SDET

What You'll Do:

• Designed, architected, and built the core AI-powered application from the ground up.
• You will join a small team with an unparalleled 'fire-in-belly' to close deliverables and a "hungry for more"
• Collaborate with visionary founders to define the product roadmap and bring innovative ideas to life.
• Leverage your expertise in Azure Cloud, full-stack development, and automation to develop scalable, secure, and high-performing solutions.
• Take ownership of the technical stack, system integrations, and deployment pipelines.
• Establish best development, testing, and deployment practices to ensure the product's success in a competitive market.

Who You Are:

• Proficient in full-stack technologies, including React.js, Node.js, Python/Django, and similar frameworks.
• Tech leader who thrives in startup environments and is fully hands-on in coding and working under minimal supervision.
• Highly results-driven. (very important)
• 8+ years of proven experience in the technology product space, including building and scaling applications.
• Strong knowledge of Cloud platforms, Azure Cloud architecture, and automation tools.
• Experienced in developing and deploying enterprise-grade applications.
• Passionate about AI and its potential to transform the enterprise landscape.
• Eager to solve complex problems and create products with tangible business impact.

Why Join Us?:

• Be part of a founding team, playing a critical role in shaping a cutting-edge AI product.
• Collaborate with industry leaders and visionaries who are passionate about innovation.
• This is an opportunity to grow alongside the company and lead a high-impact engineering team.
• Equity and ownership in the product’s success.

We want to hear from you if you’re ready to make a real difference, push boundaries, and build something extraordinary!

Job Description – Machine Learning Expert

Role: Machine Learning Expert

Experience: 6+ Years

Location: Bangalore

Education: B.Tech Degree (Computer Science / Information Technology / Data Science / related fields)

Work Mode: Hybrid – 3 Days Office + 3 Days Work from Home

Interview Mode: Candidate must be willing to attend Face-to-Face (F2F) L2 round at Bangalore location

About the Role

We are seeking a highly skilled Machine Learning Expert with a strong background in building, training, and deploying AI/ML models. The ideal candidate will bring hands-on expertise in designing intelligent systems that leverage advanced algorithms, deep learning, and data-driven insights to solve complex business challenges.

Key Responsibilities

• Develop and implement machine learning and deep learning models for real-world business use cases.
• Perform data cleaning, preprocessing, feature engineering, and model optimization.
• Research, design, and apply state-of-the-art ML techniques across domains such as NLP, Computer Vision, or Predictive Analytics.
• Collaborate with data engineers and software developers to ensure seamless end-to-end ML solution deployment.
• Deploy ML models to production environments and monitor performance for scalability and accuracy.
• Stay updated with the latest advancements in Artificial Intelligence and Machine Learning frameworks.
• 
  

Required Skills & Qualifications

• B.Tech degree in Computer Science, Information Technology, Data Science, or related discipline.
• 6+ years of hands-on experience in Machine Learning, Artificial Intelligence, and Deep Learning.
• Strong expertise in Python and ML frameworks such as TensorFlow, PyTorch, Scikit-learn, Keras.
• Solid foundation in mathematics, statistics, algorithms, and probability.
• Experience in working with NLP, Computer Vision, Recommendation Systems, or Predictive Modeling.
• Knowledge of cloud platforms (AWS / GCP / Azure) for model deployment.
• Familiarity with MLOps tools and practices for lifecycle management.
• Excellent problem-solving skills and the ability to work in a collaborative environment.
• 
  

Preferred Skills (Good to Have)

• Experience with Big Data frameworks (Hadoop, Spark).
• Exposure to Generative AI, LLMs (Large Language Models), and advanced AI research.
• Contributions to open-source projects, publications, or patents in AI/ML.
• 
  

Work Mode & Interview Process

• Hybrid Model: 3 days in office (Bangalore) + 3 days remote.
• Interview: Candidate must be available for Face-to-Face L2 interview at Bangalore location.

∙

Good experience in 5+ SQL and NoSQL database development and optimization. 

∙Strong hands-on experience with Amazon Redshift, MySQL, MongoDB, and Flyway. 

∙In-depth understanding of data warehousing principles and performance tuning techniques. 

∙Strong hands-on experience in building complex aggregation pipelines in NoSQL databases such as MongoDB. 

∙Proficient in Python or Scala for data processing and automation. 

∙3+ years of experience working with AWS-managed database services. 

∙3+ years of experience with Power BI or similar BI/reporting platforms. 

• Experience building applications using NodeJS and frameworks such as Express.
• Thorough understanding of React.js and NodeJS including its core principles.
• Ability to understand business requirements and translate them into technical requirements.
• Familiarity with code versioning tools (such as Git, SVN, and Mercurial).
• Understanding the nature of asynchronous programming and its quirks and workarounds
• Strong experience with MongoDB, Postgres
• Highly proficient with Vue.js framework and its core principles such as components, reactivity, and the virtual DOM
• Familiarity with the Vue.js ecosystem, including Vue CLI, Vuex, Vue Router
• Good understanding of HTML5 and CSS3, and Sass 
• Understanding of server-side rendering and its benefits and use cases

• Implement best practices for the engineering team across code hygiene, overall architecture design, testing, and deployment activities
• Drive technical decisions for building data pipelines, data lakes, and analyst access.
• Act as a leader within the engineering team, providing support and mentorship for teammates across functions
• Bachelor’s Degree in Computer Science or equivalent job experience
• Experienced developer in large data environments
• Experience using Git productively in a team environment
• Experience with Docker
• Experience with Amazon Web Services
• Ability to sit with business or technical SMEs to listen, learn and propose technical solutions to business problems

·       Experience using and adapting to new technologies

·       Take and understand business requirements and goals

·       Work collaboratively with project managers and stakeholders to make sure that all aspects of the project are delivered as planned

·       Strong SQL skills with MySQL or PostgreSQL

• Experience with non-relational databases and their role in web architectures desired

 Knowledge and Experience:

• Good experience with Elixir and functional programming a plus

• Several years of python experience
• Excellent analytical and problem-solving skills
• Excellent organizational skills

Proven verbal and written cross-department and customer communication skills

• Defining, implementing and executing regression and stress automation tests focused on embedded software and device firmware level
• Analyzing automation test results for failures, identifying issue trends and quantifying impact
• Isolating and reporting defects effectively quantifying customer impact and verifying fixes through regression testing and other test methodologies
• Working cross-functionally with other QA teams, Developers and Project Managers

Desired Candidate Profile

• BE– CS/ECE, MS, ME, MTech
• 2+ years of QA experience, preferably on consumer hardware/ software products
• Automation experience in modern scripting or compiled languages (Python, JavaScript, C etc.)
• Experience with hardware and/ or software development lifecycle processes
• Knowledge of Unix and Unix shell scripting
• Ability to communicate technical concepts to a non-technical audience
• Deep understanding of SQA methodologies and practices
• Ability to solve hard problems with creative and sustainable solutions
• Be detail-oriented and strive for the best product for our customers
• Self-motivated with the ability to drive features to delivery
• Should have strong hands on experience in developing applications
• Strong analytical and problem solving skills
• Excellent oral and written communication skills
• Good logical sense, strong technical skills and the ability to learn new technologies quickly    

HBOX is a US Based Digital Health Company, Enabling Primary Care Providers (PCP) to

capture true Virtual Care Opportunities beyond Telehealth. We enable PCP to

provide Proactive and Continuous Care and add new Recurring monthly revenue

streams without any upfront cost. With our unique distribution and business

model, we are seeing fast acceptance and great adaption with our target

customers. We have built unique and Industry's first Integrated

Hardware, Cloud & AI Technologies based Virtual care Platform for PCP

Market. We are US focused Post revenue company with customers in 7 US States

and growing extremely fast.

We are looking for an Android Developer who possesses a passion for pushing mobile technologies to the limits. This Android app developer will work with their US-based counterpart to design and build the next generation of our mobile applications. This job requires both Android System and UI development competence.

Responsibilities

Design and build advanced applications for the Android platform

Collaborate with cross-functional teams to define, design, and ship new features

Work with outside data sources and APIs

Unit-test code for robustness, including edge cases, usability, and general reliability

Work on bug fixing and improving application performance

Continuously discover, evaluate, and implement new technologies to maximize development efficiency

Requirements

BS/MS degree in Computer Science, Engineering or a related subject

Proven software development experience and Android skills development

Proven working experience in Android app development and

Have published at least one original Android app

Experience with Android SDK

Experience working with remote data via REST and JSON

Experience with third-party libraries and APIs

Working knowledge of the general mobile landscape, architectures, trends, and emerging technologies

Solid understanding of the full mobile development life cycle.