Benefits:

• Competitive salary

• Health Insurance

• Paid leave on Birthday and Anniversary

• We are a five-day working company but, on some weeks, there might be tasks on Saturdays

• Pick up & drop facility available (30Km in and around)

Experience Requirements:

• No prior experience required

Other Requirements:

• Ability to handle disputes

• Ability to perform under pressure

• Ability to work well in a team

• Adaptable and flexible

• Written and verbal communication

• Please note that this role may require you to work in rotational shifts

Responsibilities:

• In this role you are required to solve routine problems, largely through precedent and referral to general guidelines

• Your expected interactions are within your own team and direct supervisor

• You will be provided detailed to moderate level of instruction on daily work tasks and detailed instruction on new assignments

• The decisions that you make would impact your own work

• You will be an individual contributor as a part of a team, with a predetermined, focused scope of work

Benefits:

• Competitive salary

• Health Insurance

• Paid leave on Birthday and Anniversary

• We are a five-day working company but, on some weeks, there might be tasks on Saturdays

• Pick up & drop facility available (30Km in and around)

Education Requirements:

• A bachelor’s or master’s degree in Business Administration (BBA), Commerce (B.Com), or Finance (M.Com) with a minimum 60% aggregate with no backlogs

Experience Requirements:

• No prior experience required

Other Requirements:

• Skill required: Record to Report / Procure to Pay / Order to Cash

• Financial Consolidation & Close Operations

• Ability to establish a strong client relationship

• Ability to handle disputes

• Ability to manage multiple stakeholders

• Ability to meet deadlines

• Ability to perform under pressure

• Please note that this role may require you to work rotational shifts (should be ready to work day & night Shifts)

Responsibilities:

• In this role, you are required to do analysis and solving of lower-complexity problems

• Your day-to-day interaction is with peers within InterviewDesk before updating supervisors

• In this role, you may have limited exposure to clients and/or InterviewDesk management

• You will be given moderate-level instruction on daily work tasks and detailed instructions on new assignments

• The decisions you make impact your own work and may impact the work of others

Benefits:

• Company equity % in an early-stage startup

• 100% company-paid private Dental & Vision insurance

Experience Requirements:

• 5+ years of industry experience and having built systems of reasonable scale

• Familiar and have experience with either Go or Python

• Experience designing, implementing, debugging, scaling, and optimising APIs, databases and pipelines as the traffic grows to multi-TB scale

• Experience with infrastructure-as-code solutions (e.g., Pulumi over AWS).

• Experience with monitoring tools (e.g., Grafana).

Other Requirements:

• Experience with authentication (e.g., Auth0).

• High intrinsic motivation to succeed and ability to work hard.

Responsibilities:

• Design and implementation of the APIs, databases and data pipelines.

• Ensure the system can scale to the growing traffic, have full observability and drive down the cost.

• Taking end-to-end responsibility over delivery of features, maintaining high SLA and debugging issues.

• Supporting a broader front-end, edge-computing and ML team.

Education Requirements:

• Bachelor’s degree from reputable college

Experience Requirements:

• 1–4 years of experience in Growth, Business Analysis, Consulting, Startups, or Marketing firms.

Other Requirements:

• Comfortable to work with AI tools for content creation, analysis, and experimentation

• Strong problem-solving and analytical skills with a bias for fast execution

• Strong interpersonal skills to build rapport, influence stakeholders, and manage relationships

• Demonstrated excellence outside academics (sports, arts, publications, leadership roles) with at least one standout achievement is a plus

Responsibilities:

• Identify and categorize content types (written, video, audio, visual) aligned with business objectives

• Collaborate with Sales and Product teams to define relevant, high-impact content themes

• Create clear, engaging, and channel-appropriate content

• Manage end-to-end publishing to ensure timely and optimized distribution

• Design and execute rapid marketing experiments across content formats

Experience Requirements:

• 1–3 years of experience in Machine Learning / AI Engineering/ Deep Learning

• 1-3 years of experience with the latest semi-supervised, unsupervised and few shot architectures in Deep Learning methods in NLP/CV domain.

• Have previously shipped something of significance, either implemented some paper or made significant changes in an existing architecture etc.

Other Requirements:

• Strong Machine Learning concepts

• Strong command in low-level operations involved in building architectures like Transformers, Efficientnet, ViT, Faster-rcnn, etc., and experience in implementing those in pytorch/jax/tensorflow

• Strong command in probability and statistics

• Strong programming skills in Python and familiarity with PyTorch or TensorFlow.

• Experience with data preprocessing, training, and evaluation for vision or NLP tasks.

• Experience working with LLMs or multimodal models (Hugging Face transformers, Nanonets-OCR-S, Qwen-VL, LLaMa).

• Knowledge of REST APIs, Docker, Git, Kubernetes and basic cloud deployment (AWS/GCP/Azure).

• Good understanding of ML fundamentals (supervised learning, evaluation metrics, error analysis)

• Basic understanding of agentic AI workflows (document reasoning, confidence scoring, grounding).

• Strong problem-solving and analytical skills

Responsibilities:

• Understand specific customer requirements, develop and apply SOTA GenAI solutions to their workflows

• Develop and fine-tune OCR and Vision Language Models (text detection, recognition, entity extraction, layout understanding).

• Build and maintain data pipelines for documents, including cleaning, augmentation, and annotation.

• Implement and evaluate document parsing solutions for invoices, receipts, IDs, contracts, forms, etc.

• Work with LLMs/VLMs to enhance document understanding and enable intelligent reasoning over documents.

Education Requirements:

• B.E/B.Tech/B.Sc. degree in IT/CS or similar relevant field

Experience Requirements:

• Previous working experience as a MEAN Stack Developer for 0-1years

• In depth knowledge of NodeJS

• Experience on the nature of asynchronous programming and its quirks and workarounds

• Experience implementing applications using AngularJS, Angular

• Experience creating front end applications using HTML5, LESS/SASS

Other Requirements:

• Hands on experience with JavaScript Development on both client and server-side

• Experience with modern frameworks and design patterns, minimum one-year experience with MEAN Fullstack

• Strong analytical skills and problem-solving aptitude

• Attention to detail

• Knowledge of Consumer Web Development Experience for High-Traffic, Public Facing web applications

• Experience with cloud technologies also a plus

• Creating secure RESTful-based web services in XML and JSON, Javascript, JQuery

• Continuous integration (Jenkins/Hudson) and version control (SVN, Git)

Responsibilities:

• Integration of user-facing elements developed by front-end developers with server-side logic

• Writing reusable, testable, and efficient code

• Design and implementation of low-latency, high-availability, and performant applications

• Implementation of security and data protection

• Integration of data storage solutions, database

Education Requirements:

• Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Science, or a related field.

Experience Requirements:

• 6 to 8 years of experience in data architecture, data engineering, or a related field.

• Extensive experience with PLSQL and Snowflake, including designing and implementing Snowflake-based solutions.

• Sales compensation domain experience is preferred.

• Proven track record of contributing to data projects and working in complex environments.

• Familiarity with cloud platforms (e.g., AWS, GCP) and their data services.

Other Requirements:

• Snowflake certification (e.g., SnowPro Core, SnowPro Advanced) is a plus.

Responsibilities:

• Design and implement scalable, efficient, and secure Snowflake solutions to meet business requirements.

• Develop data architecture frameworks, standards, and principles, including modeling, metadata, security, and reference data.

• Implement Snowflake-based data warehouses, data lakes, and data integration solutions.

• Manage data ingestion, transformation, and loading processes to ensure data quality and performance.

• Collaborate with business stakeholders and IT teams to develop data strategies and ensure alignment with business goals.

Experience Requirements:

• 5+ years of hands-on experience in data modeling, including conceptual, logical, and physical design.

• Proven experience migrating large-scale Oracle DWH environments to Databricks Lakehouse or similar platforms.

• Strong expertise in Oracle database schemas, PL/SQL, and performance tuning.

• Proficiency in Databricks, Delta Lake, Spark SQL, and DataFrame APIs.

• Experience designing models optimized for cloud platforms (preferably AWS or Azure).

Other Requirements:

• Deep knowledge of dimensional modeling techniques (Star/Snowflake).

• Familiarity with tools and practices for metadata management, data lineage, and governance.

• Strong analytical and communication skills with the ability to work collaboratively in Agile teams.

• Ability to document and communicate data model designs to both technical and non-technical stakeholders.

Responsibilities:

• Design and implement conceptual, logical, and physical data models that support business requirements and analytics needs.

• Lead the migration of data models from an on-prem Oracle Data Warehouse to Databricks on AWS or Azure cloud.

• Reverse-engineer and analyze complex Oracle schemas, PL/SQL code, and existing structures to build equivalent or improved models on the cloud.

• Collaborate with data architects and engineers to define optimal data structures in Databricks, leveraging Delta Lake and Spark.

• Optimize data models for performance, scalability, and cost-efficiency in a cloud-native environment.

Education Requirements:

• Bachelor’s degree in computer science, Engineering, or a related field (preferred)

Experience Requirements:

• 6+ years of professional experience in full stack software development, with a solid foundation in both frontend (React, Angular, etc.) and backend (Node.js, Python, Java, Go) technologies.

• Hands-on experience with Kubernetes, container orchestration, and deployment automation in production-grade environments.

• Proven experience with mobile SDKs, especially Android (Java/Kotlin), and integrating platform services like camera APIs and keystore.

• Solid understanding of DevSecOps practices, including secure key management, code obfuscation, and encrypted data pipelines.

• Demonstrated experience working on cross-team, enterprise-scale projects, ideally involving SDKs or biometric systems.

Other Requirements:

• Familiarity with configuration-driven development and secure packaging/distribution of SDKs or mobile libraries.

Responsibilities:

• Design, build, and maintain the Biometrics SDK platform, including frontend tools, SDK packaging logic, backend APIs, and orchestration workflows.

• Implement the camera-based capture flow, metadata embedding, encryption using Android Keystore and attestations, and deliver secure SDK integration packages.

• Integrate with Kubernetes-based infrastructure to deploy and scale services used for testing, provisioning, and management of SDKs.

• Support multi-configuration support (face, palm) and customizable UX layers, and ensure compatibility with enterprise compliance standards (e.g., WVAG 2.x).

• Write and maintain clean, well-documented code that adheres to security and coding best practices.

Experience Requirements:

• 4 years of experience in AngularJS development.

• Proficiency in JavaScript, HTML5, and CSS3.

Responsibilities:

• Develop and maintain dynamic web applications using AngularJS.

• Create reusable, efficient, and modular AngularJS components and services.

• Optimize applications for maximum performance, scalability, and maintainability.

• Debug and troubleshoot existing applications to improve functionality and user experience.

• Write clean, maintainable, and well-documented code following best practices and coding standards.

Experience Requirements:

• 3–4 years of hands-on experience in Flutter and Dart

• Experience with RESTful APIs and third-party integrations

• Good understanding of mobile architecture and design patterns

• Strong debugging and problem-solving skills

• Excellent communication and teamwork skills

Responsibilities:

• Develop and maintain cross-platform mobile applications using Flutter

• Collaborate with designers and backend developers for seamless integration

• Write clean, maintainable, and testable code

• Optimize app performance and troubleshoot issues

• Participate in code reviews and team discussions

Experience Requirements:

• 4 years of experience in AngularJS development.

• Proficiency in JavaScript, HTML5, and CSS3.

Responsibilities:

• Develop and maintain dynamic web applications using AngularJS.

• Create reusable, efficient, and modular AngularJS components and services.

• Optimize applications for maximum performance, scalability, and maintainability.

• Debug and troubleshoot existing applications to improve functionality and user experience.

• Write clean, maintainable, and well-documented code following best practices and coding standards.

Experience Requirements:

• 6+ years' experience

Other Requirements:

• Working with large datasets, preprocessing data, and ensuring its quality and accuracy for model training.

• Deploying machine learning models into production environments and continuously monitoring their performance, making adjustments as needed.

• Keeping up with the latest developments in AI and ML technologies, including new algorithms, frameworks, and best practices

• Knowledge in Snowflake Cortex LLM

Responsibilities:

• Develop and fine-tune natural language processing (NLP) models for customer matching, deduplication

• Build and optimize MLOps pipelines to streamline AI/ML workflows

• Integrate large language models (LLMs) into enterprise systems

• Contribute to technical decision-making for AI tools and frameworks

• Stay current on emerging AI technologies and contribute to proof-of-concept projects

Experience Requirements:

• 5+ years hands on experience in UI technologies like JavaScript, Angular, JQuery, HTML5 & CSS3.

• Expert level knowledge of JavaScript including the latest edition(s) of JavaScript

• Hands on experience with JavaScript frameworks Angular15 or above versions

• Proficient in advanced CSS3, HTML5 and Bootstrap

• Good understanding of advanced JavaScript libraries JQuery

Other Requirements:

• Proficient understanding of code versioning tools, such as Git

• Excellent analytical/reasoning skills

Responsibilities:

• Design, develop, and deploy high-quality software solutions

• Contribute to critical application and product development projects

• Collaborate with cross-functional teams to deliver exceptional user experiences

• Participate in the entire software development lifecycle

• Ensure software meets quality standards and technical requirements

Benefits:

• Health and Wellness: Healthcare policy covering your family and parents.

• Food: Enjoy scrumptious buffet lunch at the office every day. (Bangalore)

• Hybrid work policy: Beat the everyday traffic commute. A 3-day in office and 2-day WFH policy based on your roles and responsibilities.

• Professional Development: Learn and propel your career. We provide workshops, funded online courses and other learning opportunities based on individual needs.

• Rewards and Recognition's: Recognition and rewards programs in place to celebrate your achievements and contributions.

Experience Requirements:

• 4+ years of experience in AI/ML development.

• Strong proficiency in Python and ML frameworks like TensorFlow, PyTorch, or Hugging Face Transformers.

• Hands-on experience with LLMs, GenAI, and RAG architectures.

• Experience working with vector databases (e.g., FAISS, Pinecone, ChromaDB).

• Knowledge of ML algorithms, deep learning architectures, and NLP techniques.

Other Requirements:

• Familiarity with cloud platforms (AWS, GCP, or Azure) and AI/ML model deployment.

• Experience with LangChain or LlamaIndex for LLM applications is a plus.

• Strong problem-solving skills and the ability to work in a fast-paced environment.

Responsibilities:

• Design, develop, and optimize LLM-based applications with a focus on RAG pipelines, fine-tuning, and model deployment.

• Implement GenAI solutions for text generation, summarization, code generation, and other NLP tasks.

• Develop and optimize ML models, leveraging classical and deep learning techniques.

• Build and integrate retrieval systems using vector databases like FAISS, ChromaDB, Pinecone, or Weaviate.

• Optimize and fine-tune LLMs (e.g., OpenAI GPT, LLaMA, Mistral, Falcon) for domain-specific use cases.

Experience Requirements:

• 4 to 6 years as a Data Analyst or in a similar role.

• SAP HANA – Proficient in querying and performance optimization. Strong experience in scripting and modeling, and proficient in HANA graphical views and scripted views

• SAP BODs – Beginner-level knowledge of ETL processes.

• Strong SQL skills with ability to write and optimize queries on large datasets.

• Advanced MS Excel (Pivot tables, complex formulas, Power Query, etc.)

Other Requirements:

• Familiarity with data visualization tools (Power BI, Tableau, or similar).

• Excellent ability to interpret data, identify trends, and provide actionable insights.

• Strong verbal and written communication for engaging with stakeholders and presenting findings.

• Ability to troubleshoot data issues, investigate root causes, and provide timely resolutions.

Responsibilities:

• Write, optimize, and execute complex SQL queries in SAP HANA and Snowflake.

• Extract, transform, and analyze large datasets to support business requirements.

• Validate and reconcile data across multiple systems to ensure accuracy and consistency.

• Respond to ad-hoc data-related questions and support requests from stakeholders.

• Provide insights and recommendations through clear reports and presentations.

Benefits:

• Total Remuneration

• Growth & Rewards

• Physical & Mental Health

• Diversity, Equity & Inclusion

Education Requirements:

• Bachelor's degree in Computer Science/ Software Engineering or equivalent

Experience Requirements:

• Demonstrated understanding of Test methodologies and principles

• 3+ years of prior hands-on experience in using automation frameworks using test automation tools such as Katalon, Selenium, Cypress, Playwright or Appium

• Experience working in Scrum Teams

• Knowledge of testing APIs and back-end services

Other Requirements:

• Ability to work successfully in a fast-paced environment

• Good command of English communication, both written and verbal

• Some experience in a leadership role (QA Lead or Test Lead) of a team

• Knowledge of modern ecosystems and automated build/deployment pipelines (Jenkins, Github, Azure Pipelines, etc)

• Knowledge of cloud providers such as Kobiton, BrowserStack and Saucelabs

Responsibilities:

• Develop, deliver, and continuously improve digital training materials and workshops tailored to Katalon’s platform

• Conduct live training sessions, webinars, and interactive office hours to guide clients through best practices and effective usage

• Create self-paced digital content, including video tutorials, user guides, and FAQs, to support diverse learning styles

• Serve as the primary point of contact for clients enrolled in the Digital Adoption Program, providing proactive support and resolving adoption challenges

• Leverage hands-on quality engineering experience to advise clients on test methodologies, automation frameworks, and API/back-end testing best practices

Education Requirements:

• Bachelor's degree in Business, Communication, or related field

Experience Requirements:

• 3-5 years of experience in SaaS onboarding, with prior support experience a plus.

• Proven experience in managing enterprise-level onboarding processes.

Other Requirements:

• Strong cross-functional collaboration and teamwork skills.

• Experience working with customers in the US, EU, and India.

• Proficiency in Microsoft Excel for data analysis and reporting

• Flexibility to accommodate global customer time zones.

• Excellent written and spoken English communication skills.

Responsibilities:

• Lead and manage enterprise-level onboarding projects, ensuring successful tool launches and smooth client transitions.

• Coordinate onboarding activities, develop project timelines, and monitor deliverables.

• Continuously evaluate and optimize internal processes for efficiency and simplicity.

• Maintain proactive communication with clients, providing timely updates and resolving queries.

• Prioritize and manage onboarding tasks to ensure completion within agreed timelines.

Benefits:

• Work with cutting-edge CX solutions transforming digital engagement

• Be part of a collaborative and high-performance team culture

• Growth opportunities in a fast-scaling business environment

Experience Requirements:

• Minimum 5 years of experience in a Customer Success, Account Management, or similar client-facing role in the CX product domain

• Prior experience working in or with BPOs is essential, with a strong understanding of operational workflows and metrics

• Strong understanding of CX tools, SaaS products, and customer journey mapping

• Exceptional communication, problem-solving, and stakeholder management skills

• Ability to analyze data and metrics to inform decision-making and demonstrate value

Other Requirements:

• Self-motivated, organized, and able to manage multiple client relationships simultaneously

• Experience with tools like Zendesk, Freshdesk, Salesforce, Gainsight, or similar CX/CRM platforms

• Exposure to global clients and ability to manage expectations across time zones

• Knowledge of CS methodologies like Success Planning, Health Scoring, and Lifecycle Management

Responsibilities:

• Own the post-sale customer relationship, ensuring successful onboarding, product adoption, and overall satisfaction

• Understand client business objectives and map them to our CX solutions for measurable outcomes

• Proactively monitor account health and usage metrics, identifying and addressing risks to drive retention and renewals

• Collaborate with cross-functional teams (Product, Sales, Support, and Operations) to ensure client needs are met

• Drive customer engagement through QBRs, product roadmap sessions, and success planning

Education Requirements:

• preferably tier-1 college (IISc, IITs, NITs, BITS and others)

• Masters/PhD in Computer Science, Machine Learning, or related field preferred

Experience Requirements:

• 5-15 YOE

• Worked on at least 1 Computer vision problem statement in the past 5 years

• Have built, trained and deployed models on production before

• Experience with vision transformer architectures

• Experience optimizing models for production using ONNX/TensorRT','Background in handling high-resolution satellite/aerial imagery preferred

Other Requirements:

• Comfortable with WFO in Bangalore or Noida

• Happy to read research papers day in day out and train on terabytes of image data on big H100 clusters

• Strong foundation in computer vision and deep learning fundamentals

• Extensive experience training transformer models from scratch

• Expert-level proficiency in PyTorch

• Experience with ONNX or TensorRT model optimization and deployment

• Deep understanding of distributed computing and parallel processing

• Advanced Python knowledge, including multi-threading and multi-processing optimization

• Experience with semantic segmentation tasks

• Proven track record of handling large-scale data processing

Responsibilities:

• Design and implement transformer-based architecture for semantic segmentation of aerial imagery

• Develop efficient image-to-token and token-to-image conversion pipelines

• Create and maintain training datasets, including data cleaning, augmentation, and validation

• Optimize model training processes for distributed computing environments

• Implement efficient inference pipelines for production deployment','Collaborate with engineering team to integrate new models into existing infrastructure