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● Engage with potential customers through real-time chat conversations.
● Understand customer requirements and provide accurate information about our VoIP products and services.
● Assist in converting leads into sales through effective communication.
● Maintain a friendly, professional, and persuasive tone in all chat interactions.
● Keep records of interactions and follow-ups using CRM tools.
● Work closely with the team for service activation, pricing, and clarifications.
● Learn continuously about VoIP products, telecom basics, and sales techniques.
Job Description
Managing a portfolio of SME clients, monitoring their insurance needs, and proactively engaging with them to ensure client satisfaction and retention.
Developing and maintaining strong relationships with SME clients, understanding their business needs, and providing personalized service.
Identifying and pursuing new business opportunities within the SME sector to grow the insurance company's client base and revenue.
Ensuring smooth and efficient service delivery to SME clients, addressing their queries and concerns promptly.
Managing a portfolio of SME clients, monitoring their insurance needs, and proactively engaging with them to ensure client satisfaction and retention.
Selling insurance products and services to SMEs, as well as cross-selling other relevant financial products offered by the company
Working with internal teams and customer service, to facilitate seamless service delivery to SME clients.
Skills and Qualifications:
- Excellent communication, interpersonal, and negotiation skills.
- Proven track record of achieving sales targets and identifying new business opportunities.
- Understanding of various insurance products and policies relevant to SMEs.
- Providing customer service and building long-term relationships.
- Well Experienced & Familiarity with the unique needs and challenges of SME businesses.
- Bachelor’s Degree.
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: Field Sales Engineer (Civil/Construction)
Locations:
- Kolkata (Bhagwati Region)
- Mumbai / Navi Mumbai
- Bangalore
Experience: 1 – 2 Years Job Type: Full-time
Job Overview
We are looking for a dynamic and results-driven Field Sales Engineer to join our team. The ideal candidate should have a background in Civil Engineering (Diploma or Degree) combined with a passion for sales. You will be responsible for visiting construction sites, meeting with contractors and builders, generating new business, and closing deals.
Key Responsibilities
- Lead Generation: actively scout for new construction projects and potential clients (Builders, Contractors, Architects, and Civil Engineers) in the assigned territory.
- Field Visits & Cold Calling: Conduct daily field visits and cold calls to establish contact with decision-makers at construction sites.
- Technical Sales: Explain the technical specifications and benefits of our products/services to potential clients using your civil engineering knowledge.
- Proposal Management: Prepare and share accurate commercial quotations and technical proposals with clients.
- Closing Deals: Follow up on submitted quotations, negotiate pricing and terms, and successfully close sales to achieve monthly revenue targets.
- Relationship Building: Maintain strong, long-term relationships with existing clients to ensure repeat business.
- Reporting: Maintain daily reports of site visits, calls made, and effective sales pipeline status.
Requirements & Qualifications
- Education: Diploma in Civil Engineering or B.E./B.Tech in Civil Engineering (Strictly Required).
- Experience: 1 to 2 years of experience in Field Sales, Business Development, or Marketing within the Construction/Building Materials industry.
- Technical Knowledge: Strong understanding of construction processes, materials, and site terminology.
- Travel: Must be willing to travel extensively within the city/region for site visits.
- Skills:
- Excellent negotiation and convincing skills.
- Proficiency in local language (depending on location) and English.
- Basic computer skills (Excel/Email) for quotation sharing.
What We Offer
- Competitive Salary + Attractive Sales Incentives.
- Travel Allowances.
- Opportunity for career growth in the construction sales sector.
We are seeking an experienced .NET Developer with Angular expertise to join our team
in Kolkata. In this role, you will design, develop, and maintain full-stack web applications
using .NET and Angular technologies, collaborating with cross-functional teams to
deliver high-quality software solutions.
Key Responsibilities:
Develop and maintain applications using .net Framework, .net Core, Angular 16,
LINQ, and SQL Server.
Write clean, efficient, and maintainable code following best practices
Design and implement database structures using SQL Server/Entity Framework
Create responsive user interfaces using Angular and related technologies
Participate in all phases of the software development lifecycle
Debug, troubleshoot, and resolve technical issues
Collaborate with team members and stakeholders to understand requirements
Mentor junior developers and participate in code reviews
Required Skills and Experiences:
5 to 15 years of professional experience in .NET development (.NET Framework,
C#, ASP.NET, .NET Core)
2+ years of hands-on experience with Angular 16
Strong knowledge of SQL Server and Entity Framework
Experience with RESTful API design and implementation
Proficiency in HTML, CSS, JavaScript/TypeScript
Understanding of software design patterns and SOLID principles
Experience with version control systems (Git,Bitbucket)
Excellent problem-solving and communication skills
Experience with Azure or AWS cloud services
Knowledge of CI/CD pipelines and DevOps practices
Familiarity with Agile/Scrum methodologies
We are hiring a Java Production Support Engineer with hands-on experience in Java, Spring Boot, and Splunk. You’ll be responsible for ensuring smooth functioning of our production systems by proactively monitoring, troubleshooting, and resolving issues in real time.
Key Responsibilities
- Provide L2/L3 support for Java/Spring Boot-based applications in production.
- Monitor logs and system health using Splunk and other observability tools.
- Troubleshoot performance, latency, and availability issues.
- Perform root cause analysis (RCA) and work with dev teams for permanent fixes.
- Support incident and change management processes.
- Create and maintain runbooks and support documentation.
Must-Have Skills
- Strong knowledge of Java, Spring Boot, and REST APIs.
- Proficient in using Splunk for log analysis and monitoring.
- Good understanding of relational databases (SQL) and Linux commands.
- Experience with CI/CD tools (Jenkins, Git) and basic scripting (Bash, Python).
- Analytical thinking and excellent problem-solving skills.
Hiring for Full stack Developer for a reputed Company at Ecospace, Rajarhat
Skills required:
React JS, Node JS, Angular must have
Python is an added advantage
Experience: 2 to 5 yrs
Working Days: 5 days working with Rotational Off
Salary - 30k to 70k as per the experience
This is a Work from Office Job
life cycle activities like HR Benefits
administration, Rewards and
compensation administration,
Workforce administration, , case
management, helpdesk, etc.
System data entry experience
(Oracle HCM, Taleo,
SuccessFactors, etc.)
Experience of maintaining data in
excel, Pivot, V Look up
Good working knowledge of MS
Office
Handle complex problems raised by
client and provide solution
Handle the client communication
and client Reporting
Excellent job organization and time
management skills
Attention to details and very good
analytical skills;
Good communication skills
Interaction with Client daily via
phone, chat and email, work on
resolving HR related issues,
cooperate with other delivery team
members
Job Description:-
- Must have 8 years of relevant exp in SAP PP, QM Module.
- Must have 4+ years of SAP PP Experience with at least 2 to 3years of Domain exp
- Must have experience of both PP and QM modules
- Should have experience of executing 1-2End to end Implementations (S4 HANA Preferable).
- Expertise in requirements understanding, system design, development, testing methodologies, training, defining support procedures
- Strong knowledge and experience in SAP PP - SOP, Flexible planning, Capacity planning, Variant Configuration, CBP, Discrete, REM, LTP, Engineering & Organization Change Management, Batch Management as well as PP-PI processes.
- Strong knowledge and experience in SAP QM module - Master data, Batch Management, Notifications, Sample Management, Quality Inspection Plans, Quality Certificates, Stability Study, Deadline Monitoring, Vendor Evaluation.
- Experience in Implementation and Support Projects. In-depth knowledge in the below areas:
- Master Data - Bill of materials, Work centres/ Resources, Routings/ Recipe, Production versions, Inspection Plan, Master inspection, Characteristics, Catalogues and Code groups, Inspection Plan, - Material Requirement Planning (MRP)- Configuration and Integration with, Procurement, Sales and Distribution.
- Production Order Execution - Order confirmation, Goods issue, Goods receipt and Back flushing- Quality Management - Quality in Procurement, Quality in Production, In process inspection, Calibration and Quality in Sales
- Should have experience in writing Functional Specification, co-ordination with ABAP team, testing of new functionalities.
- Must have integration knowledge with FI, CO, SD, MM, PM modules.
Good to Have:
- Preferred if hands-on and good experience in SAP S/4 HANA configuration, migration, Fiori applications on latest HANA releases
- email designing
- know-how of wikipedia and how to add/edit articles
- SEO
- Tags Implementation
- keyword research
- back links research & building
- IMDb Page maintenance






