AWS Data Engineer (Contractual)

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 Title: Business Analyst

Location: Jaipur, Rajasthan

Experience: 1–2 years (preferred)

Employment Type: Full-time, Onsite

Pay Range -4 to 7 LPA

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Role Overview

We are seeking a highly analytical and detail-oriented Business Analyst to evaluate business processes, identify areas of improvement, and provide data-driven insights to support strategic decisions. The ideal candidate will have strong problem-solving skills, the ability to work with cross-functional teams, and experience in analyzing business performance metrics.

Key Responsibilities:

Collect, analyze, and interpret business data, KPIs, and performance metrics.

Identify trends, patterns, risks, and opportunities across business functions.

Evaluate historical and current data to assess business performance and growth direction.

Prepare reports, dashboards, and presentations to communicate findings clearly.

Conduct market and competitor research to benchmark business performance.

Work closely with operations, marketing, product, and finance teams to provide insights.

Recommend process improvements based on analysis and industry best practices.

Assist in forecasting, trend analysis, and strategic planning initiatives.

Ensure data accuracy, consistency, and reliability during analysis.

Required Skills & Qualifications

Bachelor’s degree in Business, Finance, Economics, Engineering, or related field.

1–2 years of experience in Business Analysis or similar analytical role (preferred).

Strong analytical and quantitative skills.

Proficiency in Excel/Google Sheets; experience with SQL, Power BI, or Tableau is a plus.

Excellent communication and presentation skills.

Strong attention to detail and ability to work with large datasets.

Ability to work independently and collaboratively with cross-functional teams.

Preferred Attributes

Strong problem-solving and critical-thinking abilities.

Ability to translate data into actionable business insights.

Understanding of business processes, KPIs, and performance measurement.

Curiosity and a proactive approach to identifying issues and opportunities.

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Why Join Us

Opportunity to work in a fast-growing organization.

Exposure to high-impact decision-making and cross-functional collaboration.

Fast learning environment with strong career-growth potential.

Role – Sr. Devops Engineer

Location - Bangalore

Experience 5+ Years

Responsibilities

• Implementing various development, testing, automation tools, and IT infrastructure
• Planning the team structure, activities, and involvement in project management activities.
• Defining and setting development, test, release, update, and support processes for DevOps operation
• Troubleshooting techniques and fixing the code bugs
• Monitoring the processes during the entire lifecycle for its adherence and updating or creating new processes for improvement and minimizing the wastage
• Encouraging and building automated processes wherever possible
• Incidence management and root cause analysis.
• Selecting and deploying appropriate CI/CD tools
• Strive for continuous improvement and build continuous integration, continuous development, and constant deployment pipeline (CI/CD Pipeline)
• Mentoring and guiding the team members 
• Monitoring and measuring customer experience and KPIs

Requirements

• 5-6 years of relevant experience in a Devops role.
• Good knowledge in cloud technologies such as AWS/Google Cloud.
• Familiarity with container orchestration services, especially Kubernetes experience (Mandatory) and good knowledge in Docker.
• Experience administering and deploying development CI/CD tools such as Git, Jira, GitLab, or Jenkins.
• Good knowledge in complex Debugging mechanisms (especially JVM) and Java programming experience (Mandatory)
• Significant experience with Windows and Linux operating system environments
• A team player with excellent communication skills.

JD for Business Development Executive

Work Timing: 10.30 AM to 7.30 PM

Working Days: Monday to Friday.

Work Location: Chennai

Roles and Responsibilities:

1.Cold Calling, and setting up appointments, lead Generation.

2.Contact potential customers via outbound telephone calls and cold calling for the purpose of selling products and services

3.Maintain a pipeline of qualified, prospective clients

Follow up with clients. Keep a track of potential customers and their requirements.

4.Assist and guide customers with all the required knowledge of the services.

5.Sending proposals and following up for Projects

6.Ensure the premium level of client satisfaction in one phone call.

Meeting monthly and quarterly targets.

Required Candidate profile

Desired Candidate Profile:

1.1-3 years of experience in B2B Sales,Corporates with good communications

2.Should have sound knowledge on IT Technologies

3.Good Excellent written and oral communication.

4.Should be willing to travel for meetings (If required).

5.Proactive and creative thinker.

6.Responsible for achieving the assigned targets

7.Self-Starter and highly motivated.

8.Strong interpersonal, influencing, and negotiation skills.

9.Willingness to learn and be creative within the role.

10.Need to have a hunger for achieving targets.

Selected intern's day-to-day responsibilities include:

1. Conducting market research and analysis to identify potential business opportunities

2. Creating and delivering presentations to potential clients and partners

3. Identifying and contacting potential clients and partners, and following up with leads

4. Assisting with creating sales collateral, such as brochures and presentation

5. Maintaining and updating customer and prospect databases, tracking key metrics, and reporting on performance

6. Staying current with industry trends and best practices, attending conferences and networking events, and sharing knowledge and insights with the team

7. Completing administrative tasks as needed, such as scheduling meetings, organizing files, and managing project timelines

KRONOS WORKFORCE TIMEKEEPER, REPORTING, KRONOS, SQL, SCRUM METHODOLOGY

We are looking for self-motivated backend developers for full-time positions with good skills in NodeJS and Azure.

Selected developer's day-to-day responsibilities include:

1) Write lambda functions and fix bugs - NodeJS on Azure platform

2) Good skills in NodeJS required and good working knowledge in Azure Serverless stack required

3) Preferable to have Azure certifications (Associate or Professional levels)

Salary: INR 2.4L Per Annum (INR 20k per month)

**Who can apply**:

* Final year college / passouts or ones with around 1 year of experience

* Available for full time employment (remote work for the time being)

* Preferably can start immediately

* Have relevant skills and interests

* Women willing to start/restart their career can also apply.

About US: Newbie Soft Solutions is an IT service provider focused on providing solutions in niche areas to support and build future -ready, resilient solutions for medium sized industries and growth-focused technology organizations.

The name NEWBIE signifies a new chapter, a new beginning in the field of staffing solutions. Founded in 2015, we have grown from strength to strength with a strong presence across India, United States and Australia. Our offerings include Staffing Solutions, IT Consulting, Business Intelligence, Security Solutions, Legacy Application Management and Modernization. We value consistency, which is our core principle, to reach the end goal of complete user satisfaction. We constantly strive to outperform our competitors to become the leaders in digital revolution.

• Clear understanding of end to end communication of service calls via API Gateway/Service Mesh/Service Registry
• Experience on Springboot/SpringCloud/Restful Webservices
• Experience in containerisation (Docker) and Kubernetes in terms of creating container images and writing manifest files/helm charts on designing PODs/Side-car patterns etc.
• Good design experience on Web Applications (backend) & since we operate as a DevOps pod we would expect the person be involved in production deployments/support.
• Exposure to usage of CI-CD tools like Git/Jenkins/Maven/Sonar/Junit/CheckMarx/Netsparker/Cucumber