Experience Requirements:

• Strong proficiency in Java and object-oriented programming

• Experience with Spring Framework (Spring Boot, Spring MVC)

• Familiarity with RESTful APIs and microservices architecture

• Knowledge of version control systems like Git

• Understanding of Agile development methodologies

Other Requirements:

• Experience with cloud platforms (AWS, Azure, GCP)

• Familiarity with CI/CD tools and DevOps practices

• Exposure to frontend technologies like Angular or React is a plus

Responsibilities:

• Develop and maintain Java applications using Spring Boot and related technologies

• Write clean, efficient, and well-documented code

• Collaborate with cross-functional teams to define, design, and ship new features

• Troubleshoot and resolve issues in existing applications

• Participate in code reviews and contribute to best practices

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

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 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.

Education Requirements:

• Bachelor’s degree in computer science, Information Technology, or a related discipline

Experience Requirements:

• 5+ years of hands-on experience in Python development

• Proven experience in ERPNext development and business process customisation

• Experience with workflow automation, API integrations, and AI-based process design

• Knowledge in AI Agents and Generative AI (LLMs)

Other Requirements:

• Strong Python programming capabilities

• Proficiency in front-end technologies (JavaScript, ReactJS, jQuery)

• Experience with RESTful APIs and third-party application integrations

• Solid understanding of MySQL/MariaDB database architecture and management

• Familiarity with version control systems (Git/SVN)

• Experience with containerization tools such as Docker

• Comfortable deploying and maintaining applications in a Linux environment

• Strong analytical and problem-solving skills with attention to detail

• Excellent communication and teamwork abilities

• Capable of working independently and collaboratively in Agile/Scrum environments

Responsibilities:

• Develop, customise, and maintain ERPNext modules, doctypes, reports, and scripts

• Configure ERPNext workflows and implement business process automations

• Translate business requirements into functional ERPNext features

• Write clean, efficient, and reusable Python code to support backend development

• Integrate ERPNext with third-party applications and internal systems

Benefits:

• Top-of-market compensation

• Flexible benefits package

• High-trust, high-autonomy culture

• Choose salary versus stock options

• Medical, financial, and/or other benefits

Experience Requirements:

• Skilled in designing scalable and resilient internal tools that improve developer productivity and user experience.

• Strong systems and UI skills, able to architect robust, maintainable, and intuitive solutions across the stack.

• Proficient with modern frontend frameworks, especially React, and strong in JavaScript/TypeScript, HTML, and CSS.

• Experienced in building and consuming GraphQL and REST APIs to support rich, interactive internal tooling.

• Comfortable working across the full stack, integrating frontend applications with APIs and cloud services.

Other Requirements:

• Background in platform, tooling, or developer experience is a plus.

• Excellent communicator, able to clearly articulate technical concepts and collaborate with partners and stakeholders.

• Self-driven individual contributor who thrives in fast-paced, high-impact environments.

• Passionate about mentoring and supporting the growth of new graduates and early-career engineers.

• Strong sense of ownership and responsibility.

Responsibilities:

• Architect, build, and operate full-stack internal tooling and platform & observability solutions as part of the Netflix Consumer Identity Platform.

• Design and implement scalable, resilient internal applications and dashboards using React and related technologies.

• Develop and maintain GraphQL and BFFs that power internal tools.

• Take full ownership of technical projects, driving them from conception to production, across both frontend and API integration domains.

• Mentor early-career engineers through code reviews, design sessions, pair programming, and knowledge sharing.

Benefits:

• Work with cutting-edge technologies and revolutionise workflows in Data+AI solutions.

• Contribute to solutions that are trusted by global businesses for their scalability, security, and efficiency.

• Grow personally and professionally in a culture that values curiosity and continuous learning.

Education Requirements:

• B.Tech or equivalent bachelor ’s degree in computer science.

Experience Requirements:

• 5 years.

• Experience with using ITIL software for incident management eg: ServiceNow, FreshDesk, BMC.

• Knowledge of the Incident/Ticket management process.

• Experience working with REST API and hands on experience in using API clients like POSTMAN.

• Experience with one or more programming/scripting languages.For example, some knowledge of Kubernetes, angular js, node js. MongoDB, Linux Etc.

Responsibilities:

• Investigate and identify solutions to raise support incidents.

• Diagnose and troubleshoot technical issues.

• Track tickets through to resolution, within agreed SLA.

• Properly escalate unresolved issues to appropriate internal teams.

• Document all issues and their solutions to help future efforts in the design and implementation of our software products.

Experience Requirements:

• 5 - 10 years

Other Requirements:

• 1 opening

Experience Requirements:

• 5 - 8 years

Other Requirements:

• 1 opening

Education Requirements:

• Bachelor’s or master’s degree in interaction design, interface design, human-computer interaction, service design, (graphic) design with emphasis on UX or equivalent qualification.

• Any graduate with a degree in arts/ diploma in designing/additional courses in UI/UX.

Experience Requirements:

• 2-10 Years

• Two or more years of relevant industry experience designing applications, products, and services that balance user needs, business objectives, and technological constraints.

Other Requirements:

• Self-driven and detail-oriented

• Portfolio of design projects to be shared.

• Ability to create storyboards, user flows, process flows, wireframes, and site maps.

• Up to date with the latest UI/UX trends and technologies.

• A holistic and human-centered approach to product and service design, from research and insight generation to concept to deliverable.

Responsibilities:

• You’ll oversee creating and updating our product applications’ web and mobile user interfaces.

• Work with the product teams and relevant team members to gather and evaluate user requirements.

• Develop UI/UX mockups and prototypes.

• Adhere to the product style standards on fonts, colors, and images.

Education Requirements:

• Any graduate with a degree in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field.

Experience Requirements:

• 4-6 Years.

• Minimum of four to six years of experience in technical areas with demonstratable progress.

• Three to five years of hands-on experience in product development and support, with a clear demonstration of performance and increased responsibility.

• Minimum of three years of leadership experience in conceptualizing customer/market requirements into a software project/product.

Other Requirements:

• High-potential technical/business professional who is excited to join a fast-growing SW company in the space of sales, financial forecasting, and planning.

• Well-balanced education, technical, and business work experience, with demonstrable leadership capabilities to design, develop and support our niche products that help our customers grow profitably.

• Must have experience with SAAS products, software products, and technical products, preferably on AWS Platform.

• Strong technical, conceptual, and working knowledge of database management.

• Domain knowledge in one or more areas that ForecastEra specializes in (sales, revenue operations, finance) – with a good understanding of underlying processes, data dependencies, relationships, financial, and operational KPIs.

Responsibilities:

• design, develop and support our niche products that help our customers grow profitably.

• Sprint planning, Vision marketing, involvement in the sales pitch, competitive analysis, and feature analysis.

• Recruiting, building, and developing a professional team of technicians able to deliver projects with quality, on time, and on budget.

• Ability to supervise and improve team productivity and quality by coaching by imparting knowledge and, if necessary, by rolling up your sleeves.

• Taking responsibility for the entire team’s outcome and, if appropriate, effectively conducting performance management.

Education Requirements:

• Any graduate with relevant degree.

Experience Requirements:

• 4-10 Years

• Four or more years of extensive full-stack experience (MEAN or similar) and application design patterns.

• At least three years of hands-on experience with Vue.js, React, or any other technology

• At least five years of experience using python/Java.

• At least four years of experience designing and building RESTful services.

Other Requirements:

• Knowledge of three to four programming languages and paradigms.

• Strong experience developing web applications and understanding of new web technologies.

• Experience building highly available applications.

• Experience building/hosting production applications on any major cloud provider.

• Working knowledge of web service infrastructures such as DNS, load balancers, reverse proxies, CDNs, application Servers, and databases.

Responsibilities:

• Responsible for end-to-end architecture of new products – concepts, architecture, design and delivery, roll-out, and customer success.

• Architect scalable, robust, and cost-effective solutions in a cloud environment.

• Take complete ownership of the functional and non-functional requirements and in driving the technology roadmap.

• Work with technical leaders in other groups like R&D, marketing and customer service, etc., in understanding the pain points and work with the engineering leaders to address them.

• Identify applications for new technologies and lead implementation.

Experience Requirements:

• 4-8 Years

Other Requirements:

• Strong Python programming skills with experience in building production-grade applications.

• Experience with data engineering tools such as Pandas, PySpark, Airflow, or similar.

• Hands-on experience with LLMs (e.g., OpenAI, Hugging Face) and prompt development.

• Proficiency in designing and deploying APIs using frameworks like FastAPI or Flask REST Framework.

• Familiarity with cloud platforms (AWS, Azure, or GCP) and containerization tools like Docker.

• Knowledge of SQL and experience with relational databases like PostgreSQL, MySQL, etc.

• Basic understanding of API security (e.g., OAuth, JWT) and scalability strategies.

• Experience with vector databases like Pinecone, Weaviate, or FAISS for LLM embeddings.

• Familiarity with MLOps tools like MLflow or Kubeflow.

• Exposure to streaming technologies such as Kafka or Spark Streaming.

• Knowledge of LLM fine-tuning techniques using frameworks like PyTorch or TensorFlow.

• Experience with monitoring tools such as Prometheus, Grafana, or Datadog.

• Strong problem-solving abilities with a proactive mindset.

• Excellent communication skills to explain technical concepts to non-technical stakeholders.

• Ability to work collaboratively in a cross-functional team.

• Passion for exploring new technologies and continuously learning.

Responsibilities:

• Build and maintain scalable data preparation pipelines using Python and relevant tools.

• Optimize data workflows to handle large datasets efficiently.

• Develop, test, and refine prompts to optimize LLM outputs for specific use cases.

• Design and deploy RESTful APIs to host LLM-based solutions.

• Collaborate with cross-functional teams to gather requirements and deliver solutions.

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.

Benefits:

• Innovative Culture

• Growth Opportunities

• Flexible Work Arrangements

Experience Requirements:

• 4–6 years of full-cycle recruiting experience in SaaS, product, other high-growth tech environments, or with reputable recruitment agencies

• Proven track record hiring across Engineering, Deep Learning, GTM, and Business functions.

Other Requirements:

• Strong sourcing abilities with a knack for engaging passive candidates

• Excellent communication, stakeholder management, and negotiation skills

• Data-driven approach—comfortable analyzing recruiting performance and acting on insights

• Experience with Greenhouse ATS is a definite plus

• Familiarity with recruitment tools like LinkedIn Recruiter and AI-driven sourcing methods is an advantage

Responsibilities:

• Run the end-to-end hiring process across technical and non-technical roles, making sure every candidate has a smooth and positive experience

• Work closely with hiring managers and leadership to understand team needs and turn them into clear role requirements

• Build strong pipelines through creative sourcing and proactive outreach, not just waiting for inbound applicants

• Own recruiting operations—coordinate debriefs, manage offers and negotiations, and keep processes moving without bottlenecks

• Track key recruiting metrics (time-to-fill, offer acceptance, funnel conversion) and share insights that drive smarter decisions

Education Requirements:

• B.E./B.Tech from top-tier engineering colleges

Experience Requirements:

• 3+ years of hands-on deep learning experience with production deployments

• Proven track record of taking models from research to production

Other Requirements:

• Strong PyTorch expertise – ability to implement custom architectures, loss functions, and training loops from scratch

• Experience with distributed training and large-scale model optimization

• Solid understanding of transformer architectures, attention mechanisms, and modern training techniques

• Experience with model serving frameworks (TorchServe, Triton, Ray Serve, vLLM)

• Knowledge of efficient inference techniques (ONNX, TensorRT, quantization)

• Contributions to open-source ML projects

Responsibilities:

• Train & Fine-tune SOTA Architectures: Adapt and optimize transformer-based models, vision-language models, and custom architectures for document understanding at scale

• Production ML Infrastructure: Design high-performance serving systems handling millions of requests daily using frameworks like TorchServe, Triton Inference Server, and vLLM

• Agentic AI Systems: Build reasoning-capable OCR that goes beyond extraction – models that understand context, chain operations, and provide confidence-grounded outputs

• Optimization at Scale: Implement quantization, distillation, and hardware acceleration techniques to achieve fast inference while maintaining accuracy

• Multi-modal Innovation: Tackle alignment challenges between vision and language models, reduce hallucinations, and improve cross-modal understanding using techniques like RLHF and PEFT