Civil Engineer

Role: SDET

Core Testing Competencies

• Strong understanding of STLC and Agile methodologies
• Experience in Integration, System, UAT, Regression, and Sanity testing
• Hands-on experience in E-commerce application testing
• API testing using tools like Postman / SoapUI
• Mobile testing on iOS and Android (real devices/emulators)
• Cross-browser web testing

Automation Skills

• Designing and maintaining automation frameworks:
• Page Object Model (POM)
• Data-Driven and Keyword-Driven frameworks
• Programming languages: Java, JavaScript
• Web automation: Puppeteer
• Mobile automation: Appium, WebdriverIO
• CI/CD integration using Jenkins
• Backend automation using JUnit (good to have)

Tools & Technologies

• Test management & documentation: Jira, Confluence
• Defect tracking: Jira, Excel
• Proxy tools: Charles
• Databases: SQL (MySQL, PostgreSQL, Oracle) for backend validation
• Browser debugging & network inspection: Chrome DevTools

Other Key Skills

• Test documentation and bug reporting
• RTM (Requirement Traceability Matrix)
• Strong analytical and problem-solving skills

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

 Optimize website content, structure, and performance.

- Conduct keyword research and implement on/off-page SEO.

- Manage and optimize PPC campaigns on platforms like Google Ads.

- Create, schedule, and manage engaging social media content.

- Monitor, measure, and analyze digital marketing performance using tools like Google Analytics.

- Keep up-to-date with industry trends and best practices.

We are seeking a dedicated and skilled AI Project Field Engineer to join our team. The successful candidate will be responsible for executing AI projects on-site, ensuring the seamless deployment and operation of AI models and systems. This role requires a combination of technical expertise, problem-solving skills, and a strong customer focus.

Responsibilities:

• Execute and manage AI projects on customer sites, ensuring timely and successful deployment.
• Deploy and run AI models using PyTorch on various hardware configurations.
• Set up and maintain computer networks, particularly those involving IP cameras.
• Write and maintain shell scripts to automate deployment and monitoring tasks.
• Develop and troubleshoot Python code related to AI models and their deployment.
• Collaborate with customers to understand their needs and ensure their success with our AI solutions.
• Perform on-site visits as required to install, test, and troubleshoot AI systems.
• Provide training and support to customers on the use and maintenance of deployed AI systems.
• Work closely with the development team to provide feedback and insights from the field.
• Document all processes, configurations, and customer interactions for future reference.

Customer Support at Contlo

Contlo is a pioneering AI native marketing platform that empowers modern, fast-growing businesses to leverage their brand's generative AI Model for end-to-end marketing optimization. Our platform enables businesses to drive customer retention through personalised campaigns and automated customer journeys across various channels, including Email, SMS, WhatsApp, Web push, and Social media.

With Contlo's Brand AI ModelTM, businesses can orchestrate all their brand marketing activities by generating personalised marketing creatives and copies, creating behaviour-based customer segments, and auto-generating customer journeys. As the Brand AI ModelTM is utilized, it continuously learns, improving marketing outcomes and enhancing sales performance.

At Contlo, we are looking for a Customer Support Specialist to assist our customers with technical problems when using our products and services.

Customer Support Specialist responsibilities include resolving customer queries, recommending solutions and guiding product users through features and functionalities. To succeed in this role, you should be an excellent communicator who can earn our clients’ trust. You should also be familiar with help desk software.

Ultimately, you will help establish our reputation as a company that offers excellent customer support during all sales and after-sales procedures.

Responsibilities-

• ● Respond to customer queries in a timely and accurate way, via phone, email or chat
• ● Identify customer needs and help customers use specific features
• ● Analyze and report product malfunctions (for example, by testing different scenarios or
• impersonating users)
• ● Update our internal databases with information about technical issues and useful
• discussions with customers
• ● Monitor customer complaints on social media and reach out to provide assistance
• ● Share feature requests and effective workarounds with team members
• ● Inform customers about new features and functionalities
• ● Follow up with customers to ensure their technical issues are resolved
• ● Gather customer feedback and share with our Product, Sales and Marketing teams
• ● Assist in training junior Customer Support Representatives

Requirements and skills-

• ● Experience as a Customer Support Specialist or similar CS roles
• ● Familiarity with our IT SaaS industry is a must
• ● Experience using help desk software and remote support tools
• ● Understanding of how CRM systems work
• ● Excellent communication and problem-solving skills
• ● Multi-tasking abilities
• ● Patience when handling tough cases
• ● B.Tech/BCA degree 

About Us:

We’re a team of finance and technology enthusiasts who enjoy revolutionizing the investment industry through digital products & services. We’re building the next generation investment management platform for our financial professional customers so they can build better investment portfolios & help their clients retire in style.

If you're looking for challenging work, smart colleagues, and a global employer with a social conscience, come explore your potential at Invesco. Make a difference every day!

Responsibilities:

• Design, develop, test, deploy and maintain highly performant api-driven web applications on our stack (Angular, React, SASS, Java SpringBoot, Mulesoft).
• Design and implement REST APIs to industry/company standards
• Work with our amazing product design team to develop and iterate on user interfaces that bring simplicity to complicated financial data.
• Interact with engineering members across the organization to ensure consistency in engineering practices and foster active exchange of ideas
• We have development centers in Atlanta, Houston, New York City and India and the ability to collaborate across a global organization is a key skill.
• Perform peer code reviews. Review performance, security and flexibility of the code.
• Participating in agile ceremonies (e.g. daily standup, release and sprint planning, demos, scrum of scrums).
• Work with Architect to define technical roadmaps
• Participate and help to evangelist and promote enterprise solutions with business and technology partners

The Experience You Bring:

• 2+ years experienced in front-end frameworks, such as Angular and React
• 3+ years experience in back-end technologies, such as Node.JS, ExpressJS, or Java Springboot
• 1+ years experience with Mulesoft or API development
• Experience with core AWS services
• Experience working in an Agile team and environment
• Familiarity with software engineering support systems and tools, such as Git, Jenkins, Bamboo, Gulp, Bower, Maven, Log4j
• Familiar with SSO solutions, such as SAML, OAuth, OpenID a plus
• Knowledge of the Financial Services industry a plus
• Good to have:
• Experience with DevOps tools like Docker, Kubernetes, Jenkins, etc.
• Experience in developing microservices-based architectures
• Knowledge of frontend technologies like HTML, CSS, and JavaScript
• Experience with Python technologies

Desired Candidate Profile

JD for IOT DE:

The role requires experience in Azure core technologies – IoT Hub/ Event Hub, Stream Analytics, IoT Central, Azure Data Lake Storage, Azure Cosmos, Azure Data Factory, Azure SQL Database, Azure HDInsight / Databricks, SQL data warehouse.

You Have:

• Minimum 2 years of software development experience
• Minimum 2 years of experience in IoT/streaming data pipelines solution development
• Bachelor's and/or Master’s degree in computer science
• Strong Consulting skills in data management including data governance, data quality, security, data integration, processing, and provisioning
• Delivered data management projects with real-time/near real-time data insights delivery on Azure Cloud
• Translated complex analytical requirements into the technical design including data models, ETLs, and Dashboards / Reports
• Experience deploying dashboards and self-service analytics solutions on both relational and non-relational databases
• Experience with different computing paradigms in databases such as In-Memory, Distributed, Massively Parallel Processing
• Successfully delivered large scale IOT data management initiatives covering Plan, Design, Build and Deploy phases leveraging different delivery methodologies including Agile
• Experience in handling telemetry data with Spark Streaming, Kafka, Flink, Scala, Pyspark, Spark SQL.
• Hands-on experience on containers and Dockers
• Exposure to streaming protocols like MQTT and AMQP
• Knowledge of OT network protocols like OPC UA, CAN Bus, and similar protocols
• Strong knowledge of continuous integration, static code analysis, and test-driven development
• Experience in delivering projects in a highly collaborative delivery model with teams at onsite and offshore
• Must have excellent analytical and problem-solving skills
• Delivered change management initiatives focused on driving data platforms adoption across the enterprise
• Strong verbal and written communications skills are a must, as well as the ability to work effectively across internal and external organizations
   

Roles & Responsibilities
 

You Will:

• Translate functional requirements into technical design
• Interact with clients and internal stakeholders to understand the data and platform requirements in detail and determine core Azure services needed to fulfill the technical design
• Design, Develop and Deliver data integration interfaces in ADF and Azure Databricks
• Design, Develop and Deliver data provisioning interfaces to fulfill consumption needs
• Deliver data models on Azure platform, it could be on Azure Cosmos, SQL DW / Synapse, or SQL
• Advise clients on ML Engineering and deploying ML Ops at Scale on AKS
• Automate core activities to minimize the delivery lead times and improve the overall quality
• Optimize platform cost by selecting the right platform services and architecting the solution in a cost-effective manner
• Deploy Azure DevOps and CI CD processes
• Deploy logging and monitoring across the different integration points for critical alerts