Benefits:

• Unlimited leaves

• Life Insurance & Private Health insurance paid by Sahaj

• Stock options

• No hierarchy

• Open Salaries

Experience Requirements:

• At least 8+ years experience as a Software Engineer.

• Deep understanding of programming fundamentals and expertise with at least one programming language (functional or object-oriented).

• A nuanced and rich understanding of code quality, maintainability and practices like Test Driven Development.

• Experience with one or more source control and build toolchains.

• Working knowledge of CI/CD will be an added advantage.

Other Requirements:

• Understanding of web APIs, contracts and communication protocols.

• Understanding of Cloud platforms, infra-automation/DevOps, IaC/GitOps/Containers, design and development of large data platforms.

• A maker’s mindset – To be resourceful and have the ability to do things that have no instructions.

Responsibilities:

• Remain fully hands-on and write high-quality, production-ready code that enables smooth deployment of solutions.

• Lead architecture and design decisions, ensuring adherence to best practices in technology choices and system design.

• Utilize DevOps tools and practices to automate and streamline the build and deployment processes.

• Work closely with Data Scientists and Engineers to deliver robust, production-level AI and Machine Learning systems.

• Develop frameworks and tools for efficient data ingestion from diverse and complex sources.

Benefits:

• Unlimited leaves

• Life insurance & private health insurance

• Stock options

• No hierarchy

• Open Salaries

Experience Requirements:

• Demonstrated experience as a Senior Data Engineer in complex enterprise environments.

• Deep understanding of technology fundamentals and experience with languages like Python, or functional programming languages like Scala

• Demonstrated experience in design and development of big data applications using tech stacks like Databricks, Apache Spark, HDFS, HBase and Snowflake

• Commendable skills in building data products, by integrating large sets of data from hundreds of internal and external sources would be highly critical

• Ability to deliver an application end to end; having an opinion on how your code should be built, packaged and deployed using CI/CD

Other Requirements:

• A nuanced understanding of code quality, maintainability and practices like Test Driven Development

• Understanding of Cloud platforms, DevOps, GitOps, Containers

Responsibilities:

• Collaborate with Data Scientists and Engineers to deliver production quality AI and Machine Learning systems

• Build frameworks and supporting tooling for data ingestion from a complex variety of sources

• Consult with our clients on data strategy, modernising their data infrastructure, architecture and technology

• Model their data for increased visibility and performance

• You will work in short sprints to deliver working software

Benefits:

• Unlimited leaves

• Life insurance & private health insurance

• Stock options

• No hierarchy

• Open Salaries

Education Requirements:

• PhD/Master’s/Graduate Degree in Computer Science, Machine Learning, AI, Operational Research, Statistics, or Mathematics. or equivalent.

Experience Requirements:

• Should have experience with a proven track record in client interaction, can collaborate with engineering and business teams and is good at formulation, solving and deploying Data Science models.

• conversant with at least 2 or more of the above areas

• conversant with deep learning and conventional machine learning methods

• expertise in problem solving whilst being hands on and be conversant with coding in Python along with relevant libraries.

Other Requirements:

• requisite theoretical strength

Responsibilities:

• help solve client problems

• conversant with end-to-end data science model life cycle, metrics, and deployment challenges

• conceptualizing, formulating, coding and deploying the solutions to the problem

• conversant with interacting with the clients and be able to make sense of ambiguous problem statements

• building a RAG leveraging open source or commercial LLMs, building a Multiagent system, leveraging Small Language models that could be locally resident, problems in computer vision, speech, Natural Language Processing (NLP), multilingual models, applied statistics, data mining or conventional machine learning models

Experience Requirements:

• 5 - 10 years

Other Requirements:

• 1 opening

Experience Requirements:

• 5 - 8 years

Other Requirements:

• 1 opening

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:

• 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:

• 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

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:

• 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.

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:

• 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

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.

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.

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

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.