AI Jobs

Benefits:

• Medical assistance programs

• Happy work environment

• Team outings

• Global events

• Professional growth opportunities

Experience Requirements:

• 0-2 Years

Benefits:

• Medical assistance programs

• Happy work environment

• Team outings

• Global events

• Professional growth opportunities

Experience Requirements:

• 2-3 Years

Benefits:

• Medical assistance programs

• Happy work environment

• Team outings

• Global events

• Professional growth opportunities

Experience Requirements:

• 1-4 years

Education Requirements:

• Bachelor's Degree in Computer Science, Cybersecurity, Information Technology, or a related field

• Master's Degree in Cybersecurity or a similar discipline (Preferred)

Experience Requirements:

• 5 to 10 years of experience in IT

• at least 3-5 years in a dedicated cybersecurity role

• Experience in network security, application security, cloud security, and data protection

• Common career path involving roles like network/system administrator or software developer

• Experience in security analyst, security engineer, or penetration tester roles

Other Requirements:

• Certifications: CISSP, CCSP, CISM, SANS/GIAC, TOGAF, MS-100

• Knowledge of TCP/IP, firewalls, VPNs, and IDS/IPS

• Proficiency with major cloud platforms (AWS, Azure, Google Cloud)

• Expertise in IAM solutions, encryption standards (AES, RSA, TLS), and DLP

• Familiarity with industry standards (NIST, ISO 27001, CIS, GDPR, PDPA)

Responsibilities:

• Creating robust security architectures and blueprints for IT projects

• Ensuring "Security by Design" as a foundational element of technology projects

• Evaluating and selecting security technologies (firewalls, IDS/IPS, DLP, IAM)

• Developing and maintaining security standards and best practices

• Conducting risk assessments, threat modeling, and overseeing vulnerability testing

Education Requirements:

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

• Master's Degree or PhD in AI, Machine Learning, Data Science, or Computer Science (Highly Desirable)

Experience Requirements:

• 7-10+ years in the technology industry

• Strong background as a software developer, cloud engineer, or general solution architect

• 3-5 years of direct, hands-on experience working on data science and machine learning projects

• Experience taking machine learning models from prototype to production environment

Other Requirements:

• Deep expertise in major cloud providers (AWS, Azure, or Google Cloud)

• Strong understanding of microservices, API design, and containerization (Docker, Kubernetes)

• Proficiency with Python and ML libraries (Scikit-learn, Pandas, NumPy, TensorFlow, PyTorch)

• Experience in specific AI domains (NLP, Computer Vision, Recommender Systems)

• Knowledge of MLOps tools (MLflow, Kubeflow, SageMaker, Vertex AI)

Responsibilities:

• Architecting data and feature pipelines for model training

• Designing the blueprint for the entire ML workflow and environment

• Evaluating and selecting appropriate technologies and AI/ML stacks

• Architecting model deployment patterns (Real-time, Batch, Edge inference)

• Integrating principles of Responsible AI (Fairness, Explainability, Transparency)

Education Requirements:

• Bachelor’s degree in Computer Science, Cybersecurity, or related field

Experience Requirements:

• 3–5 years experience in Security Operations or System Security Engineering

• Focus on IAM, PAM, or endpoint security

• Practical experience with Microsoft Defender, Intune, Entra ID, and CyberArk

• Hands-on experience with Microsoft Sentinel and Microsoft security ecosystem

Other Requirements:

• Microsoft Certifications: SC-200, SC-300, SC-400, AZ-500

• Knowledge of SSO configuration (SAML, OAuth, OpenID Connect)

• Understanding of Zero Trust architecture and endpoint hardening

• Scripting knowledge with PowerShell or similar automation tools

• Strong knowledge of log formats and security telemetry

Responsibilities:

• Deploying, configuring, and monitoring Microsoft Defender for Endpoint

• Managing enterprise identity lifecycle using Microsoft Entra ID

• Administering Privileged Access Management (PAM) solutions with CyberArk

• Acting as the main coordinator between internal teams and the corporate SOC

• Optimizing Microsoft Sentinel for security monitoring and incident detection

Experience Requirements:

• Experienced in ML/AI serving optimization (low-latency, batch)

• Experienced in ML/AIOps and monitoring

• Experienced in product development and agile

• Experienced in SQL, Azure, Databricks, Golang, C++, Ray Framework (Preferred)

• Deployed AI/ML production grade for enterprise (Preferred)

Other Requirements:

• Knowledge of traditional machine learning, deep learning, and generative adversarial algorithms

• Understanding of Generative AI prompt engineering techniques

• Proficiency in Python, Torch, Tensorflow, CUDA, and SparkML

• Ability to use Docker, Kubernetes, and Apache Spark

• Hands-on CI/CD workflow for application and Data & AI pipelines

Responsibilities:

• Developing AI services and projects using ML, DL, and GenAI technologies

• Designing and optimizing ML pipeline/serving and GenAI prompts

• Developing AI & Data workflows to support automation processes

• Working closely with cross-functional teams to deliver production grade AI solutions

Education Requirements:

• Bachelor's Degree in Computer Science, Information Systems, Software Engineering, or a related field

• Master's Degree (Preferred) in Data Engineering, Information Management, or Business Analytics

Experience Requirements:

• Expertise in data services of a major cloud provider (AWS, Azure, or Google Cloud)

• Expert-level knowledge of cloud data warehouses (Snowflake, BigQuery, Redshift)

• Experience with workflow orchestration tools (Apache Airflow, Mage, or Dagster)

• Proficiency with distributed data processing frameworks like Apache Spark

• Experience with real-time data streaming (Kafka, Kinesis, Pub/Sub)

Other Requirements:

• Proficiency with Terraform or AWS CloudFormation (IaC)

• Deep understanding of data lake design (S3, ADLS) and Lakehouse architecture

• Strong proficiency in data modeling (Kimball, Inmon, Data Vault)

• Familiarity with data governance tools (Unity catalog, Collibra, Alation)

• Systems thinking and stakeholder management skills

Responsibilities:

• Translating business goals into a coherent data platform strategy

• Creating a long-term architectural vision and roadmap for the data platform

• Designing end-to-end data flows from ingestion to consumption

• Selecting and justifying technology stacks for the data platform

• Designing for scalability, security, reliability, and performance

Benefits:

• Equity included

Experience Requirements:

• Experience is optional and not necessarily required

Other Requirements:

• Deep understanding of the e-commerce ecosystem

• AI-first operator

• Exceptional storytelling skills

• Data-driven mindset

Responsibilities:

• Own and execute LTV.ai's content strategy across social channels

• Ideate, produce, and publish high-velocity content

• Plan and execute breakthrough marketing campaigns

• Leverage AI tools to 10x output

• Collaborate closely with sales, product, and leadership

Benefits:

• Equity included

Education Requirements:

• Recent graduate

Experience Requirements:

• 0-2 years of experience

Other Requirements:

• Founder DNA

• Relentlessly resourceful

• AI-first mindset

• Strong communicator

• Willing to be in-person

Responsibilities:

• Own prospect follow-up and deal management

• Re-engage old prospects with creative outreach

• Support active sales cycles by preparing materials

• Hunt for new leads and identify decision-makers

• Run scrappy growth experiments

Benefits:

• Potential for full-time conversion

Experience Requirements:

• Previous startup experience (as a founder or contributor)

• Some experience with outbound tools (Apollo, Instantly, Clay, etc.)

Other Requirements:

• Strong interest in SaaS, startups, and B2B marketing

• Self-starter mentality

• Clear written communication

• Comfort operating in ambiguity

Responsibilities:

• Work directly with founder on growth strategy

• Improve and scale outbound sales operations

• Optimize inbound channels

• Help build and manage LinkedIn and Twitter presence

• Source and test new growth channels

Benefits:

• Equity included

Experience Requirements:

• 3-5+ years of experience in Business Development, Partnerships, or Strategic Sales

Other Requirements:

• Proven track record of building BD or channel programs from zero

• AI-first operator

• Highly autonomous

• Analytical mindset

• Entrepreneurial DNA

Responsibilities:

• Own new logo acquisition strategy and execution

• Build channel partnerships from scratch

• Develop and iterate on BD playbooks and infrastructure

• Collaborate closely with founder on company priorities

• Work cross-functionally with Sales and Customer Success

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:

• 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 of experience in Customer Success, Account Management, or Solution Consulting

• Hands-on experience working with Banks, Insurance companies, NBFCs, and Fintech clients

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

• Excellent communication, presentation, negotiation, and relationship management

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:

• 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

Experience Requirements:

• 2–5 years of B2B / Enterprise Sales experience

• Prior experience in API, SaaS, or Tech sales

Other Requirements:

• Exposure to Banking, Fintech, NBFC, or Insurance clients

• Strong communication and negotiation skills

Responsibilities:

• Acquire and manage enterprise BFSI & Insurance clients

• Sell API/SaaS solutions through consultative selling

• Manage the end-to-end sales cycle from lead to closure

• Engage with CXOs, Product, Tech, Risk & Compliance teams

• Achieve defined revenue and growth targets

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

Experience Requirements:

• More than 3 years in enterprise sales within a fintech company

Other Requirements:

• Strong understanding of SaaS, API-based fintech solutions, and digital lending

• Well-connected with banking, NBFC, and fintech ecosystem stakeholders

• Excellent negotiation and presentation skills

Responsibilities:

• Drive revenue growth by acquiring and managing large fintech, banking, and NBFC clients

• Develop and nurture long-term relationships with key decision-makers

• Understand client pain points and position Digitap.ai’s solutions effectively

• Stay updated on industry trends, competitor activities, and emerging fintech innovations

• Meet and exceed sales targets and contribute to business expansion

Education Requirements:

• MBA or relevant postgraduate degree

Experience Requirements:

• 6+ years in BFSI Sales / Enterprise Sales (Banking, NBFCs, Fintech, Payments)

Other Requirements:

• Strong understanding of digital lending, KYC, underwriting, or risk management

• Willingness to travel for client meetings as needed

• Ability to work independently in a fast-paced, target-driven environment

Responsibilities:

• Acquire new enterprise clients in Banking, NBFCs, Fintech, and Payments

• Develop strategic sales plans to drive revenue growth in BFSI

• Build C-level relationships with banks and financial institutions

• Position AI-driven onboarding, risk analytics, and fraud prevention solutions

• Manage end-to-end sales cycles – prospecting, pitching, negotiation, and closure