Education: Strong academic background with minimum 70% in Mathematics (X/XII/UG/PG); average score above 65%
Who We're Looking For:
We're seeking a passionate technologist who thrives on building innovative solutions and writing clean, production-ready code. This role is perfect for someone who enjoys working across different technologies and solving real-world business problems using AI and ML.
If you're someone who loves getting into the weeds of ML model deployment, enjoys experimenting with LLMs, or is excited about turning data into impact--this is the role for you.
Your Role:
As a AI/ML Engineer, you'll be involved in crafting intelligent automation solutions and developing core components of our AI-driven products. You will also work with clients on implementing ML-based use cases in real-world scenarios.
Assist in developing machine learning models, particularly for computer vision and biometric applications.
Support the training, testing, and evaluation of AI/ML models.
Perform data preprocessing, feature engineering, and dataset management.
Work with facial recognition and liveliness detection algorithms.
Collaborate in developing proof-of-concept (POC) models for AI-based products.
Participate in system integration, testing, and performance optimization.
Document code, model performance, and contribute to technical reports.
Continuously learn new AI/ML techniques and best practices.
Core Skills We're Looking For:
Strong understanding of Python and popular AI/ML libraries such as TensorFlow, Keras, PyTorch, OpenCV, and Scikit-learn.
Strong understanding of computer vision and image processing techniques.
Familiarity with AI/ML concepts: GPT models, custom LLMs, or fine-tuning supervised, unsupervised learning, neural networks, model evaluation.
Good analytical thinking and problem-solving skills.
Understanding of software development life cycle and version control tools like Git
Experience working with NLP or Computer Vision models (e.g., object detection, classification)
Solid understanding of the machine learning lifecycle -- from model development to deployment
Preferred Skills (Good to Have)
Strong hands-on coding skills in Python
Hands-on experience with training models end-to-end
Experience with handling datasets
Good understanding of model evaluation metrics
Libraries like spaCy, YOLO, Hugging Face Transformers
Frameworks such as TensorFlow, Keras, PyTorch, MS-CNTK
Exposure to face recognition frameworks (e.g., FaceNet, Dlib)
Basic understanding of liveness detection techniques
Familiarity with REST APIs and basic backend integration
Familiarity with Git and basic software engineering practices
Knowledge of Docker and containerized environments
Convert and optimize models for deployment (ONNX, TensorRT, OpenVINO -- optional but preferred)
Working in cloud environments or contributing to DevOps/MLOps pipelines
Deploying ML models at scale with monitoring and lifecycle automation
Experience with cloud-based AI platforms (AWS, Azure, GCP)
Job Type: Full-time
Pay: ?460,000.00 - ?480,000.00 per year
Work Location: In person
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