Responsibilities:

• Work with cross-functional project teams to drive software development, test, and release activities

• Identify and prioritize project tasks and risks

• Drive closure on technical issues and development roadblocks to ensure projects meet top level requirements and are delivered on time

• Effectively communicate program risks/status regularly to key stakeholders

• Manage Software, Systems and Manufacturing test execution and reporting

Responsibilities:

• Design and implement real-time applications on ARM processors interfacing with multiple sensors in C++

• Participate in the team's software processes, including: requirements and design documentation, test-plan generation and execution, peer design and code reviews, process feedback and improvements

• Debug complicated issues as they arise during product development

Responsibilities:

• Perform process set-up and optimization, data analysis and interpretation to identify trends, patterns, and potential issues. Perform DFM analysis. Implement improvement in the manufacturing process for yield and product quality.

• Collaborate with hardware engineer and CM to install machine, perform machine/process validation, establish work procedures, and machine calibration and maintenance.

• Collaborate with cross-functional teams, photonic test engineer, manufacturing, IT, and quality assurance, to troubleshoot issues and improve product performance.

• Collaborate with manufacturing to ensure product delivery on time.

• Collaborate with Aeva engineering team and CM to maintain manufacturing execution system (MES) software interfaces to streamline the testing and data collection process.

Experience Requirements:

• Minimum 6 years of development experience, with at least two years as a machine learning engineer.

Responsibilities:

• Lead the translation of advanced research prototypes into scalable, production-grade software.

• Optimize the utilization of machine learning models, implementing techniques such as early stopping and optimization against adversarial attacks.

• Collaborate closely with data scientists to understand research findings and translate them into practical, scalable solutions.

• Design and implement efficient machine learning systems compatible with diverse data types and integrable with technologies like transformers.

• Drive ambitious projects through collaboration with cross-functional teams, ensuring seamless integration of machine learning technologies across our product suite.

Education Requirements:

• Completed a Master's degree in Computer Science, Mathematics, or a related field, with a published paper in a respectable journal or conference.

Experience Requirements:

• at least 3 years of experience working with computer vision models.

Responsibilities:

• Develop your SOTA: Our team is a pioneer in adversarial AI research with numerous studies under our belt. We will guide your research, development, and implementation of state-of-the-art (SOTA) models and techniques.

• Research and Development: Conduct research on adversarial attack and defense techniques for computer vision models. Explore state-of-the-art methods and propose innovative solutions.

• Collaboration: Work closely with team members, participate in brainstorming sessions, and contribute to the team's success.

• Generative Vision: You will help with the research and development of new generative vision pipelines, tackling various modalities and challenges.

Experience Requirements:

• Minimum of 3 years of experience in manual QA or related fields.

• Experience in identifying and documenting bugs, testing web applications, and working with development teams.

Responsibilities:

• Manually test front-end and back-end systems to ensure functionality, performance, and reliability.

• Collaborate daily with the product team and team leader to review, prioritize, and address reported bugs and system issues.

• Identify and document defects, working with developers to ensure timely resolution.

• Perform regression testing to validate that resolved issues remain fixed.

• Contribute to product design reviews by providing input on potential user experience issues or risks.

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.