Benefits:

• Competitive salary, equity, and spot bonuses.

• Paid sick leave.

• Latest MacBook Pro for your work.

• Comprehensive health insurance.

• Paid parental leave.

Experience Requirements:

• 5+ years of experience in backend engineering or a similar role.

• Hand on experience in LLM , NLP

• Proficiency in programming languages such as Java, or Python

• Strong experience with database management systems (e.g., PostgreSQL, MongoDB) and data modeling.

• Familiarity with cloud services (e.g., AWS, Azure, GCP) and microservices architecture.

Other Requirements:

• Excellent problem-solving skills and the ability to communicate complex technical concepts effectively to diverse stakeholders.

• A collaborative mindset and a passion for innovation, with a proven track record of delivering high-quality projects.

Responsibilities:

• Lead the design, development, and maintenance of scalable backend systems and APIs that support our AI-driven platform.

• Collaborate with cross-functional teams to ensure seamless integration of backend services with frontend applications.

• Optimize system performance, reliability, and scalability through best practices and innovative solutions.

• Troubleshoot complex issues and implement solutions to improve application functionality and user experience.

• Mentor junior engineers, fostering a culture of knowledge sharing and continuous improvement.

Benefits:

• Competitive salary, equity, and spot bonuses.

• Paid sick leave.

• Latest MacBook Pro for your work.

• Comprehensive health insurance.

• Paid parental leave.

Experience Requirements:

• Minimum 10 years of professional experience in backend development.

• Min 4 year in AI NLP or ML hand on experience is required

• Expertise in one of the following programming languages: Java, Python, or Golang.

• Proven experience in building and maintaining distributed systems at scale.

• Familiarity with at least one major cloud platform (Azure, AWS, or GCP).

Other Requirements:

• Strong understanding of system design, architecture patterns, and data structures.

• Experience with relational and NoSQL databases.

• Proficiency in developing RESTful APIs and microservices.

• Solid understanding of security best practices and performance optimization.

• Excellent problem-solving and debugging skills.

• Strong communication and collaboration skills.

Responsibilities:

• Design, implement, and maintain scalable backend systems.

• Develop and optimize distributed systems capable of handling large-scale traffic and data.

• Lead the architecture and design of critical components and systems.

• Write clean, maintainable, and efficient code

• Collaborate with product managers, frontend engineers, and other stakeholders to deliver end-to-end solutions.

Benefits:

• Competitive salary, equity, and spot bonuses.

• Paid sick leave.

• Latest MacBook Pro for your work.

• Comprehensive health insurance.

• Paid parental leave.

Experience Requirements:

• Minimum 10 years of experience in data science, with a focus on NLP , LLM and unstructured data processing.

• Proven track record of launching NLP-driven products to live users.

• Expertise in Python and standard libraries such as PyTorch, NLTK, and Scikit-learn.

• Experience with Transformer-based models (e.g., BERT, RAG,GPT ).

• Strong experience with one or more cloud platforms (Azure, GCP, AWS) for hosting and deploying AI/ML products.

Other Requirements:

• Familiarity with data engineering pipelines and best practices.

• Proficiency in SQL for analytics and data manipulation.

• Excellent problem-solving skills and ability to work with large-scale datasets.

• Strong interpersonal and communication skills, with the ability to mentor team members and interact with customers effectively.

Responsibilities:

• Lead the development and deployment of NLP-based solutions to process and analyze unstructured data at scale.

• Design, train, and optimize machine learning models using libraries such as PyTorch, NLTK, and Scikit-learn.

• Architect and deploy AI/ML products on cloud platforms like Azure, GCP, or AWS.

• Collaborate with data engineering teams to ensure seamless integration of AI models into production systems.

• Perform advanced SQL analytics to extract actionable insights from structured datasets.

Benefits:

• Competitive salary, equity, and spot bonuses.

• Paid sick leave.

• Latest MacBook Pro for your work.

• Comprehensive health insurance.

• Paid parental leave.

Experience Requirements:

• 6+ experience as a Data Scientist, with a focus on AI-driven environments.

• Expertise in data manipulation and analysis tools (e.g., Python, R, SQL).

• Extensive experience with machine learning frameworks and algorithms.

• Strong familiarity with both structured and unstructured data sources.

Other Requirements:

• Excellent problem-solving skills and the ability to communicate complex concepts effectively to non-technical stakeholders.

• A collaborative mindset and a passion for innovation, with a proven track record of leading projects to success.

Responsibilities:

• Development and implementation of advanced data models to extract insights from complex datasets.

• Collaborate with cross-functional teams to devise data-driven solutions for service optimization.

• Conduct experiments and analyses to enhance service predictions and outcomes.

• Present findings and actionable recommendations to stakeholders, translating complex data insights into clear, understandable concepts.

• Mentor junior data scientists and foster a collaborative team environment.

Benefits:

• Competitive salary, equity, and spot bonuses.

• Paid sick leave.

• Latest MacBook Pro for your work.

• Comprehensive health insurance.

• Paid parental leave.

Experience Requirements:

• 4+ years of experience in data engineering, with a focus on building large-scale data systems. In-depth knowledge of ELT processes and Lakehouse architecture.

• Data Pipelines: Expertise in Python and Scala for data pipeline development. Proven experience with Apache Spark and Databricks for big data processing and analytics.

• Hands-on experience with observability tools like Prometheus, Grafana, and ELK stack/OpenSearch.

• Experience with real-time streaming systems such as Kafka and Flink.

• Experience in working with large datasets and high-throughput data environments.

Other Requirements:

• Familiarity with cloud platforms like Azure, GCP, or AWS.

• Strong problem-solving skills and ability to work in fast-paced environments.

• Excellent communication and collaboration skills.

Responsibilities:

• Development and implementation of advanced data models to extract insights from complex datasets.

• Collaborate with cross-functional teams to devise data-driven solutions for service optimization.

• Conduct experiments and analyses to enhance service predictions and outcomes.

• Present findings and actionable recommendations to stakeholders, translating complex data insights into clear, understandable concepts.

• Mentor junior data scientists and foster a collaborative team environment.

Benefits:

• Competitive salary, equity, and spot bonuses.

• Paid sick leave.

• Latest MacBook Pro for your work.

• Comprehensive health insurance.

• Paid parental leave.

Experience Requirements:

• Minimum 10 years of experience in data science, with a focus on NLP and unstructured data processing.

• Proven track record of launching NLP-driven products to live users.

• Expertise in Python and standard libraries such as PyTorch, NLTK, and Scikit-learn.

• Experience with Transformer-based models (e.g., BERT, GPT).

• Strong experience with one or more cloud platforms (Azure, GCP, AWS) for hosting and deploying AI/ML products.

Other Requirements:

• Familiarity with data engineering pipelines and best practices.

• Proficiency in SQL for analytics and data manipulation.

• Excellent problem-solving skills and ability to work with large-scale datasets.

• Hands on experience in deployment

• Strong interpersonal and communication skills, with the ability to mentor team members and interact with customers effectively.

Responsibilities:

• Lead the development and deployment of NLP-based solutions to process and analyze unstructured data at scale.

• Design, train, and optimize machine learning models using libraries such as PyTorch, NLTK, and Scikit-learn.

• Architect and deploy AI/ML products on cloud platforms like Azure, GCP, or AWS.

• Collaborate with data engineering teams to ensure seamless integration of AI models into production systems.

• Perform advanced SQL analytics to extract actionable insights from structured datasets.

Benefits:

• Competitive salary, equity, and spot bonuses.

• Paid sick leave.

• Latest MacBook Pro for your work.

• Comprehensive health insurance.

• Paid parental leave.

Education Requirements:

• A Bachelor’s degree (or higher)

• Strong curiosity about how people think, express themselves, and how to distill, clarify, and label that information for AI and machine learning [applications](http://applications.Excellent).

Other Requirements:

• Excellent Communication Skills: Strong ability to communicate complex technical information clearly and concisely, both written and verbal.

• Technical Document Comprehension: Ability to read and understand technical documents, and annotate them with precision.

• Graph & Flowchart Creation: Hands-on experience in creating graphs, charts, and flowcharts to visualize technical data.

• Attention to Detail: A keen eye for ensuring accuracy in data annotation and visualization.

• Technical Aptitude: Comfortable working with technical information and turning it into easily understandable visuals.

• Flexible Working Hours: Availability to work flexible hours, primarily in the PST time zone.

• Immediate Availability: Must be able to start immediately and commit to the full 6-month contract.

Responsibilities:

• Document Review & Annotation: Thoroughly analyze technical documents, and accurately annotate key information and data points.

• Graph & Flowchart Creation: Translate complex technical specifications into clear and concise graphs and flowcharts, ensuring accuracy and clarity.

• Data Visualization: Develop graphs, charts, and other visual data representations to support documentation and aid in understanding.

• Collaboration: Work closely with technical teams to ensure correct representation of data and processes.

• Quality Control: Ensure all annotations and visual elements meet accuracy standards and align with the original documentation.

Experience Requirements:

• 2 – 5 years of experience

Responsibilities:

• Develop new user-facing features

• Build reusable code and libraries for future use

• Ensure the technical feasibility of UI/UX designs

• Optimize application for maximum speed and scalability

• Assure that all user input is validated before submitting it to the back-end Skills: MongoDB, Express, React.js and NodeJS (Node.js)

Education Requirements:

• Any graduate or master’s degree in science, engineering or technology

Experience Requirements:

• 3+ years of experience in Compliance, Security, or IT Audit experience

• Total experience of 6-8 years

Responsibilities:

• Support business teams to achieve and maintain their security and compliance posture in accordance with ISO 27001, GDPR, HIPAA, Data Privacy, etc

• Validate ongoing compliance of policies and process/procedures in support of requirements and ensure that controls are operating effectively

• Prepare responses to client questionnaires and RFPs on information security, compliance and data privacy related areas.

• Provide support and clarity to customers and users of the information and cyber-security policy framework answering related questions and challenges as they arise

• Interface and engage both management and other functions in organization on information security compliance related activities and processes Lead the effective publication of policy materials and documents Risk Management Present and report regularly infosec dashboard to management and stakeholders Assist with the development of technical security risk and compliance documentation Document and Communicate status and compliance effectiveness to management on a regular basis Conduct regular internal audits on information security Manage external audits from customers, stakeholders and regulatory agencies Maintain and manage ISMS related documents, reports, and artefacts Coordinates the issuance of access control and drive change management activities Manage vendor and third-party due diligence documentation Internal consultant for IT domain leads, administrators for security infrastructure, and assisting them to implement security devices configuration controls for firewalls, Internet connectivity, Proxies, IPS and router etc

Benefits:

• Competitive salary and benefits package.

• Culture focused on talent development, with quarterly promotion cycles and company-sponsored higher education and certifications.

• Opportunity to work with cutting-edge technologies.

• Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards.

• Annual health check-ups.

Experience Requirements:

• 8+ years of hands-on experience with PySpark and strong knowledge in Python programming language.

Responsibilities:

• Strong proficiency in developing data solutions using Python (OOP).

• Solid understanding of distributed computing concepts and hands-on experience with PySpark.

• Familiarity with PySpark performance tuning will be an added advantage.

• Familiarity with data warehousing solutions and best practices.

• Proficient in SQL with the ability to optimize queries for performance & proficient in database management and data modelling.

Education Requirements:

• Ph.D. in Computer Science

Experience Requirements:

• at least eight years of relevant, full-time industry experience

Responsibilities:

• Lead and contribute to groundbreaking research in Generative AI, focusing on natural language understanding, dialogue generation, and context-aware conversational systems

• Develop novel algorithms and models for enhancing the performance and intelligence of our conversational AI platform

• Train and fine-tune large-scale deep learning models for natural language processing and dialogue generation

• Collaborate with cross-functional teams, including machine learning engineers, software developers, and product managers, to integrate research findings into our products and solutions

• Provide mentorship and guidance to junior researchers and engineers, fostering a culture of learning and innovation

Education Requirements:

• Masters / Bachelor’s degree or relevant field is preferred

Experience Requirements:

• 5+ years of experience in relevant field.

Responsibilities:

• Coordinate office activities and operations to secure efficiency and compliance to company policies

• Supervise administrative staff and divide responsibilities to ensure performance

• Manage agendas/travel arrangements/appointments etc. for the upper management

• Manage phone calls and correspondence (e-mail, letters, packages etc.)

• Support budgeting and bookkeeping procedures

Education Requirements:

• Bachelor's degree.

Experience Requirements:

• Up to 2 years of customer support or relationship management experience, preferably in SaaS or fintech.

Responsibilities:

• Onboarding: Guide new clients through the onboarding process, ensuring a seamless transition onto our platform.

• Relationship Management: Foster strong, enduring relationships with clients, addressing inquiries and escalations promptly.

• Support: Provide timely and effective support via email, resolving technical issues.

• Feedback: Gather and relay customer feedback to internal teams, advocating for enhancements.

Education Requirements:

• Bachelors degree in Business, Finance, Marketing, or a related field from Tier 1 institution. Post Graduates will get higher weightage.

Experience Requirements:

• 1-3 years of experience in a Sales Analyst, Business Analyst, or related role.

Responsibilities:

• Sales Reporting & Analysis: Track, analyze, and report sales performance metrics to improve sales team efficiency.

• Presentation & Insights: Create compelling sales presentations, dashboards, and reports for leadership and stakeholders.

• Competitive Market Research: Conduct in-depth research on competitors, industry trends, and market dynamics to identify growth opportunities.

• Sales Team Support: Provide data-driven insights and support to optimize sales strategies, pipeline management, and business development efforts.

Education Requirements:

• MBA required, preferably from Tier I institute.

Experience Requirements:

• 4-6 years’ direct selling experience in Technology Products/ Services / Solutions primarily in B2B environment

• 2+ years SaaS experience preferred

Responsibilities:

• Be the first contact point for any new leads. Effectively, also the face of the company. So excellent written and spoken communication skills are a must.

• Be primarily responsible to open new accounts and sustain strategic customer relationships by selling Digitap.ai’s complete portfolio of solutions.

• Deliver on the tactical sales plans, following up new business opportunities and setting up meetings and product demos as necessary.

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

• Will carry a sales target and we expect you to hit target as often as possible • Act as a bridge between customers and the product team when it comes to feedback and product customizations.

Experience Requirements:

• 2-5 years of hands-on experience in Governance, Risk, and Compliance (GRC) roles.

Responsibilities:

• - Compliance & Regulatory Oversight: Ensure compliance with applicable laws and regulations, such as RBI/SEBI cybersecurity guidelines, GDPR, and other - local and international frameworks.

• - Risk Management: Assist in conducting risk assessments to identify, evaluate, and prioritize risks related to information security and business operations.

• - Audit Support: Support internal and external audits by preparing documentation, coordinating audit activities, and ensuring compliance with cybersecurity policies and standards.

• - Cybersecurity Program Management: Work closely with IT, legal, and other stakeholders to integrate cybersecurity risk management into business processes, ensuring alignment with organizational goals.

Education Requirements:

• Bachelor's/Master's degree in Computer Science, Engineering, or a related field.(minimum 4 years of degree).

Experience Requirements:

• 2-4 years of professional experience in backend development using Python.

Responsibilities:

• - Design, develop, and maintain scalable and efficient backend systems using Python and related technologies.

• - Collaborate with other developers, product managers, and stakeholders to understand requirements and translate them into technical solutions.

• - Implement and maintain RESTful APIs for seamless integration with frontend applications and third-party services.

• - Optimize application performance and scalability through code refactoring, database optimization, and other best practices.

Experience Requirements:

• 3+ years of hands-on experience in Computer Vision and deep learning, particularly in object detection and image classification.

Responsibilities:

• Lead Computer Vision Initiatives: Develop and deploy advanced computer vision models for tasks such as object detection, image classification, data extraction, and image quality assessment.

• Drive Innovation in Core-ML Projects: Work on critical machine learning projects, including Credit Risk Modeling and Scorecard Development, ensuring robust and scalable solutions.

• Data Exploration and Analysis: Explore and analyse unstructured data, particularly images, using advanced image processing techniques.

• Model Research and Development: Collaborate with the data science team to research, develop, evaluate, and optimise deep learning models tailored to solve specific business problems.

Experience Requirements:

• 5-7 years experience in NLP, Machine Learning, Deep Learning, Python, Computer Vision & 1-2 years exp in Gen AI.

Experience Requirements:

• minimum of 5+ years of hands-on experience in Data Analytics & Supply Chain.