We are seeking a highly skilled and experienced Python Developer with a strong background in Deep Learning to join our dynamic AI/ML team. The ideal candidate will be instrumental in designing, developing, and deploying advanced deep learning models, with a particular focus on face recognition systems and other computer vision applications. You will work on the entire ML lifecycle, from data acquisition and model training to deployment and optimization, contributing directly to our core AI initiatives.
Key Responsibilities :
Design, develop, and implement robust and scalable deep learning models for face recognition, object detection, and other computer vision tasks.
Develop and maintain high-quality Python code for data preprocessing, model training, evaluation, and deployment.
Collaborate with data scientists, AI researchers, and software engineers to integrate deep learning solutions into existing and new products.
Perform extensive data analysis, feature engineering, and data augmentation to prepare datasets for deep learning models.
Evaluate, optimize, and fine-tune deep learning models for performance, accuracy, and efficiency in production environments.
Stay up-to-date with the latest advancements in deep learning, computer vision, and AI research, and apply relevant techniques to projects.
Implement and adhere to best practices for MLOps, including version control, continuous integration/deployment (CI/CD) for ML models, and model monitoring.
Contribute to the entire machine learning lifecycle, from problem definition and data exploration to model deployment and maintenance.
Ensure the ethical and responsible development of AI systems, with a focus on bias detection and mitigation, and data privacy (e.g., GDPR compliance).
Qualifications :
Education :
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Electrical Engineering, or a related quantitative field. A Ph.D. is a plus.
Experience :
3+ years of professional experience as a Python Developer, with a significant focus on deep learning projects.
Proven experience in developing and deploying computer vision applications, specifically face recognition systems.
Technical Skills :
Expert-level proficiency in Python and its ecosystem for AI/ML (NumPy, Pandas, Matplotlib, Seaborn).
Strong expertise in Deep Learning frameworks: TensorFlow and/or PyTorch (including Keras).
In-depth knowledge of Convolutional Neural Networks (CNNs) and other relevant neural network architectures (e.g., RNNs, GANs, Transformers).
Solid understanding of Computer Vision fundamentals and practical experience with libraries like OpenCV.
Experience with face detection, face alignment, feature embedding (e.g., FaceNet), and face matching algorithms.
Familiarity with liveness detection techniques is highly desirable.
Proficiency in data manipulation, preprocessing, and feature engineering for large datasets.
Strong understanding of core mathematical concepts: linear algebra, calculus, probability, and statistics.
Experience with cloud platforms (AWS, Azure, GCP) for training and deploying ML models.
Familiarity with MLOps tools and practices (e.g., Docker, MLflow, Kubernetes).
Experience with version control systems (Git). Soft Skills
Excellent problem-solving and analytical abilities.
Strong communication and collaboration skills, with the ability to explain complex technical concepts to diverse audiences.
High degree of curiosity and a passion for continuous learning in the rapidly evolving AI field.
Proactive, adaptable, and able to work effectively in a fast-paced, team-oriented environment.
Commitment to ethical AI development and data privacy.
Bonus Points :
Experience with other programming languages like C++ or Java for high-performance computing.
Contributions to open-source AI/ML projects or relevant publications.
Experience with distributed computing for large-scale model training.
Knowledge of specialized hardware for AI (GPUs, TPUs).
Interested candidates can forward their resume at hr@axepertexhibits.com or call at 9211659314.
Job Type: Full-time
Pay: ₹35,000.00 - ₹60,000.00 per month
Schedule:
Day shift
Supplemental Pay:
Overtime pay
Work Location: In person
Beware of fraud agents! do not pay money to get a job
MNCJobsIndia.com will not be responsible for any payment made to a third-party. All Terms of Use are applicable.