Role & Responsibilities
Key responsibilities
1) Product vision & strategy
• Define and articulate the vertical product vision aligned to CIMET's business goals and growth roadmap.
• Own the product lifecycle from ideation and research to launch and post-release optimisation.
• Translate strategy into a focused quarterly bets plan with clear targets.
• Identify opportunities to enhance engagement, conversion, lead quality, and retention — including
through AI-driven personalisation, intelligent pre-filling, and LLM-powered recommendation surfaces.
2) Roadmap execution & agile delivery
• Manage and refine the product backlog, balancing strategic priorities, technical debt, and customer
needs.
• Partner with engineering to ensure crisp scope, acceptance criteria, rollout plans, and predictable
delivery.
• Lead agile ceremonies as needed: planning, stand-ups, reviews, retrospectives.
• Ship iteratively; ensure every release has success metrics and guardrails.
• Define and own the AI feature backlog for your vertical: where LLM integration adds genuine value to the
user journey, what the evaluation criteria are, and what fallback and failure handling looks like.
3) Metrics ownership & experimentation
• Own weekly reporting of funnel performance and drivers: what moved, why, and what we do next.
• Establish a steady cadence of experimentation — A/B tests, rollouts, UX improvements — with
measurable outcomes.
• Ensure measurement hygiene: instrumentation requirements are met and readouts happen on time.
• Define and track AI-specific product metrics: model-assisted conversion rate, AI feature adoption,
recommendation acceptance rate, and LLM output quality signals.
4) Stakeholder management & communication
• Act as the primary link between business leaders, tech teams, and external partners.
• Communicate roadmap, priorities, trade-offs, and performance insights to senior stakeholders.
• Partner across Australia, India, and the Philippines to maintain alignment on goals and delivery
milestones.
• Serve as the voice of the customer and ensure user-centric solutions are embedded in every release.
5) Partner ecosystem collaboration
• Work with Partnerships/Business Owners to shape partner onboarding priorities and improve partner
performance.
• Own product readiness and launch gating: data capture, routing behaviour, UX flows, monitoring.
• Drive partner feedback loops into the roadmap: acceptance/rejection reasons, SLA breakdowns, failure
modes.
6) AI-enabled product development
• Identify where LLM-powered features can meaningfully improve the consumer comparison journey: pre-
filling eligibility data, surfacing contextual recommendations, simplifying complex offer comparisons, or
reducing form friction.
• Write product requirements for AI features with the same rigour as any other feature: input/output
definition, confidence thresholds, fallback behaviour, human-in-loop requirements, and success metrics.
• Collaborate with the AI & Automation SPM and engineering to ship AI features that are production-
grade: instrumented, monitored, and with defined rollback criteria.
• Stay current on how LLM integration is being applied in consumer FinTech, insurance, and comparison
product UX - bring relevant patterns into your vertical proactively.
CIMET Senior Product Manager — Vertical Products
Confidential — For Recruiter Use Only
• Use AI tools actively in your own product practice: research synthesis, PRD drafting, experiment
hypothesis generation, competitive analysis, and data interpretation.
7) Innovation & growth
• Use data, market trends, and customer behaviour to uncover opportunities that increase adoption and
monetisation.
• Partner with UX/UI and Marketing to launch improvements that boost customer experience and
conversion.
• Benchmark performance against competitors and continuously evolve CIMET's comparison experience.
8) Quality & continuous improvement
• Ensure UAT readiness and validate outcomes before broad release.
• Monitor metrics: engagement, NPS where applicable, conversion, and lead quality.
• Collaborate with QA and DevOps to ensure stable, scalable releases and fast incident recovery.
• Maintain a feedback loop that translates insights into actionable roadmap items.
Ideal Candidate
- Strong Senior Product Manager — Vertical Products (Fintech, Growth & Conversion) Profile
- Mandatory(Experience 1)- Must have 6+ years of product management experience with 1+ year of shipping LLM-powered features in consumer-facing product
- Mandatory(Experience 2)- Must have a metric-backed track record improving conversion, revenue yield, engagement, or lead quality in a consumer funnel — owned numbers, a steady experimentation cadence (A/B tests, rollouts, readouts), and comfort with analytics: funnels, cohorts, drivers, causal reasoning, measurement hygiene.
- Mandatory(Experience 3)- Must be fluent with AI — active, habitual use of AI tools (ChatGPT, Claude, Gemini, Perplexity, or equivalent) in daily product practice.
- Mandatory(Stakeholder Mgmt)- Must be able to act as the primary link between business leaders, tech teams, and external partners — communicating roadmap, priorities, trade-offs, and performance readouts to senior stakeholders, and working with distributed teams across time zones (Australia, India, Philippines).
- Mandatory(Product Writing & Agile Delivery)- Must have strong product writing — problem briefs, PRD-lite/user stories, experiment plans, decision logs — and deep working command of Agile frameworks and tools.
- Mandatory(Company)- B2C product in FinTech (InsurTech is highly preferred)
- Preferred(Skill)- Exposure to LangChain, RAG, or prompt engineering in a product context; experience working directly with data science/ML teams on model-backed features; prior AI features in transactional or financial-services consumer UX.
Shubham Vishwakarma
Full Stack Developer - Averlon
About TalentXO
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Review Criteria:
- Strong MLOps profile
- 8+ years of DevOps experience and 4+ years in MLOps / ML pipeline automation and production deployments
- 4+ years hands-on experience in Apache Airflow / MWAA managing workflow orchestration in production
- 4+ years hands-on experience in Apache Spark (EMR / Glue / managed or self-hosted) for distributed computation
- Must have strong hands-on experience across key AWS services including EKS/ECS/Fargate, Lambda, Kinesis, Athena/Redshift, S3, and CloudWatch
- Must have hands-on Python for pipeline & automation development
- 4+ years of experience in AWS cloud, with recent companies
- (Company) - Product companies preferred; Exception for service company candidates with strong MLOps + AWS depth
Preferred:
- Hands-on in Docker deployments for ML workflows on EKS / ECS
- Experience with ML observability (data drift / model drift / performance monitoring / alerting) using CloudWatch / Grafana / Prometheus / OpenSearch.
- Experience with CI / CD / CT using GitHub Actions / Jenkins.
- Experience with JupyterHub/Notebooks, Linux, scripting, and metadata tracking for ML lifecycle.
- Understanding of ML frameworks (TensorFlow / PyTorch) for deployment scenarios.
Job Specific Criteria:
- CV Attachment is mandatory
- Please provide CTC Breakup (Fixed + Variable)?
- Are you okay for F2F round?
- Have candidate filled the google form?
Role & Responsibilities:
We are looking for a Senior MLOps Engineer with 8+ years of experience building and managing production-grade ML platforms and pipelines. The ideal candidate will have strong expertise across AWS, Airflow/MWAA, Apache Spark, Kubernetes (EKS), and automation of ML lifecycle workflows. You will work closely with data science, data engineering, and platform teams to operationalize and scale ML models in production.
Key Responsibilities:
- Design and manage cloud-native ML platforms supporting training, inference, and model lifecycle automation.
- Build ML/ETL pipelines using Apache Airflow / AWS MWAA and distributed data workflows using Apache Spark (EMR/Glue).
- Containerize and deploy ML workloads using Docker, EKS, ECS/Fargate, and Lambda.
- Develop CI/CT/CD pipelines integrating model validation, automated training, testing, and deployment.
- Implement ML observability: model drift, data drift, performance monitoring, and alerting using CloudWatch, Grafana, Prometheus.
- Ensure data governance, versioning, metadata tracking, reproducibility, and secure data pipelines.
- Collaborate with data scientists to productionize notebooks, experiments, and model deployments.
Ideal Candidate:
- 8+ years in MLOps/DevOps with strong ML pipeline experience.
- Strong hands-on experience with AWS:
- Compute/Orchestration: EKS, ECS, EC2, Lambda
- Data: EMR, Glue, S3, Redshift, RDS, Athena, Kinesis
- Workflow: MWAA/Airflow, Step Functions
- Monitoring: CloudWatch, OpenSearch, Grafana
- Strong Python skills and familiarity with ML frameworks (TensorFlow/PyTorch/Scikit-learn).
- Expertise with Docker, Kubernetes, Git, CI/CD tools (GitHub Actions/Jenkins).
- Strong Linux, scripting, and troubleshooting skills.
- Experience enabling reproducible ML environments using Jupyter Hub and containerized development workflows.
Education:
- Master’s degree in computer science, Machine Learning, Data Engineering, or related field.
Java
Spring BootRole & Responsibilities
Responsible for ensuring that the architecture and design of the platform remains top-notch with respect to scalability, availability, reliability and maintainability
Act as a key technical contributor as well as a hands-on contributing member of the team.
Own end-to-end availability and performance of features, driving rapid product innovation while ensuring a reliable service.
Working closely with the various stakeholders like Program Managers, Product Managers, Reliability and Continuity Engineering(RCE) team, QE team to estimate and execute features/tasks independently.
Maintain and drive tech backlog execution for non-functional requirements of the platform required to keep the platform resilient
Assist in release planning and prioritization based on technical feasibility and engineering constraints
A zeal to continually find new ways to improve architecture, design and ensure timely delivery and high quality.
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Location: Faridabad/Jaipur/Kolkata/Punjab
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(B2B Sales) – Field Visit for meetings
Salary Range: 3 LPA
Working Days: 5.5 days working (First 2 Saturdays and all Sundays are off)
Job Type: Full Time Requirement: Bike and Laptop
Role Description:
We are looking for a Key Sales Manager to join our team at iTech Ecommerce Pvt. Ltd. This is a full time, on-field sales role. The ideal candidate will be responsible for managing and nurturing B2B leads, as well as acquiring new clients to drive business growth.
Key Responsibilities:
- Identify, generate, and manage new B2B leads Build and maintain strong client relationships
- Conduct meetings and presentations with prospective clients
- Working efficiently on CRM
Eligibility Criteria:
- Collaborate with internal teams to ensure client satisfaction and account growth
- Meet and exceed sales targets
- Prior experience in the sales process, B2B preferred.
- Excellent lead generation, communication, and negotiation skills
- Strong interpersonal and relationship-building abilities
- Smart worker who can figure out the challenges to convert lead.
- Self-motivated person
Note: Only male candidates are preferred for this role as of now, two wheeler and a laptop (in working condition) are mandatory.
Machine Learning (ML)
Data Science
PythonAbout UpSolve
Work on cutting-edge tech stack. Build innovative solutions. Computer Vision, NLP, Video Analytics and IOT.
Job Role
- Ideate use cases to include recent tech releases.
- Discuss business plans and assist teams in aligning with dynamic KPIs.
- Design solution architecture from input to infrastructure and services used to data store.
Job Requirements
- Working knowledge about Azure Cognitive Services.
- Project Experience in building AI solutions like Chatbots, sentiment analysis, Image Classification, etc.
- Quick Learner and Problem Solver.
Job Qualifications
- Work Experience: 2 years +
- Education: Computer Science/IT Engineer
- Location: Mumbai
Job Description
We are seeking an enthusiastic and competent Management Trainee to join our operations team on an immediate basis.
As a Management Trainee, you will be responsible for supporting the day-to-day operational activities in the organization. You will also be responsible for supporting the Chief Operating Officer on daily activities by coordinating with different teams, Managers & leads by performing operational duties.
Roles & Responsibilities
- Coordinating with the COO on operational activities.
- Participating in meetings & keep track of records by preparing agendas & minutes of meeting on daily basis.
- Understanding the company’s policies and protocols.
- Performing Business operational duties.
- Working with different Team Managers & Leads in understanding the process flow.
- Implementing new policies along with the Team Manager to enhance the process.
- Providing support to various departments of the organization.
- Maintaining a positive working environment for the employees at a high level.
- Complying with the company’s rules and regulations.
- Possess a sense of urgency to manage and prioritize multiple requirements
- Be self-managed, responsive, and dedicated to supporting clients and candidates.
- Nurture a positive working environment
- Report to management on different team statuses.
What we are looking for
- At least 0 to 2 years of related experience in Operations, with product-based or startup, will be a plus. MBA freshers are welcome to apply
- Degree: Any MBA with Supply Chain Management knowledge is a plus.
- Should be people-oriented and results-driven.
- Excellent verbal and written communication skills, with active listening and presentation skills
- Good interpersonal and organizational skills.
- Proficiency in MS Office Tools.
- Strong leadership and analytical skills & should be excellent for time management
- Must be a problem solver & can handle multiple tasks
- Ability to work under minimal supervision.
- Should hold Strong work ethics.
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Machine Learning (ML)Data ScienceJob description
Who we are looking for
· A Natural Language Processing (NLP) expert with strong computer science fundamentals and experience in working with deep learning frameworks. You will be working at the cutting edge of NLP and Machine Learning.
Roles and Responsibilities
· Work as part of a distributed team to research, build and deploy Machine Learning models for NLP.
· Mentor and coach other team members
· Evaluate the performance of NLP models and ideate on how they can be improved
· Support internal and external NLP-facing APIs
· Keep up to date on current research around NLP, Machine Learning and Deep Learning
Mandatory Requirements
· Any graduation with at least 2 years of demonstrated experience as a Data Scientist.
Behavioural Skills
· Strong analytical and problem-solving capabilities.
· Proven ability to multi-task and deliver results within tight time frames
· Must have strong verbal and written communication skills
· Strong listening skills and eagerness to learn
· Strong attention to detail and the ability to work efficiently in a team as well as individually
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Hands-on experience with
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· Deep Learning
· Machine Learning
· Python
· Bert
Preferred Requirements
· Experience in Computer Vision is preferred
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2. Helping prospective students with the detailed information about the programs offered
through phone or video counselling & creating a strong pipeline.
3. Ensure to meet daily deliverables & achieve weekly/monthly enrolment target.
4. Help them understand the importance of navigating a career.
5. Must be a good listener and be trained in matching candidate needs to a future career.
Salary: Our salaries commensurate with prevailing industry standards coupled with lucrative
Incentives.
Qualifications Eligibility & Offerings
Graduate/Post Graduate in any discipline.
Freshers & Experienced (1-3 years) both can apply.
Attractive Incentive Structure
Adobe Illustrator
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To be successful as a visual designer, you should exhibit experience in visual design and the ability to contribute creative expertise to brainstorming sessions. Outstanding visual designers are team players who apply their creativity to varied design requirements.
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Consulting with the project team and determining visual design preferences and expectations.
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2. Enhancing digital images, including the application of contrasts and gradients.
3. Submitting visual design concepts for brainstorming and approval in a timely manner.
4. Meeting with the project team for feedback and editing designs, when required.
5. Collaborating with IT developers in aligning visual designs with website functionalities.
6. Developing prototypes to uniformly integrate logos and brand images to other products and platforms, including social media.
7. Designing high-quality visuals for social media banners, newsletters, emailers, presentations, branding, business cards, and other design collaterals
8. Keeping track of advancements in visual design technologies and applications, as well as industry trends.
Requirements:
1. 2-3 years of experience as a visual designer, or similar.
2. A complete portfolio of visual design examples.
3. Advanced proficiency in visual design software, such as Adobe Creative Suite's Photoshop, Illustrator, Figma, Sketch, and Xd
4. Exceptional creative abilities as reflected in original visual designs.
5. Extensive experience in determining visual design preferences and meeting deadlines.
6. Exceptional ability to collaborate on visual design projects and integrate feedback.
7. Proficiency in keeping up with visual design technologies and industry trends.
8. Excellent communication skills.
React.js
Redux/Flux
NextJs (Next.js)Job Description:
1. Developing the latest user-facing features using React.js.
2. Translate designs and wireframes into high-quality and responsive screens.
3. Building reusable components and front-end libraries for future use.
4. Learn and understand user interactions & Translate designs and wireframes
into high-quality code.
5. Optimizing components for maximum performance across a vast array of web-capable devices and browsers.
6. Creating servers and databases for functionality and coordinating with various
teams working on distinct layers.
7. As a MERN Stack Developer, you will be involved from conception to
completion with projects that are technologically sound and aesthetically
impressive.
Skill Requirements:
1. Full-stack experience designing and building scalable applications end-to-end.
2. Excellent JavaScript skills and strong proficiency in React.
3. Familiarity with the MERN stacks (Mongo DB, Express.JS, React.JS, and Node.JS)
and Working experience with React, Redux, ES6.
4. Experience building backend APIs using Node JS and Express JS.
5. Experience with NoSQL databases such as Mongo DB, mongoose, aggregation
framework, and Redis.
6. Experience with Web sockets and related frameworks (e.g. Socket.IO) and
Knowledge of JSON Web Token.
7. Experience using RESTful APIs and basic Authentication Mechanisms.
8. Create and Maintain Microservices & Ability Showcase past work via live web
pages and familiarity with code versioning tool Git
.NET
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon