7 DoelSoft IT Services Jobs

Role Description:

This is a full-time on-site opportunity in Hyderabad for a highly skilled and passionate C++, Generative AI, and Deep Learning Specialist with 4+ years of hands-on experience.

In this critical role, you will be at the forefront of designing, developing, and optimizing advanced software applications, with a primary focus on the implementation and enhancement of cutting-edge Generative AI models and Deep Learning algorithms using C++.

Your daily responsibilities will encompass hands-on coding in C++, rigorous testing and debugging, and seamless collaboration with cross-functional teams to develop and refine our innovative AI-powered solutions.

You will also be expected to remain current with the latest breakthroughs in AI and Deep Learning, proactively applying this knowledge to our ongoing projects and contributing to our technological leadership.

Responsibilities :

- Design, develop, and implement high-performance software applications and libraries primarily using C++.

- Write clean, efficient, well-documented, and maintainable C++ code that adheres to industry best practices and coding standards.

- Optimize C++ code for speed, efficiency, and scalability, with a particular focus on the demands of computationally intensive AI and machine learning tasks.

- Actively participate in the architectural design and planning of AI-driven software solutions.

- Implement, integrate, and fine-tune a variety of Generative AI models (e.g., Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), Diffusion Models, Transformer architectures) for applications such as image synthesis, text generation, data augmentation, and other creative AI endeavors.

- Optimize the performance and efficiency of Generative AI models for specific use cases and resource constraints.

- Conduct experiments with different model architectures, training methodologies, and hyperparameter tuning to achieve desired outcomes and push the boundaries of generative capabilities.

- Design, develop, and implement Deep Learning algorithms for tasks including computer vision, natural language processing, time series analysis, and predictive modeling.

- Work with various neural network architectures (e.g., Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Transformers) and optimize them for accuracy, speed, and resource utilization.

- Implement custom layers, activation functions, loss functions, and training regimes as required by specific project needs.

- Leverage and master industry-leading machine learning frameworks such as TensorFlow and/or PyTorch for the development, training, and evaluation of AI and Deep Learning models.

- Develop efficient and scalable data pipelines for model training, validation, and deployment within these frameworks.

- Utilize hardware acceleration (e.g., GPUs) and distributed computing techniques to optimize the training and inference of complex AI/ML models.

- Work with large and complex datasets, performing crucial data cleaning, preprocessing, feature engineering, and data augmentation techniques essential for training robust and effective AI/ML models.

- Implement efficient data loading, storage, and management strategies tailored for AI/ML workflows.

- Collaborate effectively and seamlessly with data scientists, machine learning engineers, and other software development team members to integrate AI/ML models into larger software systems and product offerings.

- Design and implement robust APIs and interfaces for the deployment and accessibility of trained AI/ML models.

- Develop and execute comprehensive unit tests and integration tests for both the core C++ codebase and the implemented AI/ML models to ensure functionality, performance, and reliability.

- Employ advanced debugging techniques to identify and resolve complex issues related to software performance, model accuracy, and system integration.

- Stay at the forefront of the rapidly evolving fields of Generative AI, Deep Learning, and related technologies by actively engaging with the latest research papers, industry publications, and open-source developments.

- Evaluate and experiment with novel algorithms, techniques, and tools for potential integration into ongoing and future projects.

- Contribute to internal research and development initiatives aimed at pushing the boundaries of our AI capabilities.

- Create and maintain clear, concise, and comprehensive technical documentation encompassing software designs, algorithmic details, implementation specifics, and best practices.

- Actively participate in knowledge-sharing sessions and contribute to building a strong AI/ML expertise within the team.

Qualifications :

- Deep proficiency in the C++ programming language, including a strong understanding of object-oriented principles, advanced memory management techniques, and optimization strategies for high-performance computing.

- Demonstrated hands-on experience in the end-to-end lifecycle of Generative AI and Deep Learning projects, including model selection, implementation, training, fine-tuning, and evaluation.

- A strong theoretical and practical understanding of fundamental data structures and algorithms and their critical role in developing efficient and scalable software solutions.

- Significant hands-on experience working with at least one major deep learning framework such as TensorFlow or PyTorch, including the ability to build, train, and deploy complex models.

- Outstanding analytical and problem-solving abilities, with a proven track record of tackling complex technical challenges and devising effective solutions.

- Proven ability to work effectively and collaboratively within a multidisciplinary team, contributing positively to a dynamic and innovative environment.

- A Master's or Ph.D. degree in Computer Science, Engineering, Mathematics, Artificial Intelligence, or a closely related field is strongly preferred, indicating a deep theoretical understanding of the domain.

- Significant Experience in AI and Machine Learning Software Development: Substantial experience in the complete software development lifecycle for AI and machine learning applications, from requirements gathering to deployment and maintenance.