ML Ops Engineer II

Job Title: ML Ops Engineer II

Location: Chennai

Department: Artificial Intelligence / Machine Learning

Experience Level: 3–5 years

Employment Type: Full-Time

Company Description:

Big Bang Boom Solutions (BBBS) is a Chennai-based deep-tech defence startup focused on developing indigenous defence and security technologies. It operates as a defence solutions integrator that builds advanced systems in areas such as artificial intelligence, UAS/drone technology, electronic warfare, material science, propulsion, communication systems, and data security, aiming to create intellectual property for national defence applications.

BBBS develops products such as anti-drone defence systems, see-through armor interfaces, smart surveillance platforms, and other custom defence technologies. The company has participated in and won multiple iDEX challenges sponsored by the Indian Ministry of Defence, receiving government grants and contracts.

Job Summary:

We are looking for a passionate and skilled Machine Learning / Deep Learning Engineer II to join our AI team. The ideal candidate will have a strong foundation in computer science and hands-on experience developing and deploying ML/DL models using modern frameworks and tools. You will work on real-world problems involving computer vision, data processing, and model optimization.

Key Responsibilities:

• Design, develop, and deploy ML/DL models using TensorFlow, PyTorch, and Scikit-learn.
• Implement computer vision solutions using OpenCV and deep learning techniques.
• Optimize model performance using CUDA, data augmentation, and hyperparameter tuning.
• Write efficient and scalable code in Python and C++ for model training and inference.
• Work with large datasets using Pandas and NumPy for data preprocessing and analysis.
• Collaborate with data scientists, software engineers, and product teams to integrate models into production systems.
• Conduct experiments, analyze results, and iterate to improve model performance.
• Stay up to date with the latest research and advancements in machine learning and deep learning.

Required Qualifications:

• B.E./B.Tech in Computer Science, Artificial Intelligence, Data Science, or a related field.
• 3–5 years of experience in machine learning and deep learning development.
• Strong understanding of machine learning and deep learning algorithms and the model development lifecycle.

Technical Skills:

• Programming Languages: Python, C++
• Frameworks: TensorFlow, PyTorch, Scikit-learn
• Libraries & Tools: OpenCV, Pandas, NumPy
• GPU Programming: CUDA
• Techniques: Data Augmentation, Hyperparameter Tuning, Model Deployment, Performance Optimization

Preferred Attributes:

• Strong analytical and problem-solving skills.
• Excellent communication and teamwork abilities.
• Passion for innovation and continuous learning in AI/ML.