Digital Marketer

Role & Responsibilities

As a Junior Full Stack Engineer at , you will work on product features end-to-end - from the data model to the pixel on the screen.

You will work alongside senior engineers, learn to bridge engineering and product, and contribute to translating complex business workflows into interfaces that enterprise teams actually use. You will own smaller features and grow into full vertical ownership over time.

• Work on product features end-to-end - complex configuration UIs, workflow builders, and operational dashboards for enterprise users
• Contribute to customer-facing surfaces - SDKs, embeddable flows, and APIs that directly shape how clients experience
• Learn and apply frontend architecture best practices - component structure, state management, performance optimisation, and accessibility
• Build backend APIs and data models under senior guidance - developing end-to-end ownership over time
• Debug issues across the full stack - learn to trace problems from symptom to root cause
• Collaborate with design, product, and customer success - hear feedback from real users and let it shape what you build
• Partner with the GenAI engineer to surface AI capabilities through clean, well-designed product interfaces
• Participate in code and design reviews to learn and grow

Ideal Candidate

• Strong Full Stack Engineer profiles
• Mandatory (Experience 1) – Must have 1+ years of hands-on full stack engineering experience (avoid frontend-heavy only profiles, backend heavy will work)
• Mandatory (Experience 2) – Must have strong backend engineering experience using Python, including designing and owning APIs, services, and data models in production environments
• Mandatory (Experience 3) – Must have strong frontend development experience using React (or equivalent), including component architecture, state management, and building production-grade user interfaces
• Mandatory (Experience 4) – Must have end-to-end ownership experience, building and shipping features across the full stack (UI + API + database) without clear handoff boundaries
• Mandatory (Experience 5) – Must have strong web fundamentals, including understanding of browser rendering, performance optimization, and accessibility best practices
• Mandatory (Experience 6) – Must be able to demonstrate solving complex problems on both frontend and backend, clearly articulating trade-offs, decisions, and outcomes
• Mandatory (Experience 7) – Must have solid experience with databases (SQL/NoSQL), including schema design, query optimization, and handling performance bottlenecks
• Mandatory (Company) - Top Product Companies, (preferred early-stage startups with Seed to Series C/D with fast-paced shipping culture)
• Mandatory (Education) - Tier-1 institutes (IITs, BITS, IIITs), Can be skipped if from Top notch product companies
• Preferred (Skill 1) – Strong proficiency in TypeScript, with experience in type-safe architecture and scalable frontend/backend systems
• Preferred (Skill 2) – Experience with testing frameworks such as Cypress / Playwright and strong unit testing practices
• Preferred (Skill 3) – Experience working with cloud platforms (AWS preferred)

Location: Bengaluru, Kadugodi

Experience: 4-6 years

About company:

Client is a Germany-headquarted IT consulting and service organization. With over 25 years of expertise and global presence, we are committed to customer excellence and focused in addressing niche areas of product engineering, process consulting and software development in automotive, railways, production automation, data management and business IT domains.

Key Responsibilities:

• Develop or enhance features to meet industry standards, safety regulations, and project specifications.
• Collaborate with Business stakeholders to understand Business Requirements
• Work closely with hardware engineers, QA, and Scrum Master to integrate software solutions into embedded systems.
• Identify Problems and resolve technical issues within embedded systems, making critical decisions on system architecture and software design.
• Strive towards Improving Processes, system performance, optimize code and innovate in software design.
• Work closely with vendors to design and implement edge AI solutions

Requirements:

• Must have done B.Tech/B.E preferably in ECE stream
• Must have Proficiency in Python/C/C++, Go Lang, Scripting in Bash
• Must have Strong Fundamentals on Embedded Development Life cycle
• Must have Strong knowledge on Embedded Linux, Unix/Linux commands, RTOS and SQL
• Sound knowledge of CAN/J1939 protocol, Sensor Data Processing and Telemetry
• Experience with tools like JIRA and Agile/Scrum methodology
• Excellent communication skills and ability to collaborate with cross-functional teams.
• Ability to work on multiple projects and prioritize work effectively
• Ability to work independently and as a team member
• Strong analytical and problem-solving skills

Nice to Have:

• Understanding of ADAS, Driver Monitoring Systems
• Experience with embedded video coupled with edge AI

Software Development Engineer – React

Location: Bangalore

Experience: 5–7 Years

About the Role

Mygate is looking for a highly skilled Software Development Engineer – React to build and scale high-performance web applications used by millions of users. We are seeking a strong frontend engineer with deep expertise in React and modern JavaScript frameworks who can contribute to the development of intuitive, scalable, and user-centric products.

This role requires a hands-on engineer with excellent problem-solving abilities, strong frontend architecture knowledge, and a passion for delivering exceptional user experiences.

Key Responsibilities

• Design, develop, and maintain scalable frontend applications using React.js.
• Build responsive, performant, and reusable UI components.
• Collaborate closely with Product Managers, Designers, and Backend Engineers to deliver high-quality features.
• Translate business requirements into clean, efficient, and maintainable code.
• Optimize applications for speed, scalability, and user experience.
• Participate in architecture discussions and contribute to frontend best practices.
• Conduct code reviews and ensure high standards of code quality.
• Troubleshoot and resolve production issues while ensuring application reliability.
• Drive continuous improvements in frontend performance, development processes, and engineering practices.

Requirements

• 5–7 years of experience in frontend software development.
• Strong hands-on experience in React.js is mandatory and non-negotiable.
• Expert-level proficiency in JavaScript (ES6+), TypeScript, HTML5, and CSS3.
• Strong understanding of React architecture, component lifecycle, hooks, state management, and performance optimization.
• Experience with Redux, Context API, or other state management solutions.
• Hands-on experience integrating frontend applications with REST APIs.
• Strong understanding of frontend design patterns and component-based architecture.
• Experience with debugging, browser developer tools, and performance tuning.
• Proficiency with Git and modern development workflows.
• Strong problem-solving skills and ability to work independently.

Preferred Qualifications

• Experience building large-scale consumer-facing products.
• Exposure to Next.js and modern frontend tooling.
• Experience with frontend testing frameworks such as Jest, React Testing Library, or Cypress.
• Familiarity with CI/CD pipelines and Agile development practices.
• Prior experience in product-based or high-growth technology companies.

What We're Looking For

• Deep expertise in React development and frontend engineering.
• Strong ownership and accountability.
• Ability to thrive in a fast-paced product environment.
• Passion for creating exceptional user experiences.
• Excellent communication and collaboration skills.
• A product mindset with a focus on delivering business impact through technology.

Additional Criteria

• Candidates must demonstrate significant hands-on React development experience.
• Profiles with limited or secondary exposure to React will not be considered.
• Immediate joiners or candidates serving a notice period of up to 30 days are preferred.

Data - AI / ML Engineer 

Full-Time   |   On-site, Kolkata   |   Immediate Joining   |   4+ years experience

ABOUT US 

Company Name: Freeflow ventures

We are a venture building and investment firm focused on emerging markets across India, the Middle East, and Africa. We work with early-stage startups -diagnosing gaps, structuring interventions, and preparing them for investor-readiness through a proprietary data and intelligence platform.

Our platform combines automated data verification, startup scoring, and structured workflow automation to bring consistency and credibility to early-stage investment decisions. We are at an active build and expansion phase, and this role sits at the core of that infrastructure.

ROLE OVERVIEW

We are looking for a Data - AI / ML Engineer who can own both the data pipelines that bring verified information into our platform and the intelligence models that turn that information into reliable startup scores.

This is a dual-responsibility role. You will be expected to build and maintain robust data infrastructure as well as develop, calibrate, and improve machine learning models. Both are equally important to the platform.

You will work closely with the Platform Owner and alongside a Backend Engineer who owns system integrations and workflow logic. Your work produces the scored intelligence output. The Backend Engineer's work connects that output to platform actions. The two roles are tightly interdependent and require close daily collaboration, especially in the first 30 days.

Note: You are the first technical hire on the platform team. The Backend Engineer joins the same week. Clear communication, well-defined handoff points, and shared documentation between the two of you are non-negotiable from Day 1.

WHAT YOU WILL DO

Data Pipeline

• Build and maintain pipelines that collect, clean, and normalize data from multiple external sources into a consistent, usable format
• Design connector architecture that allows individual data sources to be added, swapped, or removed without rebuilding the entire pipeline
• Implement automated data quality checks that catch bad data before it reaches the scoring layer -anomaly detection, constraint enforcement, and schema validation
• Build an automated eligibility screening system that verifies whether a startup has sufficient verified data before assessment begins
• Ensure the pipeline is resilient -critical data signals must have backup sources so a single vendor failure does not disrupt platform output
• Structure data storage to support different regulatory requirements across multiple countries -data from different regions must be handled according to the rules of that region

AI and Machine Learning

• Audit the existing scoring engine before making any changes -understand what it does, how it was built, and what would be lost if it were modified
• Calibrate scoring models against real portfolio data so that scores are meaningful, consistent, and comparable across different startup types and stages
• Build confidence scoring logic that determines when the system is certain enough to act autonomously and when it should route to human review
• Ensure every model output is explainable -investors must be able to see exactly which data points drove a score, not just the final number
• Build a feedback loop so that real-world outcomes feed back into the model over time, making it progressively more accurate
• Maintain a structured data store of assessment outputs and outcomes that the model uses to improve

Working With the Backend Engineer

• Define a clear data contract at the handoff point -what data you produce, in what format, and what the Backend Engineer can expect to receive
• Collaborate on trigger logic -what score thresholds or confidence drops should fire what system actions
• Align on data schema requirements so that the APIs the Backend Engineer builds conform to the structure your pipeline produces
• Communicate blockers early -the pipeline and backend system are built simultaneously, so delays on one side directly affect the other
• Document everything you build so the Backend Engineer and Platform Owner can understand, debug, and extend it without depending on you for every question

WHAT WE ARE LOOKING FOR

Skills are divided into two categories. Must Have means the role cannot function without it. Good to Have means it gives you an edge.

Skill

Priority

Data Engineering

Building and maintaining data pipelines from multiple sources

Must Have

Data normalization and schema design

Must Have

Automated data quality validation

Must Have

API integration across different source types

Must Have

Pipeline orchestration and scheduling

Must Have

Cloud infrastructure -storage, compute, and deployment

Must Have

Version control and code documentation

Must Have

AI and Machine Learning

Building and calibrating supervised machine learning models

Must Have

Model explainability -making model outputs traceable and interpretable

Must Have

Confidence scoring and threshold calibration

Must Have

Experiment tracking and model versioning

Must Have

Building feedback loops that improve models over time using real-world outcomes

Must Have

Natural language processing or document understanding

Good to Have

Vector databases and semantic search

Good to Have

Collaboration and Context

Ability to define clear data contracts and handoff points with backend engineers

Must Have

Clear written documentation of pipeline logic, model decisions, and failure modes

Must Have

Prior experience working in or with early-stage startups

Good to Have

Exposure to financial data, investment platforms, or data verification systems

Good to Have

WHAT WE OFFER

• Competitive compensation based on experience -discussed during the interview process
• Ownership of both the data and intelligence layers from Day 1 -this is not a support or maintenance role
• Direct access to the Platform Owner and Founder 
• Close collaboration with a Backend Engineer from Day 1 -the two roles are designed to work as a unit
• Work on a genuinely novel problem in an emerging market context
• On-site Kolkata with a small, high-accountability team
• Opportunity to scale the platform across multiple international markets

Job Responsibilities:

● Conceptualizing, executing & managing branded campaigns across LBB formats on web, app & social media based on client briefs

ensuring high repeat rate

Should have worked on branded content / content marketing

● Ensuring a mix of client objectives & LBB tonality

● Social Media Marketing & execution for sales collaborations

● Client servicing: Being the SPOC for a partner brand, daily liaison, end to end life cycle management of the brand campaigns from

brief to deliverables

● Creating pitches, briefs, presentations, campaign plans, innovations & partners to maximize conversion

● Mapping daily progress of branded content & reporting the success of a campaign post closure

● Keeping up with client deadlines & incorporating feedback/changes

-          Strong programming skills in JavaScript

-          Experience with ReactJS

-          Experience with frontend frameworks like bootstrap, Jquery

-          Object Oriented concepts

-          Good knowledge in HTML5, CSS, CSS3

-          Experience in working with RESTful APIS

-          Experience with HTTP, HTTPS and WebSockets

-          Building responsive design

-          Knowledge in version control- Git, Subversion

-          Good problem-solving skills 

Desired Candidate Profile

• 3+ years of overall experience in marketing (Must have worked either in Ecommerce, Edtech, Healthtech, Fintech or any other B2C app based company)
• 2+ years of experience in engagement & retention domain
• 1+ year experience of working on engagement & retention tools like WebEngage/ MoEngage/ CleverTap is a big plus
• Excellent analytical skills and a high degree of business acumen
• Strong organizational, communication and presentation skills
• Proven ability in handling concurrent projects with attention to detail and accuracy
• Understanding of Google Analytics and AppsFlyer (Mixpanel knowledge is a big plus)    

• You will be the One go-to person for - everything- Revenue & Growth. Responsible for building the team, processes & programs that enable growth.
• Owns the overall revenue of the organisation. Manage P&L, Discounts & Marketing budgets efficiently.
• Completely own User Acquisition, Conversion & Retention Drive tech enabled growth for the company.
• Drive Digital & Offline marketing strategies. Completely own the performance marketing and assist in brand building.
• Work with the agency to drive SEO (website) mandates for growing the organic traffic.
• Influence online product changes on websites that drive discovery, user engagement & revenue.
• Lead corporate partnerships and programs to build brand awareness and cost effective user acquisition.

• Working on Executive Leadership Talent Needs (Senior Management) for reputed
• clients across the technology sector. The role involves extensive Industry Mapping and
• organization research, Executive research, Organization structures, Talent mapping,
• and various modes of Headhunting.
• Client engagements, Candidate management, Sourcing, Screening, interviewing and
• assessing candidates.
• Meeting Future technology leaders face to face and building a relationship with them
• Source candidates using databases, social media, etc. Evaluate resumes and applications
• Assume responsibility of pre-interview screening
• Match the most suitable candidates for different positions. Foster a good relationship with
• the clients.
• Facilitate and finalize agreements between candidate and employer