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Years of Experience:4-6 Years
Work Location: Bangalore
Notice:Immediate to 15 Days(Max)
Responsibilities:
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4+ years of experience in IOS Development.
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Strong 3 Years of experience in Swift.(Mandatory)
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Good knowledge in Flutter.
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Strong analytical skills combined with experience in Object Oriented Programming (OOPS) concepts and Cocoa touch and iOS SDK.
Required skills:
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Proficient with Objective-C and Swift (depending on project requirements)
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Experience with iOS frameworks such as Core Data.
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Familiarity with Restful APIs to connect iOS applications to back-end services.
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Understanding of Apple's design principles and interface guidelines
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Experience with performance and memory tuning with tools (such as Instruments and Shark, depending on project needs).
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Familiarity with cloud message APIs and push notifications.
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Proficient understanding of code versioning tools such as Git, SVN, bit bucket.
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Familiarity with continuous integration.
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Universal application development for both iPhone and iPad.
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Be able to build mobile applications to connect to middleware and applications through web services.
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Have excellent knowledge about the performance optimization of mobile applications.

Appian Developer / Sr Appian Developer
· Extensive experience in Appian BPM application development
· Knowledge of Appian architecture and its objects best practices
· Participate in analysis, design, and new development of Appian based applications
· Team leadership and provide technical leadership to Scrum teams
· Must be able to multi-task, work in a fast-paced environment and ability to resolve problems faced
by team
· Build applications: interfaces, process flows, expressions, data types, sites, integrations, etc.
· Proficient with SQL queries and with accessing data present in DB tables and views
· Experience in Analysis, Designing process models, Records, Reports, SAIL, forms, gateways, smart
services, integration services and web services
· Experience working with different Appian Object types, query rules, constant rules and expression
rules
Qualifications
· At least 6 years of experience in Implementing BPM solutions using Appian 19.x or higher
· Over 8 years in Implementing IT solutions using BPM or integration technologies
· Certification Mandatory- L1 and L2 a
· Experience in Scrum/Agile methodologies with Enterprise level application development projects
· Good understanding of database concepts and strong working knowledge any one of the major
databases e g Oracle SQL Server MySQL
Additional information
Skills Required
· Appian BPM application development on version 19.x or higher
· Experience of integrations using web services e g XML REST WSDL SOAP API JDBC JMS
· Good leadership skills and the ability to lead a team of software engineers technically
· Experience working in Agile Scrum teams
· Good Communication skills
🌍 We’re Hiring: AI Success & Solutions (Lead / Manager / Director) | Remote | Full-time
Are you passionate about bridging AI technology with real business impact?
Do you enjoy working customer-facing, driving solution delivery, and ensuring measurable outcomes?
We’re looking for specialists in AI Success & Solutions to lead end-to-end delivery of enterprise AI projects. This role blends Solutions Architecture with Customer Success, partnering with clients to turn AI capabilities into tangible business value.
What You’ll Do:
🔹 Partner with Sales & Data Science to understand client challenges and define success criteria
🔹 Design solution architecture and data pipelines tailored to each use case
🔹 Own post-sale execution: manage projects, facilitate deployment, and track measurable outcomes
🔹 Ensure operational excellence with documentation, version control, and team coordination
🔹 Identify growth opportunities and act as a trusted strategic advisor to clients
What We’re Looking For:
✔️ 6+ years in hybrid technical + customer-facing roles (Solutions Architect, Customer Success, Engagement Manager)
✔️ Experience with applied Data Science, ML, GenAI (LLM prompting, RAG)
✔️ Proven ability to deliver AI or data-driven solutions in consulting or startup environments
✔️ Excellent storytelling and business value articulation for technical and executive audiences
✔️ Strong project management, ownership, and attention to detail
✔️ Global client experience preferred; professional fluency in English required
✨ Why Join Us:
- Drive measurable impact for Fortune 500 customers worldwide
- Be part of a category-defining AI company bridging agents and experts
- Own strategic accounts end-to-end and shape modern AI success
- Work with a high-performance, cross-functional team
- Globally competitive compensation & benefits
Job description
We are hiring a dynamic Business Development Associate / Business Development Manager experienced in the Online Bidding platform - UPWORK .
Only local candidates of Kolkata needs to apply
The current position requires the following skills:
Marketing Skills
● Very strong communication skills
● Fluent in English (written and spoken)
● Understanding of general IT outsourcing business
● Experienced in working with different bidding sites - Upwork, Freelancer, etc
● 2 - 6 years Experience in handling international clients (US, UK, EU)
● Writing proposals, deciding costing, estimation, online bidding, and negotiations
● Strong presentation and business analysis skills
● Basic awareness of web and app development (you don't need to be a coder)
● Ability to liaise with project managers and technical team leaders Soft Skills
● Outstanding Team player
● Delivery Oriented
● Adaptable to challenges
● Problem solverRequired Candidate profile
● Must have experience in bidding/working on online portals/marketplaces like Upwork /Freelancer.
● Freshers can also apply
● Must have worked with international clients (UK, US, EU)
● Fluent in English (written and spoken)
Perks and Benefits
Additional huge monthly Incentive based on performance
Role: Business Development Executive (BDE)
React Native Developer Job Description
We are searching for a brilliant, flexible React Native Developer to create novel Android / IOS apps that meet the needs of our target audience.
To this end, the React Native Developer's Responsibilities include writing and proofreading code, liaising with coworkers within and outside of their department, and monitoring customers' feedback. Over time, you will also be required to create app updates.
To ensure success as an React Native Developer, you should demonstrate proficiency in one of the mainstream programming languages, and a sound understanding of the traditional product life cycle.
An exceptional React Native Developer will be fearless but respectful in the pursuit of excellence, continually striving to shape the
ways in which Android/ IOS apps impact the world around us.
React Native Developer Responsibilities:
Conceptualizing and formulating apps that are suitable for use on all types of Android/lOS devices.
Implementing measures to safeguard users' data.
Ensuring that the construction and presentation of your apps are congruent with the company's standards.
Proofreading your code and correcting mistakes before each app is released.
Collaborating with Ul and UX Designers, as well as Software Testers, to ensure that each app is presentable and in perfect working order.
Talent Acquisition Specialist
Who are we?
“Re-imaging credit and payments from First Principles”
Payments is an interesting engineering challenge in itself with requirements of low latency, transactional guarantees, security, and high scalability. When we add credit and engagement into the mix, the challenge becomes even more interesting with underwriting and recommendation algorithms working on large data sets. We have eliminated the current call center, sales agent, and SMS-based processes with a mobile app that puts the customers in complete control. To stay agile, the entire stack is built on the cloud with modern technologies.
OneCard (Best credit card app) : http://www.getonecard.app/">www.getonecard.app
OneScore (Over 10 million downloads): http://www.onescore.app/">www.onescore.app
What you will do:
- Execute new ways of attracting and hiring tech and product talent - PAN India across various technologies.
- Manage complete recruitment life cycle (Source > Screen > Interview > Hire)
- Conduct interview assessments combining various methods including technical assessments.
- Building a healthy talent pipeline across the tech/ product domain.
- Deliver exceptional candidate experience throughout the process.
- Collaborate with the HR team, delivering on key internal SLAs.
- Ability to conduct market intelligence in sourcing candidates, mapping, negotiating offers and decision-making.
- Manage vendor relationships.
Who you should be?
- Passionate about technology, hiring and networking with people.
- Minimum 3 to 5 years of Technical recruitment experience (preferably with Product/ Fintech Companies/ startups).
- Comfortable working with a fast-paced startup environment.
- Skilled with G-Suite applications, preferably ATS experience.
- Preferably someone with a technical education background.
- Strong communicator and go-getter.
Work Location: Aundh, Pune office (the role is on-site with WFH flexibility owing to environment and business drivers)
We’re looking to hire someone to help scale Machine Learning and NLP efforts at Episource. You’ll work with the team that develops the models powering Episource’s product focused on NLP driven medical coding. Some of the problems include improving our ICD code recommendations , clinical named entity recognition and information extraction from clinical notes.
This is a role for highly technical machine learning & data engineers who combine outstanding oral and written communication skills, and the ability to code up prototypes and productionalize using a large range of tools, algorithms, and languages. Most importantly they need to have the ability to autonomously plan and organize their work assignments based on high-level team goals.
You will be responsible for setting an agenda to develop and ship machine learning models that positively impact the business, working with partners across the company including operations and engineering. You will use research results to shape strategy for the company, and help build a foundation of tools and practices used by quantitative staff across the company.
What you will achieve:
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Define the research vision for data science, and oversee planning, staffing, and prioritization to make sure the team is advancing that roadmap
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Invest in your team’s skills, tools, and processes to improve their velocity, including working with engineering counterparts to shape the roadmap for machine learning needs
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Hire, retain, and develop talented and diverse staff through ownership of our data science hiring processes, brand, and functional leadership of data scientists
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Evangelise machine learning and AI internally and externally, including attending conferences and being a thought leader in the space
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Partner with the executive team and other business leaders to deliver cross-functional research work and models
Required Skills:
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Strong background in classical machine learning and machine learning deployments is a must and preferably with 4-8 years of experience
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Knowledge of deep learning & NLP
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Hands-on experience in TensorFlow/PyTorch, Scikit-Learn, Python, Apache Spark & Big Data platforms to manipulate large-scale structured and unstructured datasets.
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Experience with GPU computing is a plus.
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Professional experience as a data science leader, setting the vision for how to most effectively use data in your organization. This could be through technical leadership with ownership over a research agenda, or developing a team as a personnel manager in a new area at a larger company.
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Expert-level experience with a wide range of quantitative methods that can be applied to business problems.
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Evidence you’ve successfully been able to scope, deliver and sell your own research in a way that shifts the agenda of a large organization.
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Excellent written and verbal communication skills on quantitative topics for a variety of audiences: product managers, designers, engineers, and business leaders.
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Fluent in data fundamentals: SQL, data manipulation using a procedural language, statistics, experimentation, and modeling
Qualifications
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Professional experience as a data science leader, setting the vision for how to most effectively use data in your organization
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Expert-level experience with machine learning that can be applied to business problems
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Evidence you’ve successfully been able to scope, deliver and sell your own work in a way that shifts the agenda of a large organization
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Fluent in data fundamentals: SQL, data manipulation using a procedural language, statistics, experimentation, and modeling
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Degree in a field that has very applicable use of data science / statistics techniques (e.g. statistics, applied math, computer science, OR a science field with direct statistics application)
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5+ years of industry experience in data science and machine learning, preferably at a software product company
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3+ years of experience managing data science teams, incl. managing/grooming managers beneath you
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3+ years of experience partnering with executive staff on data topics

Designing, architecting and developing the backend and APIs, primarily using the MEAN/MERN stack, for products or platforms for end-clients to consume our technology in Infrastructure Monitoring from Satellite Imagery and Robotic Process Automation in Banking and Mortgage Services.
- Interfacing with the customer, tech team members, project managers and other relevant product people for a thorough understanding of the product, use case and business objective, detailed specification and data flow for the requirement, demonstration of the solution and clarification of queries at appropriate times during the life-cycle of the product.
- Preparing test cases, setting up CI/CD and integration with logging and monitoring systems for the products or platforms
- Seeking customer feedback to continuously optimize the product for great customer experience and high technical performance in areas such as hardware efficiency, latency and throughput
- Delivering a robust backend platform for the products and platforms by incorporating important considerations regarding minimal downtime, high availability, data redundancy, tight security, etc. into the design











