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Job description

Position - Video Editor

Exp - 0-3 years (Freshers are most Welcome! )

Job Type - Full Time

Location - Ambattur, Chennai

Summary

The Video Editor primarily focuses on editing short-form video content such as Instagram reels, YouTube shorts, and TikTok clips. This role supports the senior video team with long-form video editing, ensuring engaging, well-polished videos aligned with content strategies.

Formats: YouTube Videos, Shorts and Reel formats, Social Media content.

Key Responsibilities

• Short-Form Video Editing
• Edit and assemble reels, shorts, and other short video formats tailored for social media platforms.
• Apply subtitles, sound effects, motion graphics, and filters to enhance engagement.
• Support for Long-Form Content
• Assist the senior video editor in cutting, sequencing, and refining long-form videos such as YouTube content.
• Prepare rough cuts and incorporate feedback for final versions.
• Asset Management
• Organize raw footage, sound files, and final exports in an efficient file system.
• Ensure all video files are correctly named, stored, and backed up.
• Collaboration
• Work closely with motion graphic designers to integrate animated elements smoothly into videos.
• Coordinate with content creators and social media teams to align edits with messaging and trends.
• Trend Awareness & Continuous Learning
• Stay updated on video editing software features and social media video trends.
• Explore creative editing techniques and new tools to improve video appeal.
• Quality & Deadline Management
• Deliver high-quality videos within set deadlines, maintaining brand standards.
• Troubleshoot and resolve technical issues during editing.

General Responsibilities

Escalation & Clarity

• Flag any unclear content, controversial ideas, or doubtful information, messages, queries to the Project Head before proceeding.
• When unsure about any matter, seek clarification instead of making assumptions.

Team Support & Flexibility

• Support the team in the absence of other members and assist with cross-functional tasks when needed.
• Perform any additional tasks assigned by the Team Leader, Project Head, or Management to ensure timely completion and overall project success.

Confidentiality & Information Sharing

• Share information only with relevant internal team members.
• Do not disclose confidential or unauthorized details under any circumstance.
• Follow communication and file-sharing protocols as directed.

Professionalism & Accountability

• Collaborate respectfully and professionally with all internal and external stakeholders.
• Take ownership of assigned tasks and ensure their timely and quality completion.
• Adhere to company policies, guidelines, and procedures at all times.

Note: Send your Resume attached with Portfolio

Let’s get started on building your path to success!

About the Role

LMTEQ is seeking a Marketing Manager / Content Writer to drive content-led

marketing, lead generation, and brand growth for IT services and enterprise platforms. This role

blends hands-on technical content creation with marketing planning, performance tracking, and

reporting ownership.

The ideal candidate will be responsible for building and executing marketing plans, generating

qualified leads through content and digital channels, and delivering monthly, quarterly, and

annual performance reports.

Key Responsibilities

Content Strategy Execution

● Define and execute a technical content strategy aligned with marketing and business

goals.

● Create high-quality content including:

○ Blogs

○ Case studies

○ Whitepapers

○ E-books

○ Landing pages

○ Website content and articles

● Ensure all content supports lead generation, brand positioning, and thought leadership.

● Edit, repurpose, and optimize content for multiple platforms and campaigns.

Lead Generation & Campaign Planning

● Own and execute content-driven lead generation plans for IT services and enterprise

offerings.

● Design and implement:

○ Monthly marketing plans

○ Quarterly campaign roadmaps

○ Annual marketing strategy

● Work closely with sales and leadership teams to align marketing initiatives with revenue

goals.

● Support inbound marketing activities across websites, LinkedIn, and other digital

channels.

● Continuously optimize campaigns to improve lead quality and conversion rates.

SEO & Performance Marketing

● Perform basic to intermediate SEO analysis, including:

○ Keyword research (primary, secondary, tertiary)

○ On-page SEO optimization

○ Search intent mapping

● Use SEO tools such as Semrush, Ubersuggest, Google Keyword Planner, and Google

Analytics.

● Optimize website content to improve traffic, rankings, and conversions.

● Support off-page SEO activities such as interlinking, content distribution, and business

listings.

Reporting & Analytics

● Track and analyze marketing and content performance metrics.

● Prepare and present:

○ Monthly marketing performance reports

○ Quarterly marketing and lead generation reports

○ Annual marketing performance and strategy reports

● Share insights on:

○ Content performance

○ SEO metrics

○ Lead generation outcomes

○ Campaign effectiveness

● Use data-driven insights to refine marketing strategies and content plans.

Marketing & Brand Management

● Create technical and industry-focused content for LinkedIn and other professional

platforms.

● Ensure consistent brand messaging across all marketing and content assets.

● Collaborate closely with:

○ Digital marketing specialists

○ Social media teams

○ Graphic designers

○ WordPress developers

● Manage timelines, priorities, and deliverables in an agile, fast-paced environment.

Research, Tools & Innovation

● Conduct in-depth research on IT services, enterprise platforms, and industry trends.

● Leverage AI-powered tools (ChatGPT, Jasper, Copy.ai, Grammarly, etc.) to improve

efficiency and quality while maintaining originality.

● Explore new tools, formats, and approaches to enhance marketing effectiveness.

Must-Have Skills & Qualifications

● 2–4 years of experience in Marketing, Technical Content Writing, or Content Marketing

● Strong proficiency in written English

● Proven ability to create clear, structured, and engaging technical content

● Basic to intermediate SEO knowledge (mandatory)

● Hands-on experience with:

○ Keyword research

○ On-page SEO optimization

● Experience supporting lead generation or inbound marketing initiatives

● Ability to create and manage monthly, quarterly, and annual marketing plans

● Strong analytical, reporting, and presentation skills

● Ability to work in a fast-paced, deadline-driven environment

Good-to-Have Skills

● Understanding of IT services and enterprise technologies, such as:

○ ServiceNow

○ SAP

○ Salesforce

● Prior experience in digital transformation or enterprise IT content

● Exposure to B2B marketing and demand generation

● Experience working closely with sales or leadership teams

● Familiarity with marketing KPIs and funnel metrics

● Experience using AI tools responsibly for marketing acceleration

Tools & Platforms (Preferred)

● SEO Tools: Semrush, Ubersuggest, Google Keyword Planner, Google Analytics

● AI Tools: ChatGPT, Perplexity Jasper, Grammarly, or equivalent

● CMS: WordPress

● Social Platforms: LinkedIn

● Design: Canva or equivalent

Proficient in Golang, Python, Java, C++, or Ruby (at least one)

Strong grasp of system design, data structures, and algorithms

Experience with RESTful APIs, relational and NoSQL databases

Proven ability to mentor developers and drive quality delivery

Track record of building high-performance, scalable systems

Excellent communication and problem-solving skills

Experience in consulting or contractor roles is a plus

1. 1. Experience with React JS, React Native, JavaScript including DOM Manipulation and the JavaScript object model.
   2. Thorough understanding of React Native and its core Principles.
   3. Hands on experience on React Native Framework at least 1 year.
   4. Understanding of native build tools like Xcode, Gradle etc.
   5. Capability to write Well-documented code with Javascript that is easily readable.
   6. Good Knowledge of HTML5, CSS.
   7. Familiarity with code versioning tools (Such as Git or SVN)
   8. Knowledge about Offline Storage, REST APIs, and document request model
   9. Familiarity with modern front-end build pipelines and tools.
   10. Experience with common front-end development tools such as Babel, Web pack, NPM and YARN etc.
   11. Experience with Native Mobile app deployment on App store and google play store.

Architect

Experience - 12+ yrs

About Wekan Enterprise Solutions

Wekan Enterprise Solutions is a leading Technology Consulting company and a strategic investment partner of MongoDB. We help companies drive innovation in the cloud by adopting modern technology solutions that help them achieve their performance and availability

requirements. With strong capabilities around Mobile, IOT and Cloud environments, we have an extensive track record helping Fortune 500 companies modernize their most critical legacy and on-premise applications, migrating them to the cloud and leveraging the most cutting-edge technologies.

Job Description

We are looking for passionate architects eager to be a part of our growth journey. The right candidate needs to be interested in working in high-paced and challenging environments leading technical teams, designing system architecture and reviewing peer code. Interested in

constantly upskilling, learning new technologies and expanding their domain knowledge to new industries. This candidate needs to be a team player and should be looking to help build a culture of excellence.

Do you have what it takes?

You will be working on complex data migrations, modernizing legacy applications and building new applications on the cloud for large enterprise and/or growth stage startups.

You will have the opportunity to contribute directly into mission critical projects directly interacting with business stakeholders, customer’s technical teams and MongoDB solutions Architects.

Location - Chennai or Bangalore

● Relevant experience of 12+ years building high-performance applications with at least

3+ years as an architect.

● Good problem solving skills

● Strong mentoring capabilities

● Good understanding of software development life cycle

● Strong experience in system design and architecture

● Strong focus on quality of work delivered

● Excellent verbal and written communication skills

Required Technical Skills

● Extensive hands-on experience building high-performance applications using Node.Js

(Javascript/Typescript) and .NET/ Golang / Java / Python.

● Strong experience with appropriate framework(s).

● Well versed in monolithic and microservices architecture.

● Hands-on experience with data modeling on MongoDB and any other Relational or NoSQL databases

● Experience working with 3rd party integrations ranging from authentication, cloud

services, etc.

● Hands-on experience with Kafka or RabbitMQ.

● Hands on experience with CI/CD pipelines and atleast 1 cloud provider - AWS / GCP / Azure

● Strong experience writing and maintaining clear documentation

Good to have skills:

● Experience working with frontend technologies - React.Js or Vue.Js or Angular.

● Extensive experience consulting with customers directly for defining architecture or system design.

● Technical certifications in AWS / Azure / GCP / MongoDB or other relevant technologies

Responsibilities

Work with development teams and product managers to ideate software solutions

Design client-side and server-side architecture

Build the front-end of applications through appealing visual design

Develop and manage well-functioning databases and applications

Write effective APIs

Test software to ensure responsiveness and efficiency

Troubleshoot, debug and upgrade software

Create security and data protection settings

Build features and applications with a mobile responsive design

Write technical documentation

Work with data scientists and analysts to improve software

Requirements And Skills

Proven experience as a Full Stack Developer or similar role

Experience developing desktop and mobile applications

Familiarity with common stacks

Knowledge of multiple front-end languages and libraries (e.g. HTML/ CSS, JavaScript, XML, jQuery)

Knowledge of multiple back-end languages (e.g. C#, Java, Python) and JavaScript frameworks (e.g. Angular, React, Node.js)

Familiarity with databases (e.g. MySQL, MongoDB), web servers (e.g. Apache), and UI/UX design

Excellent communication and teamwork skills

Great attention to detail

Organizational skills

An analytical mind

Skills:- MongoDB, Express, HTML/CSS, Javascript, XML, jQuery, Java, MySQL

EXPERIENCE: 5 – 12 years

LEVEL: Senior & Lead Software Engineers

JOB LOCATION: EPAM India Locations

Must Have Skills :

1.      NET Full stack Developer (.NET, C#, JavaScript, Angular 4 & above, PostgreSQL)

2.      Experience in Unit testing

3.      Hands on experience with building RESTful Web APIs, micro services

4.      Experience in Asynchronous programming

5.      Good understanding of Authentication and Authorization models in Web APIs

6.      Good at Data structure and Algorithms.

7.      Experience with Entity framework.

8.      Added advantage: Experience in Azure

THE IDEAL CANDIDATE WILL

• Engage with executive level stakeholders from client's team to translate business problems to high level solution approach
• Partner closely with practice, and technical teams to craft well-structured comprehensive proposals/ RFP responses clearly highlighting Tredence’s competitive strengths relevant to Client's selection criteria
• Actively explore the client’s business and formulate solution ideas that can improve process efficiency and cut cost, or achieve growth/revenue/profitability targets faster
• Work hands-on across various MLOps problems and provide thought leadership
• Grow and manage large teams with diverse skillsets
• Collaborate, coach, and learn with a growing team of experienced Machine Learning Engineers and Data Scientists

ELIGIBILITY CRITERIA

• BE/BTech/MTech (Specialization/courses in ML/DS)
• At-least 7+ years of Consulting services delivery experience
• Very strong problem-solving skills & work ethics
• Possesses strong analytical/logical thinking, storyboarding and executive communication skills
• 5+ years of experience in Python/R, SQL
• 5+ years of experience in NLP algorithms, Regression & Classification Modelling, Time Series Forecasting
• Hands on work experience in DevOps
• Should have good knowledge in different deployment type like PaaS, SaaS, IaaS
• Exposure on cloud technologies like Azure, AWS or GCP
• Knowledge in python and packages for data analysis (scikit-learn, scipy, numpy, pandas, matplotlib).
• Knowledge of Deep Learning frameworks: Keras, Tensorflow, PyTorch, etc
• Experience with one or more Container-ecosystem (Docker, Kubernetes)
• Experience in building orchestration pipeline to convert plain python models into a deployable API/RESTful endpoint.
• Good understanding of OOP & Data Structures concepts

Nice to Have:

• Exposure to deployment strategies like: Blue/Green, Canary, AB Testing, Multi-arm Bandit
• Experience in Helm is a plus
• Strong understanding of data infrastructure, data warehouse, or data engineering

You can expect to –

• Work with world’ biggest retailers and help them solve some of their most critical problems. Tredence is a preferred analytics vendor for some of the largest Retailers across the globe
• Create multi-million Dollar business opportunities by leveraging impact mindset, cutting edge solutions and industry best practices.
• Work in a diverse environment that keeps evolving
• Hone your entrepreneurial skills as you contribute to growth of the organization

We are looking for an outstanding ML Architect (Deployments) with expertise in deploying Machine Learning solutions/models into production and scaling them to serve millions of customers. A candidate with an adaptable and productive working style which fits in a fast-moving environment.

Skills:

- 5+ years deploying Machine Learning pipelines in large enterprise production systems.

- Experience developing end to end ML solutions from business hypothesis to deployment / understanding the entirety of the ML development life cycle.
- Expert in modern software development practices; solid experience using source control management (CI/CD).
- Proficient in designing relevant architecture / microservices to fulfil application integration, model monitoring, training / re-training, model management, model deployment, model experimentation/development, alert mechanisms.
- Experience with public cloud platforms (Azure, AWS, GCP).
- Serverless services like lambda, azure functions, and/or cloud functions.
- Orchestration services like data factory, data pipeline, and/or data flow.
- Data science workbench/managed services like azure machine learning, sagemaker, and/or AI platform.
- Data warehouse services like snowflake, redshift, bigquery, azure sql dw, AWS Redshift.
- Distributed computing services like Pyspark, EMR, Databricks.
- Data storage services like cloud storage, S3, blob, S3 Glacier.
- Data visualization tools like Power BI, Tableau, Quicksight, and/or Qlik.
- Proven experience serving up predictive algorithms and analytics through batch and real-time APIs.
- Solid working experience with software engineers, data scientists, product owners, business analysts, project managers, and business stakeholders to design the holistic solution.
- Strong technical acumen around automated testing.
- Extensive background in statistical analysis and modeling (distributions, hypothesis testing, probability theory, etc.)
- Strong hands-on experience with statistical packages and ML libraries (e.g., Python scikit learn, Spark MLlib, etc.)
- Experience in effective data exploration and visualization (e.g., Excel, Power BI, Tableau, Qlik, etc.)
- Experience in developing and debugging in one or more of the languages Java, Python.
- Ability to work in cross functional teams.
- Apply Machine Learning techniques in production including, but not limited to, neuralnets, regression, decision trees, random forests, ensembles, SVM, Bayesian models, K-Means, etc.

Roles and Responsibilities:

Deploying ML models into production, and scaling them to serve millions of customers.

Technical solutioning skills with deep understanding of technical API integrations, AI / Data Science, BigData and public cloud architectures / deployments in a SaaS environment.

Strong stakeholder relationship management skills - able to influence and manage the expectations of senior executives.
Strong networking skills with the ability to build and maintain strong relationships with both business, operations and technology teams internally and externally.

Provide software design and programming support to projects.

 Qualifications & Experience:

Engineering and post graduate candidates, preferably in Computer Science, from premier institutions with proven work experience as a Machine Learning Architect (Deployments) or a similar role for 5-7 years.