Big Data Developer

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 Description:

As a Data Science Intern, you will collaborate with our data science and analytics teams to work on meaningful projects involving data analysis, predictive modeling, and statistical modeling. You will have the opportunity to apply your academic knowledge in a practical, fast-paced environment, contribute to key data-driven projects, and gain valuable experience with industry-leading tools and technologies.

Responsibilities:

• Assist in collecting, cleaning, and preprocessing data from various sources.
• Perform exploratory data analysis to identify trends, patterns, and anomalies.
• Develop and implement machine learning models and algorithms.
• Create data visualizations and reports to communicate findings to stakeholders.
• Collaborate with team members on data-driven projects and research.
• Participate in meetings and contribute to discussions on project progress and strategy.
• Work with large datasets to clean, preprocess, and analyze data.
• Build and deploy statistical and machine learning models to generate actionable insights.
• Conduct exploratory data analysis (EDA) to uncover trends, patterns, and correlations.
• Assist in the creation of data visualizations and dashboards for reporting insights.
• Support the development and improvement of data pipelines and algorithms.
• Collaborate with cross-functional teams to understand data needs and translate them into actionable analytics solutions.
• Contribute to the documentation and presentation of results, findings, and recommendations.
• Participate in team meetings, brainstorming sessions, and project discussions.

Duration: 03 Months (with the possibility of extending up to 6 months)

MODE: Work From Home (Online)

Requirements:

• Any Graduate / PassOuts / Freasher can apply.
• Currently pursuing a Bachelor's or Master’s degree in Data Science, Computer Science, Mathematics, Statistics, or a related field.
• Proficiency in programming languages such as Python, R, or SQL.
• Strong foundation in statistics, probability, and data analysis techniques.

Benefits

Internship Certificate

Letter of recommendation

Stipend Performance Based

Part time work from home (2-3 Hrs per day)

5 days a week, Fully Flexible Shift

We are looking for a QA Automation  Engineer who understands how to ensure the quality of a product that is changing very fast. If you're passionate about writing code to test financial products at scale , then we want to chat. Are you ready to revolutionize the small business banking industry with us?

About the Role

• Collaborate with developers and product managers to deliver the highest quality with each release
• Own the acceptance criteria process with developers and create detailed, comprehensive, and well-structured test plans and test cases for features
• Create the necessary automation library and framework as required and build automation tests and integrated them to CI/CD pipeline
• Communicate using synchronous and asynchronous channels to collaborate effectively

Requirements for the Role

• 5+ years experience with manual and automation testing
• Experience with QA methodologies for large scale web and mobile applications, understanding of software development process
• Experience with mobile,(android and iOS) web and API automation testing using tools such as Selenium, Appium and Postman
• Demonstrated ability to work well with others in a team environment and with geographically distributed teams
• Experience working with SCM tools like Git
• Experience in implementing CI/CD regression pipelines

"Apply only on this link - https://loginext.recruiterbox.com/jobs/fk0q2b6/" target="_blank">https://loginext.recruiterbox.com/jobs/fk0q2b6/

LogiNext is looking for an experienced and dedicated logistics and supply chain support professional to become a part of our fast growing team. A tech enthusiast that you are, you will be passionate about conveying value to our clients while closing huge and complex deals. With a deep understanding of Enterprise SaaS application, you will offer solutions where LogiNext products can be put to best use helping client’s achieve visionary objectives.

You should be a reliable technical advisor to clients and overcome complicated implementation challenges. You will lead the solution design throughout the sales cycle and deliver ideas and solutions to clients to change their customer’s experience. You should have an intense desire to set the vision transforming business goals into exciting and actionable propositions.

Responsibilities :

• Develop and convey out-of-the-box solutions, along with solution ideas to key decision makers to focus on their business issues
• Understand and articulate the benefits of LogiNext products to educate enterprise clients on the value proposition of our products
• Conduct on-field and on-site Proof of Concepts wherever required to assist clients validate technical requirements
• Associate with Account managers and Business Development managers to pilot complex deal cycles with C-level executives
• Work cross-functionally with business development, marketing, technology and finance team to ensure the timely and successful delivery of the solutions according to customer needs and objectives
• Recognize product and technology disparity with customers and present a point of view to product and leadership teams
• Run change management programs to drive change on the ground by working with client’s on-field workforce at the warehouse or remote branches
• Perform business analytics on the client’s business KPIs and present to the client’s management
• Generate leads by reaching out to prospective clients across countries and time-zones

• Assist business development manager in achieving the sales targets by conducting pilots, showcasing results and building conviction at the client

Requirements :

• Bachelor’s or Master’s Degree in Computer Science, Information Technology, Business Management, Statistics or related field
• 4+ years of experience in technical pre-sales or sales preferably in SaaS companies
• Solid know-how of Enterprise SaaS products
• Ability to multi task at a high degree with passion, strong initiatives and positive attitude
• Advanced skill-set for driving system integrations, gathering requirements, documenting RFI/RFPs and cross-functional project management
• Proficient in Excel and SQL
• Excellent written and verbal communication skills and the ability to persuade, influence, negotiate and make formal presentations in meetings and training environments
• Confident and dynamic working persona, which can bring fun to the team, and sense of humor, is a plus
• Strong organizational skills, judgment and decision-making skills, and the ability to work under continual deadline pressure
• Willingness to travel around 100% of the time within the city and between cities

What you need to have:

 Location: Bangalore, Pune, Noida, Hyderabad and Chennai

Experience: -10- 16 Years

Notice period: immediate Joiner.

Job Description :

1)SAP FI Consultant Chartered Accountant or MBA from premier institutions.

2)Knowledge of IAS/US GAAP/IFRS preferred8- 10 years of relevant SAP Experience.

3)Should have worked on at least 3 end to end implementations or 2 end to end implementations and 1 roll out projects Relevant domain experience and in his domain he should have worked in finance function in a manufacturing vertical Good knowledge in SAP Financial and Managerial Accounting solution.

4)Working experience in New GL, AP, AR, AA, CCA, PCA, Product Costing and COPA Experience in supporting Accounting: Month-End-Closing and Year-End-Closing Strong understanding of integration with other modules controlling, Cash Management and/or Project System Deliver of New Business Request/ Change Request with good quality, the defined timeline and the defined budget.

5)Experience of IDOC ,Interfaces ,LSMW, BAPI ,workflow knowledge & Analyse clients business needs & opportunity to propose the matching solution to client Good verbal and written communication skills.

6)Poses consultancy, problem solving and analytical skills Strong client facing Demonstrate the ability to plan, run, and manage and sustain the operation support service delivery according to agreed SLA with quality and customer satisfaction by following ITSMSAP Certification in Financials desirable Leading the team(s) they are assigned to, in functional capacity, adding value to the project and to the final deliverables Ready to travel for assignments (short term and long term)Minimum 4 Global project experience is must

Mandatory skills -  SAP FI

• Developing, maintaining, and managing advanced reporting, analytics, dashboards and other BI solutions.
• Performing and documenting data analysis, data validation, and data mapping/design.
• Reviewing and improving existing systems and collaborating with teams to integrate new systems.
• Conducting unit tests and developing database queries to analyze the effects and troubleshoot any issues.
• Creating tools to store data within the organization.

We are on a quest to find a Senior Software Developer - Scala with several years of experience who will help us in extending and maintaining our platform

 You will join a cross functional team with different nationalities, backgrounds and experience levels. The agile team is co-located including the Product Managers

You will collaborate with all team members in order to deliver the best solutions that enhance our platform

About Springer Nature India Pvt. Ltd:

 Springer Nature opens the doors to discovery for researchers, educators, clinicians and other professionals. Every day, around the globe, our imprints, books, journals, platforms and technology solutions reach millions of people. For over 175 years our brands and imprints have been a trusted source of knowledge to these communities and today, more than ever, we see it as our responsibility to ensure that fundamental knowledge can be found, verified, understood and used by our communities – enabling them to improve outcomes, make progress, and benefit the generations that follow.

Visit: http://group.springernature.com">group.springernature.com and follow @SpringerNature

If you are still wondering, why should you work with us. Here are 5 reasons why?

1. Springer Nature is one of the world's largest publishing company. Nobel laureates publish their research at Springer.
2. We are truly a digital organization and Springer Nature Pune is at the helm of this digitization.
3. We not only believe but preach providing good work life balance to our employees.
4. We are investing in building our products using machine learning and NLP.
5. We work in latest technologies like AWS and Scala.

About the team:

Backend - Adis – PV is a scientific analysis platform being built for extracting content from scientific articles and providing meaningful insights

Insights are then published in a structured way, so that they can be made accessible to end users, via feeds delivery or through the platform

Backend - Adis – PV will be a production system for all databases under one IT landscape and under one umbrella.

Job Type: Permanent    
                                   

Job Location: Magarpatta City, Pune - India  (Work from home until further notice)

Years of Experience 6 to 10 years

What we are looking for

Educational Qualification:

B.Sc., BCA, BCS, B.E., B.Tech, M.Tech, MCA and M.Sc.

Skill Matrix:

Primary Language Skills: Java 8, Scala

Framework: Play Framework

Messaging: Rabbit MQ

Ideologies: TDD / ATDD, Pair Programming

Database: SQL and NoSQL

Challenges

• You will help us continuously improving our platform
• Together we will create best in class services that support the needs of our customers
• Taking part of team ceremonies like grooming, planning and retrospective
• Develop new features
• Improve code quality by doing pair programming or code reviews
• Continuously improve and monitor our product
  
  

Key Responsibilities

• Own and consistently deliver high quality end-to-end product features keeping in view technical & business expectations
• Add meaty features to the product which will deliver substantial business value
• Pioneer clean coding and continuous code refactoring
• Understands and appreciates existing design and architecture of the product
• Understands pros and cons of various technology options available
• Takes technical ownership of some of sub-systems of the product
• Makes changes in the product designs to achieve required business value / mileage
• Identify and addresses technical debts
• Understands technical vision and road-map of the product and expectations
• Understands purview of key pieces of deliverables and own few of these pieces

Day at work

• Pioneer proof of concepts of new technologies keeping in view product road-map and business priorities
• Self-study and share his / her learning within the team and across teams
• Provide required help to other team-members
• Pioneer in various team events and work towards objectives of these events
• Make meaningful suggestions to make ceremonies more effective
  
  

About You

• You have several years of experience with Software Development
• You have worked successfully with product teams in the past and ideally have some experience with mentoring junior developers
• You like working in a collaborative environment where there is collective ownership of the code
• You work in a Continuous Integration and always strive for Continuous Delivery
• You like to share and enable others to increase your whole team's performance