Job Description

About the Role

We are seeking an experienced and innovative AI & Machine Learning Engineer with a strong foundation in machine learning, deep learning, and computer vision. The ideal candidate will bring both hands-on technical expertise and a deep understanding of AI methodologies to help design, build, and scale intelligent systems across our product ecosystem.

In this role, you will join the development of intelligent systems using cutting-edge models and frameworks, such as YOLO, CNNs, and Transformers, and work across teams to translate complex AI research into scalable, production-grade systems.

Key Responsibilities

End-to-End ML Development: Design, implement, and deploy scalable machine learning and deep learning models for real-world applications in NLP, computer vision, and predictive analytics. Computer Vision Engineering: Develop advanced image and video processing algorithms using OpenCV, CNNs, and deep learning-based object detection and segmentation frameworks. Natural Language Processing: Design and fine-tune NLP models for tasks such as entity recognition, sentiment analysis, and document classification using frameworks like Hugging Face Transformers, spaCy, or NLTK. Model Evaluation & Optimization: Apply advanced regression, classification, and optimization techniques to improve model accuracy, robustness, and generalization. Research & Innovation: Stay abreast of the latest research in machine learning, computer vision, and NLP, and translate new concepts into practical applications. Data Management: Oversee data collection, labeling, preprocessing, and feature engineering pipelines to ensure data quality and readiness. Collaboration & Integration: Partner with cross-functional engineering teams to integrate AI models into production systems and optimize performance for scalability.

Required Qualifications

Education: Bachelor's or Master's degree in Artificial Intelligence, Data Science, Ai based Engineering, or a related field.

Experience

1-2 years of hands-on experience in AI/ML engineering, data science, or related roles.

Technical Expertise

Strong proficiency in Python and ML libraries such as TensorFlow, PyTorch, scikit-learn, and OpenCV. Proven experience in computer vision applications (object detection, segmentation, OCR, etc.). Hands-on experience with NLP frameworks (Hugging Face, spaCy, NLTK, or similar). Solid understanding of regression models, statistical learning, and feature engineering. Experience designing and training deep learning architectures (ANNs, CNNs, RNNs, Transformers). Familiarity with cloud-based ML environments (AWS Sagemaker, GCP AI Platform, Azure ML) and containerization tools (Docker, Kubernetes). Working knowledge of data pipelines, model versioning, and MLOps workflows.

Preferred Skills

Exposure to multimodal AI (text, image, and video data). Experience with model interpretability and explainable AI (XAI) frameworks. Understanding of edge AI or real-time inference systems. Knowledge of distributed training and performance optimization techniques. Strong analytical, problem-solving, and communication skills. Ability to translate complex technical concepts into actionable insights for non-technical stakeholders
Job Type: Full-time

Pay: ₹15,000.00 - ₹25,000.00 per month

Work Location: In person