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Strong Lead Data Science, / AI Engineer / Machine Learning Engineer profiles.
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Mandatory (Experience 1) - Must have 10+ years of experience in Data Science, AI/ML or AI Engineering with hands-on experience building production-grade ML systems.
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Mandatory (Experience 2) - Must have hands-on experience building AI/ML solutions for Credit Risk, Fraud Risk Management (FRM), Collections & Recovery, with proven delivery of business-impacting AI/ML solutions.
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Mandatory (Experience 3) - Candidate's Current designation must be Lead or above.
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Mandatory (Experience 4) - Must have strong experience designing and deploying large-scale distributed Machine Learning systems, including model training, fine-tuning, inference, scalable serving, and production deployment.
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Mandatory (Experience 5) - Strong programming experience in Python, along with exposure to Spark, Kafka, Kubernetes, APIs/Microservices, CI/CD, Feature Store, Model Registry, and Distributed Computing.
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Mandatory (Experience 6) - Experience designing and deploying Credit Risk Models, Fraud Detection Models, Graph ML, Early Warning Systems, Portfolio Monitoring, Collections Optimization, Propensity Models, and Recovery Forecasting.
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Mandatory (Experience 7) - Proven experience leading AI/ML teams, owning end-to-end delivery, mentoring engineers, driving cross-functional execution, and managing production AI platforms.
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Mandatory (Experience 8) – Must have experience working under BFSI governance, including PII handling, auditability, model governance, compliance, secure-by-design architecture, approval workflows, and model risk management practices.
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Mandatory ( Education ) - B.TECH / M.TECH from Tier 1 Colleges (IIT's, NIT's, BITS) are Considered
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Mandatory (Age) - Candidate's Age should be below 37 years.
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Mandatory (CTC) – The CTC breakup offered will be 75% fixed + 25% variable, as per company policy.
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Preferred (Experience 1) - Candidates currently working as Lead / Principal / Engineering Manager / Associate Director / Director in reputed Product, FinTech, Banking, NBFC, or Global Capability Centers will be preferred.
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Preferred (Experience 2) - Indian professionals currently working overseas (NRI) who are planning to relocate and permanently settle in India are encouraged to apply.
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Preferred (Experience 4) - Experience building enterprise AI platforms using Graph ML, Vector Databases, LLM-enabled decisioning, distributed training frameworks, and large-scale AI infrastructure.
- Strong UI architecture and design skills and keen business sense.
- Excellent front end/UI skills (JS, HTML, Angular) skills.
- Good knowledge of nodeJS.
- Good knowhow of server-side technologies, exposure to databases.
- Good exposure to configuration management, testing, deployment.
- Deep knowhow of data structures, algorithms.
- Hands on development across technologies.
Strong B2B Product Manager profiles
Mandatory (Experience 1) – Must have minimum 3+ years of hands-on Product Management experience in B2B SaaS
Mandatory (Experience 2) – Must have minimum 2 years of prior experience in Software Development or QA (Can be skipped if candidate has product management experience in PureTech company OR in same product line as Callhub)
Mandatory (Experience 3) – Proven track record of shipping successful products end-to-end, from ideation / conception to launch and post-launch iteration
Mandatory (Education) - Candidate must have an engineering background (B.E/ B.Tech /M.Tech)
Mandatory (Location) - Candidate must be from Bengaluru
Mandatory (Company) - B2B SaaS (Highly preference for CommunicationTech)
Mandatory (Note) - Candidate's overall experience should not exceed 8 years.
Mandatory (Note): This is an IC role
Job Title: Assistant Manager - Financial Planning and Analysis (Qualified CA)
Location: Gurgaon, India
Experience Required: 3-5 years of post-qualification experience in corporate finance or FP&A
Industry: Textile / Apparel / Garment Accessories/ Retail
Department: Financial Planning & Analytics
We are seeking a highly skilled and motivated Assistant Manager – Finance to join our finance team. The ideal candidate will be a Qualified Chartered Accountant (CA) with a minimum 3+ years of post-qualification experience in corporate finance or FP&A. The role requires strong proficiency in Excel, hands-on experience in month-end reporting (for both local and overseas books), and the ability to evaluate business cases and respond to ad hoc financial queries. This position plays a key role in financial analysis, reporting, and supporting strategic business decisions.
Key Deliverables (Essential functions & Responsibilities of the Job):
· Business Case Evaluation: Analyse and evaluate financial aspects of new projects and investments. Prepare financial models, conduct sensitivity analysis, and assess the feasibility and risks of proposed initiatives.
· Budgeting and Forecasting: Partner with business units to develop annual budgets and rolling forecasts. Track performance and provide variance analysis against financial plans.
· Ad Hoc Business Support: Respond to queries from internal stakeholders, including senior management and department heads, by providing financial insights and recommendations that support data-driven decisions.
· Month-End and UK Reporting: Manage month-end closing activities for both local and international entities. Prepare and submit reports to the UK team within specified timelines and ensure accuracy in all submissions.
· Process Improvements: Drive improvements in financial reporting processes and systems. Identify opportunities to streamline workflows and enhance data accuracy.
· Data Management and Reporting:
Maintain integrity of financial data across systems and databases. Generate ad hoc reports and perform detailed data analysis when required.
Key Skills:
· Strong command of Excel and financial modelling
· Experience in budgeting, forecasting, and variance analysis
· Excellent analytical and problem-solving skills
· High attention to detail and accuracy
· Strong communication skills with the ability to collaborate cross-functionally
· Familiarity with ERP systems (e.g., SAP, Oracle) is preferred
Mail updated resume with current salary-
Email: etalenthire[at]gmail[dot]com
Satish; 88 O2 74 97 43
Google search: Glan management consultancy
Work Mode: Hybrid (2 days WFO)
We are looking for a Data Engineer who is a self-starter to work in a diverse and fast-paced environment within our Enterprise Data team. This is an individual contributor role that is responsible for designing and developing of data solutions that are strategic for the business and built on the latest technologies and patterns,regional and global level by utilizing in-depth knowledge of data, infrastructure, technologies and data engineering experience.
Responsibilities
· Design, Architect, and Develop solutions leveraging cloud big data technology to ingest, process and analyze large, disparate data sets to exceed business requirements
· Develop systems that ingest, cleanse and normalize diverse datasets, develop data pipelines from various internal and external sources and build structure for previously unstructured data
· Interact with internal colleagues and external professionals to determine requirements, anticipate future needs, and identify areas of opportunity to drive data development
· Develop good understanding of how data will flow & stored through an organization across multiple applications such as CRM, Broker & Sales tools, Finance, HR etc
· Unify, enrich, and analyze variety of data to derive insights and opportunities
· Design & develop data management and data persistence solutions for application use cases leveraging relational, non-relational databases and enhancing our data processing capabilities
· Develop POCs to influence platform architects, product managers and software engineers to validate solution proposals and migrate
· Develop data lake solution to store structured and unstructured data from internal and external sources and provide technical guidance to help migrate colleagues to modern technology platform
· Contribute and adhere to CI/CD processes, development best practices and strengthen the discipline in Data Engineering Org
· Mentor other members in the team and organization and contribute to organizations’ growth.
Soft Skills
· Independent and able to manage, prioritize & lead workloads
· Team player, Reliable, self-motivated, and self-disciplined individual capable of executing on multiple projects simultaneously within a fast-paced environment working with cross functional teams
· Strong communication and collaboration skills, with the ability to work effectively in a team environment.
Technical Skills
· 8+ years’ work experience and bachelor’s degree in Information Science, Computer Science, Mathematics, Statistics or a quantitative discipline in science, business, or social science.
· Hands-on engineer who is curious about technology, should be able to quickly adopt to change and one who understands the technologies supporting areas such as Cloud Computing (AWS, Azure(preferred), etc.), Micro Services, Streaming Technologies, Network, Security, etc.
· 5 or more years of active development experience as a data developer using Python-spark, Spark Streaming, Azure SQL Server, Cosmos DB/Mongo DB, Azure Event Hubs, Azure Data Lake Storage, Azure Search, Azure Data factory and Azure synapse analytics, Git Integration with Azure DevOps, etc.
· Experience with designing & developing data management and data persistence solutions for application use cases leveraging relational, non-relational databases and enhancing our data processing capabilities
· Experience with building, testing and enhancing data curation pipelines and integrating data from a wide variety of sources like DBMS, File systems, APIs and streaming systems for various KPIs and metrics development with high data quality and integrity
· Experience with maintaining the health and monitoring of assigned data engineering capabilities that span analytic functions by triaging maintenance issues; ensuring high availability of the platform; monitoring workload demands; working with Infrastructure Engineering teams to maintain the data platform; serve as an SME of one or more application
· 3+ years of experience working with source code control systems and Continuous Integration/Continuous Deployment tools
Executive/ Sr. Executive/ Analyst /Sr. Analyst - AR
Demonstrated Skills:
• Average ability on calling, spoken and written English with moderate medical billing knowledge.
• Should be able to work independently with minimal supervision, on moderate and complex tasks with guidance from supervisors
• Should be a team player and collaborate in solving the issues and problems.
Roles & Responsibilities:
• Ability to talk to insurance companies & check online for outstanding payments and document the conversation/ findings on patient account and assigned WP as per the standardization protocol with required accuracy.
• Willingness to work in the night shift
• Meet Compliance requirements like HIPPA etc.
• Meet QMS and ISMS requirements
• Meet productivity and quality standards
• Should have good typing speed of 25 wpm
• Should ensure 100% attendance.
Sr. Executive - AR:-
Demonstrated Skills:
• Above average calling, spoken and written English skills, high medical billing knowledge
• Should work independently, and with minimal supervision, on complex tasks with guidance from supervisors
• Should be a team player and collaborate in solving the issues
Roles & Responsibilities:
• Ability to analyze a claim and talk to insurance companies & check online for outstanding payments and take necessary action, so that the claim is closed
• Mentor and guide team members
• Willing to work in Night shifts
• Typing skills should be at min 30 wpm
• Should ensure 100% attendance. Should not have any unapproved absenteeism
• Ensure required quality standards.
• Should be from OEM background.
• Experience should be 2-3 years
• Should be good in communication (English and Hindi) Skill Sets- Consulting and farming of Enterprise clients.
Responsibilities:
• Attending the Business requirement call with the client key stakeholders.
• Define project scope, document requirements as per the client needs and expectations.
• Get the requirements Sign-Off from the client before starting the implementation.
• Gathering the data & entered the same for Record to Report session.
• Presenting the Record to Report session to client.
• Successfully resolve client questions; Research and troubleshoot issues; Report findings and propose solutions to Product Management team to resolve issues;
• Identify impact to other project implementations and closely work with the Sales and Product Management teams to identify options and recommendations.
• Educate the users concerning best practices of working.
• Data migration.
• Testing of ERP.
• Post Go Live Support and Handover.
• Presenting the other session Case to resolution, marketing to ROI
• Form customization
• Workflow design
• Preparation of any Process document required by client.
Hello
Job Description
Requirements
Benefits
Job description
Quantela is seeking UI Developer in development of web based front end applications for enterprises.
Candidate should have sound understanding of Object-Oriented JavaScript concepts and JavaScript Debugging skills.
Good working knowledge of HTML5, CSS3, structure, and semantics.
Experience of CSS Pre-processors like Less, Sass, SCSS.
Experience in JavaScript & jQuery
Must have basic knowledge of core concepts of Angular 2+ is must
Experience in typescript Understanding of version control systems like Git, SVN.
Good communication & analytical skills
Candidate should have excellent written and verbal communication skill and a positive attitude.









