Senior Software Engineer

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

FactWise is a fully funded, early-stage startup building b2b SaaS for a global SMB client base. Our team has alumni from MIT, Stanford, GeorgiaTech, UCL, the IITs, VJTI, Amazon and McKinsey, and currently comprises frontend, backend, full stack developers, UI/UX engineers, product managers, data scientist, and Ops, HR, Marketing. We'd love to get to know you better!

As a member of the development group, you will be primarily responsible for the design, development, and maintenance of the product:  

• Help define and create full stack architecture and deployment using React- Django-AWS in an agile environment with lots of ownership and active mentoring. 
• Work with the Product and Design teams to build new features to solve business problems and fill business needs 
• Participate in code reviews to create robust and maintainable code 
• Work in an agile environment where quick iterations and good feedback are a way of life 
• Interact with other stakeholders for requirement, design discussions and for adoption of new features 
• Communicate and coordinate with our support and professional services teams to solve customer issues. 
• Help scale our platform as we expand our product across various markets and verticals globally. 

As a young startup, we are hoping to be joined by self-starting, hardworking, passionate individuals who are committed to delivering their best, who can grow into future leaders of FactWise. 

Job Description:

Position: Python Technical Architect

Major Responsibilities:

●           Develop and customize solutions, including workflows, Workviews, and application integrations.

●           Integrate with other enterprise applications and systems.

●           Perform system upgrades and migrations to ensure optimal performance.

●           Troubleshoot and resolve issues related to applications and workflows using Diagnostic console.

●           Ensure data integrity and security within the system.

●           Maintain documentation for system configurations, workflows, and processes.

●           Stay updated on best practices, new features and industry trends.

●           Hands-on in Waterfall & Agile Scrum methodology.

●           Working on software issues and specifications and performing Design/Code Review(s).

●           Engaging in the assignment of work to the development team resources, ensuring effective transition of knowledge, design assumptions and development expectations.

●           Ability to mentor developers and lead cross-functional technical teams.

●           Collaborate with stakeholders to gather requirements and translate them into technical specifications for effective workflow/Workview design.

●           Assist in the training of end-users and provide support as needed

●           Contributing to the organizational values by actively working with agile development teams, methodologies, and toolsets.

●           Driving concise, structured, and effective communication with peers and clients.

Key Capabilities and Competencies Knowledge

●           Proven experience as a Software Architect or Technical Project Manager with architectural responsibilities.

●           Strong proficiency in Python and relevant frameworks (Django, Flask, FastAPI).

●           Strong understanding of software development lifecycle (SDLC), agile methodologies (Scrum, Kanban) and DevOps practices.

●           Expertise in Azure cloud ecosystem and architecture design patterns.

●           Familiarity with Azure DevOps, CI/CD pipelines, monitoring and logging.

●           Experience with RESTful APIs, microservices architecture and asynchronous processing.

●           Deep understanding of insurance domain processes such as claims management, policy administration etc.

●           Experience in database design and data modelling with SQL(MySQL) and NoSQL(Azure Cosmos DB).

●           Knowledge of security best practices including data encryption, API security and compliance standards.

●           Knowledge of SAST and DAST security tools is a plus.

●           Strong documentation skill for articulating architecture decisions and technical concepts to stakeholders.

●           Experience with system integration using middleware or web services.

●           Server Load Balancing, Planning, configuration, maintenance and administration of the Server Systems.

●           Experience with developing reusable assets such as prototypes, solution designs, documentation and other materials that contribute to department efficiency.

●           Highly cognizant of the DevOps approach like ensuring basic security measures.

●           Technical writing skills, strong networking, and communication style with the ability to formulate professional emails, presentations, and documents.

●           Passion for technology trends in the insurance industry and emerging technology space.

Qualification and Experience

●           Recognized with a Bachelor’s degree in Computer Science, Information Technology, or equivalent.

●           Work experience - Overall experience 10-12 years

●           Recognizable domain knowledge and awareness of basic insurance and regulatory frameworks.

●           Previous experience working in the insurance industry (AINS Certification is a plus).

• 4+ years exp with solid backend/engineering experience.
• Knowledge of data structures and an eye for architecture.
• Solid CS fundamentals, fluent in multi-threaded and asynchronous programming, a strong inclination for architecting at scale.
• Excellent technical design, problem-solving, debugging, and communication skills.
• Rapid prototyping worked on distributed systems at scale.
• Basic knowledge of SQL as well as NoSQL databases.
• Proficient in Golang, it's design, and concurrency patterns.

1. Experience in HTML, CSS and Bootstrap library is required.
2. Experience in Python Programming. Experience in Pandas and Numpy Libraries.
3. Experience with Django Framework & REST API.
4. Experience Flask, Microservices
5. Experience in FAST API would be added advantage.
6. Exposure in converting ML models to Microservices and exposing them as API
7.  GRPC development

We are looking to hire a Full-time, Remote (India) Backend engineer with a flair for writing full stack code to help create a SAAS product from the ground up in a niche industry.
This will be the v2.0 of an existing legacy platform with paying customers. This position is within the first few hires in the founding team of the revamped company.
We are on a mission to build a truly world class product and deliver at high speeds with high quality.

Read on and apply for the job if you are a doer, likes no BS, think you're competent enough to get things done, wants some quiet time every day, wants to make a difference, values work life balance and enjoy life outside work.

Experience -

At least 3 to 4 years building scalable SAAS applications in the cloud. It would be great to showcase anything progressive. Education from premier institutions, git contributions, tech blogs, volunteering, pet projects, etc.

Responsibilities -
- Architect, write, deploy and own the (SAAS) product from a technical standpoint working closely with other devs on the team
- Create and deliver the product end-to-end all the way to the user
- Write highly performant code and continuously measure performance and make the application better based on benchmarks
- Debug production issues and keep the application quality high always
- Assist with hiring more people when the team grows
- Pick up any appropriate work as in any early-stage company

General Skills Needed -

- Should be able to build and deploy multi-tenant SAAS applications end to end
- Need to have a technology-agnostic mindset. Should be able to easily pick up any new technology based on the use case.
- Should be an expert software craftsman/craftswoman. Must own the code and be proud of what you build.
- Write well thought out, well-tested code with extensive unit tests and integration tests so that the addition of future features is easy.
- Must know cloud deployment concepts and be comfortable creating and maintaining cost-effective cloud deployment strategies. AWS experience highly preferred.
- Must be able to design and architect simple, market-tested yet highly scalable solutions
- Must be able to quickly iterate and produce working software at a high speed. Must not be shy to scrap and rebuild when there is a need
- Must be appreciative of documentation and write well-documented code and technical documentation alongside

Technical Skills Needed -
- Expert level knowledge in Python and Django. We are a Python/Django/Javascript/ReactJs/AWS shop.
- Must have good knowledge/experience in creating cost-efficient and scalable cloud deployments (AWS preferred)
- Must have good knowledge of industry-standard design patterns and tools
- Must have a good understanding of various frameworks on authentication and authorization, billing and metrics
- Some experience in data analytics and reporting - creating reports based on the data collected and deliver to the frontend
- Expertise with Frameworks

1. Django, or similar backend frameworks
2. PostgreSQL, MySQL, any NoSQL or other database technology

Perks -

- Opportunity to build a SAAS product from the ground up. Lots of challenges to tackle on
- Work remotely from anywhere within India
- Emphasis on work-life balance and professional development
- Flexible work hours and a lot of autonomy
- Work with a very informal team collaborating over slack. No meaningless meetings. Focus on getting things done and not hours put in
- Opportunity to grow the team with the company
- Market salary and a yearly bonus outside the salary based on company + individual performance
- Generous PTO plan