Experience Requirements:

• Substantial experience (6+ years) in software development, including python ML technologies and backend technologies.

• Proven ability to transform complex research and algorithms into scalable, market-ready solutions.

Responsibilities:

• Lead, grow, mentor, and manage a team of talented software engineers, ensuring the delivery of high-quality features and products.

• Develop and maintain both the back-end and front-end of DeepKeep’s core applications, contributing as a hands-on developer for 50%-70% of your time.

• Translate advanced research prototypes into scalable, production-grade software, optimizing machine learning models for performance and security (e.g., early stopping, adversarial attack defenses).

• Work closely with cross-functional teams including data scientists, product managers, and machine learning engineers to ensure smooth integration of ML technologies.

• Drive technical excellence and innovation, optimizing distributed AWS systems, serverless architectures, and upholding best practices in code quality.

Education Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field; advanced degree in AI or cybersecurity is a plus.

Experience Requirements:

• Minimum of 5 years of experience in product management, with a focus on AI, machine learning.

• Minimum of 5 years of experience in software development/ systems engineering.

Responsibilities:

• Define product vision and strategy for the company's AI Security product line, in alignment with the company's overall goals and objectives.

• Collaborate with cross-functional teams, including engineering, design, and data science, to develop and launch innovative products and features.

• Conduct market research and competitor analysis to identify trends, opportunities, and threats in the AI domain.

• Create and maintain product roadmaps, prioritizing features and enhancements based on business value, customer needs, and technical feasibility.

• Develop and manage the product backlog, working closely with the engineering team to ensure timely and efficient execution of product initiatives.

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.

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:

• 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.

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.

Benefits:

• Competitive Salary and Equity

• Comprehensive Insurance

• Flexible Time Off

• Paid Parental and Family Leave

Benefits:

• Competitive Salary and Equity

• Comprehensive Insurance

• Flexible Time Off

• Paid Parental and Family Leave

Benefits:

• Competitive Salary and Equity

• Comprehensive Insurance

• Flexible Time Off

• Paid Parental and Family Leave

Benefits:

• Competitive Salary and Equity

• Comprehensive Insurance

• Flexible Time Off

• Paid Parental and Family Leave

Benefits:

• Full insurance benefits including medical, dental, vision, and life insurance for you and your dependants

• 401k plan with employer matching

• Flexible PTO and employees are encouraged to take time off to recharge

• Flexible working hours

• Parental leave

Education Requirements:

• PhD or equivalent research experience

Other Requirements:

• Strong background in CV, ML, AI, computer science, engineering or related fields

• Track record of applied research in computer vision

Responsibilities:

• Research and develop algorithms for computer vision-based problems including scene understanding and anomaly detection

• Develop performance and quality metrics for ML models and systems

• Collaborate with software engineers and product owners on system architecture, design and production code, especially where ML models are used

• Keep up to date with state of the art in ML and CV

• Mentor younger scientists

Benefits:

• Full insurance benefits including medical, dental, vision, and life insurance for you and your dependants

• 401k plan with employer matching

• Flexible PTO and employees are encouraged to take time off to recharge

• Flexible working hours

• Parental leave

Experience Requirements:

• 3-5 years of customer-facing B2B technical sales experience

Other Requirements:

• Passion for computer vision AI

• Exceptional oral and written communication skills

• Stellar time management and organizational skills

• Resourcefulness and results driven

• Highly collaborative

Responsibilities:

• Deliver on sales growth goals by researching, prospecting, and leading customer discovery, qualifying leads and generating new revenue streams.

• Schedule customer discovery calls and work in close partnership with product and engineering to deliver tailor-made solutions for key accounts

• Develop and deliver sales pitch decks and collateral that accurately conveys the products’ features, benefits, and value proposition across verticals. Maintain updated sales collateral and pipeline documentation

• Research and build new and existing accounts through rigorous follow up communication across channels. Develop and nurture cadence for key sales opportunities.

• Exercise exceptional communication skills collaborating directly with customers, cross-functional teams, and key stakeholders and influencers. Establish and cultivate great relationships with key influencers for opportunities of all sizes.

Benefits:

• Full insurance benefits including medical, dental, vision, and life insurance for you and your dependants

• 401k plan with employer matching

• Flexible PTO and employees are encouraged to take time off to recharge

• Flexible working hours

• Parental leave

Experience Requirements:

• 5+ years of production/cloud software engineering experience

Other Requirements:

• Proven experience in collaborating with cross-functional teams, including ML scientists and engineers, to develop scalable ML models in production environments.

• Experience with cloud-based ML services (AWS, GCP, etc.), edge computing, and GPU farm management.

• Solid understanding of data science pipelines, model training, and real-time inference systems.

• Passion for working in a fast-paced, collaborative environment with the latest advancements in AI technology.

Responsibilities:

• Design, develop, optimize, and maintain machine learning models for various systems, including front-end integration, back-end services, edge devices, and cloud-based inference and training systems.

• Collaborate closely with our ML scientists and product owners to translate functional requirements into detailed ML engineering plans and implement them in production systems.

• Develop analytics, monitoring tools, and pipelines for data preprocessing, feature engineering, model training, and deployment.

• Participate in on-call rotation to maintain production ML systems, troubleshoot models, and resolve customer issues related to AI performance.

• Stay at the cutting edge of AI technology, experimenting and pushing the boundaries of what's possible with the latest ML frameworks and tools.

Benefits:

• Full insurance benefits including medical, dental, vision, and life insurance for you and your dependants

• 401k plan with employer matching

• Flexible PTO and employees are encouraged to take time off to recharge

• Flexible working hours

• Parental leave

Other Requirements:

• Open-minded and excited to talk shop with people building all kinds of applications.

• Having fun pushing the boundaries of what is possible with machine learning and computer vision.

Responsibilities:

• Building and fostering community around our API and SDK in a scalable way that aligns with our business goals.

• Creating and delivering clear and accessible technical content, documentation, and demos that showcase our capabilities.

• Creating and managing scalable programs to engage and support developers, including hackathons and workshops.

• Closing the loop on feedback between external developers and our product team.

• Collaborating with our marketing team to create content that resonates with developers.

Benefits:

• Full insurance benefits including medical, dental, vision, and life insurance for you and your dependants

• 401k plan with employer matching

• Flexible PTO and employees are encouraged to take time off to recharge

• Flexible working hours

• Parental leave

Experience Requirements:

• Proven track record in AI or software development projects with a strong portfolio of successful implementations.

Other Requirements:

• Excellent problem-solving skills with an ability to think strategically about customer needs.

• Strong interpersonal and communication skills, with experience in customer-facing roles.

• Ability to translate complex technical details into clear, actionable insights for customers.

Responsibilities:

• Lead the development and implementation of AI-driven solutions, ensuring they align with both technical excellence and customer objectives.

• Act as a technical consultant, understanding customer's needs and translating them into actionable AI strategies.

• Collaborate with cross-functional teams to enhance product offerings and ensure customer satisfaction.

• Serve as a key technical liaison between Groundlight AI and its customers, providing insights and feedback to guide product development.

• Develop and curate engaging content that demonstrates the capabilities of Groundlight’s technologies, including writing blog posts and creating example applications. This will showcase real-world applications and benefits of our AI-driven solutions, helping to educate and inspire both current and prospective customers.

Experience Requirements:

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

Experience Requirements:

• 6-9 years experience in Proficiency in Appian BPM, including SAIL forms, dashboards, and reports.

Experience Requirements:

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