputed Client @ Coimbatore Permanent Role.
• Experience: 3-5 Yrs
• Salesforce Developer will work independently and in a team environment to build CRM solutions which integrate with various other systems.
• This Person will build Visual-force, APEX, and Lightning Components. And should have experience working with Salesforce Data.
• Building new (and maintaining existing) APEX, Visual force, and Lightning solutions.
• Participate in various sprint meetings, assist in the creation and upkeep of user stories.
• Communicate with stakeholders and users about changes or requirements.
• Should have 3 to 5 years of experience with Salesforce Sales and Service Clouds.
• Proficiency in Salesforce APEX, Visual force, and Lightning development.
• Knowledge of the Salesforce data structure, and the ability to use various tools for data migrations.
• Salesforce Developer certifications is an added advantage.
• Excellent interpersonal skills, as well as excellent communication skills, verbal and written to both technical and non-technical audiences
• Ability to work independently and as part of a team
• Professional, positive, customer oriented and flexible approach to interactions with customers in groups
Location :Coimbatore
Key Responsibilities:
✅ Develop and maintain strong client relationships
✅ Understand client needs and provide tailored solutions
✅ Act as a point of contact for client inquiries and feedback
✅ Collaborate with internal teams to ensure client success
✅ Drive client engagement and retention strategies
What We’re Looking For:
🔹 Proven experience in client relationship management or a similar role
🔹 Freshers can also apply
🔹 Hindi Speaking is must.
🔹 Excellent communication and interpersonal skills
🔹 Strong problem-solving abilities
🔹 A proactive approach and a passion for client satisfaction
🔹 Ability to work collaboratively in a fast-paced environment
Job description
Strong experience with Laravel Framework
Experience in databases like MySQL
Experience in HTML, JavaScript, CSS, Angular/ReactJS/VUEJS, JQuery, Bootstrap, JSON
Requirement
Minimum 3+ years of Laravel Experience - building database-driven applications
Knowledge of Event Driven Architecture, Microservices, etc
Basic knowledge of Dev-ops - AWS, Github- Familiarity
• Bachelor's degree in computer science, computer engineering, or related field.
• Proficiency with TypeScript, CSS, HTML, and Back-end languages.
• 6+ years’ experience in Node JS, Typescript, NoSQL, RDBMS, AWS Services
• The ability to learn new technologies quickly
• The ability to communicate complex procedures to other colleagues.
Responsibilities
• Understand the high-level product roadmap for the squad and immediate features
to be developed, contributing to high-level estimation and lay-out of the
development sequences. Complete complex development tasks with minimal
guidance
• Constantly and actively contribute to pushing code to production with the objective
of becoming a main contributor. Write testable, efficient, and reusable code suitable
for continuous integration and deployment, that respects best practices and industry
development standards
• Review Unified Modeling Language (UML) diagrams and technical documentation,
ensuring its quality. Enable best practices to help the team achieve their technical
tasks and continually thrive in improving the technology of the product/team.
• Drive the adoption of best practices & regular participation in code reviews, design
reviews, architecture discussions
• Experiment with new and relevant technologies, and tools, and drive innovation &
adoption while measuring yourself on the impact you can create.
• Implementation of long-term technology vision for your team. Responsible for the
complete architecture of your product.
• Creating architecture & designs for new solutions around existing/new
areas u Decide technology & tool choices for your team & be responsible for them.
• Be accountable for code quality with the assistance of a QA Analyst to conduct
adequate testing.
• Review and contribute to technical documentation. Contribute actively to the design
of the solution, challenging other members on technical decisions.
Skills
• Working with other TypeScript developers and software engineers to develop Frontend and back-end architecture that’s well-structured and flexible, along with the
APIs to support it.
• Developing and implementing Back-end architecture to support user interface
concepts. Developing and implementing highly responsive user interface
components using Node concepts.
• Create data visualization tools, libraries, and reusable code for prospects.
• In-depth knowledge of TypeScript, CSS, HTML, and back-end languages.
• Knowledge of Backend service like AWS Services, Microservice, Serverless software.
About CercleX:-
CercleX is a digital technology platform which is a leading https://cerclex.com/blog/waste-management-in-india/">waste management company in India with an extended outlook of circularity through its various ventures into the field of sustainability.
We have received FICCI Impactful Cleantech Startup Award, MeitY Emerging Startup Award, TVS Capital Budding Nxt Gen Entrepreneur Award, and many more for our digital solutions enabling transactions between waste generators, and aggregators, processors, and bringing in complete transparency, traceability to the waste ecosystem.
https://play.google.com/store/apps/details?id=com.scrapmarketCCX">Cercle X ScrapMarket is an app that helps you buy and sell scrap by connecting 100% verified buyers and sellers of scrap across India.CercleX helps brands to accomplish their sustainability targets with https://cerclex.com/extended-producer-responsibility/">Extended Producer responsibility and research solid waste managemet on the environment to ensure the environment is eco free.
Job Description:-
Brand Managers are the people who shape a company’s outward image. To do that, you’ll need to uncover consumer insights and deliver innovative marketing campaigns. We’ll turn to you to learn what can attract our customers and prospects and how we can improve customer experience.
Cerclex is looking for an experienced Brand Manager to help us build our brand and raise brand awareness. You’ll work across all levels and departments of our organization to find what makes us unique and communicate it to the world.Ultimately, you’ll help us improve our company’s reputation and drive growth.
Responsibilities:
- Analyze brand positioning and consumer insights.Stay current on market trends and competitive activity
- Translate brand elements into plans and go-to-market strategies
- Manage a team of marketing people working on brand initiatives
- Lead creative development to motivate the target audience to “take action”
- Establish performance specifications, cost and price parameters, market applications and sales estimates
- Measure and report performance of all marketing campaigns, and assess ROI and KPIs
- Monitor market trends, research consumer markets and competitors’ activities
- Align the company around the brand’s direction, choices and tactics
Requirements:
- Bachelor's degree in Marketing, Business, or related field. MBA preferred.
- 3-5 years of experience in brand management, brand marketing, or marketing management
- Experience managing a brand across multiple markets
- Creative thinker and problem solver
- Strong communication skills
- Project management experience, with a solid understanding of project management principles and techniques
- Past experience of working with startups is preferred
- Metric driven marketing Strategies & Campaigns
- Digital & Social Media Marketing
- Experience in Market Research & Consumer Insights is preferred
- Ability to Advertise & Activate Campaigns
Role Description:
- Lister is actively engaged with client across digital transformation and engineering
- As a part of this engagement, you will be working with our clients on solution design and architecture, technology decisions, while co-ordinating technical efforts for the team
- As a Technical Lead:, You will need to collaborate with Solution Architects define technology
- roadmap, evaluate/recommend technologies, architect and design solutions, Work
- with other developers to oversee the development and implementation
- You will translate functional requirements from business stakeholders to the technical
- team for implementation
- You will need to troubleshoot design flaws and system bottlenecks
- You will have to be hands-on with code reviews and evaluate implementation for performance and scale
- Manage communication between our clients and internal teams in India and USA
- Coordinate with the offshore team to deliver projects across work streams, Identify risks, issues and blockers to progress and mitigate them for the team
- Rapidly gain an understanding of project requirements and drive execution
- Work with delivery team to ensure the highest quality of materials are being produced and all client needs are met.
Skills Required:
- Excellent understanding of backend and frontend components in the following stack: NodeJS, TypeScript, Javascript, ReactJS, multiple RDBMS and NoSQL databases like Postgres, MySQL, MongoDB Experience of working on AWS services (Lambda, Step functions, SQS, S3 SNS)
- Microservice design pattern is a must
- Experience in Docker, Kubernetes, containerization and CI/CD pipelines is preferable
- Experience in software development tools like Prettier, CodeCov, Snyk, etc..
- Excellent verbal and written communication skills; client facing and interpersonal skills; must be a listener, a presenter, and a people-person
- Experience in Designing scalable architecture systems for Node-based applications
- Ability to grasp complex implementations; Proven results of delivering client solutions
- Should have experience of working with offshore team
- Experience in working on large scale technology transformation projects for product companies is preferable
- Technology contributions to open source projects will be an added advantage
- Should have completed Certifications or training on AWS (AWS Solutions Architect), NodeJS, front-end frameworks.
Well Experience in retail and distribution industries
No manufacturing industry experience






