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.

Key Responsibilities

• Backend & API Engineering (60% Focus)
• Design and implement REST APIs and microservices for high-performance AI systems.
• Apply enterprise object-oriented programming best practices for secure, scalable backend services.
• Integrate AI-powered features with cloud-native architectures.
• Generative AI & LLM Development (40% Focus)
• Build LLM-powered features with the OpenAI API or other LLM APIs (reasoning and non-reasoning models, temperature tuning, version control).
• Implement retrieval-augmented generation (RAG).
• Apply advanced prompt engineering and model tuning techniques for optimized results.
• Deploy and manage solutions using Docker and secure integrations (e.g., SSO, Google Drive).

What We’re Looking For

• 10+ years of backend engineering experience (REST APIs, microservices, OO enterprise architecture).
• 3+ years of experience building AI/ML solutions (LLMs, RAG, OpenAI API).
• Strong hands-on Python expertise and object-oriented design patterns.
• Hands-on experience with Langchain, Lambda, Docker, and secure system integrations.
• Proven track record delivering production-ready, scalable applications.

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

1. 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

• Provide L1 support including desktops, laptops and printers and other IT related accessories
• Carry out initial troubleshooting and resolve the issue; if not escalate to L2 support or corresponding OEM
• Raise ticket within supplied ticketing system and update and close with end user confirmation
• Install and configure Windows Operating Systems and application software Like MS-Office, Outlook, Antivirus etc
• Install, configure and upgrade security software (e.g. Antivirus programs) like McAfee or Kaspersky software
• Install, configure and troubleshoot various PC Hardware Components
• Configure and troubleshoot of LAN and Wi-Fi setup
• Install and troubleshoot Printer, Scanner and Projector

About you:

• 1-2 years of experience as a Desktop Engineer from any industry

• Hands on experience in troubleshooting in Desktop, Laptop and PC Hardware

• Strong experience in Anti-Virus software installation and Management

• Good experience in configuration and troubleshooting of Network Devices

• Basic knowledge of Server administration and Server hardware

• Good working knowledge on MS-Office

• Good communication and problem-solving skill

• Any bachelor’s degree with IT background would be a plus

About:

Pangolin is a brand consultancy and creative agency. We help companies create positive change in the world by raising awareness through branding and inspiring through storytelling. We’re growing our team of creatives and strategists. Join us if you’re craving work that makes a real difference in the world, and a work culture that allows you to have a balanced life. 

Role:

B2B Marketing Generalist

Description:

This role will be a mix of client management and project management. You’ll be expected to understand the client’s goals, weekly and monthly SLAs, and lead a team to delivery. Have you worked with marketing and sales teams in an integrated manner and targeted enterprise clients in different geographies across the globe? Do you understand enterprise sales cycles, buying processes, different roles? Do you have exposure to different domains, industries, marketing, and sales technologies? Do you understand the big picture better than the details? This job might be for you! 

Competencies:

• Able to multitask independently with minimal supervision
• Naturally able to think critically and take independent decisions
• Meticulous with project documentation

Skills:

• Experience with social media, digital marketing, marketing automation, CRM, and marketing analytics tools
• Highly proficient with Microsoft Office (Excel, PowerPoint)
• Experience with agile project planning and management will be a plus

Experience:

• Demonstrable B2B GTM experience that includes SEO/SEM, email marketing, social media, and/or display advertising campaigns.
• Highly creative with experience in identifying target audiences and devising marketing campaigns that engage, inform, and motivate.
• Ability to write/execute creative and project briefs and communicate technical info with ease.

Location and Type: 

Remote, Full-time

Evaluation:

Portfolio will be checked for expertise on handling marketing communication and campaigns in the B2B domain. Please share only samples of work done by yourself end-to-end. Shortlisting will be followed by a video interview.

• Research and test novel machine learning approaches for analysing large-scale distributed computing applications.
• Develop production-ready implementations of proposed solutions across different models AI and ML algorithms, including testing on live customer data to improve accuracy,  efficacy, and robustness
• Work closely with other functional teams to integrate implemented systems into the SaaS platform
• Suggest innovative and creative concepts and ideas that would improve the overall platform

‍

The ideal candidate must have the following qualifications:

• 5 + years experience in practical implementation and deployment of large customer-facing ML based systems.
• MS or M Tech (preferred) in applied mathematics/statistics;  CS or Engineering disciplines are acceptable but must have with strong quantitative and applied mathematical skills
• In-depth working, beyond coursework, familiarity with classical and current ML techniques, both supervised and unsupervised learning techniques and algorithms
• Implementation experiences and deep knowledge of Classification, Time Series Analysis, Pattern Recognition, Reinforcement Learning, Deep Learning, Dynamic Programming and Optimization
• Experience in working on modeling graph structures related to spatiotemporal systems
• Programming skills in Python is a must
• Experience in developing and deploying on cloud (AWS or Google or Azure)
• Good verbal and written communication skills
• Familiarity with well-known ML frameworks such as Pandas, Keras, TensorFlow

Most importantly, you should be someone who is passionate about building new and innovative products that solve tough real-world problems.

Chennai, India