11+ Normalization Jobs in Chennai | Normalization Job openings in Chennai
Apply to 11+ Normalization Jobs in Chennai on CutShort.io. Explore the latest Normalization Job opportunities across top companies like Google, Amazon & Adobe.
🎯 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.
Role: Lead Java Developer
Work Location: Chennai, Pune
No of years’ experience: 8+ years
Hybrid (3 days office and 2 days home)
Type: Fulltime
Skill Set: Java + Spring Boot + Sql + Microservices + DevOps
Job Responsibilities:
Design, develop, and maintain high-quality software applications using Java and Spring Boot.
Develop and maintain RESTful APIs to support various business requirements.
Write and execute unit tests using TestNG to ensure code quality and reliability.
Work with NoSQL databases to design and implement data storage solutions.
Collaborate with cross-functional teams in an Agile environment to deliver high-quality software solutions.
Utilize Git for version control and collaborate with team members on code reviews and merge requests.
Troubleshoot and resolve software defects and issues in a timely manner.
Continuously improve software development processes and practices.
Description:
8 years of professional experience in backend development using Java and leading a team.
Strong expertise in Spring Boot, Apache Camel, Hibernate, JPA, and REST API design
Hands-on experience with PostgreSQL, MySQL, or other SQL-based databases
Working knowledge of AWS cloud services (EC2, S3, RDS, etc.)
Experience in DevOps activities.
Proficiency in using Docker for containerization and deployment.
Strong understanding of object-oriented programming, multithreading, and performance tuning
Self-driven and capable of working independently with minimal supervision
Function : Sr. DB Developer
Location : India/Gurgaon/Tamilnadu
>> THE INDIVIDUAL
- Have a strong background in data platform creation and management.
- Possess in-depth knowledge of Data Management, Data Modelling, Ingestion - Able to develop data models and ingestion frameworks based on client requirements and advise on system optimization.
- Hands-on experience in SQL database (PostgreSQL) and No-SQL database (MongoDB)
- Hands-on experience in performance tuning of DB
- Good to have knowledge of database setup in cluster node
- Should be well versed with data security aspects and data governance framework
- Hands-on experience in Spark, Airflow, ELK.
- Good to have knowledge on any data cleansing tool like apache Griffin
- Preferably getting involved during project implementation so have a background on business knowledge and technical requirement as well.
- Strong analytical and problem-solving skills. Have exposure to data analytics skills and knowledge of advanced data analytical tools will be an advantage.
- Strong written and verbal communication skills (presentation skills).
- Certifications in the above technologies is preferred.
>> Qualification
- Tech /B.E. / MCA /M. Tech from a reputed institute.
Experience of Data Management, Data Modelling, Ingestion for more than 4 years. Total experience of 8-10 Years
Do you want to help build real technology for a meaningful purpose? Do you want to contribute to making the world more sustainable, advanced and accomplished extraordinary precision in Analytics?
What is your role?
As a Computer Vision & Machine Learning Engineer at Datasee.AI, you’ll be core to the development of our robotic harvesting system’s visual intelligence. You’ll bring deep computer vision, machine learning, and software expertise while also thriving in a fast-paced, flexible, and energized startup environment. As an early team member, you’ll directly build our success, growth, and culture. You’ll hold a significant role and are excited to grow your role as Datasee.AI grows.
What you’ll do
- You will be working with the core R&D team which drives the computer vision and image processing development.
- Build deep learning model for our data and object detection on large scale images.
- Design and implement real-time algorithms for object detection, classification, tracking, and segmentation
- Coordinate and communicate within computer vision, software, and hardware teams to design and execute commercial engineering solutions.
- Automate the workflow process between the fast-paced data delivery systems.
What we are looking for
- 1 to 3+ years of professional experience in computer vision and machine learning.
- Extensive use of Python
- Experience in python libraries such as OpenCV, Tensorflow and Numpy
- Familiarity with a deep learning library such as Keras and PyTorch
- Worked on different CNN architectures such as FCN, R-CNN, Fast R-CNN and YOLO
- Experienced in hyperparameter tuning, data augmentation, data wrangling, model optimization and model deployment
- B.E./M.E/M.Sc. Computer Science/Engineering or relevant degree
- Dockerization, AWS modules and Production level modelling
- Basic knowledge of the Fundamentals of GIS would be added advantage
Prefered Requirements
- Experience with Qt, Desktop application development, Desktop Automation
- Knowledge on Satellite image processing, Geo-Information System, GDAL, Qgis and ArcGIS
About Datasee.AI:
Datasee>AI, Inc. is an AI driven Image Analytics company offering Asset Management solutions for industries in the sectors of Renewable Energy, Infrastructure, Utilities & Agriculture. With core expertise in Image processing, Computer Vision & Machine Learning, Takvaviya’s solution provides value across the enterprise for all the stakeholders through a data driven approach.
With Sales & Operations based out of US, Europe & India, Datasee.AI is a team of 32 people located across different geographies and with varied domain expertise and interests.
A focused and happy bunch of people who take tasks head-on and build scalable platforms and products.
Minimum of 4+ years of experience in Java development
- Experience delivering Services (REST, SOAP) and Web applications in Micro services architecture
- Experience developing and deploying Java solutions to cloud
- Experience in Spring Boot and components of Spring framework
- Experience in a JavaScript framework such as Angular or React
- Experience in TDD using Junit or similar frameworks
· Experience in Design Patterns and service oriented architectural principles, Data structures and Algorithms.
· Individual should be an active participant in the product design and code reviews for self and team and can competently review any aspect of their product or major sub-system.
· Experience in SQL, Unix skills.
· Good communication Skill
Role: Appian/Unqork Senior Solution Architect/Practice Lead
Experience: 5+ Years
Location: Trichy / Bangalore /Chennai (Post Covid)
Shift: US EST or CST
Responsibilities
- Provide pre-sales technical/functional support to prospective clients and customers with minimal supervision
- Work with sales to create and submit proposals, promote sales effort by helping customers leverage low code/no code tools for software development life cycle
- Build a solution delivery team
- Provide day-to-day guidance and technical leadership to a team of Appian/Unqork (or other low code/no code platform) Administrators, Developers, and Data Architects.
- Act as the technical lead, leading interactions with customer business and technical teams
- Work closely and collaboratively with the project team to deliver on project scope
- Works collaboratively with the Client and Team to articulate the vision and outcomes of the project and each release, and translating that vision into an actionable plan; Effectively manage customer expectations
- Develop guidance on Release Management process, working with Team and Client
- Serve as the day-to-day Technical POC for VDart team
- Plan and coordinate release logistics with other application teams and Stakeholders, identifying and accounting for dependencies
- Contribute with original, creative thinking related to solving customer issues, creating relevant features, and advancing Appain/Unqork low code/no code automation tool strategy
- Lead detailed discovery and scoping calls
- Work closely with sales to review requirements and develop value-focused proposals
- Describe the benefits and value of integrating Appian/Unqork low code/no code tools to integrate into a customers’ SDLC
Skills and Qualifications
- Bachelor (BS) of Science degree in Computer Science, Engineering, Mathematics, Business, Management or equivalent disciplines.
- Certification in Appian or Unqork
- 7+ years of IT experience, including full cycle software/web development and release management/implementation knowledge
- 4+ years' experience in a technical leadership position with prior experience supervising and leading teams
- 2+ years' experience of successful implementations of very large Appian or Unqork solutions
- Technical leadership in implementing enterprise-class application delivery
- Experience with Agile development methodologies
- Excellent writing, presentation, negotiation and communication skills
- Strong analytical and organizational skills
- Ability to manage and prioritize multiple tasks simultaneously
- Ability to explain technical content to non-technical, business stakeholders
- Prior experience developing proposals to respond to customer needs preferred




