Machine Learning (ML)
Data Science- Data & Analytics team is responsible to integrate new data sources and build data models, data dictionaries and machine learning models for the Wholesale Bank.
- The goal is to design and build data products to support squads in Wholesale Bank with business outcomes and development of business insights. In this Job Family we make a distinction between Data Analysts and Data Scientist. Both scientists as analysts work with data and are expected to write queries, work with engineering teams to source the right data, perform data munging (getting data into the correct format, convenient for analysis/interpretation) and derive information from data.
- The data analyst typically works on simpler structured SQL or similar databases or with other BI tools/packages. The Data Scientists are expected to build statistical models or be hands-on in machine learning and advanced programming.
- Role of Data Scientist to support our Corporate banking teams with insights gained from analyzing company data. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must have banking or corporate banking experience.
6 Years - 10 Years
Analytics
- Should be comfortable in solving Wholesale Banking domain analytical solution within AI/ML platform
Shubham Vishwakarma
Full Stack Developer - Averlon
About Fragma Data Systems
About
Fragma is a leading Big data, AI and Advanced analytics company provideing services global clients.
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MongoDB
Go Programming (Golang)The requirements are as follows:
1) Familiar with the the Django REST API Framework.
2) Experience with the FAST API framework will be a plus
3) Strong grasp of basic python programming concepts ( We do ask a lot of questions on this on our interviews :) )
4) Experience with databases like MongoDB , Postgres , Elasticsearch , REDIS will be a plus
5) Experience with any ML library will be a plus.
6) Familiarity with using git , writing unit test cases for all code written and CI/CD concepts will be a plus as well.
7) Familiar with basic code patterns like MVC.
8) Grasp on basic data structures.
You can contact me on nine three one six one two zero one three two
Position- Guidewire Develeoper
Exp- 8+ yrs
Oppurtunity- Contract.
Duyration- 3 months+ extendable
Location- Remote
Budget- 1.5 lakh
Shift- General IST
Required Skills & Experience:
8+ years of IT experience with 5+ years in Guidewire implementations
Minimum 4+ years of hands-on experience in Guidewire Cloud formation
Strong hands-on expertise in at least one Guidewire XCenter (any 2 is fine):
PolicyCenter
BillingCenter
ClaimCenter
Proficiency in GOSU, Guidewire data model, and integration patterns
Experience with Guidewire Cloud architecture, deployment models, and cloud-based integrations
Experience working in distributed/onshore-offshore delivery models
Strong problem-solving and debugging skills
Excellent verbal and written communication skills (client-facing readiness is critical)
Preferred Qualifications:
Guidewire certifications
P&C Insurance domain expertise
Experience with APIs, integrations, and event-driven architecture
Agile/Scrum experience
- Strong B2B Sales / UX/UI/Tech solutions Consulting Sales Profile
- Mandatory (Experience 1): Must have 2+ YOE in B2B Tech solutions Sales, with a focus on selling UX/UI services or digital transformation consulting solutions
- Mandatory (Experience 2): Must have direct experience in hunting new leads, fixing meetings, and closing deals with CXO-level stakeholders
- Mandatory (Experience 3): Must have strong consultative selling experience — including handling proposals, pricing, RFPs, and end-to-end sales cycles
- Mandatory (Core Skills 1): Should be confident in outreach via LinkedIn and email
- Mandatory (Core Skills 2): Familiarity with CRM tools (Zoho CRM – added advantage), pipeline management, and reporting
- Mandatory (Company): UX/UI Design Studios OR Software Tech Service companies
- Mandatory (Exclusion): Do not consider candidates from EdTech, hardware sales, SaaS sales
Preferred
- Preferred (Domain): Knowledge of BFSI/Fintech
Preferred Companies
Target Comapnies: UI/UX & Design-Focused Agencies - (Lollypop Design Studio, Yellow Slice, Think Design, 3 Minds Digital, TECHVED Consulting, The Minimalist, Growth Hackers Digital, The Glitch, DesignCoz, F1 Studioz, HumanX, ProCreator, Octet Design Studio, Ungrammary, Onething Design, Iqonic Design, Dipa Inhouse.)
Software Development & Tech Service Startups - (Unico Connect, Robosoft Technologies, Binmile, EvolutionCo, Nimap Infotech, Route Mobile, Matrix Bricks, Probey Services, GwayERP, Miracuves, Avigma Tech, Dcyber TechLab Pvt Ltd, THINKBAR, AdvertSneak Technologies, Viaante, AMELA Technology, Terralogic Solutions Inc, Acumen Cognitive Engineering, Ambab Infotech.)
Large IT Consulting & Enterprise Service Companies - (Tata Consultancy Services (TCS), Infosys, LTIMindtree, Mastek, Onward Technologies, eClerx, Hexaware, Tata Teleservices)
About the Role
We are seeking a fast, creative, and technically skilled 3D Explainer Video Producer to transform daily incident briefs into short, high-impact explainers within hours. You will work across a blend of real-time 3D pipelines and AI-powered tools to deliver cinematic-quality videos that help the world understand fast-moving events — all while staying aligned to our visual brand.
Key Responsibilities
Translate incident briefs into concise visual storylines and scene concepts
- Create or AI-generate 3D assets using Blender, Maya, or 3ds Max
- Animate scenes using real-time engines like Unreal Engine or Unity
- Composite titles, graphics, and voiceovers using After Effects and Premiere (or Resolve)
- Integrate AI tools like Runway, Pika, and ElevenLabs to accelerate production
- Maintain a reusable library of templates, transitions, rigs, and sound design elements
- Ensure brand consistency across color, fonts, resolution, aspect ratios, and platform-specific specs
- Collaborate with writers, analysts, and social media teams to refine edits under tight timelines
Required Skills
1+ years of 3D/motion-graphics production experience
Proficiency in Blender, Maya, or 3ds Max
Experience with Unreal Engine or Unity for cinematic rendering
Advanced use of After Effects and Premiere Pro (or DaVinci Resolve)
Strong storyboard literacy and ability to convert briefs into visual sequences
Familiarity with AI tools for asset creation, animation, or TTS
Fast, efficient, and organized with excellent communication skills
Bonus Skills
Journalism, news, or media production experience
Python, C#, or scripting for pipeline automation
Experience with short-form video platforms (YouTube Shorts, Reels, LinkedIn)
Color grading expertise using DaVinci Resolve
Role Must Have's
- Startup Hiring Experience in both Tech and Non Tech domains
- 2 years + Experience
- Demonstrated experience in closing mid and senior roles at startups
- Demonstrated experience in using LinkedIn recruiter, GitHub, and social media channels for recruiting
- Excellent communication and interpersonal skills
- Nice to Have: Computer Science Academic Background
Responsibilities
- Build an effective candidate pipeline through Inbound/Outbound sourcing channels with minimal dependency
- Co-ordinate for interview panel, schedule interviews, and run debriefs efficiently
- Be able to recruit active/passive candidates for Tech roles
- Possess strong ability to pre-screen interview candidates
- Build and maintain a network of potential candidates through pro-active market research and ongoing relationship management
- Communicate well with the hiring manager and stakeholders to ensure an effective interview process.
Behaviors & Experiences
- Independently Driven
- Experience managing and prioritizing multiple searches, projects, and client relationships
- High Learning Agility
- Extraordinarily Conscientious
Job Responsibilities:
- Builds business by identifying and selling prospects; maintaining relationships with clients.
- Identifies business opportunities by identifying prospects and evaluating their position in the industry; researching and analyzing sales options.
- Sells products by establishing contact and developing relationships with prospects; recommending solutions.
- Maintains relationships with clients by providing support, information, and guidance; researching and recommending new opportunities; recommending profit and service improvements.
- Identifies product improvements or new products by remaining current on industry trends, market activities, and competitors.
- Prepares reports by collecting, analyzing, and summarizing information.
- Maintains quality service by establishing and enforcing organization standards.
- Maintains professional and technical knowledge by attending educational workshops; reviewing professional publications; establishing personal networks; benchmarking state-of-the-art practices; participating in professional societies.
- Contributes to team effort by accomplishing related results as needed.
Working Conditions:
- Sales engineers will drive the sales growth from their respective zones (it may be Bangalore/Chennai).
- Work timings are from 9:30 AM to 07: 30 PM with suitable time offs for lunch and snacks. (Monday to Friday)
- Travelling to prospective clients may be required for demo/trial as and when required.
Data Analytics- Own the product analytics of bidgely’s end user-facing products, measure and identify areas of improvement through data
- Liaise with Product Managers and Business Leaders to understand the product issues, priorities and hence support them through relevant product analytics
- Own the automation of product analytics through good SQL knowledge
- Develop early warning metrics for production and highlight issues and breakdowns for resolution
- Resolve client escalations and concerns regarding key business metrics
- Define and own execution
- Own the Energy Efficiency program designs, dashboard development, and monitoring of existing Energy efficiency program
- Deliver data-backed analysis and statistically proven solutions
- Research and implement best practices
- Mentor team of analysts
Qualifications and Education Requirements
- B.Tech from a premier institute with 5+ years analytics experience or Full-time MBA from a premier b-school with 3+ years of experience in analytics/business or product analytics
- Bachelor's degree in Business, Computer Science, Computer Information Systems, Engineering, Mathematics, or other business/analytical disciplines
Skills needed to excel
- Proven analytical and quantitative skills and an ability to use data and metrics to back up assumptions, develop business cases, and complete root cause
analyses - Excellent understanding of retention, churn, and acquisition of user base
- Ability to employ statistics and anomaly detection techniques for data-driven
analytics - Ability to put yourself in the shoes of the end customer and understand what
“product excellence” means - Ability to rethink existing products and use analytics to identify new features and product improvements.
- Ability to rethink existing processes and design new processes for more effective analyses
- Strong SQL knowledge, working experience with Looker and Tableau a great plus
- Strong commitment to quality visible in the thoroughness of analysis and techniques employed
- Strong project management and leadership skills
- Excellent communication (oral and written) and interpersonal skills and an ability to effectively communicate with both business and technical teams
- Ability to coach and mentor analysts on technical and analytical skills
- Good knowledge of statistics, basic machine learning, and AB Testing is
preferable - Experience as a Growth hacker and/or in Product analytics is a big plus
Amazon Web Services (AWS)Job DescriptionPosition: Sr Data Engineer – Databricks & AWS
Experience: 4 - 5 Years
Company Profile:
Exponentia.ai is an AI tech organization with a presence across India, Singapore, the Middle East, and the UK. We are an innovative and disruptive organization, working on cutting-edge technology to help our clients transform into the enterprises of the future. We provide artificial intelligence-based products/platforms capable of automated cognitive decision-making to improve productivity, quality, and economics of the underlying business processes. Currently, we are transforming ourselves and rapidly expanding our business.
Exponentia.ai has developed long-term relationships with world-class clients such as PayPal, PayU, SBI Group, HDFC Life, Kotak Securities, Wockhardt and Adani Group amongst others.
One of the top partners of Cloudera (leading analytics player) and Qlik (leader in BI technologies), Exponentia.ai has recently been awarded the ‘Innovation Partner Award’ by Qlik in 2017.
Get to know more about us on our website: http://www.exponentia.ai/ and Life @Exponentia.
Role Overview:
· A Data Engineer understands the client requirements and develops and delivers the data engineering solutions as per the scope.
· The role requires good skills in the development of solutions using various services required for data architecture on Databricks Delta Lake, streaming, AWS, ETL Development, and data modeling.
Job Responsibilities
• Design of data solutions on Databricks including delta lake, data warehouse, data marts and other data solutions to support the analytics needs of the organization.
• Apply best practices during design in data modeling (logical, physical) and ETL pipelines (streaming and batch) using cloud-based services.
• Design, develop and manage the pipelining (collection, storage, access), data engineering (data quality, ETL, Data Modelling) and understanding (documentation, exploration) of the data.
• Interact with stakeholders regarding data landscape understanding, conducting discovery exercises, developing proof of concepts and demonstrating it to stakeholders.
Technical Skills
• Has more than 2 Years of experience in developing data lakes, and datamarts on the Databricks platform.
• Proven skill sets in AWS Data Lake services such as - AWS Glue, S3, Lambda, SNS, IAM, and skills in Spark, Python, and SQL.
• Experience in Pentaho
• Good understanding of developing a data warehouse, data marts etc.
• Has a good understanding of system architectures, and design patterns and should be able to design and develop applications using these principles.
Personality Traits
• Good collaboration and communication skills
• Excellent problem-solving skills to be able to structure the right analytical solutions.
• Strong sense of teamwork, ownership, and accountability
• Analytical and conceptual thinking
• Ability to work in a fast-paced environment with tight schedules.
• Good presentation skills with the ability to convey complex ideas to peers and management.
Education:
BE / ME / MS/MCA.
brands, and content streams.
• Coordinate between stakeholders and management to ensure timely deliverables.
• Liaise between the social media marketing, Franchising, Leasing, and Conceptualisation team and
clients.
• Procuring new clients through direct contact, and word-of-mouth, in collaboration with the marketing
department.
• Maintaining meaningful relationships with new and existing clients to ensure that they are retained.
• Accurately track results on a project basis i.e., sales margin revenue, expenses, attendance, proportion,
and any other values.
• Drive successful revenue for the organization by explaining counselling the prospect properly based
on requirements.
• Prepare PowerPoint presentations and present them in client meetings.
• Prepare and maintain budget through monitoring revenue and expenses.
• Negotiating with clients to secure the most attractive prices.
• Reviewing clients' feedback and implementing necessary changes.
• Responsible to plan and coordinate the work schedule in order to meet the client timelines.
SKILLS REQUIRED
• Excellent networking, communication, and presentation skills
• Good time management and organizational skills
• Basic knowledge of MS Office and other software’s to create presentation decks
• Knowledge to pitch the company products and negotiate with clients
• Attention to detail
• Confident and reliable and able to work independently
PythonThe Risk team is responsible for overall risk framework and strategy for the organization. The team develops various risk models, arrives at various sector reports from a risk perspective and provides in depth analysis and recommendation around risk profiles of various clients.
In this role, the person is responsible for playing a leadership role in the Risk function to identify, assess, monitor and make timely and measured judgments on all current and potential future risks faced, in order to protect the organization’s interest, assets and reputation of the group along with growing shareholder value and profitability.
Responsibilities
- Manage risk for the retail and wholesale portfolio. Should have managed organization level Risk Policies, Credit Underwriting and Collection functions.
- Manage risk framework for the organization - including updating, establishing new risk management mechanisms, to identify, assess, monitor, measure and control a broad spectrum of risks. Ensure all policies and frameworks are kept updated and deployed to the optimum level.
- Develop continuous monitoring and improvement of the quality of the organization's credit and lending portfolio through credit policy direction and implementation.
- Possess a complete understanding the business. Evaluate, improve, and monitor the business, including assisting in reporting to the Board and Board Committees and providing leadership in the effectiveness of credit risk management controls, systems, and processes across the organization.
- Lead and mentor a team of analysts.
- Possess 7+ years of relevant experience in financial services industry in a risk role.
- Exposure to both wholesale and retail risk in a banking environment will be preferred. Some experience in a business / sales role within the banking / NBFC space will be an added advantage.
- Should have held a position of authority in terms of allocation and appropriating limits.
- Sector understanding in financial institution space and good knowledge of interpreting financial trends.
- High proficiency in Python and SQL/NoSQL.
- Experience with big data and cloud computing e.g., PySpark, data lake is a plus.
- Outstanding written, verbal and interpersonal communication skills.
- Ability to speak at various levels of an organization (CXOs to analysts).
- Have demonstrated resilience – stayed with companies and taking businesses to scale, have preferably not ‘hopped jobs. Strong organizational skills and excellent follow-through.
- Present / articulate / position an idea compellingly and ability to work in a fast-paced dynamic environment.
- Excellent communication and presentation skills.
- Takes personal ownership; Self-starter; Ability to drive projects with minimal guidance and focus on high impact work.
- Learns continuously; Seeks out knowledge, ideas and feedback.
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Full Stack Developer - Averlon