Sales Support Representative - US Process

Strong Video Producer (pre production) Specialist Profiles

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Mandatory (Experience 1) – Must have 1+ years of hands-on experience handling the pre production of video creation

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Mandatory (Experience 2) – Must have strong experience in pre production aspects like concept creation, script writing, storyboarding, shot planning etc

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Mandatory (Company) - Top advertising, design, marketing agencies

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Mandatory (Education) - Related education like Filmography, Mass media etc

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Mandatory (Exclusion) – Dont want video editors and post production focused resumes

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Mandatory (Age) - Candidate's age should be below 25 years

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Note: Tap Mumbai location for top candidates

Position: Video Editor

Experince: 2+ Years

Location: Ahmedabad / Remote

About the Role

We're looking for a creative Sports Video Editor to create engaging athlete highlight reels, sports promos, and social media content. If you enjoy storytelling through video and have a passion for sports, we'd love to hear from you.

What You'll Do

• Edit sports highlights, athlete profiles, and promotional videos.
• Create engaging content for YouTube, Instagram Reels, and Shorts.
• Add motion graphics, player names, statistics, and branding.
• Perform basic color correction and audio editing.
• Collaborate with the creative team to deliver high-quality videos on time.

What We're Looking For

• 1–3 years of experience in video editing.
• Strong hands-on experience with Adobe Premiere Pro.
• Working knowledge of Adobe After Effects for motion graphics.
• Good understanding of video storytelling, transitions, pacing, and sound.
• Experience creating content for social media platforms is a plus.
• Passion for sports is highly preferred.

Good to Have

• Experience editing sports or event videos.
• Knowledge of Adobe Photoshop or DaVinci Resolve.
• Familiarity with AI-powered video editing tools.

We are looking for an Engineering Lead to own the entire technology stack — from onboarding and underwriting to disbursals, repayments, and collections — and to build the engineering function into something genuinely AI-native. 

What You'll Own 

● Full tech stack: backend, frontend, infrastructure, integrations, and data pipelines 

● Real-time underwriting and decisioning systems 

● LOS/LMS architecture — onboarding, disbursals, repayments, and collections

● Integrations with bureaus, KYC providers, account aggregators, and payment gateways 

● Reconciliation systems — disbursement, repayment, and NACH reconciliation end-to-end 

● AWS infrastructure: scaling, reliability, uptime, and cloud cost ownership ● Data infrastructure for the credit and risk team — feature pipelines, model serving, experiment infrastructure 

● Engineering leadership: hiring, sprint planning, code reviews, and execution standards 

● Compliance systems: RBI guidelines, DPDP, KYC/AML, e-NACH, e-sign 

AI-Native Engineering 

This is a core part of the role, not a bonus. You will build a machine-readable knowledge base of the entire codebase — architecture, data models, service contracts, coding standards, decision history — so that AI agents working on code have the context to produce accurate, consistent output. You will build skills for code review, developer onboarding, and recurring engineering workflows. You will build a code review pipeline where agents do the first pass on every pull request. The knowledge base and the skills improve over time as the team grows and the product evolves. 

What We're Looking For 

● 7+ years in software engineering, with at least 2 years leading teams or architecture

● Strong hands-on experience with Python, Django, and React Native

● Deep expertise in AWS and cloud-native architecture 

● Experience with both SQL and NoSQL databases 

● Strong understanding of distributed systems, microservices, and API design

● Experience owning reconciliation or payment flow infrastructure in a lending or payments context

● Prior experience in fintech / NBFC / digital lending — mandatory

● Strong understanding of the full loan lifecycle — mandatory 

● You have used LLMs seriously as engineering tools and have strong opinions about what makes AI-assisted development produce good output versus mediocre output 

Bonus: Kubernetes / Kafka, AI/ML-driven underwriting, Account Aggregator framework, e-NACH / e-Sign / Video KYC integrations 

What Success Looks Like 

● scales with strong uptime, performance, and reliability

● Reconciliation runs cleanly — no financial discrepancies surface late ● A new engineer joins and is writing standard, correct code within their first week

● The credit team is never blocked on an engineering dependency 

● Engineering health metrics are tracked and visibly improving 

● AI agents are doing the structured first pass on code reviews, and the system gets smarter over time 

What are we looking for?

• Strong interpersonal, communication, and persuasion skills.
• Interest in sales and client management within a fast-paced setup.
• Strong problem-solving skills to address and resolve client concerns.
• Ability to multitask and handle multiple client accounts effectively.
• Minimum 1 Year of experience in telecalling, client success, or B2B servicing roles
• Based in Bangalore 

What will you be doing?

• Manage a portfolio of Travel Agents and ensure consistent engagement.
• Drive re-application cycles by tracking demand patterns, renewal triggers, and client usage behaviour.
• Build and execute retention strategies for high-value & high-frequency clients.
• Lead resurrection initiatives to revive inactive or low-engagement accounts.
• Maintain dashboards, performance trackers, and portfolio analytics.
• Collaborate with operations and business teams to ensure seamless service delivery.
• Resolve escalations and strengthen long-term client relationships.

Services: Data Scientist

Exp 8+yrs

Location: Pune (preference)

As a Data Scientist who can help us with our innovation lab initiative, you will be responsible for extracting insights from large datasets and turning them into actionable strategies to drive business decisions. You will collaborate with cross-functional teams to identify opportunities for leveraging data to solve business problems and improve processes.

Advanced Degree: PhD or equivalent in Computer Science, Data Science, Statistics, Mathematics, or a related field, demonstrating a strong foundation in theoretical and practical aspects of AI and machine learning.

Deep Technical Expertise: Proven track record of applying advanced statistical models, machine learning algorithms, and computational methodologies to solve complex problems in various domains.

Hands-on Experience with AI Technologies: Extensive experience in designing, implementing, and deploying AI solutions, including but not limited to natural language processing, computer vision, and predictive analytics projects.

Strong Programming Skills: Proficiency in programming languages such as Python, R, or Scala, and familiarity with AI and machine learning frameworks (e.g., TensorFlow, PyTorch).

Data Manipulation and Analysis: Expertise in handling and analyzing large datasets using SQL, NoSQL, and data processing frameworks (e.g., Spark).

Excellent Communication Skills: Ability to clearly articulate complex technical concepts, findings, and the business value of AI solutions to both technical and non-technical stakeholders.

Understanding of AI Ethics and Bias: Knowledge of ethical AI practices, including bias detection and mitigation strategies, to ensure the development of fair and responsible AI systems.

Problem-Solving Ability: Demonstrated ability to apply analytical and creative thinking to complex challenges, with a track record of innovative solutions in AI.

Collaboration and Leadership: Experience working in cross-functional teams, with the ability to lead projects and mentor junior team members in AI methodologies and best practices.

Industry-Specific AI Application Knowledge: Demonstrated experience in applying AI solutions to real-world problems in industries such as healthcare, finance, retail, or manufacturing, showing a deep understanding of sector-specific challenges and opportunities.

LLM Development and Customization: Hands-on experience in developing, fine-tuning, and deploying Large Language Models for applications such as conversational agents, content generation, and semantic analysis.

Advanced Natural Language Understanding (NLU) and Generation (NLG): Expertise in leveraging LLMs for complex NLU and NLG tasks, demonstrating a deep understanding of language model capabilities and limitations.

About Intraedge: https://intraedge.com/ 

Intraedge is a Technology, Products and Learning Organization, It was founded in 2002 with offices in the US, India, Europe, Canada, and Singapore. We provide our clients with the resources and expertise to enhance business performance through technology. 

We are seeking a dedicated and skilled Qualitative Research Professional with a minimum of 1-3 years of experience in market research. In this role, you will be responsible for assisting in the planning, execution, and analysis of qualitative research studies to provide valuable insights for our organization. If you are passionate about qualitative research and eager to contribute your expertise, we encourage you to apply. 

Note: should be Delhi or Noida Based, it will be on-site job 

Responsibilities: 

• Assist in the design and execution of qualitative research projects, including in-depth interviews, focus groups, and surveys, conducted globally. 
• Contribute to the development and refinement of research protocols, questionnaires, and discussion guides. 
• Participate in respondent recruitment efforts, ensuring diverse and representative samples. 
• Conduct interviews, assist in facilitating focus group discussions, and help with data collection. 
• Support the analysis and interpretation of qualitative data to extract meaningful insights. 
• Collaborate with senior researchers and cross-functional teams to integrate qualitative findings into decision-making processes. 
• Stay informed about industry trends and best practices in qualitative research. 
• Adhere to ethical research standards and data privacy compliance. 

Qualifications: 

• Bachelor's or Master's degree in a relevant field 
• Minimum of 1-3 years of experience in conducting qualitative research within a market research context. 
• Strong interpersonal and communication skills to assist in participant engagement. 
• Effective written and verbal communication skills. 
• Capacity to work effectively both independently and as part of a team. 
• Attention to detail and the ability to think analytically. 
• Understanding of research ethics and data protection regulations. 
• Basic knowledge of qualitative research methods, with a willingness to learn and grow in the field. 

Preferred Qualifications: 

• Previous experience working in a market research setting. 
• Experienced in execution of projects globally in all markets. 
• Covered all segments- B2C, B2B, Healthcare 
• Familiarity with quantitative research methods and survey design. 
• Proficiency in using survey and interview platforms. 
• Familiarity with data collection and transcription tools. 
• Contributions or involvement in previous qualitative research projects. 

This is a full-time on-site position that offers opportunities for professional development and career advancement. If you have a passion for qualitative research and wish to contribute to our organization's success, please apply with your resume detailing your relevant experience and qualifications. 

Responsibilities and Duties

 Handling Import Documentation.  Update Client for Shipment Status.  Daily DSR Report to Party & Head Office.  Trace the shipment status through websites and by personal contact to shipping lines.  Resolving customer queries with help of documentation team.  Handling Good Communicate with consignee, S/ Line, CFS, Transporter by mail.  Checking shipment arrival and IGM details in ICEGATE of customs.  Consignee Dispatch requirement as per schedule to various plant.  Collect the delivery orders from shipping line and freight forwarders and clearing fromPORT/CFS.  Handling DPD Client shipments with BMCT, NSICT, NSIGT, JNPT & GTI Terminals.  Co-Ordination with custom clearance dept for getting status and to avail required Documents.  Good Communicate to clear shipment with in free days without Detention & Demurrage.  Co-ordinating with Delivery Agent/ Transporter for Delivery of Shipment & Planning forDelivery.  Sending import Agency Bill with Shipping, CFS, Container Survey, Transporter Bill & etc.  Arranging for payment of Imports Bills

Job Responsibilities

Responsibilities for this position include, but are not limited to, the following.

Understand requirements and create low-level design using UML

Develop embedded software as per defined software requirements

Software integration & testing

Background & Skills

Education:

B.E/B. Tech/M.Tech/Master (Electronics/Telecommunications/Computers Science)OR equivalent

Experience & Attributes:

2-8 years’ experience in Embedded system software design, development, and testing.

Excellent communication skills, spoken and written English

Must have specialized knowledge :

·  Embedded C

·  Electronics

·  RTOS

·  Knowledge of Microcontrollers (RISC, CISC)

·  CAN Communication & Protocols like UDS, KWP2000, CANopen and J1939

·  MISRA standard - 2000/MISRA 2012

·  SDLC, Agile Scrum

·  Static analysis & Tools like LDRA or QAC or Vector cast

·  Change Management & Tools like JIRA/VSTS

·  Version control & Tools like SVN/GIT/Clearcase

·  Traceability management & Tools like Reqtify or equivalent

·  Design methodologies - like UML

·  Software Test Life Cycle

Specialized knowledge – Will be Preferred

·  Functional Safety life-cycle & Management - Applies to software design & development

·  Safety standards like - IEC-61508, ISO-26262, ISO-25119, ISO-13849

Key Tasks and Responsibilities

·  Software requirement specification writing

·  Creating design for assigned modules

·  Implementing the code for assigned requirements

·  Perform unit testing

·  Perform peer reviews or inspection of software work products

·  Support testing team on defect analysis

·  Adhere to Quality processes