11+ Scribe Jobs in Bangalore (Bengaluru) | Scribe Job openings in Bangalore (Bengaluru)

·      Edit raw footage into cohesive, engaging, and visually polished course videos.

·      Add motion graphics, captions, transitions, animations, and branding elements.

·      Enhance audio quality and synchronize audio-visual elements effectively.

·      Develop interactive video components using tools like H5P, Adobe Captivate, or Camtasia.

·      Integrate clickable elements, quizzes, and branching scenarios within videos.

·      Package and export interactive content in SCORM/xAPI formats for LMS deployment.

·      Ensure video outputs are optimized for accessibility, device compatibility, and web delivery.

·      Collaborate closely with instructional designers, voice-over artists, animators, and developers.

·      Maintain structured organization of video assets, backups, and project versioning.

Job Description:

We are looking for a Lead Java Developer – Backend with a strong foundation in software engineering and hands-on experience in designing and building scalable, high-performance backend systems. You’ll be working within our Digital Engineering Studios on impactful and transformative projects in a fast-paced environment.

Key Responsibilities:

• Lead and mentor backend development teams.
• Design and develop scalable backend applications using Java and Spring Boot.
• Ensure high standards of code quality through best practices such as SOLID principles and clean code.
• Participate in pair programming, code reviews, and continuous integration processes.
• Drive Agile, Lean, and Continuous Delivery practices like TDD, BDD, and CI/CD.
• Collaborate with cross-functional teams and clients for successful delivery.

Required Skills & Experience:

• 9–12+ years of experience in backend development (Up to 17 years may be considered).
• Strong programming skills in Java and backend frameworks such as Spring Boot.
• Experience in designing and building large-scale, custom-built, scalable applications.
• Sound understanding of Object-Oriented Design (OOD) and SOLID principles.
• Hands-on experience with Agile methodologies, TDD/BDD, CI/CD pipelines.
• Familiarity with DevOps practices, Docker, Kubernetes, and Infrastructure as Code.
• Good understanding of cloud technologies – especially AWS, and exposure to GCP or Azure.
• Experience working in a product engineering environment is a plus.
• Startup experience or working in fast-paced, high-impact teams is highly desirable.

Job Title: Project Coordinator - Fresher

Job Summary:

We are seeking a motivated and organized Project Coordinator to support on-site civil engineers and assist the site manager with day-to-day project operations. This role is ideal for a fresher looking to gain hands-on experience in civil project execution, coordination, and technical documentation.

Key Responsibilities:

• Assist the project/site manager in planning and execution of project activities.
• Coordinate with different departments and vendors for timely delivery of materials/resources.
• Monitor site progress and update status reports to the management.
• Maintain and update project documentation including daily progress reports, records, and material logs.
• Support quality checks and ensure compliance with safety and operational standards.
• Handle day-to-day queries and follow up on tasks assigned.
• Attend team meetings and prepare meeting notes.
• Assist in scheduling and organizing project-related events or reviews.
• Support the Site Manager in planning and monitoring project schedules, milestones, and deliverables.
• Help in preparing drawings, quantity take-offs, and site layout plans using tools like AutoCAD & other.
• Assist in ensuring safety standards and compliance with company policies on-site.
• Coordinate material receipts and inventory with procurement and store teams.

Required Skills:

• Excellent communication and interpersonal skills.
• Familiarity with AutoCAD or other civil drafting tools (basic knowledge required).
• Proficiency in MS Office (Word, Excel, PowerPoint).
• Ability to multitask and work in a team environment.
• Strong organizational and time-management abilities.
• Basic understanding of project management concepts.

Senior Machine Learning Engineer

About the Role

We are looking for a Senior Machine Learning Engineer who can take business problems, design appropriate machine learning solutions, and make them work reliably in production environments.

This role is ideal for someone who not only understands machine learning models, but also knows when and how ML should be applied, what trade-offs to make, and how to take ownership from problem understanding to production deployment.

Beyond technical skills, we need someone who can lead a team of ML Engineers, design end-to-end ML solutions, and clearly communicate decisions and outcomes to both engineering teams and business stakeholders. If you enjoy solving real problems, making pragmatic decisions, and owning outcomes from idea to deployment, this role is for you.

What You’ll Be Doing

Building and Deploying ML Models

• Design, build, evaluate, deploy, and monitor machine learning models for real production use cases.
• Take ownership of how a problem is approached, including deciding whether ML is the right solution and what type of ML approach fits the problem.
• Ensure scalability, reliability, and efficiency of ML pipelines across cloud and on-prem environments.
• Work with data engineers to design and validate data pipelines that feed ML systems.
• Optimize solutions for accuracy, performance, cost, and maintainability, not just model metrics.

Leading and Architecting ML Solutions

• Lead a team of ML Engineers, providing technical direction, mentorship, and review of ML approaches.
• Architect ML solutions that integrate seamlessly with business applications and existing systems.
• Ensure models and solutions are explainable, auditable, and aligned with business goals.
• Drive best practices in MLOps, including CI/CD, model monitoring, retraining strategies, and operational readiness.
• Set clear standards for how ML problems are framed, solved, and delivered within the team.

Collaborating and Communicating

• Work closely with business stakeholders to understand problem statements, constraints, and success criteria.
• Translate business problems into clear ML objectives, inputs, and expected outputs.
• Collaborate with software engineers, data engineers, platform engineers, and product managers to integrate ML solutions into production systems.
• Present ML decisions, trade-offs, and outcomes to non-technical stakeholders in a simple and understandable way.

What We’re Looking For

Machine Learning Expertise

• Strong understanding of supervised and unsupervised learning, deep learning, NLP techniques, and large language models (LLMs).
• Experience choosing appropriate modeling approaches based on the problem, available data, and business constraints.
• Experience training, fine-tuning, and deploying ML and LLM models for real-world use cases.
• Proficiency in common ML frameworks such as TensorFlow, PyTorch, Scikit-learn, etc.

Production and Cloud Deployment

• Hands-on experience deploying and running ML systems in production environments on AWS, GCP, or Azure.
• Good understanding of MLOps practices, including CI/CD for ML models, monitoring, and retraining workflows.
• Experience with Docker, Kubernetes, or serverless architectures is a plus.
• Ability to think beyond deployment and consider operational reliability and long-term maintenance.

Data Handling

• Strong programming skills in Python.
• Proficiency in SQL and working with large-scale datasets.
• Ability to reason about data quality, data limitations, and how they impact ML outcomes.
• Familiarity with distributed computing frameworks like Spark or Dask is a plus.

Leadership and Communication

• Ability to lead and mentor ML Engineers and work effectively across teams.
• Strong communication skills to explain ML concepts, decisions, and limitations to business teams.
• Comfortable taking ownership and making decisions in ambiguous problem spaces.
• Passion for staying updated with advancements in ML and AI, with a practical mindset toward adoption.

Experience Needed

• 6+ years of experience in machine learning engineering or related roles.
• Proven experience designing, selecting, and deploying ML solutions used in production.
• Experience managing ML systems after deployment, including monitoring and iteration.
• Proven track record of working in cross-functional teams and leading ML initiatives.

• Graduate+ in Mathematics, Statistics, Computer Science, Economics, Business, Engineering or equivalent work experience.
• Total experience of 5+ years with at least 2 years in managing data quality for high scale data platforms.
• Good knowledge of SQL querying.
• Strong skill in analysing data and uncovering patterns using SQL or Python.
• Excellent understanding of data warehouse/big data concepts such data extraction, data transformation, data loading (ETL process).
• Strong background in automation and building automated testing frameworks for data ingestion and transformation jobs.
• Experience in big data technologies a big plus.
• Experience in machine learning, especially in data quality applications a big plus.
• Experience in building data quality automation frameworks a big plus.
• Strong experience working with an Agile development team with rapid iterations. 
• Very strong verbal and written communication, and presentation skills.
• Ability to quickly understand business rules.
• Ability to work well with others in a geographically distributed team.
• Keen observation skills to analyse data, highly detail oriented.
• Excellent judgment, critical-thinking, and decision-making skills; can balance attention to detail with swift execution.
• Able to identify stakeholders, build relationships, and influence others to get work done.
• Self-directed and self-motivated individual who takes complete ownership of the product and its outcome.

Marketing Associate - Pay3

About Pay3 

Pay3 offers a comprehensive global payments solution for the digital commerce industry, enabling seamless  purchases and payouts across 100+ countries through a single low code integration. Our network excels in emerging markets, including Southeast Asia, India, China, Africa, and Latin America. We support stablecoin and cryptocurrencies. 

Job Description:

We are looking for a highly motivated candidate to join our team and drive  marketing for Pay3.  The ideal candidate will need to develop a deep understanding of our products and services be the champion for our solutions in the market translating technical capabilities into compelling value propositions, as well as the ability to communicate them to prospective clients in a clear and concise way. The Marketing Associate will work closely with the sales team .

Key Responsibilities:

Market Intelligence & Analysis:

• Conduct thorough market research to identify enterprise customer needs, market trends, and competitive offerings.  
• Develop a deep understanding of buyer personas, including their pain points, motivations, and decision-making processes within enterprise organizations.  
• Analyze market opportunities and provide insights to inform product strategy and roadmap.

Value Proposition & Messaging:

• Develop clear, concise, and compelling value propositions that articulate the benefits of our solutions for enterprise customers.
• Create differentiated messaging frameworks that resonate with various enterprise stakeholders (e.g., IT leaders, business executives, procurement). 
• Translate technical product features into business-oriented benefits.

Content Creation:

• Develop high-quality marketing content tailored for the enterprise audience, including white papers, case studies, webinars, presentations, solution briefs, and website content.
• Collaborate with subject matter experts and sales teams to ensure content accuracy and relevance.

Qualifications:

• 0-3 years of experience in enterprise B2B marketing, with a proven track record of lead generation and campaign execution.
• Experience in the payment or gaming industry is a plus.
• Strong skills in content marketing, SEO, and inbound marketing strategies.
• Experience in planning and managing event marketing at conferences or trade shows.
• Excellent communication and project management skills.
• Bachelor’s or Master’s degree in Marketing (BBA/MBA preferred).

Benefits:

• Competitive salary and benefits package
• Opportunity to work with a talented team of professionals
• Chance to make a real impact on our business
• Challenging and rewarding work environment
• Growth opportunity to a sales or other roles in the organisation 

Job Title – Data Scientist (Forecasting)

Anicca Data is seeking a Data Scientist (Forecasting) who is motivated to apply his/her/their skill set to solve complex and challenging problems. The focus of the role will center around applying deep learning models to real-world applications.  The candidate should have experience in training, testing deep learning architectures.  This candidate is expected to work on existing codebases or write an optimized codebase at Anicca Data. The ideal addition to our team is self-motivated, highly organized, and a team player who thrives in a fast-paced environment with the ability to learn quickly and work independently.

Job Location: Remote (for time being) and Bangalore, India (post-COVID crisis)

• At least 3+ years of experience in a Data Scientist role
• Bachelor's/Master’s degree in Computer Science, Engineering, Statistics, Mathematics, or similar quantitative discipline. D. will add merit to the application process
• Experience with large data sets, big data, and analytics
• Exposure to statistical modeling, forecasting, and machine learning. Deep theoretical and practical knowledge of deep learning, machine learning, statistics, probability, time series forecasting
• Training Machine Learning (ML) algorithms in areas of forecasting and prediction
• Experience in developing and deploying machine learning solutions in a cloud environment (AWS, Azure, Google Cloud) for production systems
• Research and enhance existing in-house, open-source models, integrate innovative techniques, or create new algorithms to solve complex business problems
• Experience in translating business needs into problem statements, prototypes, and minimum viable products
• Experience managing complex projects including scoping, requirements gathering, resource estimations, sprint planning, and management of internal and external communication and resources
• Write C++ and Python code along with TensorFlow, PyTorch to build and enhance the platform that is used for training ML models

Preferred Experience

• Worked on forecasting projects – both classical and ML models
• Experience with training time series forecasting methods like Moving Average (MA) and Autoregressive Integrated Moving Average (ARIMA) with Neural Networks (NN) models as Feed-forward NN and Nonlinear Autoregressive
• Strong background in forecasting accuracy drivers
• Experience in Advanced Analytics techniques such as regression, classification, and clustering
• Ability to explain complex topics in simple terms, ability to explain use cases and tell stories

💥 What will you do?

As a Backend Engineer, you will

• Create and maintain server-side code
• Designing database schemas to support business requirements
• Building reusable code and libraries for future use
• Troubleshoot and debug applications
• Write unit tests
• Stay up to date with current best practices
• Collaborate with front end engineers
• Optimization of the application for maximum speed and scalability
• Work with stakeholders including the Executive, Product, Data, and Design teams to assist with web-application-related technical issues and support their requirements.

🙋 What are we looking for? 

While we do not have a strict list of requirements for candidates interested in this role, some indicators that you would fit this role and our engineering culture are 

• 2+ years of relevant work experience as a Backend engineer using Python frameworks like Django, Flask, etc
• Experience with relational databases like MySQL, PostgreSQL
• Good understanding of OOP concepts
• Understanding of code versioning tools, such as Git
• Basic understanding of front-end technologies and platforms, such as JavaScript, HTML5, and CSS3.
• Experience writing unit tests for the application is a plus
• Experience with building REST APIs
• Superior analytical, conceptual, and problem-solving skills.
• Strong verbal and written communication skills in English.