Presales - IT

🎨 UI/UX Design Internship (3 Months)

Location: [ “Remote”]

Duration: 3 Months

Stipend: ₹5,000 – ₹7,000 per month

Internship Type: / Remote

About the Role

We are looking for a passionate and creative UI/UX Design Intern to join our design team. This internship offers hands-on experience in user interface design, user experience research, and product prototyping.

You’ll collaborate with developers, product managers, and marketing teams to create intuitive and visually appealing digital experiences.

Key Responsibilities

• Assist in designing user interfaces for web and mobile applications
• Conduct user research and usability testing to understand user needs
• Create wireframes, mockups, and interactive prototypes using design tools
• Support in defining user journeys and information architecture
• Collaborate with developers to ensure design consistency during implementation
• Help maintain and improve design systems and UI components
• Stay updated with the latest UI/UX trends and best practices

Required Skills

• Proficiency in Figma, Adobe XD, or Sketch
• Basic understanding of user-centered design principles
• Creative thinking and strong attention to detail
• Good communication and teamwork skills
• Ability to translate ideas into design visuals
• Familiarity with tools like Canva, Illustrator, or Photoshop (optional but a plus)

Eligibility

• Students / Recent graduates in Design, Computer Science, Fine Arts, or related fields
• A portfolio or sample work demonstrating UI/UX projects (academic or personal)
• Available for a 3-month full-time internship
• Immediate joiners preferred

Perks & Benefits

• Internship Certificate
• Letter of Recommendation (based on performance)
• Real-world experience in UI/UX design projects
• Mentorship from experienced designers
• Opportunity for a full-time role after internship

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

Why Join

This role is ideal for someone who thrives in dynamic, fast-paced environments and wants to contribute to building premium, high-quality interiors. As a Site Engineer / Project Manager, you’ll play a crucial role in ensuring seamless execution of projects, client satisfaction, and maintaining reputation for excellence.

Key Responsibilities

• Manage site execution and ensure timely completion of projects.
• Coordinate with vendors, contractors, and designers.
• Oversee project budgets, timelines, and quality control.
• Ensure compliance with safety standards and design specifications.
• Act as the bridge between clients and the execution team.

Requirements

• Experience in interior design / construction projects.
• Strong knowledge of materials, drawings, and execution standards.
• Excellent communication and people management skills.
• Ability to handle multiple projects simultaneously.

What You’ll Gain

• Direct exposure to high-end interior design projects with one of India’s most renowned design firms.
• Opportunity to work closely with expert teams across design and execution.
• Career growth in a premium lifestyle and design-focused environment.
• Hands-on experience in delivering luxury interiors from concept to completion.

Perks

• Competitive compensation package.
• Exposure to exclusive design projects and premium clientele.
• A collaborative, creative, and entrepreneurial culture.

Kindly acknowledge this email, and please feel free to reach out to me in case of any queries or clarifications.

Company Description

VMax e-Solutions India Private Limited, based in Hyderabad, is a dynamic organization specializing in Open Source ERP Product Development and Mobility Solutions. As an ISO 9001:2015 and ISO 27001:2013 certified company, VMax is dedicated to delivering tailor-made and scalable products, with a strong focus on e-Governance projects across multiple states in India. The company's innovative technologies aim to solve real-life problems and enhance the daily services accessed by millions of citizens. With a culture of continuous learning and growth, VMax provides its team members opportunities to develop expertise, take ownership, and grow their careers through challenging and impactful work.

About the Role

We’re hiring a Senior Data Scientist with deep real-time voice AI experience and strong backend engineering skills.

1. You’ll own and scale our end-to-end voice agent pipeline that powers AI SDRs, customer support 2. agents, and internal automation agents on calls. This is a hands-on, highly technical role where you’ll design and optimize low-latency, high-reliability voice systems.

3. You’ll work closely with our founders, product, and platform teams, with significant ownership over architecture, benchmarks.

What You’ll Do

1. Own the voice stack end-to-end – from telephony / WebRTC entrypoints to STT, turn-taking, LLM reasoning, and TTS back to the caller.

2. Design for real-time – architect and optimize streaming pipelines for sub-second latency, barge-in, interruptions, and graceful recovery on bad networks.

3. Integrate and tune models – evaluate, select, and integrate STT/TTS/LLM/VAD providers (and self-hosted models) for different use-cases, balancing quality, speed, and cost.

4. Build orchestration & tooling – implement agent orchestration logic, evaluation frameworks, call simulators, and dashboards for latency, quality, and reliability.

5. Harden for production – ensure high availability, observability, and robust fault-tolerance for thousands of concurrent calls in customer VPCs.

6. Shape the voice roadmap – influence how voice fits into our broader Agentic OS vision (simulation, analytics, multi-agent collaboration, etc.).

You’re a Great Fit If You Have

1. 6+ years of software engineering experience (backend or full-stack) in production systems.

2. Strong experience building real-time voice agents or similar systems using:

STT / ASR (e.g. Whisper, Deepgram, Assembly, AWS Transcribe, GCP Speech)

TTS (e.g. ElevenLabs, PlayHT, AWS Polly, Azure Neural TTS)

VAD / turn-taking and streaming audio pipelines

LLMs (e.g. OpenAI, Anthropic, Gemini, local models)

3. Proven track record designing and operating low-latency, high-throughput streaming systems (WebRTC, gRPC, websockets, Kafka, etc.).

4. Hands-on experience integrating ML models into live, user-facing applications with real-time inference & monitoring.

5. Solid backend skills with Python and TypeScript/Node.js; strong fundamentals in distributed systems, concurrency, and performance optimization.

6. Experience with cloud infrastructure – especially AWS (EKS, ECS, Lambda, SQS/Kafka, API Gateway, load balancers).

7. Comfortable working in Kubernetes / Docker environments, including logging, metrics, and alerting.

8. Startup DNA – at least 2 years in an early or mid-stage startup where you shipped fast, owned outcomes, and worked close to the customer.

Nice to Have

1. Experience self-hosting AI models (ASR / TTS / LLMs) and optimizing them for latency, cost, and reliability.

2. Telephony integration experience (e.g. Twilio, Vonage, Aircall, SignalWire, or similar).

3. Experience with evaluation frameworks for conversational agents (call quality scoring, hallucination checks, compliance rules, etc.).

4. Background in speech processing, signal processing, or dialog systems.

5. Experience deploying into enterprise VPC / on-prem environments and working with security/compliance constraints.

Job Title: DGM / GM- Sales Training

Company: Urbanrise (www.urbanrise.in)

Location: Chennai

Job Type: Full-Time

Experience: Min. 15 -20 years

Reports to: VP Sales and Executive Director – Sales & Marketing

Education: MBA from a reputed institute

Responsibilities:

•         Responsible in providing training to all the sales force/CRM and Team Leaders. Hand-hold the process improvements.

•         Preparing training calendar for the year.

•         Focus on sales Conversations, use process-oriented approach that can increase sales.

•         Conduct skill gap analysis, Performance Management Process and develop a Learning and skillset building strategy across levels.

•         Plan and execute month on month training program to the sales team.

•         Lead a team of trainers and manage training effectiveness for each location.

•         Design the training content, training mode and execute all the training programs.

•         Provide on job training to the frontline sales/CRM team as and when required.

•         Measure the training effectiveness and organize trainings on the sales training provided.

•         Provide frequent training to low performers and able to mentor, coach, motivate and make them perform.

•         The above roles and responsibilities include, but are not limited to performing and coordinating a variety of duties and tasks assigned from time to time.

Desirable Skills and Qualifications:

•         15-20 years of experience in Sales domain and working as a Sales Trainer for the last 5+ years.

•         Experience in consultative sales will be an added advantage.

•         Should have managed large scale / multi locational training as a function

•         Should have in-depth understanding of sales training needs, processes and handled the sales training function strategically for at least 4-5 years.

•         Should able to train on Sales Techniques/ Soft Skills/Behaviour/Motivational/latest trends in sales, marketing and other necessary trainings.

About Urbanrise:

Founded by a visionary team of young and passionate experts from the real estate industry, Urbanrise, one of the best builders in Chennai and Hyderabad, is a promising real estate brand emerging across South India from India’s well-acclaimed Alliance Group who has delivered over 9,600+ homes. The organization has 72 million Sq.Ft. both under development and planning stages, with a real estate portfolio of Rs.51, 000 Crores. The Organization is backed & funded by the world’s Topmost Financial Institutions.

Website: www.urbanrise.in

• Build and execute social media strategy through competitive research, platform determination, benchmarking, messaging and audience identification
• Generate, edit, publish and share daily content (original text, images, video or HTML) that builds meaningful connections and encourages community members to take action
• Set up and optimize company pages within each platform to increase the visibility of company’s social content
• Moderate all user-generated content in line with the moderation policy for each community
• Create editorial calendars and syndication schedules
• Continuously improve by capturing and analyzing the appropriate social data/metrics, insights and best practices, and then acting on the information
• Collaborate with other departments (customer relations, sales etc) to manage reputation, identify key players and coordinate actions

Programming Languages: Perl, Python, java. Perl programming with strong OOPs knowledge.

• UI: HTML, JS
• System: Linux must have – good knowledge and shell scripting experience.
• Prior experience in infrastructure automation, monitoring will definitely help.

Description:

The person in this role:

- Will be involved in developing new monitoring scripts, enhancement & defect fixes on existing monitors

- Have to be on-call to support any incoming production/P1 internal issues which need urgent attention (team members are on call for a week and we have a weekly rotation policy within the team)

Preferred skills:

Perl
- Shell scripting

- Unix

- Jenkins