11+ Normalization Jobs in Chennai | Normalization Job openings in Chennai
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🎯 Ideal Candidate Profile:
This role requires a seasoned engineer/scientist with a strong academic background from a premier institution and significant hands-on experience in deep learning (specifically image processing) within a hardware or product manufacturing environment.
📋 Must-Have Requirements:
Experience & Education Combinations:
Candidates must meet one of the following criteria:
- Doctorate (PhD) + 2 years of related work experience
- Master's Degree + 5 years of related work experience
- Bachelor's Degree + 7 years of related work experience
Technical Skills:
- Minimum 5 years of hands-on experience in all of the following:
- Python
- Deep Learning (DL)
- Machine Learning (ML)
- Algorithm Development
- Image Processing
- 3.5 to 4 years of strong proficiency with PyTorch OR TensorFlow / Keras.
Industry & Institute:
- Education: Must be from a premier institute (IIT, IISC, IIIT, NIT, BITS) or a recognized regional tier 1 college.
- Industry: Current or past experience in a Product, Semiconductor, or Hardware Manufacturing company is mandatory.
- Preference: Candidates from engineering product companies are strongly preferred.
ℹ️ Additional Role Details:
- Interview Process: 3 technical rounds followed by 1 HR round.
- Work Model: Hybrid (requiring 3 days per week in the office).
Based on the job description you provided, here is a detailed breakdown of the Required Skills and Qualifications for this AI/ML/LLM role, formatted for clarity.
📝 Required Skills and Competencies:
💻 Programming & ML Prototyping:
- Strong Proficiency: Python, Data Structures, and Algorithms.
- Hands-on Experience: NumPy, Pandas, Scikit-learn (for ML prototyping).
🤖 Machine Learning Frameworks:
- Core Concepts: Solid understanding of:
- Supervised/Unsupervised Learning
- Regularization
- Feature Engineering
- Model Selection
- Cross-Validation
- Ensemble Methods: Experience with models like XGBoost and LightGBM.
🧠 Deep Learning Techniques:
- Frameworks: Proficiency with PyTorch OR TensorFlow / Keras.
- Architectures: Knowledge of:
- Convolutional Neural Networks (CNNs)
- Recurrent Neural Networks (RNNs)
- Long Short-Term Memory networks (LSTMs)
- Transformers
- Attention Mechanisms
- Optimization: Familiarity with optimization techniques (e.g., Adam, SGD), Dropout, and Batch Normalization.
💬 LLMs & RAG (Retrieval-Augmented Generation):
- Hugging Face: Experience with the Transformers library (tokenizers, embeddings, model fine-tuning).
- Vector Databases: Familiarity with Milvus, FAISS, Pinecone, or ElasticSearch.
- Advanced Techniques: Proficiency in:
- Prompt Engineering
- Function/Tool Calling
- JSON Schema Outputs
🛠️ Data & Tools:
- Data Management: SQL fundamentals; exposure to data wrangling and pipelines.
- Tools: Experience with Git/GitHub, Jupyter, and basic Docker.
🎓 Minimum Qualifications (Experience & Education Combinations):
Candidates must have experience building AI systems/solutions with Machine Learning, Deep Learning, and LLMs, meeting one of the following criteria:
- Doctorate (Academic) Degree + 2 years of related work experience.
- Master's Level Degree + 5 years of related work experience.
- Bachelor's Level Degree + 7 years of related work experience.
⭐ Preferred Traits and Mindset:
- Academic Foundation: Solid academic background with strong applied ML/DL exposure.
- Curiosity: Eagerness to learn cutting-edge AI and willingness to experiment.
- Communication: Clear communicator who can explain ML/LLM trade-offs simply.
- Ownership: Strong problem-solving and ownership mindset.
Job Summary:
We are seeking a highly skilled and certified Workday Functional Consultant with 5–10 years of hands-on experience in Workday implementation, support, and enhancement projects. The ideal candidate will hold certification in one or more of the following modules:
- Core HCM
- Core & Advanced Compensation
- Payroll & Absence
- Security
- Workday Help
- Recruitment
The role involves working closely with business stakeholders, HRIS teams, and technical consultants to deliver scalable and efficient Workday solutions aligned with business needs.
Key Responsibilities:
- Act as a subject matter expert (SME) in one or more certified Workday modules.
- Lead or support Workday implementations, enhancements, or optimization projects.
- Translate business requirements into functional configurations within Workday.
- Participate in or lead design sessions and provide functional recommendations.
- Configure and test Workday modules based on approved requirements.
- Support Workday system upgrades and new feature rollouts.
- Assist in resolving daily operational and production issues.
- Provide end-user training, documentation, and support.
- Work collaboratively with cross-functional teams including HR, Finance, IT, and external vendors.
- Ensure Workday security configuration and access control are aligned with compliance standards.
- Perform data analysis, validation, and reconciliation related to Workday transactions and integrations.
Required Qualifications:
- 5–10 years of hands-on Workday functional experience.
- Certification in at least one of the following Workday modules (must be current or verifiable):
- Core HCM
- Core & Advanced Compensation
- Payroll & Absence
- Security
- Workday Help
- Recruitment
- Experience in full lifecycle Workday implementation(s) or major enhancement projects.
- Strong knowledge of Workday business processes, security, and reporting.
- Excellent problem-solving, communication, and stakeholder management skills.
- Ability to work independently and collaboratively in a fast-paced environment.
Preferred Qualifications:
- Multi-module certification is a strong plus.
- Experience with Workday Studio or Integrations is a plus (even if not core responsibility).
- Familiarity with agile project methodologies.
- Workday reporting (custom reports, dashboards) experience.
Position: Manager/Head- Data Scientist/Machine Learning Engineer
- Algorithm Development: Develop cutting-edge algorithms and predictive models to enhance customer experience, optimize inventory management, and drive sales growth
- AI/ML Model Building: Utilize expertise in data science and machine learning to create scalable AI models specifically tailored for both online platforms and brick-and-mortar stores, aiming to improve operational efficiency and customer engagement.
- Ecommerce Optimization: Collaborate with cross-functional teams to implement data-driven solutions for personalized recommendations, demand forecasting, and dynamic pricing strategies to drive online sales and enhance customer satisfaction.
- Deep Learning & Image Recognition: Leverage advanced techniques in deep learning and image recognition to develop innovative solutions for product categorization, visual search, and inventory tracking, optimizing product discovery and inventory management.
- Python Development: Proficiency in Python programming is essential for designing, implementing, and maintaining robust and scalable machine learning pipelines and models, ensuring efficient deployment and integration into existing systems.
Qualifications and Experience:
- Bachelor’s/Master’s degree in Computer Science, Data Science, Statistics, or related fields.
- 3 to 4 years of hands-on experience in data science, machine learning, and deep learning, preferably within the ecommerce or retail sector.
- Proven track record of successful implementation of AI/ML models with tangible business impact.
- Strong proficiency in Python, along with familiarity with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- Experience working with image data, including feature extraction, object detection, and classification.
- Excellent problem-solving skills, ability to work independently, and communicate complex technical concepts effectively to diverse stakeholders.
Role Description
Eligibility:
1. An ex-serviceman preferably with civil work experience in security/training.
2. Age- preferably
3. Preferably from Infantry.
4. If civilian – min 05 years work experience as training manager in the field of security.
Qualifications
- Training & Development and Employee Training skills
- Excellent Communication skills, both oral and written
- Strong Analytical Skills
- Experience in creating and delivering successful training programs
- Demonstrated ability to work well within a team as well as with individuals across all levels of the organization
- Keen attention to detail and demonstrated ability to prioritize and manage multiple tasks effectively
- Bachelor's degree in a relevant field such as Human Resources, Education, Organizational Behavior, or related field
- Additional training or certification in training and development is a plus
- Prior work experience in the security industry is preferred
- Candidate should have strong knowledge of Javascript and HTML5 Canvas
- Should have knowledge of HTML5 Canvas Drawing Pad
- Experience in HTML5 Canvas is a must
- Thorough semantics-level understanding of HTML5 Canvas
- Good understanding of JavaScript programming and DOM manipulation
- Understanding and deployment of Responsive Web Design
- Understanding of how web design/dev is related to web Performance
Other Selection Criterias
- Candidate should be available to join immediately
5+ years of experience in Content Management Systems in general, with at least 3+ yrs. of specific Sitecore experience required. Sitecore 8.X+ experience is ideal.
· Bachelor's in computer science, software engineering or similar
· Hands-on Sitecore development experience.
· The .NET Framework including Visual Studio, C#, and ASP.NET MVC with an understanding of the basics of front end technologies.
· Client-side browser technologies including JavaScript, CSS, and HTML, Responsive Web Design, JQuery and other front end development tools. Experience with Agile methodologies
· Experience with REST, Web Services, Web application frameworks
· Experience with build automation tools
· Experience in TDD and software testing frameworks
· Knowledge of IDEs and source control management (ideally TFS, GIT, SVN or similar)
· Strong adherence to a consistent delivery methodology and associated deliverable generation
Responsibilities: ·
- Develop comprehensive product documentation that meets global standards.
- Work with Engineering team to create Product Technical documentation, Knowledgebase, API Documentation.
- Work with Product Management team to create Product User Guides, FAQs, Support Knowledgebase etc.
- Work with Technical & Marketing teams to create content for Technical Blogs, White Papers, Product Comparisons, Case Studies etc.
- Periodically review existing documentation and update them for Product Releases, prepare Release Notes.
- Obtain a deep understanding of products to translate complex product information into simple, polished, and engaging content.
Skills and Qualifications:
- Bachelor’s degree in relevant technical field.
- 2-8 years’ experience as an effective technical writer for products in the Cloud Computing Industry.
- Proven ability to quickly grasp complex technical concepts and create easily understandable text and pictures.
- Understanding of Cloud Concepts and experience in creating related documentation is a must.
- Superior written and verbal communication skills, with a keen eye for detail.
- Experience working with engineering to improve user experience and create visuals for technical support content.
- Experience working with video (screen capture) creation tools for user documentation.
- Understanding of REST APIs and ability to do simple checks using Postman or similar tools.
- Experience using Wordpress and other similar tools to create documentation.
Skills
CLOUD COMPUTING, Cloud Concepts, DOCUMENTATION
Job Description: Full Stack Developer (Angular/API)
- Experience in developing web and mobile applications using Frontend & Backend framework
- Hands-on Experience in developing frontend UI using Angular.
- Hands-on experience in API development preferably using .net Core.
- Hands-on Experience with ORM solutions like Entity Framework, Dapper, hibernate
- Strong knowledge of front-end UI frameworks like Bootstrap, Material, Prime NG
- Strong Knowledge of multiple front-end languages and libraries (e.g. HTML/ CSS, JavaScript, XML, jQuery)
- Knowledge of cloud technology like Azure/AWS
- Must have strong OOPS knowledge
- Must have Knowledge Design Principle
- Strong knowledge of writing DB Query, Proc, View, indexing & Query Optimization skill
- Must know SDLC/AGILE Software development skill
- Must know source code management tool TFS, SVN OR GIT
- Willingness to participate in organization initiatives and create a reusable library, POC
- Inclination towards cutting-edge technology and the latest framework
- Strong troubleshooting skills and Analytical mind
- Excellent communication and team player.
The FullStack Developer primarily participates in designing and implementing new services as well as participates in customer delivery. It will be possible to influence your work profile based on your interests.
While not mandatory, a generic understanding of user interfaces and being able to position oneself as an end-user is highly desirable. We appreciate also prior knowledge of the Image Processing domain.
We are looking for well-rounded people who care about their craft and understand software development. While we value a formal degree in computer science we do not require one - a candidate with a strong background, open mind and ability to learn would be an ideal addition to our team.
That being said, here is what we think the ideal team member would be:
Responsibilities :
- Develop and Integrate Django backend and API's with frontend framework.
- Develop Angular applications
- Working closely with UX and Front-end Developers
- Participating in architectural, design and product discussions
- Designing and creating RESTful APIs for internal and partner consumption
- Working in an agile environment with an excellent team of engineers
Requirements :
- Good experience developing Angular applications into production
- Good experience with the Django REST framework
- Strong understanding of the Angular framework as well as javascript, jQuery and HTML/CSS
- Good experience on designing and structuring of database most likely ORM (i.e MongoDB)
- Knowledge of how to build and use with RESTful APIs
- Good experience of Python coding skills
- Strong knowledge of version control (i.e. git, svn, etc.)
- Experience deploying Python applications into production
Qualification: Engineering from CSE/IT
Requirements:-
- Bachelor’s Degree or Master’s in Computer Science, Engineering,Software Engineering or a relevant field.
- Strong experience with Windows/Linux-based infrastructures, Linux/Unix administration.
- knowledge of Jira, Bitbucket, Jenkins, Xray, Ansible, Windows and .Net. as their Core Skill.
- Strong experience with databases such as SQL, MS SQL, MySQL, NoSQL.
- Knowledge of scripting languages such as Shell Scripting /Python/ PHP/Groovy, Bash.
- Experience with project management and workflow tools such as Agile, Jira / WorkFront etc.
- Experience with open-source technologies and cloud services.
- Experience in working with Puppet or Chef for automation and configuration.
- Strong communication skills and ability to explain protocol and processes with team and management.
- Experience in a DevOps Engineer role (or similar role)
- AExperience in software development and infrastructure development is a plus
Job Specifications:-
- Building and maintaining tools, solutions and micro services associated with deployment and our operations platform, ensuring that all meet our customer service standards and reduce errors.
- Actively troubleshoot any issues that arise during testing and production, catching and solving issues before launch.
- Test our system integrity, implemented designs, application developments and other processes related to infrastructure, making improvements as needed
- Deploy product updates as required while implementing integrations when they arise.
- Automate our operational processes as needed, with accuracy and in compliance with our security requirements.
- Specifying, documenting and developing new product features, and writing automating scripts. Manage code deployments, fixes, updates and related processes.
- Work with open-source technologies as needed.
- Work with CI and CD tools, and source control such as GIT and SVN.
- Lead the team through development and operations.
- Offer technical support where needed, developing software for our back-end systems.






