Business Developer

🌟 HR Intern – Employee Engagement

6 Months Internship | On-Site | Conversion Opportunity

We’re looking for an HR Intern who enjoys working with people, being on the floor, and creating a great employee experience. This is a 100% on-site role with real responsibilities and a chance to convert into a full-time role after 6 months.

What you’ll do:

• Support employee engagement activities and internal initiatives
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• Handle onboarding of new joiners (Day 0 to Day 30)
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• Track and support usage of our internal HR chatbot
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• Maintain basic HR trackers and reports
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• Assist the HR team with ongoing people projects
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Who should apply:

• Final-year students or freshers (HR / Management / related fields)
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• Good communication & coordination skills
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• Interested in people, culture, and HR tech
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• Comfortable working full-time on-site
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• Proactive and willing to take ownership
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What you’ll get:

• Hands-on HR experience (not theoretical work)
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• Exposure to real HR systems & processes
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• Internship Certificate + LOR
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• Full-time conversion opportunity based on performance
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📍 Mode: On-Site

⏳ Duration: 6 Months

🚀 Conversion: Yes

*Laptop is Mandetory*

Strong UX Researcher Profile

Mandatory (Experience 1) - Must have 3+ YOE hands-on UX Research / User Research for B2C Products

Mandatory (Experience 2) - Should have hands-on experience in User Research, Persona's, User Stories, Work-Flows, and Usability Testing

Mandatory (Experience 3) - Must have worked on both qualitative and quantitative research methodologies

Mandatory (Portfolio) - Portfolio showcasing UX Research works for Good B2C Apps / Website / Product Companies

Mandatory (CTC) - The CTC breakup offered will be 80% fixed, and 20% variable, as per Company policy.

Preferred

Preferred (Company) - Product Company

Engineering Manager

Key deliverables

Software Architecture: Ensure implementation of a modular, scalable, secure and robust cloud software framework.

Project Management: Sprint Management for development projects to ensure tracking, planning and agile development and upgrades.

Certifications and Regulatory Approvals: Work with regulatory agencies and consultants to ensure implementation for an acquiring certification and regulatory approvals - FDA, ISO 13485, ISO 27001,

GDPR, HIPAA compliance

Other deliverables

Compliance and Tracking: Tracking key KPIs for cloud software to ensure performance and solve for

any deltas in the expected KPIs.

3rd Party Tech Integration: Work with third parties to ensure smooth integration of our offering in

their system. Establish Dozee as the backend for healthtech.

Associated tasks

Documentation: Industry Standard API documentation, software architecture, specifications and

technical documentation.

QA: Ensure zero down time and correctness of the data and features

Detailed Description

Software Architecture

Brainstorming for software architecture and implementation strategy

Working with developers to ensure swift and smooth development

Project Management:

Sprint Management for development projects

Tracking and planning for project deliverables and releases

Resource planning and utilization

Compliance and Tracking:

Setting up infrastructure to track key metrics for tech.

Ensure compliance with the target KPIs

Solve for any delta in KPIs

3rd Party Tech Integration:

Ensuring smooth and seamless integration for 3rd Parties

Collateral (videos/blogs) to demonstrate API integration in healthtech infra

Regular communication with 3rd parties

Certifications and Regulatory Approvals:

Ensure FDA documentation, clinical trials, submission and approval with the regulatory consultant and our team

ISO-13485 SOP, Documentation and Implementation across all systems in the organization ISO-27001 documentation, gap analysis, solving for deltas and certification

GDPR and HIPAA compliance

Other necessary accreditations and approvals

QA:

Enhance existing QA coverage

Setup automated systems to monitor the health of the production environment

Setup proper reporting for any deltas identified by QA

Required Skills

A proactive nature, high EQ and good interpersonal skills are essentials for this role.

Building, maintaining and managing relationships, negotiation skills, conflict resolution, persuasion skills,

judgement making and critical thinking capabilities will be tested each and every day on this career path.

Additionally a knowledge of the below mentioned skills shall be of great help -

Experience:

Experience in software development and management, especially API development, microservices,

serverless systems and cloud development. (2-4 years)

Excellent verbal and written communication, presentation and leadership skills. Experience with

hiring and managing a team of at least 10 developers.

Attitude and Aptitude:

Demonstrates intelligence, positive attitude and loads of patience

Logical and analytical in approach with problem-solving aptitude

Work with high levels of intellectual rigour

Resilient in withstanding pressure and delivering efficiently

Strong analysis capability and exceptional ability to communicate data and results to a wide range of individuals including senior leadership

Ability to handle multiple tasks and meet multiple deadlines.

Academic:

Bachelors in Engineering (preferred Computer Science and Engineering)

Minimum of 6 years of experience in software development. Proficiency in developing declarative and component-based SPAs using Vue.js. Experience with front-end technologies such as HTML, CSS, JavaScript, and TypeScript. Expertise in Vue.js, including Vuex for state management and Vue Router for navigation. Strong understanding of Java and experience with Spring Boot framework. Knowledge of RESTful APIs and microservices architecture. Knowledge of Spring Security framework for implementing authentication and authorization in Spring-based applications. Experience with Keycloak and access management solutions for securing web applications. Understanding of OAuth and OpenID Connect protocols for single sign-on (SSO) authentication. Ability to integrate and configure Keycloak with Spring Boot applications to manage user authentication and authorization. Experience with JSON Web Tokens (JWT) for secure transmission of authentication data between client and server. Bachelor's degree in Computer Science, Engineering, or related field.

Role

We are looking for a  Senior Software Engineer - Python, React to join our engineering team and help us develop and maintain various software products.

You should be comfortable around front-end and back-end coding languages, development frameworks, and third-party libraries. You should also be a team player with a knack for visual design and utility.

Ultimately, you’ll build highly responsive web applications that align with our business needs.

Responsibilities

• Write effective, scalable code
• Develop front-end and back-end components to improve responsiveness and overall performance
• Integrate user-facing elements into applications
• Test and debug programs
• Improve functionality of existing systems
• Implement security and data protection solutions
• Assess and prioritize feature requests
• Coordinate with internal teams to understand user requirements and provide technical solutions

Qualifications

• BSc/BE/BTech in Computer Science, Engineering or a related field
• Must have 4+ years of work experience as a Python/Django (Back-end) and React (Front-end) developer
• Expertise in Django Framework. Other frameworks like Flask Pyramid knowledge are good to have
• Strong experience with Linux-based infrastructures, Linux/Unix administration, and AWS.
• Proficient in Terraform which allows migration to Kubernetes 
• Experience with DevOps toolchains such as Docker, Travis CI, Jenkins, Git.,
• Understanding of fundamental design principles behind a scalable application
• Able to create database schemas that represent and support business processes
• Knowledge of object-relational mapping (ORM)
• Able to implement automated testing platforms and unit tests
• Proficient understanding of code versioning tools (Git) 
• React experience is good to have
• Team spirit
• Good problem-solving skills

Skills:-

Java, SpringBoot, OOps, Microservices and Basic in SQL.

Responsibilities: -

Experience in application components using Spring Boot.

Should possess application development experience in Java 7/8, Spring Framework, Spring Boot.

Design and develop micro services/APIs using either Java/Spring boot. · Experience working in Agile environment and good understanding of Agile processes.

Good in any front end technologies like React JS

Experience in AWS

Knowledge of Application Server like Tomcat, Testing frameworks like JUnit Skills:

Spring Boot, Swagger, Tomcat , Maven, Jenkins, Git, Postman, kubernetes, Docker, Hibernate.

Strong knowledge on both SQL and NOSQL Databases.

Possess excellent communication and interpersonal skills and can articulate your ideas to different stakeholders.

Proficient understanding of code versioning tools, such as Git.

Experience in working as a team to design, document, develop, test, implement and maintain modular, multi-tier large Java applications.

Great interpersonal and communication skills

Job Functions: Information Technology.

Employment Type - Full-time.

• Professional cold calling to convert suspect lead to prospect quality lead.
• Schedule business development meetings with prospective clients Email company profiles to prospective clients.
• Call on leads.
• Promote company services features with precise presentation and identify client requirements in the meeting.
• Share email quotation and the rate bifurcation.
• Ensuring adherence to SGB levies and Guidelines.
• Rapport building, Convincing and negotiating, and a strong follow-up to confirm the business with the client.
• Update new client details in the system and share them with the team. 

ML Engineer-Analyst/ Senior Analyst

Job purpose:

To design and develop machine learning and deep learning systems. Run machine learning tests andexperiments and implementing appropriate ML algorithms. Works cross-functionally with the Data Scientists, Software application developers and business groups for the development of innovative ML models. Use Agile experience to work collaboratively with other Managers/Owners in geographically distributed teams.

Accountabilities:

• Work with Data Scientists and Business Analysts to frame problems in a business context. Assist all the processes from data collection, cleaning, and preprocessing, to training models and deploying them to production.

• Understand business objectives and developing models that help to achieve them, along with metrics to track their progress.

• Explore and visualize data to gain an understanding of it, then identify differences in data distribution that could affect performance when deploying the model in the real world.

• Define validation strategies, preprocess or feature engineering to be done on a given dataset and data augmentation pipelines.

• Analyze the errors of the model and design strategies to overcome them.
• Collaborate with data engineers to build data and model pipelines, manage the infrastructure and data pipelines needed to bring code to production and demonstrate end-to-end understanding of applications (including, but not limited to, the machine learning algorithms) being created.

Qualifications & Specifications

• Bachelor's degree in Engineering /Computer Science/ Math/ Statistics or equivalent. Master's degree in relevant specification will be first preference

• Experience of machine learning algorithms and libraries
• Understanding of data structures, data modeling and software architecture.
• Deep knowledge of math, probability, statistics and algorithms
• Experience with machine learning platforms such as Microsoft Azure, Google Cloud, IBM Watson, and Amazon

• Big data environment: Hadoop, Spark
• Programming languages: Python, R, PySpark
• Supervised & Unsupervised machine learning: linear regression, logistic regression, k-means

clustering, ensemble models, random forest, svm, gradient boosting

• Sampling data: bagging & boosting, bootstrapping
• Neural networks: ANN, CNN, RNN related topics
• Deep learning: Keras, Tensorflow
• Experience with AWS Sagemaker deployment and agile methodology