11+ Adobe Jobs in Chennai | Adobe Job openings in Chennai

Company Name : LMES Academy Private Limited

Website : https://lmes.in/

Linkedin : https://www.linkedin.com/company/lmes-academy/mycompany/

Role : Animator

Experience: 1 Year to 4 Years

Location: Pallavaram, Chennai, Tamil Nadu.

Job Overview:

We're looking for a Animator who is good at creating great user interfaces to join our friendly team in Chennai. If you have more than a year of experience and are good at talking with people and taking the lead, we'd like to talk to you. As an animator's job involves using artistic and technical skills to create moving images that tell stories, convey emotions, or communicate ideas. Whether working in film, television, video games, advertising, or other industries, animators bring characters, environments, and objects to life through various animation techniques.

*Requirements* :

✅Conceptualizing ideas

✅Creating character sketches

✅Develop storyboards for animation projects

✅Design elements of the animated environment

✅Creating animations on voice over briefs

✅Recording dialogue for the animation, where necessary

✅Collaborate with other creative teams

Job Title : Senior SAP PPDS Consultant

Experience : 6+ Years

Location : Open to USI locations (Hyderabad / Bangalore / Mumbai / Pune / Chennai / Gurgaon)

Job Type : Full-Time

Start Date : Immediate Joiners Preferred

Job Description :

We are urgently seeking a Senior SAP PPDS (Production Planning and Detailed Scheduling) Consultant with strong implementation experience.

The ideal candidate will be responsible for leading and supporting end-to-end project delivery for SAP PPDS, contributing to solution design, configuration, testing, and deployment in both Greenfield and Brownfield environments.

Mandatory Skills : SAP PPDS, CIF Integration, Heuristics, Pegging Strategies, Production Scheduling, S/4 HANA or ECC, Greenfield/Brownfield Implementation.

Key Responsibilities :

• Lead the implementation of SAP PPDS modules including system configuration and integration with SAP ECC/S4 HANA.
• Collaborate with stakeholders to gather requirements and define functional specifications.
• Design, configure, and test SAP PPDS solutions to meet business needs.
• Provide support for system upgrades, patches, and enhancements.
• Participate in workshops, training sessions, and knowledge transfers.
• Troubleshoot and resolve issues during implementation and post-go-live.
• Ensure documentation of functional specifications, configuration, and user manuals.

Required Skills :

• Minimum 6+ Years of SAP PPDS experience.
• At least 1-2 Greenfield or Brownfield implementation projects.
• Strong understanding of supply chain planning and production scheduling.
• Hands-on experience in CIF integration, heuristics, optimization, and pegging strategies.
• Excellent communication and client interaction skills.

Preferred Qualifications :

• Experience in S/4 HANA environment.
• SAP PPDS Certification is a plus.
• Experience working in large-scale global projects.

About Moative

Moative, an Applied AI Services company, designs AI roadmaps, builds co-pilots and predictive AI solutions for companies in energy, utilities, packaging, commerce, and other primary industries. Through Moative Labs, we aspire to build micro-products and launch AI startups in vertical markets. 

We have built and sold two companies, one of which was an AI company. Our founders and leaders are Math PhDs, Ivy League University Alumni, Ex-Googlers, and successful entrepreneurs.

Work you’ll do

As a data scientist, you will lead data-driven projects, design and develop advanced analytical frameworks and AI/ML solutions to address business problems. You will collaborate with product managers, engineers and domain experts to deliver intelligent solutions and products.

You’ll analyze new opportunities and ideas, evaluate new AI/ ML models/ frameworks/ platforms, conduct experiments, develop PoCs and prototypes.

As a Data Scientist, you will provide your advanced expertise on statistical and mathematical concepts and guide the team in AI/ML algorithms and model development. You will stay up-to-date with the latest advancements in data science, machine learning, and AI.

The ideal candidate will have a strong background in statistics, machine learning, and programming, as well as excellent business understanding and product design thinking skills. If you are passionate about data and have a proven track record of delivering impactful data solutions, we would love to hear from you.

Responsibilities

• Frame problems before you model them. You will define the problem structure, identify the right success metric, and map failure modes — data drift, integration cost, adoption friction — before a single model is trained. Post-mortems are not your primary output; pre-mortems are.
• Own delivery end-to-end, including deployment. You will take models from scoping through production. If your best work is a notebook that never shipped, this role is not for you. You will own the last mile: deployment, monitoring, iteration in production.
• Sit embedded in client teams and hold the room. You will join client standups, present modelling choices to client leadership, and defend or revise your approach on the spot. You will be the technical voice accountable for outcomes — not a back-office supplier of models.
• Build accelerators and reusable frameworks, not one-offs. You will identify repeatable patterns across engagements and convert them into tools, templates, and internal infrastructure that make the next delivery faster and more defensible.
• Write and communicate with precision across audiences. You will produce decision memos, model cards, and post-mortems that are specific enough for an engineer and clear enough for a CFO. You will cover trade-offs, assumptions, and risks — in the same meeting, for both rooms, without dumbing either one down.
• Drive ML lifecycle discipline. You will establish and enforce best practices across model development, versioning, evaluation, and monitoring — and raise the bar for how the team thinks about model quality and production readiness.

Who you are

You are a data scientist who is passionate about using AI/ML to improve processes, products and delight customers. You have experience working with less than clean data, developing ML models, and orchestrating the deployment of them to production. You thrive on taking initiatives, are very comfortable with ambiguity and can passionately defend your decisions.

Requirements and skills

• 2+ years of hands-on data science with shipped production models. Evidence of models that moved from development to deployment with measurable business impact. "Worked on" does not qualify — you must have owned the outcome.
• Consumer-scale domain depth in a regulated or operationally sensitive business. Direct experience with one or more of: credit risk and portfolio modelling (PD/LGD/EAD, scorecards, alternative-data underwriting, collections or behavioural scoring) or retail and commerce modelling (demand forecasting with seasonality and promo effects, assortment and markdown optimisation, customer segmentation and LTV, returns prediction, pricing elasticity). You can read a delinquency curve, or a sell-through curve, or a cohort retention plot and know what it implies for the next model decision and the next business decision
• Production GenAI and agentic system experience beyond prompt engineering. Hands-on with retrieval design, eval harnesses, guardrails, and fine-tuning vs. prompting trade-offs. You understand the observability and cost discipline required to run these systems in production. Prompt engineering alone does not qualify.
• Cloud and MLOps fluency. Proficient across at least one major cloud (AWS, Azure, or GCP) and experienced with MLOps tooling — MLflow, model registries, CI/CD for ML, and drift monitoring in production.
• Client-facing delivery experience. Has worked directly with external clients or business stakeholders — not just internal teams. Comfortable presenting technical choices, fielding pushback, and adjusting in real time without losing the thread.
• Structural problem framing, not just modelling skill. Demonstrates the ability to define what problem is actually worth solving, choose the right analytical approach for the business context, and articulate why alternative approaches were rejected.

Working at Moative

Moative is a young company, but we believe strongly in thinking long-term, while acting with urgency. Our ethos is rooted in innovation, efficiency and high-quality outcomes. We believe the future of work is AI-augmented and boundary less.

Here are some of our guiding principles:

• Think in decades. Act in hours. As an independent company, our moat is time. While our decisions are for the long-term horizon, our execution will be fast – measured in hours and days, not weeks and months.
• Own the canvas. Throw yourself in to build, fix or improve – anything that isn’t done right, irrespective of who did it. Be selfish about improving across the organization – because once the rot sets in, we waste years in surgery and recovery.
• Use data or don’t use data. Use data where you ought to but not as a ‘cover-my-back’ political tool. Be capable of making decisions with partial or limited data. Get better at intuition and pattern-matching. Whichever way you go, be mostly right about it.
• Avoid work about work. Process creeps on purpose, unless we constantly question it. We are deliberate about committing to rituals that take time away from the actual work. We truly believe that a meeting that could be an email, should be an email and you don’t need a person with the highest title to say that out loud.
• High revenue per person. We work backwards from this metric. Our default is to automate instead of hiring. We multi-skill our people to own more outcomes than hiring someone who has less to do. We don’t like squatting and hoarding that comes in the form of hiring for growth. High revenue per person comes from high quality work from everyone. We demand it.

If this role and our work is of interest to you, please apply here. We encourage you to apply even if you believe you do not meet all the requirements listed above.

The position is based out of Chennai. Our work currently involves significant in-person collaboration and we expect you to be present in the city

Position Summary

The GCP Senior Data Engineer is responsible for designing, building, optimizing, and maintaining high‑quality data pipelines and cloud‑native data platforms on Google Cloud Platform (GCP). This role partners closely with data analysts, data scientists, business teams, DevOps, and platform engineering to deliver secure, reliable, and scalable data solutions that support Trane Technologies’ digital strategy.

This position requires strong hands‑on engineering capabilities, cloud experience, and a passion for delivering enterprise‑grade data solutions.Qualifications

Education Requirements

• Bachelor’s /Master’s degree in Computer Science, Information Technology, Data Engineering, Software Engineering, or a related technical field.

Experience Requirements

• 7+ years of total experience in data engineering, data platforms, or data‑centric software engineering.

• 5+ years of hands‑on experience designing and building data pipelines, ETL/ELT workflows, and cloud‑native data solutions.

• 3+ years of direct experience with Google Cloud Platform (GCP) using services such as BigQuery, Cloud Storage, Cloud Run, Datafusion, Dataproc, Composer, and Pub/Sub.

• Advanced proficiency in SQL, Python, and PySpark for data processing and transformation.

• Proven experience developing and supporting production‑grade, end‑to‑end cloud data pipelines.

• Expertise in ELT/ETL design, performance optimization, and data transformation frameworks.

• Strong background in monitoring, logging, alerting, and data quality frameworks across distributed systems.

• Experience with DevOps tools and techniques, including CI/CD, GitHub, and related automation practices.

• Demonstrated experience working in global, cross‑functional, and agile development environments.

• Excellent communication, problem‑solving, and analytical skills with the ability to collaborate across technical and non‑technical teams.

• GCP certification preferred (e.g., Google Cloud Professional Data Engineer).

Core Responsibilities

1. Data Engineering & Cloud Development (Core Responsibilities)

• Design, build, and maintain scalable data processing systems on Google Cloud Platform (GCP).

• Develop end‑to‑end data pipelines to support ingestion, transformation, and storage.

• Build ELT/ETL workflows, database objects, and cloud‑native data orchestration solutions.

• Optimize pipelines for performance, scalability, cost efficiency, and reliability.

• Ensure robust monitoring, alerting, and data quality assurance across distributed systems.

• Implement secure data architectures following Trane Technologies’ standards.

2. Collaboration & Analytics Enablement

• Work closely with data analysts and data scientists to understand business requirements and translate them into scalable data solutions.

• Support analytical use cases, data modelling, and enable self‑service data consumption.

• Partner across global teams, including business stakeholders, product owners, and data governance.

3. DevOps / Platform Engineering Partnership

• Partner with DevOps and platform engineering teams to ensure data infrastructure is secure, reliable, and highly available.

• Apply working knowledge of CI/CD practices (code versioning, automation, testing frameworks) to support cloud‑based deployments.

• Collaborate on environments, pipelines, and promote code through dev → test → prod.

4. Engineering Excellence & Ways of Working

• Participate in code reviews and maintain global coding standards.

• Follow structured engineering methods, documentation practices, and release processes.

• Contribute effectively in distributed, agile development teams across multiple time zones.

• Communicate clearly with both technical and non‑technical stakeholders.

5. Innovation & Continuous Improvement

• Research, evaluate, and propose new tools, technologies, and design patterns.

• Stay current with cloud, data engineering, and analytics trends relevant to enterprise‑scale environments.

• Apply continuous improvement practices to enhance reliability, quality, and developer productivity.

• Bachelor’s degree in computer science, Web Development, or a related field (or equivalent practical experience).
• Minimum of 4 to 8 years of professional experience in Java

development.

• Strong proficiency in Java and object-oriented programming.
• Minimum of 4 years of experience in building microservices with Spring Boot.
• Solid understanding of RESTful APIs and experience with API design and integration.
• Strong problem-solving skills and the ability to think critically.

Looking for a passionate developer and team player who wants to learn, contribute and bring

fun & energy to the team. We are a friendly startup where we provide opportunities to explore

and learn a lot of things(new technology/tools etc.,) in building quality products using

best-in-class technology.

Responsibilities

● Design and develop new features using Full-stack development

(Java/Spring/React/Angular/Mysql) for a cloud(AWS/others) and mobile product

application in SOA/microservices architecture.

● Design awesome features and continuously improve them by exploring alternatives /

technologies to make design improvements.

● Performance testing with Gatling (Scala).

● Work with CI/CD pipeline and tools (Docker, Ansible) to improve build and

deployment process.

● Working with QA to ensure the quality and timing of new release deployments.

Skills/Experience

Good coding/problem solving skills and interest in learning new things will be the key.

Time /Training will be provided to learn new technologies/tools.

● 4 or more years of professional experience in building web/mobile applications using

Java or similar technologies (C#, Ruby, Python, Elixir, NodeJS).

● Experience in Spring Framework or similar frameworks.

● Experience in any DB (SQL/noSQL)

● Any experience in front-end development using React/Vue/Angular/similar

frameworks.

● Any experience with Java/similar testing frameworks (JUnit/Mocks etc).

Skills Required: - Relevant Product Knowledge, Technical Presentation Skills, Product Demonstrations, Proven experience in technical sales & product demonstration roles, Good Verbal Communication.

Areas of Responsibility: -

·      Responsible for explaining our products’ technical functionalities and benefits to potential customers.

·      Responsible for working closely with the sales product team & helping to drive product adoption & sales success.

·      Handle technical questions during demonstrations.

·      Handle technical troubleshooting issues.

·      To Keep the management informed about the product promotional activities.

·      Working with various sales channels - OEMs, End Users, distributors etc. for Product adoption against other manufacturers.

Job Description : 

Responsibilities:

• Develop and maintain automated test scripts using Cypress for web applications.

• Conduct API testing using Postman to ensure the functionality, reliability, and performance of APIs. 

• Collaborate with developers and other stakeholders to identify and resolve defects and issues. 

• Create and execute test plans and test cases for both frontend and backend systems. 

• Design and implement automation frameworks to enhance test coverage and efficiency. 

• Perform load and stress testing to identify performance bottlenecks.

• Analyze and interpret test results, providing detailed reports and recommendations. 

• Stay up-to-date with industry trends and best practices in automation testing.

Requirements:

• Proven experience in automation testing with Cypress.

• Strong knowledge of API testing tools such as Postman.

• Proficiency in scripting languages like JavaScript or Python.

• Familiarity with software QA methodologies, tools, and processes.

• Experience with continuous integration tools like Jenkins.

• Excellent problem-solving skills and attention to detail.

• Strong communication and collaboration skills

Must Have:

  Automation, Cypress, API, Strong Java or .Net coding, Sql

Instrive is a Chennai-based start-up that provides high-quality Dev-ops solutions for clients worldwide. We strive to solve problems and create value in this increasingly digital world. Instrive was founded to create high-quality products and deliver great user experiences worldwide.

Several products are being developed for both in-house purposes and our overseas clients, and we are actively expanding our team of talented professionals.

We are constantly pushing the boundaries of what is possible, and our employees have the opportunity to be at the forefront of this innovation. Our flat organisational structure encourages open communication and idea-sharing and provides ample opportunities for employees to take ownership of their work and make a real impact.

As part of our ambitious product roadmap, we need senior developers with experience in NodeJS.

Your primary responsibility will be to develop UI components, processes, documentation, and an organisation-wide style guide that can be reused across all applications.

Roles and Responsibilities:

• Develop and maintain web applications using Node.js, Express, and related technologies
• Write clean, efficient, and well-documented code.
• Collaborate with the team to design and implement new features and functionality
• Troubleshoot and debug issues to ensure a smooth user experience
• Optimize application performance and scalability
• Participate in code reviews and ensure adherence to coding standards
• Keep up-to-date with the latest technologies and industry trends
• Work with other developers, project managers, and stakeholders to understand project requirements and deliver high-quality solutions

Desired Candidate Profile:

• 3-5 years of experience in web application development using Node.js
• Strong proficiency in JavaScript, including experience with popular libraries and frameworks such as Express.js, Nest.js, and Mongoose
• Experience with front-end technologies such as HTML, CSS, and JavaScript
• Knowledge of web protocols and technologies such as HTTP, REST, and WebSockets
• Experience with NoSQL databases such as MongoDB and SQL databases like MySQL, SQLite, PostgreSQL
• Experience with Git and version control
• Familiarity with Agile development methodologies
• Strong problem-solving and analytical skills
• Excellent communication skills, both verbal and written
• Adaptability to rapid change

Good to have:

• Experience with GraphQL and Apollo
• Familiarity with AWS, Azure, or Google Cloud Platform
• Experience with containerisation technologies such as Docker and Kubernetes
• Experience with unit testing, integration testing, and end-to-end testing frameworks
• Knowledge of microservices architecture and event-driven architecture
• Familiarity with cloud-based development tools such as AWS Lambda and Azure Functions
• Familiarity with load balancing, caching, and performance optimisation techniques
• Experience working with remote teams and communicating effectively with remote stakeholders.

Perks and Benefits:

By working at the intersection of product, strategy, and technology, you will learn how to make strategic decisions, prioritise product features against business objectives, and put the user first.

In addition to the exciting work, Instrive offers our employees a comprehensive benefits package. This includes health insurance, paid time off, and professional development and training opportunities, so our employees can continue to grow and advance in their careers. 

We focus on fostering a positive and collaborative work environment and are committed to helping our employees reach their full potential.

You will make a meaningful impact and create lasting connections with our outstanding team, no matter where your career takes you.