Account Executive

About NonStop io Technologies

NonStop io Technologies is a value-driven company with a strong focus on process-oriented software engineering. We specialize in Product Development and have a decade's worth of experience in building web and mobile applications across various domains. NonStop io Technologies follows core principles that guide its operations and believes in staying invested in a product's vision for the long term. We are a small but proud group of individuals who believe in the 'givers gain' philosophy and strive to provide value in order to seek value. We are committed to and specialize in building cutting-edge technology products and serving as trusted technology partners for startups and enterprises. We pride ourselves on fostering innovation, learning, and community engagement. Join us to work on impactful projects in a collaborative and vibrant environment.

Brief Description:

We're seeking an AI/ML Engineer to join our team. As AI/ML Engineer, you will be responsible for designing, developing, and implementing artificial intelligence (AI) and machine learning (ML) solutions to solve real-world business problems. You will work closely with engineering teams, including software engineers, domain experts, and product managers, to deploy and integrate Applied AI/ML solutions into the products that are being built at NonStop io. Your role will involve researching cutting-edge algorithms and data processing techniques, and implementing scalable solutions to drive innovation and improve the overall user experience.

Responsibilities

● Applied AI/ML engineering; Building engineering solutions on top of the AI/ML tooling available in the industry today. Eg: Engineering APIs around OpenAI

● AI/ML Model Development: Design, develop, and implement machine learning models and algorithms that address specific business challenges, such as natural language processing, computer vision, recommendation systems, anomaly detection, etc.

● Data Preprocessing and Feature Engineering: Cleanse, preprocess, and transform raw data into suitable formats for training and testing AI/ML models. Perform feature engineering to extract relevant features from the data

● Model Training and Evaluation: Train and validate AI/ML models using diverse datasets to achieve optimal performance. Employ appropriate evaluation metrics to assess model accuracy, precision, recall, and other relevant metrics

● Data Visualization: Create clear and insightful data visualizations to aid in understanding data patterns, model behaviour, and performance metrics

● Deployment and Integration: Collaborate with software engineers and DevOps teams to deploy AI/ML models into production environments and integrate them into various applications and systems

● Data Security and Privacy: Ensure compliance with data privacy regulations and implement security measures to protect sensitive information used in AI/ML processes

● Continuous Learning: Stay updated with the latest advancements in AI/ML research, tools, and technologies, and apply them to improve existing models and develop novel solutions

● Documentation: Maintain detailed documentation of the AI/ML development process, including code, models, algorithms, and methodologies for easy understanding and future reference.

Qualifications & Skills

● Bachelor's, Master's, or PhD in Computer Science, Data Science, Machine Learning, or a related field. Advanced degrees or certifications in AI/ML are a plus

● Proven experience as an AI/ML Engineer, Data Scientist, or related role, ideally with a strong portfolio of AI/ML projects

● Proficiency in programming languages commonly used for AI/ML. Preferably Python

● Familiarity with popular AI/ML libraries and frameworks, such as TensorFlow, PyTorch, scikit-learn, etc.

● Familiarity with popular AI/ML Models such as GPT3, GPT4, Llama2, BERT etc.

● Strong understanding of machine learning algorithms, statistics, and data structures

● Experience with data preprocessing, data wrangling, and feature engineering

● Knowledge of deep learning architectures, neural networks, and transfer learning

● Familiarity with cloud platforms and services (e.g., AWS, Azure, Google Cloud) for scalable AI/ML deployment

● Solid understanding of software engineering principles and best practices for writing maintainable and scalable code

● Excellent analytical and problem-solving skills, with the ability to think critically and propose innovative solutions

● Effective communication skills to collaborate with cross-functional teams and present complex technical concepts to non-technical stakeholders

Strong Lead generation & Qualification Profile with B2B SaaS Experience

Mandatory (Experience 1): 6 months of experience in generating new leads and prospecting them for B2B SaaS products (can consider Internship experience as well)

Mandatory (Experience 2): Must have experience of lead generation using channels like email, cold calling, Linkedin etc

Mandatory (Experience 3): Must have experience of prospecting/qualify leads by enriching data using tools like Apollo, ZoomInfo, Tracxn, Clay, Sales Navigator etc

Mandatory (Core Skills): Experience using CRM tools like HubSpot, Salesforce, Zoho CRM, Lead squared etc

Mandatory (Company): Early Stage B2B SaaS Companies (ed tech will also work)

Mandatory (Education): Must have graduated in 2019 or later

Mandatory (Age): Must not be older than 29 years.

Responsibilities & Duties:

Making Call to Customers, Maintaining the Database, Online Sales

Maintain a relations with the existing clients and ask to upgrade their packages or renewals

Prepare and follow up on sales quotations made to clients.

Will be responsible for client retention, per client revenue optimization & renewals.

Handle `client queries/escalations.

Should have effective sales & negotiation ability.

Interacting with vendors for product upload in their respective Domain.

Manage and create product listing and another day to day activities on portal

Improve Customer perception and product-wise market share, a good understanding of technical and market feasibility of the product.

Required Experience, Skills and Qualifications

Experience: Minimum 6 Months in Online and Concept Sales

Skills: Proficient Written & Verbal Communication Skills in English

Qualifications: Any Graduate

Must have laptop

Key Skills Required:

Primary Skills:

o COBOL

o JCL (Job Control Language)

o VSAM (Virtual Storage Access Method)

Job Responsibilities:

 Design, develop, test, and maintain mainframe applications using COBOL, JCL, and VSAM.

 Perform impact analysis, troubleshooting, and performance tuning.

 Collaborate with cross-functional teams to understand business requirements and translate

them into technical solutions.

 Ensure adherence to coding standards and participate in code reviews.

 Work independently on tasks with minimal supervision and deliver high-quality code within

deadlines.

Eligibility Criteria:

 Minimum 5 years of hands-on experience in mainframe development.

 Strong problem-solving and debugging skills.

 Good communication and team collaboration abilities.

 Willingness to work from the Pune office.

Interview Mode:

Weekend Drive – Virtual Interviews scheduled for 28th & 29th June

The Head - Artificial Intelligence & Embedded Systems plays a pivotal role in leading the labs strategic vision and operational excellence, fostering a culture of innovation and "learning by doing" among students. This individual is responsible for setting the labs strategic direction, managing a team of stream leaders, and ensuring the labs success in bridging the gap between academia and industry. As a thought leader and brand ambassador, the Head of the lab promotes the labs focus areas both internally and externally, embodying the qualities of leadership and innovation that inspire students and staff alike.

Key Responsibilities:

 Vision and Strategy:

 Develop and communicate a clear vision for the Innovation Labs, aligning with the institution’s strategic objectives.

 Set strategic goals for the lab, including defining key areas of focus, innovation strategies, and research priorities.

 Ensure the labs activities contribute to the broader academic and research missions of the institution.

 Leadership and Management:

 Lead and manage a team of stream leaders, fostering an environment of collaboration, innovation, and excellence.

 Drive a culture of "learning by doing", encouraging students and mentors to engage in hands-on, experiential learning. Impact key outcomes like placements, hackathon wins, patents etc.

 Oversee the labs operations, ensuring resources are effectively allocated and managed to support its goals.

 Ensure that the academia-innovation labs gap is bridged. 

 Innovation Lab - Industry Interface:

 Build and maintain strong relationships with industry partners, facilitating collaborations that enhance the labs research and innovation projects.

 Serve as a key liaison between the lab and academic departments, promoting interdisciplinary industry relevant research and learning opportunities.

 Lead initiatives to secure funding, sponsorship, and partnerships that support the labs activities and growth.

 Brand Ambassador and Thought Leadership:

 Act as a brand ambassador and thought leader, representing the Innovation Labs at conferences, seminars, and public forums.

 Promote the labs achievements and projects through various channels, enhancing its reputation and visibility.

 Foster a network of alumni, industry leaders, and academic peers to support and engage

with the labs work.

 Mentorship and Role Modeling:

 Serve as a mentor and role model for students and mentors, inspiring them to pursue innovation and excellence.

 Encourage the development of leadership skills among lab members, particularly stream leaders and emerging talents.

 Support a learning environment that values diversity, inclusivity, and personal growth.

Skills and Qualifications:

 Advanced degree in a relevant field (e.g., Engineering, Computer Science, Business

Administration) or equivalent experience in innovation management.

 Proven leadership experience in managing research or innovation labs, particularly in an academic or similar setting.

 Deep technical expertise in AI/ML and/or embedded systems with a passion for continuous learning.

 Strong strategic thinking and planning skills, with the ability to translate vision into actionable plans.

 Excellent relationship-building skills, with experience in academia-industry partnerships.

 Demonstrated success in securing funding, sponsorships, or partnerships.

 Exceptional communication and public speaking skills, capable of engaging a wide range of audiences.

 Deep understanding of the latest trends and technologies in areas relevant to the labs focus.

Job Location: Coimbatore, Tamil Nadu

Pay Scale: As per norms

• You will work on long-term React Native mobile applications for innovative startups.
• Together with your colleagues and our clients you will analyse requirements and envision a qualitative solution. You will be responsible for the entire development - from architecture to implementation - and deliver user-friendly, performant and well-tested mobile applications.
• You will be part of our continuous improvement culture, hone your skills and share your experience with your colleagues.

• You have at least 3-year experience implementing and deploying React Native apps.
• You developed and published at least one React Native app on Google and Apple Store.
• You are familiar with Google and Apple Store guidelines and compliance.
• You can build pixel-perfect UIs for all mobile platforms.
• You have strong knowledge of Javascript ES6 and higher.
• You know how to make a solid relational data model and have a good knowledge of SQL.
• You have integrated a variety of web API's and understand HTTP.
• You know how to write clean and flexible object-oriented code.
• You have a good understanding of async programming concepts.
• You work daily with tools like Git, NPM and a proper IDE (Webstorm).
• You can deliver POCs, experiments and technology evaluations following design thinking practices.
• You will be contributing towards architecting and building React Native applications, as well as coordinating with the teams responsible for other layers of the product/project infrastructure.
• You write clean code and are a pragmatic programmer.

• You wish Typescript was the default language of the web.
• You stepped outside the Expo world and have experience with native iOS or Android development. You are familiar with XCode and Android studio, and leverage native APIs for deep integration with Android and iOS.
• You have experience with state management libraries like MobX and Redux.
• You write automated tests and perform end-to-end testing with Detox or Appium.
• You are familiar with functional programming concepts and apply it occasionally.
• You worked with other hybrid mobile platforms like Sencha, HTML5, PhoneGap, etc.
• You have experience with Scrum and Lean methodology