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

Experience Requirements:

• 5+ years of experience in consumer-facing frontend development

• Experienced in ReactJS, NextJS, Typescript, Firebase or similar technologies

• Knowledge of Back-End Web Development (we use Rust)

• Experience with building frontends for AI development

• Strong problem-solving skills and attention to detail

Other Requirements:

• Strong written and verbal communication skills are a must

• Ability to work independently and proactively, no handholding required

• Ability to use AI tools to 10x productivity

• Must be based out of Singapore and have work authorization

• Willing to meet in person once in two weeks

Responsibilities:

• developing user-facing features

• ensuring the technical feasibility of UI/UX designs

• optimizing applications for maximum speed and scalability

• collaborating with other team members and stakeholders to create a cohesive product

• writing clean, scalable code, conducting code reviews, and staying up-to-date with emerging technologies and industry trends

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 degree preferred, HS diploma or equivalent required

Experience Requirements:

• 3 - 5 years in Land development design and/or land development

• Experience with CAD

Other Requirements:

• All necessary stormwater certifications are required

• Valid driver’s license required

• Working knowledge of Air Quality Regulations and Stormwater Pollution Prevention Plan (SWPPP) protocols

• Strong computer skills with knowledge of Microsoft Office, Microsoft Project, and bidding take-off software

Responsibilities:

• Travel between job sites in the market to inspect progress, problem-solve and validate work

• Manage trade partners to execute development work to our specifications in accordance with established budget and project schedule

• Proactively work to resolve issues and potential issues to keep development projects on-time and on-budget

• Secure final tract/plat acceptance by governing municipalities and agencies and ensure that all work follows City, County, Special Districts guidelines and codes

• Partner with sub-contractors to prepare and process bid packages, contracts, change orders, check requests invoices and bonds as necessary

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

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.