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• OWASP Secure Code review,• Basic programing knowledge in any programming language and knowledge on secure development practices.
• OWASP TOP 10 vulnerabilities and their mitigations
• Hands on experience in Web Application Security Testing tools (SAST & DAST) and Penetration testing tools such as HP Fortify, Checkmarx, Acunetix, Nessus, Burp Suite, Metasploit., Qualys Guard, Kali Linux , etc.
• Understand/modify exploit code and find logical security flaws in applications
• Should have knowledge and experience on Network Security, Application Security, Internet Security, attack vectors.
• To carry out technical vulnerability assessments, identify potential vulnerabilities and provide recommended controls and support to mitigate them.

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 PURPOSE

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• Develop .NET Core applications using React JS reusable components as per need / client specifications
• This is a hands-on role which involves writing code, testing, and deploying finished web applications and libraries

MAJOR ACCOUNTABILITY

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• Design, rapid prototype, and implement a scalable, reliable and maintainable node based web application
• Enforce code quality through test driven development
• Enhance, refactor, and continuously improve the existing codebase
• Collaborate closely with team to define product requirements
• Aggressively collect, analyse, and act on data about product performance
• Communicate effectively with technical and non-technical people
• Proactive in keeping your skills updated

ESSENTIAL SKILLS & EXPERIENCE

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• Excellent working knowledge of .NET Core, React JS, JavaScript.
• 4-6 year's overall .NET development experience (At least 2 years of experience in React JS)
• Experience in working with databases - SQL and Non-SQL Databases
• Experience in any visualization JS libraries like D3 JS / Charts JS / Sync Fusion / Fusion Charts will be an added advantage.
• GraphQL
• Hooks 
• Redux / Flux 
• TypeScript 

EDUCATION

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• Minimum education: Any Graduate BE / B.Tech would be desirable
• Languages: Excellent English written & spoken

We are a rapidly expanding global technology partner, that is looking for a highly skilled Senior (Python) Data Engineer to join their exceptional Technology and Development team. The role is in Kolkata. If you are passionate about demonstrating your expertise and thrive on collaborating with a group of talented engineers, then this role was made for you!

At the heart of technology innovation, our client specializes in delivering cutting-edge solutions to clients across a wide array of sectors. With a strategic focus on finance, banking, and corporate verticals, they have earned a stellar reputation for their commitment to excellence in every project they undertake.

We are searching for a senior engineer to strengthen their global projects team. They seek an experienced Senior Data Engineer with a strong background in building Extract, Transform, Load (ETL) processes and a deep understanding of AWS serverless cloud environments.

As a vital member of the data engineering team, you will play a critical role in designing, developing, and maintaining data pipelines that facilitate data ingestion, transformation, and storage for our organization.

Your expertise will contribute to the foundation of our data infrastructure, enabling data-driven decision-making and analytics.

Key Responsibilities:

• ETL Pipeline Development: Design, develop, and maintain ETL processes using Python, AWS Glue, or other serverless technologies to ingest data from various sources (databases, APIs, files), transform it into a usable format, and load it into data warehouses or data lakes.
• AWS Serverless Expertise: Leverage AWS services such as AWS Lambda, AWS Step Functions, AWS Glue, AWS S3, and AWS Redshift to build serverless data pipelines that are scalable, reliable, and cost-effective.
• Data Modeling: Collaborate with data scientists and analysts to understand data requirements and design appropriate data models, ensuring data is structured optimally for analytical purposes.
• Data Quality Assurance: Implement data validation and quality checks within ETL pipelines to ensure data accuracy, completeness, and consistency.
• Performance Optimization: Continuously optimize ETL processes for efficiency, performance, and scalability, monitoring and troubleshooting any bottlenecks or issues that may arise.
• Documentation: Maintain comprehensive documentation of ETL processes, data lineage, and system architecture to ensure knowledge sharing and compliance with best practices.
• Security and Compliance: Implement data security measures, encryption, and compliance standards (e.g., GDPR, HIPAA) as required for sensitive data handling.
• Monitoring and Logging: Set up monitoring, alerting, and logging systems to proactively identify and resolve data pipeline issues.
• Collaboration: Work closely with cross-functional teams, including data scientists, data analysts, software engineers, and business stakeholders, to understand data requirements and deliver solutions.
• Continuous Learning: Stay current with industry trends, emerging technologies, and best practices in data engineering and cloud computing and apply them to enhance existing processes.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
• Proven experience as a Data Engineer with a focus on ETL pipeline development.
• Strong proficiency in Python programming.
• In-depth knowledge of AWS serverless technologies and services.
• Familiarity with data warehousing concepts and tools (e.g., Redshift, Snowflake).
• Experience with version control systems (e.g., Git).
• Strong SQL skills for data extraction and transformation.
• Excellent problem-solving and troubleshooting abilities.
• Ability to work independently and collaboratively in a team environment.
• Effective communication skills for articulating technical concepts to non-technical stakeholders.
• Certifications such as AWS Certified Data Analytics - Specialty or AWS Certified DevOps Engineer are a plus.

Preferred Experience:

• Knowledge of data orchestration and workflow management tools
• Familiarity with data visualization tools (e.g., Tableau, Power BI).
• Previous experience in industries with strict data compliance requirements (e.g., insurance, finance) is beneficial.

What You Can Expect:

- Innovation Abounds: Join a company that constantly pushes the boundaries of technology and encourages creative thinking. Your ideas and expertise will be valued and put to work in pioneering solutions.

- Collaborative Excellence: Be part of a team of engineers who are as passionate and skilled as you are. Together, you'll tackle challenging projects, learn from each other, and achieve remarkable results.

- Global Impact: Contribute to projects with a global reach and make a tangible difference. Your work will shape the future of technology in finance, banking, and corporate sectors.

They offer an exciting and professional environment with great career and growth opportunities. Their office is located in the heart of Salt Lake Sector V, offering a terrific workspace that's both accessible and inspiring. Their team members enjoy a professional work environment with regular team outings. Joining the team means becoming part of a vibrant and dynamic team where your skills will be valued, your creativity will be nurtured, and your contributions will make a difference. In this role, you can work alongside some of the brightest minds in the industry.

If you're ready to take your career to the next level and be part of a dynamic team that's driving innovation on a global scale, we want to hear from you.

Apply today for more information about this exciting opportunity.

Onsite Location: Kolkata, India (Salt Lake Sector V)

• Develop a company's strategy around technology and product to ensure alignment with its business goals.
• Provide technical vision and strategy for the team.
• Own technical architecture for the application and infrastructure for the product
• Discover and help implement new technologies that yield competitive advantage
• Supervise system infrastructure to ensure functionality and efficiency
• Build quality assurance, data protection and security processes
• Use stakeholders’ feedback to inform necessary improvements and adjustments to technology
• Communicate technology strategy to partners and investors
• Setting a vision for how technology will be used in the company.
• Ensuring that technological resources meet the company's short and long-term needs.
• Creating timelines for the development and deployment of all technological services.
• Making executive decisions on behalf of the company's technological requirements.
• Managing technology budgets and time frames.
• Staying on top of technology trends and developments.
• Lead the team on design and execution of the engineering roadmap with a focus on engineering excellence in all aspects of the execution.
• Establish repeatable processes and methods that ensure a high level of productivity, quality, and reliability.
• Proven experience as a Project Head or similar leadership role with 5+ years of experience in a technology leadership role
• BSc/BA in Computer Science, Engineering or a related field; MS/MBA or other relevant graduate degree is a plus.
• Must have hands-on experience in Java, Front end technologies like Bootstrap, jQuery, Angular, AWS, Modular software development, multi-tenant architecture and highly scalable systems and Server Operating systems internals, benchmarking and performance tuning (Linux & Windows)
• Knowledge of technological trends to build strategy
• Ability to conduct technological analyses and research
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