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

🎯 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.

What We’re Looking For

• 4+ years of backend development experience in scalable web applications.
• Strong expertise in Python, Django ORM, and RESTful API design.
• Familiarity with relational databases like PostgreSQL and MySQL databases
• Comfortable working in a startup environment with multiple priorities.
• Understanding of cloud-native architectures and SaaS models.
• Strong ownership mindset and ability to work with minimal supervision.
• Excellent communication and teamwork skills.

Roles and Responsibilities

1.

Manage client relationships, and facilitators relationship at MHFAI for training and post-training support.

2.

Ideate, design, and implement program that focused on post-training support for mental health first-aiders.

3.

Leverage the new products of MHFAI to the clients that ensures implementation of mental health by building tools and guidelines (for organized groups).

4.

Oversee and facilitate MHFAI instructors for training and upskilling.

5.

Monitor and coordinate the MHFAI Awards program with all the stakeholders involved.

6.

Draft and initiate scientific research, and create tools required at workplace to measure mental health.

7.

Plan and manage webinars, events and activities to promote the idea of mental health at workplaces and educational institutions.

8.

Draft, design, manage and implement guidelines / resources with focus on mental health for the benefit of organized groups.

9.

Keep up-to-date with the latest trends and best practices in Learning and Development and / or mental health, and incorporate them into our training programs.

10.

Manage the Learning and Development budget, ensuring that resources are allocated effectively and efficiently.

11.

Provide support in other operational functions of MHFA as needed.

Requirements:

•

1-5 years in clinical work and / or mental health training

•

Qualification: Msc. Counselling Psychology

Msc. Applied Psychology (any specialization, preferably HR Specialization ) Master of Social work

•

Experience in Clinical Practice / Research

•

Exposure to mental health training and created content or training on Mental Health for Adult

•

Experience of having previously worked in organized group is desirable

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About the job

The ideal candidate will be familiar with the full software design life cycle. They should have experience in designing, coding, testing and consistently managing applications They should be comfortable coding in a number of languages and have an ability to test code in order to maintain high-quality code.

Job Responsibilities :

• Design and develop scalable systems using .Net Core/ASP.Net MVC and SQL.
• Writing T-SQL scripts, stored procedures and performance tuning.
• Migrating applications to newer technologies
• Understanding requirements and convert into technical designs.

Qualifications

• Bachelor's degree in Computer Science or relevant field
• 1 to 4+ years of experience working with .NET or relevant experiences
• Experience developing web-based applications in C#, HTML, JavaScript, VBScript/ASP, or .NET
• Experience working with MS SQL Server and MySQL Knowledge of practices and procedures for full software design life cycle

You'll be working on : .Net WEB API projects, .Net core Version 6.0, Cloud projects using Azure like Working with DataBricks, EventHubs, Cosmos DB, WebHook, etc., SQL DB, Postgres SQL, Migration projects, DataLake projects.

Strong hands-on experience with ReactJS, Redux, TypeScript, HTML, Bootstrap, Material UI, CSS3/SCSS, Webpack, NPM, NVM, Visual Studio Code

Knowledge/Experience on Restful APIs integration.

Unit testing with Jasmine or an equivalent framework

Experience or Knowledge in developing complex reusable component libraries such as complex grids, spreadsheet components etc.,

Strong in UI/UX standards implementation

Understanding of browser fundamentals and Page Optimizations

Experience working with Git and Azure

• On the Job Training and support.
• Get Excellent Incentives on a regular basis.
• Saturday and Sunday fixed Weekend off.
• Growth in Career (Become a Team Lead).
• Exposure to multiple industries and the latest IT trends.

• Education: Any Graduate/ Post Graduate/ 10th/12th Pass (Preferably in IT, Computer Science)
• Good Communication - Verbal and written (English Mandatory).
• Good Attitude & Team Player.
• Speaking with professionals across the USA.
• Knowledge of MS Office (will be a plus).
• People with experience can also apply.

• Strong programming skills in JavaScript.
• Experience with ReactJ, frontend frameworks like bootstrap, Jquery.
• Good knowledge in HTML5, CSS, CSS3 and Object Oriented concepts
• Experience in working with RESTful APIS.
• Experience with HTTP, HTTPS and WebSockets.
• Knowledge in version control- Git, Subversion.
• Exposure to OWASP standards and guidelines.

• Create and maintain optimal data pipeline architecture,
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Work with data and analytics experts to strive for greater functionality in our data systems.

• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Strong analytic skills related to working with unstructured datasets.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• A successful history of manipulating, processing and extracting value from large disconnected datasets.
• Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
• Strong project management and organizational skills.
• Experience supporting and working with cross-functional teams in a dynamic environment.
• We are looking for a candidate with 5+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools: Experience with big
  • data tools: Hadoop, Spark, Kafka, etc.
  • Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
  • Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
  • Experience with AWS cloud services: EC2, EMR, RDS, Redshift
  • Experience with stream-processing systems: Storm, Spark-Streaming, etc.
  • Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.