Deep Learning Engineer - Neural Networks (3-5 yrs)

Profile : Deep Learning Engineer.

Location : Vijayawada.

Exp : 3-5 Years.

Job Summary :

The Deep Learning Engineer will specialize in neural network models and deep learning frameworks for predictive disaster analytics..

Key Responsibilities :.

- Design and implement deep learning models (CNNs, RNNs, LSTMs, GANs) for disaster response..

- Work with AI researchers to optimize deep learning architectures..

- Utilize TensorFlow, PyTorch, and cloud-based deep learning frameworks..

- Improve model efficiency and real-time inferencing capabilities..

Qualifications & Experience :.

- MCA/BE/BTech.

- 3-5 years of experience in deep learning model development..

- Strong understanding of neural networks, computer vision, and NLP..

Your Role Responsibilities and Duties :

- Develop, implement, and optimize machine learning models for various applications, including predictive safety, content personalization, search, virtual assistant, time series forecasting, and clustering.

- Utilize a wide array of state-of-the-art machine learning and deep learning technologies to address diverse machine learning problems such as multilingual text classification, language modelling, and multi-modal learning.

- Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions.

- Conduct thorough exploratory data analysis to uncover patterns, trends, and valuable insights.

- Deploy machine learning models into production environments using AWS services and implement scalable and efficient solutions for real-time and batch predictions.

Required Skills and Qualifications :

- Bachelor's degree in computer science, Engineering, Statistics, or a related field.

- 3-5 years of working experience in at least one of the advanced machine learning areas including computer graphics, reinforcement learning, recommendation system, and natural language processing.

- Proficiency in the Python programming language and experience with PyTorch, TensorFlow, or similar frameworks.

- Experience in designing and implementing machine learning-based solutions that ideally include online safety, voice-activated conversational systems, recommender systems, search engines, personalization, time series forecasting, and A/B testing.

- Strong machine learning, statistical and analytical skills.