Customer Support executive

About the Role

We are seeking motivated Data Engineering Interns to join our team remotely for a 3-month internship. This role is designed for students or recent graduates interested in working with data pipelines, ETL processes, and big data tools. You will gain practical experience in building scalable data solutions. While this is an unpaid internship, interns who successfully complete the program will receive a Completion Certificate and a Letter of Recommendation.

Responsibilities

• Assist in designing and building data pipelines for structured and unstructured data.
• Support ETL (Extract, Transform, Load) processes to prepare data for analytics.
• Work with databases (SQL/NoSQL) for data storage and retrieval.
• Help optimize data workflows for performance and scalability.
• Collaborate with data scientists and analysts to ensure data quality and consistency.
• Document workflows, schemas, and technical processes.

Requirements

• Strong interest in data engineering, databases, and big data systems.
• Basic knowledge of SQL and relational database concepts.
• Familiarity with Python, Java, or Scala for data processing.
• Understanding of ETL concepts and data pipelines.
• Exposure to cloud platforms (AWS, Azure, or GCP) is a plus.
• Familiarity with big data frameworks (Hadoop, Spark, Kafka) is an advantage.
• Good problem-solving skills and ability to work independently in a remote setup.

What You’ll Gain

• Hands-on experience in data engineering and ETL pipelines.
• Exposure to real-world data workflows.
• Mentorship and guidance from experienced engineers.
• Completion Certificate upon successful completion.
• Letter of Recommendation based on performance.

Internship Details

• Duration: 3 months
• Location: Remote (Work from Home)
• Stipend: Unpaid
• Perks: Completion Certificate + Letter of Recommendation

In this role, you will be responsible for supporting people and processes to ensure projects are delivered as per scope, budget and timelines.

This role includes developing detailed project plan and comprehensive project documentation, managing the project team, project resources and their availability, measuring the performance, tracking progress and communicating project status to client and internal stakeholders.

You will be a reliable and crucial team member who can anticipate client needs.

As a Project Manager, you will be the point of contact for all the stakeholders from initiation to closure and will be responsible to lead the team that is responsible for achieving the project objectives. You will work towards balancing the competing constraints on the project with the team and resources available.You will report the project status to client and internal stakeholders and escalate issues as needed. You will perform risk management to identify and mitigate risks and maintain a strong advocacy within your spheres of influence.

QUALIFICATIONS:

• Project Manager with 7+ years experience: Including minimum 2 years of IT (Mobile/Web) project management experience.
• Experience in Agile methodology.
• Must have handled SDLC projects as Project Manager

What will you need to be successful in this role?

• Handle a portfolio of projects and clients in parallel and across geographies.
• Develop an execution plan for projects and people in the team.
• Maintain strong relationships with product delivery, the sales team, client and account managers
• Expertise in project estimation, planning, tracking, scope control, risk and issues management as well as status reporting

Good to have:

• Technical experience in Azure, AWS, Android, iOS, .Net
• PMP/Prince 2 certification
• Jira project management tool and strong working knowledge of Microsoft Office

COMPETENCIES:

• Strong commitment to professional client service excellence
• Excellent communication (written, verbal and presentation), persuasive and negotiating skills
• Encourage, motivate, and mentor team members
• Proactive can do and can think the approach to the job

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

About Superclaims

Superclaims modernizes health insurance claims adjudication with intelligent automation. We help insurers and TPAs replace manual, document-heavy workflows with faster, more accurate decisions at scale.

Role: Python Backend Developer

We are looking for a Python Backend Developer who is excited to build AI-powered automation products in a fast-paced startup environment.

What you'll do

- Build and maintain scalable backend systems and APIs

- Develop intelligent data extraction pipelines using AI/ML

- Design and implement agentic workflows with LangGraph

- Design efficient database schemas and optimize queries in PostgreSQL

- Integrate and work with LLMs (OpenAI, Gemini, or similar)

- Collaborate with product, frontend, and data teams to deliver end-to-end features

- Write clean, tested, and well-documented code

Must-have skills

- Strong proficiency in Python and a modern web framework (FastAPI or similar)

- Experience with PostgreSQL and an ORM (SQLAlchemy preferred)

- Solid understanding of RESTful API design and best practices

- Hands-on experience or strong familiarity with LangGraph

- Experience working with LLMs (OpenAI, Gemini, or similar providers)

- Comfort with Git/version control and collaborative development workflows

Nice-to-have skills

- Experience with Docker and containerized deployments

- Knowledge of Redis for caching or background tasks

- Exposure to cloud platforms (GCP, AWS, or Azure)

- Experience with vector databases and retrieval-augmented generation

- Basic prompt engineering skills

- Experience with object storage (S3/MinIO)

What we're looking for

- 1+ years of Python backend development experience (open to exceptional freshers)

- Fast learner with genuine curiosity about AI/ML and automation

- Prior startup experience preferred

- Ownership mindset, bias for action, and comfort with ambiguity

- Ready to relocate to Hyderabad (work location)

How to apply

Please share:

- Your resume

- GitHub/Portfolio link

- A brief note on why you're interested in AI-powered automation and Superclaims

• Accurately recording details of customers’ purchase orders.
• Processing all customer purchases accordingly.
• Generating promising leads to pursue.
• Managing customer accounts by ensuring that existing customers remain satisfied with the company's services.
• Developing and sustaining solid relationships with customers to encourage repeat business.
• Understanding in-depth knowledge to make suitable recommendations based on customers' needs and preferences.
• Continually meeting or exceeding daily and monthly targets with respect to call volume and sales.

We are looking for an Android developer responsible for the development and maintenance of applications aimed at a vast number of diverse Android devices. Your primary focus will be the development of Android applications and their integration with back-end services. You will be working along-side other engineers and developers working on different layers of the infrastructure. Therefore, commitment to collaborative problem solving, sophisticated design, and creating quality products is essential.

• Translate designs and wireframes into high quality code
• Design, build, and maintain high performance, reusable, and reliable Java code
• Ensure the best possible performance, quality, and responsiveness of the application
• Identify and correct bottlenecks and fix bugs
• Help maintain code quality, organization, and automatization

Are you looking for a promising career with a well known ed-tech brand, which is looking to make life easier for kids and parents to understand basic concepts of learning? Then read on.

Our client aspires for equity in education along with profound, measurable societal impact. The company provides learning solutions such as digitalized educational contents, English speaking, school infrastructure, improvement and management solutions etc. for a spectrum of audiences ranging from children in schools and informal setting, to teachers, adults, and corporate. They've created significant reach and impact at scale; through their presence across 32 States and Union Territories and 478 districts of India, in 36,000 schools and with a network of around 300 Institutes of Skills, and 100 industrial clusters, they directly impact 15 million people on a daily basis.

What you need to have:

The ideal candidate will have experience in all stages of the sales cycle. They should be confident with building new client relationship and maintaining existing ones for B2B. They should have evidence of strong skills and possess good negotiation skills. #hiring

Responsibilities

• Build relationships with prospective clients
• Maintain consistent contact with existing clients
• Manage sales pipeline
• Analyze market and establish competitive advantages
• Track metrics to ensure targets are hit

Qualifications

• Bachelor's degree 3+ years in sales industry
• Experience in full sales cycle including deal closing Demonstrated sales success
• Strong negotiation skills
• Strong communication and presentation skills
• B2B Experience Preferred

Job Description

• Should be proficient with core object oriented JavaScript
• Ability to build full stack application using React/Node/Mongo or any other DB
• React Js
• Redux
• Bootstrap & Responsive design concept with HTML5/CSS3 ideas
• npm/nvm concept and hands on experience on usage
• Git as version control tool
• Clear idea of REST API and ability to read API docs and integrate independently

About Senrya Technologies Pvt.Ltd. –

We are a full-stack avant-garde product organization with its roots in East India (Kolkata) and expanse in North East, Maharashtra, Gurgaon, Karnataka and has made Kolkata from backwaters of IT to a live-wire hub of innovation.  We blend innovation and next-gen technologies with rich experience of more than a decade and undaunted ambition with the primary objective to build highly scalable solutions that will impact a billion lives. 

Senrysa group of companies includes three business verticals that contribute to our success story - Fintech, Retailtech, Healthtech. The growth trajectory of Senrysa has been 100% every passing year.

Fintech - We are one of the leading Fintech organization in financial inclusion with innovative ICT solutions. Senrysa Technologies was an early adopter of the India Stack and has pioneered the Aadhaar Enabled Payment System under the flagship of the business correspondent model for masses and has acquired more than 30 million customers till date under this initiative. We take pride in been granted RuPay Certification from NPCI. Senrysa has diversified client base from Public Sector Bank, Private Bank, Regional Rural Bank to Co-operative Banks across India.

Retailtech - NDHGO is an AI-enabled B2B  online ordering platform that empowers small and medium businesses to go online in less than a minute thereby offering unorganized retail players a level playing field to compete with organized aggregators. It will also enable them to sell and market their product offerings online with zero commission. We aim to develop a sustainable online ecosystem for the stores and make their presence digitally discernible and accelerate customer engagement with a mobile first approach and simplicity of adoption where retailers can list their products from the NDHGO Catalogue Builder and share the link to their store with customers through WhatsApp and trending Social Media.  Please refer attached presentation for a quick overview.

Healthtech

Understanding the dire need for new practices and procedures and to ensure that quality and timely healthcare reaches every corner of India, we are into Healthcare. We are developing the most advanced IoT based telemedicine devices, this would advent smart health practices that would help improve quality, increase access and affordability.

Benefits:
Competitive Package
Esops
Retention Bonus
Joining Bonus
Relocation Bonus
Higly skilled team members with vast knowledge & expertise