Deep Learning Engineer Jobs in Coimbatore AI and ML Company

📋 Job Description

Jobzi is sourcing qualified candidates for Deep Learning Engineer positions in Coimbatore's private AI and ML Company sector. This is a full-time opportunity with a reputed Artificial Intelligence and Machine Learning employer in Coimbatore offering competitive salary, structured growth, and a professional work environment. Tamil communication skills are preferred alongside English for professional and business interaction in Coimbatore.

📌 Key Responsibilities

• Design and train deep neural networks including CNNs, RNNs, and Transformer-based architectures
• Optimise training pipelines for GPU utilisation and memory efficiency on multi-GPU setups
• Implement data augmentation, regularisation, and transfer learning strategies to improve model generalisation
• Fine-tune pre-trained foundation models on domain-specific datasets
• Profile and debug training runs using TensorBoard, Weights and Biases, or equivalent tools
• Collaborate with applied research teams to implement paper methods into experimental prototypes
• Deploy trained deep learning models to production serving infrastructure with latency constraints

🎓 Qualifications and Requirements

• M.Sc. or B.E. in Computer Science with 2 to 6 years of deep learning engineering experience
• Strong proficiency in PyTorch with hands-on experience training CNN, RNN, and Transformer models
• Understanding of GPU programming concepts and CUDA-level optimisation fundamentals
• Experience with transfer learning, fine-tuning, and data augmentation pipelines
• Ability to read and implement deep learning research papers
• Familiarity with training orchestration tools and experiment tracking platforms
• Strong mathematical foundations in linear algebra, calculus, and probability
• Good Tamil and English communication skills for team coordination and client interaction in Coimbatore.

✅ Required Skills

🏆 Certifications and Qualifications

M.Sc./Ph.D. in Computer Science, Mathematics, or Statistics for research roles; B.E. CS with deep learning frameworks (TensorFlow, PyTorch) for ML engineer roles; AWS Machine Learning Specialty or cloud provider Professional Machine Learning Engineer certifications for cloud ML roles; Coursera Deep Learning Specialization (Andrew Ng) widely recognised; Hugging Face certifications for LLM roles; Databricks ML Professional for MLOps roles; NVIDIA Deep Learning Institute certifications for GPU computing and inference optimisation roles