Education Requirements:

• Bachelors Degree in Computer Science or related field required

Experience Requirements:

• Minimum 2 years experience designing and implementing time series forecasting

• Minimum 2 years experience designing and implementing machine learning solutions

Other Requirements:

• Object oriented programming skills in one of Scala, Java, Python, C++

• Strong knowledge and understanding of machine learning pipelines

• Common data science toolkits, such as NumPy Pandas scikit-learn Matplotlib etc

• Deep learning frameworks such as PyTorch TensorFlow

• SQL and NoSQL databases such as PostgreSQL Cassandra MongoDB etc.

Responsibilities:

• Design machine learning systems

• Research and implement appropriate ML algorithms and tools

• Develop machine learning applications according to requirements

• Select appropriate datasets and data representation methods

• Train ML/AI algorithms and test them for accuracy, precision and recall

Experience Requirements:

• 2-6 years

• Minimum 2 years needed

• At a minimum of 2 years of hands-on experience in Python and Javascript

Other Requirements:

• Proficiency in Python

• Familiarity with MySQL, Redis and MongoDB

• Strong organizational and project management skills

• Excellent verbal communication skills

• Good problem-solving skills

Responsibilities:

• Designing and developing APIs

• Develop scalable systems using Python with Flask / Django

• Apply best coding practices, review peer code, maintain repositories on GIT

• Create test cases for API and module level testing

• Deploy production-grade apps/services on cloud-based environments

Benefits:

• Opportunity to work on impactful, data-centric projects

• Exposure to both data analytics and data science practices

• Gain hands-on experience with cutting-edge technologies

• Collaborative and growth-oriented work environment

Education Requirements:

• Currently pursuing or recently completed a degree in Computer Science, Data Science, Statistics, or a related field

Experience Requirements:

• Basic knowledge of data analytics concepts and methods (e.g., statistical analysis, data visualization)

• Proficiency in data analysis tools such as Excel, SQL, and Python (Pandas, NumPy, etc.)

Other Requirements:

• Strong problem-solving skills and attention to detail

• Ability to work independently and in a team environment

• Excellent communication skills with the ability to present data findings clearly

• Knowledge of data visualization tools (e.g., Tableau, Power BI) and PostgreSQL is a Bonus

• A willingness to learn new tools and technologies in data science

Responsibilities:

• Assist in the collection, processing, and cleaning of large datasets to ensure data quality and integrity

• Perform basic data analysis using tools such as Excel, SQL, and Python to generate actionable insights

• Support the development and testing of machine learning models under guidance

• Work closely with engineering and business teams to identify opportunities for data-driven improvements

• Contribute to the preparation and presentation of data reports and dashboards

Experience Requirements:

• 6+ years of experience in IT administration or IT operations

• Prior experience as an IT Manager or Senior IT Administrator

• Experience supporting 50–300 employee environments

Other Requirements:

• Google Workspace

• SaaS administration and access management

• Endpoint management / MDM tools

• Office networking and on-site support

Responsibilities:

• Own day-to-day IT operations for the Bangalore office

• Handle employee onboarding and offboarding

• Administer internal SaaS tools

• Own identity and access management

• Act as the primary on-site IT support and escalation point

Education Requirements:

• Bachelor's or higher degree in Computer Science, Software Engineering, or a related field

Experience Requirements:

• Proven experience as a DevOps or SRE Engineer

• Strong proficiency in scripting languages (e.g. Python, Bash)

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

• Hands-on experience with infrastructure as code (IaC) tools like Terraform

Other Requirements:

• Familiarity with cloud-native technologies (Docker, Kubernetes)

• Experience managing multi-architecture deployments

• Entrepreneurial & start-up mindset

Responsibilities:

• Design, implement, and maintain CI/CD pipelines

• Develop and manage infrastructure as code (IaC) using Terraform

• Implement and manage containerization and orchestration tools

• Monitor and optimize system performance

• Collaborate with security teams to ensure infrastructure meets security best practices

Benefits:

• A competitive salary and benefits package

• Opportunity to collaborate with leading experts in AI

• Environment that values innovation and collaboration

• Support for personal and professional development

• Pivotal role in the AI revolution

Experience Requirements:

• 8+ years of experience in systems/software engineering

• Experience in delivering PaaS services

• Proven experience optimizing and scaling deep learning runtimes

• Strong programming skills in Python and C++

• Start up previous experience

Other Requirements:

• Familiarity with distributed training frameworks

• Experience working with multi-GPU, multi-node, or cloud-native AI workloads

• Solid understanding of containerized workloads

Responsibilities:

• Own the core runtime architecture supporting AI training and inference at scale

• Design resilient and elastic runtime features within a custom PyTorch stack

• Profile and enhance low-level system performance

• Design and maintain libraries and services that support model lifecycle

• Guide technical discussions and mentor junior engineers

Experience Requirements:

• 8–12+ years of backend or infrastructure engineering experience

• Expert-level proficiency in Golang

• Strong experience building production-grade distributed systems

• Proven track record working on infrastructure platforms, PaaS, or deep-tech systems

Other Requirements:

• Deep understanding of cloud-native architectures

• Strong experience with Kubernetes, Docker, and cluster orchestration systems

• Experience with scalable distributed databases

• Startup-minded builder comfortable with ambiguity

Responsibilities:

• Architect and develop high-performance backend services in Golang

• Design backend systems for distributed AI workloads and orchestration

• Build internal platform APIs for model deployment and job scheduling

• Design and scale microservices and event-driven architectures

• Lead architecture reviews and set backend engineering standards

Education Requirements:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field

Experience Requirements:

• 8+ years of experience in DevOps, SRE, or Infrastructure Engineering

• At least 2+ years in a Staff/Lead-level capacity

• Proven experience designing and operating large-scale cloud-native distributed systems

• Deep expertise in Kubernetes, Docker, and container orchestration

Other Requirements:

• Strong hands-on experience with Terraform

• Advanced knowledge of CI/CD systems

• Strong proficiency in scripting and programming (Python, Go, Bash)

• Extensive experience with cloud platforms (AWS, GCP, Azure)

Responsibilities:

• Architect and evolve the infrastructure backbone for PaaS and AI runtime platforms

• Design highly available, fault-tolerant, and scalable systems

• Establish and own SRE principles including SLIs, SLOs, and error budgets

• Lead the design and implementation of Infrastructure as Code

• Design and implement end-to-end observability for distributed systems

Experience Requirements:

• Strong hands-on development experience with React + Python

• Experience with fastapi, pydantic, sqlmodel, and async backend development

• Deep understanding of vite, bun, and frontend build/performance optimization

• Ability to manage frontend async workflows using react-query

Other Requirements:

• Strong API design skills

• Experience building modular services and UI-driven systems

• Ability to operate independently in a high-speed environment

Responsibilities:

• Build full-stack features across Squirrel, Marketplace, and Licensing

• Develop frontend modules using React and modern tooling

• Implement backend logic, APIs, and data models using Python

• Design clean API contracts between frontend and backend components

• Build robust data flows across multi-architecture compute workflows

Education Requirements:

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field

Experience Requirements:

• 10+ years in Linux systems engineering

• Proven ownership of bare-metal server bring-up and large-scale fleet provisioning

• Extensive experience enabling multi-GPU training over RoCEv2 or InfiniBand

• Strong track record building reproducible OS images and automation pipelines

Other Requirements:

• Deep kernel and userspace debugging skills

• Proficiency in UEFI/BIOS, GRUB, SecureBoot, and PXE

• Knowledge of NVIDIA CUDA, NCCL, and GPUDirect RDMA stacks

• High ownership mindset

Responsibilities:

• Architect and lead end-to-end bring-up of AI/HPC server platforms

• Define standards for UEFI/BIOS, GRUB, and PXE/iPXE provisioning

• Architect, build, and harden custom Linux images optimized for AI

• Lead kernel tuning and performance-sensitive workload optimization

• Lead validation of PCIe topologies and advanced features

Benefits:

• A competitive salary and benefits package

• Opportunity to collaborate with leading experts in AI

• Environment that values innovation and collaboration

• Support for personal and professional development

• Pivotal role in the AI revolution

Experience Requirements:

• 8+ years backend engineering

• 3+ years API design/architecture ownership

• Hands-on coding in Go/Java/Python

• Track record of designing APIs used by multiple teams or customers

Other Requirements:

• Strong in RESTful design

• Knowledge of GraphQL/gRPC is a plus

• Deep knowledge of API security (OAuth2, JWT)

• Experience with API gateways and CI/CD

Responsibilities:

• Own the end-to-end API strategy: design, standards, governance, versioning

• Define and maintain stable, customer-facing APIs

• Build internal APIs connecting modules for parallel development

• Establish best practices including API style guides and OpenAPI specs

• Mentor engineers and review designs

Experience Requirements:

• 4+ years experience in office administration, HR operations, or a combined role

• Prior experience supporting a tech or startup environment

• Strong knowledge of India HR operations, payroll coordination, and statutory compliance

Other Requirements:

• Highly organized and detail-oriented

• Comfortable handling confidential employee information

• Excellent communication and interpersonal skills

• Enjoys being on-site

Responsibilities:

• Manage day-to-day operations of the Bangalore office

• Coordinate office vendors and manage office budgets

• Support end-to-end employee lifecycle for the India team

• Ensure compliance with India labor laws and company policies

• Work with global HR teams to implement policies locally

Education Requirements:

• Degree in Computer Science, Engineering, Data Science, or related field preferred

Experience Requirements:

• 12–14 years of product management experience

• Experience in SaaS, compliance, fintech, or enterprise software preferred

• Proven success managing products from discovery to launch in an agile environment

Other Requirements:

• Ability to translate regulatory/legal complexity into technical product requirements

• Strong communication and stakeholder management skills across technical and non-technical audiences

• Builder’s mindset – comfortable with ambiguity, eager to bring structure, and focused on outcomes

• Collaborative problem-solver who thrives at the intersection of technology and customer need

Responsibilities:

• Partner with the Head of Product to refine and execute the product roadmap

• Translate customer feedback and business needs into technical product requirements

• Prioritize features and enhancements based on business value, customer impact, and technical feasibility

• Act as a bridge between customers, internal SMEs, and development teams

• Partner with engineering to deliver scalable, cloud-native, multi-tenant data solutions

Education Requirements:

• UG: Any Graduate

• PG: Any Postgraduate

Experience Requirements:

• 4-6 years professional experience in Account Management

Other Requirements:

• Familiarity with the banking and financial services industry

• Proficient in Excel, MS Word, and PowerPoint

• Excellent verbal and written English communication skills

Responsibilities:

• Build, manage, and expand strategic accounts within your portfolio

• Develop long-term relationships with clients by mapping organizational hierarchies

• Identify and close new sales opportunities

• Develop and nurture relationships with key decision-makers (CXOs, BU Heads, Product Heads)

• Collaborate with front-end teams and business support functions for training programs

Education Requirements:

• Any Graduate / Postgraduate

Experience Requirements:

• 3–7 years in Customer Success, Account Management, or Solution Consulting

• Experience handling enterprise BFSI/fintech clients (preferred)

Other Requirements:

• Strong knowledge of SaaS, API-led solutions, digital KYC, fraud tech

• Hands-on experience with API testing tools (Postman, REST Assured)

• Understanding of REST APIs and SOAP services

• Familiarity with BI tools and data-driven analysis

Responsibilities:

• Drive client adoption of Digitap’s SaaS products and ensure smooth onboarding

• Educate and onboard clients, conduct POCs, and ensure smooth implementation

• Act as the primary point of contact for queries, escalations, and integrations

• Identify upsell/cross-sell opportunities across KYC, AML, Fraud, and Risk APIs

• Monitor client KPIs and product usage to recommend improvements

Education Requirements:

• MBA required, preferably from Tier I institute

Experience Requirements:

• 4-6 years’ direct selling experience in Technology Products/ Services / Solutions

• 2+ years SaaS experience preferred

Other Requirements:

• Experience and comfort in working with Finance and Fintech industry customers

• Ability to Manage conversation at CXO level

• Excellent selling, communication, and negotiation skills

Responsibilities:

• Open new accounts and sustain strategic customer relationships

• Deliver on tactical sales plans and set up meetings/demos

• Make Digitap.ai a top recall in the Fintech/NBFC/BFSI fabric

• Carry and hit sales targets

• Act as a bridge between customers and the product team for feedback

Benefits:

• Professional development budget

• Exposure to founders and new technologies

• Full-stack ownership of customer programs

Education Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, or Data Science

Experience Requirements:

• 5-7 years of experience in machine learning engineering

Other Requirements:

• Hands-on expertise with LLMs (GPT, BERT) and CV models

• Proficiency in Python and ML frameworks like PyTorch

• Knowledge of Cloud ML Platforms (Azure ML, Sagemaker)

Responsibilities:

• Fine-tune LLMs for healthcare applications

• Develop state-of-the-art VLM models for medical document analysis

• Create classic NLP models for patient interaction

• Manage model deployment in production environments

• Mentor junior staff

Experience Requirements:

• 2-5 years

Other Requirements:

• Strong hands-on programming experience in Python

• Working knowledge of Go (Golang)

• Experience building backend systems using frameworks such as FastAPI, Flask, or Django

• Experience designing and consuming REST APIs

• Strong understanding of Linux environments, Docker-based deployments, and hybrid/on-prem infrastructure

Responsibilities:

• Lead Augnito deployments across hospitals and enterprise healthcare networks

• Design and implement integrations with EMR/EHR systems and clinical platforms

• Develop APIs, middleware, and data pipelines to enable interoperability

• Write production-grade backend services using Python and Go

• Create deployment tooling, automation scripts, and observability utilities

Education Requirements:

• Chartered Accountant

Experience Requirements:

• 8+ years

• 8–15 years' experience

Other Requirements:

• Proven leadership in high-growth or startup environments

• Track record in cost transformation and capital planning

• Ability to scale teams and processes

Responsibilities:

• Design and maintain internal controls and accounting policies

• Deliver monthly MIS, variance analysis, and cashflow forecasts

• Partner with leadership on budgeting, pricing, and investor due diligence

• P&L ownership and monthly closures

• Statutory compliance and risk management of all entities

Benefits:

• Meal coupons

• Group Term Life Insurance

• Group Health Insurance

• Group Personal Accident Insurance

• 18 days of vacation and 12 days of contingency leave

Education Requirements:

• Bachelor's Engineering in data Analytics, Computer Science, Statistics, or related field

Experience Requirements:

• 7+ years of experience as a Data Analyst or similar role

Other Requirements:

• Strong proficiency in SQL, especially in Snowflake

• Hands-on experience with Databricks analytics

• Experience working with large-scale cloud data warehouses and data lakes

Responsibilities:

• Lead the design, development, and optimization of enterprise BI solutions using Snowflake and Databricks

• Develop complex, optimized SQL queries in Snowflake to support dashboards and reporting

• Leverage Databricks for large-scale data transformations and advanced analytics

• Own and standardize business metrics, KPIs, and reporting definitions

• Implement and enforce BI best practices, including performance tuning and data governance