11+ FFmpeg Jobs in Coimbatore | FFmpeg Job openings in Coimbatore

Job Description:

MulticoreWare Inc develops heterogeneous software for Media and Automotive markets. It develops and licenses world-class video codec libraries, such as the widely used x265 (open-source HEVC encoding library) and supports tier-1 global streaming video services and video encoding solution providers.

As a Senior SW Engineer/Technical Lead, you will join MulticoreWare’s growing team of world-class engineers, and architects in its offices at Chennai, India, to implement, and deliver solutions in video pipelines and products. You will work in a result-oriented team with a culture of transparency and minimal bureaucracy. MulticoreWare provides a collaborative work environment with opportunities to learn, grow and progress in your career path.

Key Responsibilities:

• Implement, test, and deliver production-quality software, architected for problems in video pipelines of internal and customer IPs
• Lead the execution and implementation of product features with a small team of engineers and mentor the junior engineers within the team
• Conduct meticulous code-reviews to ensure bug-free and high-quality deliverables.
• Contribute towards product release cycles by developing tests deployed in continuous integration frameworks, fixing bugs identified during release, etc.
• Interface with customers, support customer evaluations of products and debugging of customer issues

Qualifications:

• Bachelor’s degree in Computer Science, Computer Engineering, or Electrical Engineering with 5 + years’ experience, or a Master’s degree in similar areas with 3+ years’ experience
• Excellent C/C++ development and debugging experience in creating production-grade software on Windows and Unix-based platforms
• Hands-on experience in video coding with an in-depth knowledge of HEVC, AVC, VP9, AV1 and VVC 
• Strong interest in video/imaging technologies, including video/image compression, analytics, and streaming/delivery
• Demonstrated analytical, problem solving and troubleshooting skills, with a meticulous attention to detail
• Working knowledge of code management systems such as Git and Bitbucket
• Good verbal and written communication skills

Preferred Qualifications:

• Experience with continuous integration frameworks like Jenkins
• Experience with heterogeneous programming libraries such as OpenCL, CUDA
• Experience with platform-specific software optimizations like SIMD to enable higher performance software
• Understanding of Agile / Scrum methodologies
• Experience in interacting with geographically distributed teams for reviews and meetings

WORK LOCATION: COIMBATORE

Job Summary

A Staff Nurse in a physiotherapy clinic supports physiotherapists in delivering patient care, assists in rehabilitation procedures, and ensures patients receive safe, effective, and comfortable treatment throughout their recovery process.

Required Qualifications

• Diploma or Bachelor’s Degree in Nursing (GNM / B.Sc Nursing)
• Valid nursing registration with the Nursing Council
• Basic Life Support (BLS) certification (preferred)

Skills and Competencies

• Knowledge of basic physiotherapy procedures and rehabilitation support
• Good communication and interpersonal skills
• Ability to assist patients with mobility and physical exercises
• Teamwork and coordination with physiotherapists
• Compassion, patience, and a caring attitude
• Attention to detail and organizational skills

Key Responsibilities

• Assist physiotherapists during patient assessment and treatment sessions
• Prepare patients for physiotherapy procedures and guide them through basic exercises
• Monitor patients’ vital signs and overall condition during therapy
• Help in positioning, mobilizing, and transferring patients safely
• Maintain treatment areas, therapy equipment, and hygiene standards
• Administer basic nursing care when required
• Educate patients and caregivers on home care routines and exercise plans
• Maintain accurate patient records and treatment documentation
• Ensure infection control and safety protocols are followed
• Provide emotional support and reassurance to patients

We are seeking a dedicated and skilled Full Stack Web Development Trainer to deliver high-quality, hands-on training to students and professionals. The ideal candidate will be passionate about teaching and capable of training learners in both frontend and backend technologies while also contributing to live development projects.

Role: Senior AI Engineer

Work Location: TechGenzi Coimbatore Office (ODC for Tiramai.ai)

Employment Type: Full-time

Experience: 2–5 years (Full-stack development with AI exposure)

About the Role & Work Location.

The selected candidate will be employed by Tiramai.ai and will work exclusively on Tiramai.ai projects. The role will be based out of TechGenzi’s Coimbatore office, which functions as an Offshore Development Center (ODC) supporting Tiramai.ai’s product and engineering initiatives.

Primary Focus

As an AI Engineer at our enterprise SaaS and AI-native organization, you will play a pivotal role in building secure, scalable, and intelligent digital solutions. This role combines full-stack development expertise with applied AI skills to create next-generation platforms that empower enterprises to modernize and act smarter with AI. You will work on AI-driven features, APIs, and cloud-native applications that are production-ready, compliance-conscious, and aligned with our mission of delivering responsible AI innovation.

Key Responsibilities

• Design, develop, and maintain full-stack applications using Python (backend) and React/Angular (frontend).
• Build and integrate AI-driven modules, leveraging GenAI, ML models, and AI-native tools into enterprise-grade SaaS products.
• Develop scalable REST APIs and microservices with security, compliance, and performance in mind.
• Collaborate with architects, product managers, and cross-functional teams to translate requirements into production-ready features.
• Ensure adherence to secure coding standards, data privacy regulations, and human-in-the-loop AI principles.
• Participate in code reviews, system design discussions, and continuous integration/continuous deployment (CI/CD) practices.
• Contribute to reusable libraries, frameworks, and best practices to accelerate AI platform development.

Skills Required

• Strong proficiency in Python for backend development.
• Frontend expertise in React.js or Angular with 2+ years of experience.
• Hands-on experience in full SDLC development (design, build, test, deploy, maintain).
• Familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch) or GenAI tools (LangChain, vector DBs, OpenAI APIs).
• Knowledge of cloud-native development (AWS/Azure/GCP), Docker, Kubernetes, and CI/CD pipelines.
• Strong understanding of REST APIs, microservices, and enterprise-grade security standards.
• Ability to work collaboratively in fast-paced, cross-functional teams with strong problem-solving and analytical skills.
• Exposure to responsible AI principles (explainability, bias mitigation, compliance) is a plus.

Growth Path

• AI Engineer (24 years) focus on full-stack + AI integration, delivering production-ready features.
• Senior AI Engineer (4–6 years) lead modules, mentor juniors, and drive AI feature development at scale.
• Lead AI Engineer (6–8 years) own solution architecture for AI features, ensure security/compliance, collaborate closely with product/tech leaders.
• AI Architect / Engineering Manager (8+ years) shape AI platform strategy, guide large-scale deployments, and influence product/technology roadmap.

Job Summary:

Seeking an experienced Senior Data Engineer to lead data ingestion, transformation, and optimization initiatives using the modern Apache and Azure data stack. The role involves working on scalable pipelines, large-scale distributed systems, and data lake management.

Core Responsibilities:

· Build and manage high-volume data pipelines using Spark/Databricks.

· Implement ELT frameworks using Azure Data Factory/Synapse Pipelines.

· Optimize large-scale datasets in Delta/Iceberg formats.

· Implement robust data quality, monitoring, and governance layers.

· Collaborate with Data Scientists, Analysts, and Business stakeholders.

Technical Stack:

· Big Data: Apache Spark, Kafka, Hive, Airflow, Hudi/Iceberg

· Cloud: Azure (Synapse, ADF, ADLS Gen2), Databricks, AWS (Glue/S3)

· Languages: Python, Scala, SQL

· Storage Formats: Delta Lake, Iceberg, Parquet, ORC

· CI/CD: Azure DevOps, Terraform (infra as code), Git

Senior Data Engineer (Apache Stack + Databricks/Synapse)

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Job description

We are seeking a skilled Level 1/Level 2 SAS Administrator with at least 3 years of experience to provide technical support to our US-based clients. This is an onsite role requiring availability during night shifts (US time zones). The successful candidate will be responsible for managing and maintaining SAS environments, troubleshooting technical issues, performing installations and upgrades, and ensuring optimal system performance. This role demands strong analytical and problem-solving skills to resolve complex challenges while providing proactive and reliable support.

Key Responsibilities:

• SAS Environment Management: Administer SAS servers and tools, including configuration, performance tuning, and routine maintenance of SAS applications.
• SAS Grid Management: Manage SAS Grid environments, ensuring efficient workload balancing and high availability.
• Metadata Management: Manage SAS metadata, including user account creation, role assignment, permissions, and library configuration.
• Issue Troubleshooting: Diagnose and resolve SAS server and application issues such as performance bottlenecks, user access problems, and system errors.
• System Administration: Perform SAS installations, upgrades, hotfixes, and patch management across development, testing, and production environments.
• SAS Migration & Upgrade: Plan and execute SAS environment migrations and upgrades with minimal downtime.
• Batch Job Management: Schedule and monitor batch jobs using tools such as SAS Flow Manager or LSF to ensure timely data processing and adherence to SLAs.
• Backup and Recovery: Conduct regular metadata and system backups, validate backup integrity, and manage restoration processes during disaster recovery scenarios.
• Incident Management: Manage tickets (e.g., P1, P2) for SAS-related issues using ITSM tools like ServiceNow or JIRA, ensuring timely resolution and communication updates.
• Security Management: Implement and review security policies, renew SAS licenses and SSL certificates, and conduct periodic access audits.
• Monitoring and Maintenance: Monitor SAS server health, analyze usage metrics and logs, and proactively address potential issues.
• Documentation: Develop and maintain comprehensive documentation for SAS environment configurations, troubleshooting procedures, and operational processes.

Required Qualifications:

• Minimum of 3 years of hands-on experience in SAS Administration, managing enterprise-level SAS environments.
• Expertise in SAS tools such as SAS Management Console, SAS Enterprise Guide, and SAS Studio.
• Strong understanding of operating systems (Linux/UNIX, Windows) and database systems (e.g., Teradata, Oracle, SQL).
• Experience with batch job scheduling and monitoring tools (e.g., Flow Manager, BMC Control-M).
• Proven experience troubleshooting SAS environment issues, including metadata management and performance tuning.
• Experience in SAS Grid, SAS Metadata, SAS Migration, and SAS Upgrades.
• Excellent verbal and written communication skills, with the ability to effectively interact with US-based clients.
• Willingness to work onsite during night shifts in alignment with US time zones.

If you are a dedicated SAS Administrator looking to work in a challenging and rewarding environment, we encourage you to apply.

We are looking for a highly capable machine learning engineer to optimize our machine learning systems. You will be evaluating existing machine learning (ML) processes, performing statistical analysis to resolve data set problems, and enhancing the accuracy of our AI software's predictive automation capabilities.

To ensure success as a machine learning engineer, you should demonstrate solid data science knowledge and experience in a related ML role. A first-class machine learning engineer will be someone whose expertise translates into the enhanced performance of predictive automation software.

Machine Learning Engineer Responsibilities:

Consulting with managers to determine and refine machine learning objectives.

Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models.

Transforming data science prototypes and applying appropriate ML algorithms and tools.

Ensuring that algorithms generate accurate user recommendations.

Turning unstructured data into useful information by auto-tagging images and text-to-speech conversions.

Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.

Developing ML algorithms to analyze huge volumes of historical data to make predictions.

Running tests, performing statistical analysis, and interpreting test results.

Documenting machine learning processes.

Keeping abreast of developments in machine learning.

Machine Learning Engineer Requirements:

Bachelor's degree in computer science, data science, mathematics, or a related field.

Master’s degree in computational linguistics, data analytics, or similar will be advantageous.

At least two years' experience as a machine learning engineer.

Advanced proficiency with Python, Java, and R code writing.

Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture.

In-depth knowledge of mathematics, statistics, and algorithms.

Superb analytical and problem-solving abilities.

Great communication and collaboration skills.

Excellent time management and organizational abilities.

Front-end Developer with a passion for sustainability

• Git
• Angular
• Bootstrap, Material-UI, TailwindCSS or any other widely-adapted CSS library/framework
• Sass or other css preprocessors
• NgRx or other state management libraries
• StorybookJS
• Jest or other Javascript unit testing libraries

• Solid understanding and experience
• Cross-browser compatibility
• Front End optimisation
• Frontend architecture
• REST APIs and integrations
• Object Oriented Programming concepts
• Design Patterns
• TDD (Test Driven Development)
• Agile

• Any cloud provider services (AWS/Azure/Google Cloud etc.,)
• Docker or any other virtualization technology
• NodeJS (ExpressJS, LoopbackJS, HapiJS etc.,)
• Interface design tools like XD, Figma
• Developing REST APIs

• UNIX / LINUX - 2 to 5 years’ experience
• DB design - 2 to 5 years’ experience.
• Team Lead - 2 to 5 years’ experience managing a team size of 8 - 12 persons.
• Overall experience in managing platforms across web & mobile developments, ability to conduct scrum meets, allocate & monitor work.
• The candidate should have an overall experience of 7 to 10 years, with a combination of the above.
• Strong team management skills, ability to drive the team & meet the deliveries.

Role Description:

• Lister is actively engaged with client across digital transformation and engineering
• As a part of this engagement, you will be working with our clients on solution design and architecture, technology decisions, while co-ordinating technical efforts for the team
• As a Technical Lead:, You will need to collaborate with Solution Architects define technology
• roadmap, evaluate/recommend technologies, architect and design solutions, Work
• with other developers to oversee the development and implementation
• You will translate functional requirements from business stakeholders to the technical
• team for implementation
• You will need to troubleshoot design flaws and system bottlenecks
• You will have to be hands-on with code reviews and evaluate implementation for performance and scale
• Manage communication between our clients and internal teams in India and USA
• Coordinate with the offshore team to deliver projects across work streams, Identify risks, issues and blockers to progress and mitigate them for the team
• Rapidly gain an understanding of project requirements and drive execution
• Work with delivery team to ensure the highest quality of materials are being produced and all client needs are met.

Skills Required:

• Excellent understanding of backend and frontend components in the following stack: NodeJS, TypeScript, Javascript, ReactJS, multiple RDBMS and NoSQL databases like Postgres, MySQL, MongoDB Experience of working on AWS services (Lambda, Step functions, SQS, S3 SNS)
• Microservice design pattern is a must
• Experience in Docker, Kubernetes, containerization and CI/CD pipelines is preferable
• Experience in software development tools like Prettier, CodeCov, Snyk, etc..
• Excellent verbal and written communication skills; client facing and interpersonal skills; must be a listener, a presenter, and a people-person
• Experience in Designing scalable architecture systems for Node-based applications
• Ability to grasp complex implementations; Proven results of delivering client solutions
• Should have experience of working with offshore team
• Experience in working on large scale technology transformation projects for product companies is preferable
• Technology contributions to open source projects will be an added advantage
• Should have completed Certifications or training on AWS (AWS Solutions Architect), NodeJS, front-end frameworks.