Artificial Intelligence Engineer

4 weeks ago

Hyderabad, Telangana, India LeadSoc Technologies Pvt Ltd Full time
We LEADSOC Technologies are into Design services focusing on VLSI and Embedded systems. We offer Product engineering and design services to various clients in India and globally across Automotive Systems, Consumer Electronics, Telecommunications systems, Semiconductors market, and Healthcare industry segments.
Please refer to the links below for more details about the organization.

LEADSOC Homepage

Who we are

Detailed Job Description:

Job Role: AI System Architect – Large Models & Deep Neural Networks

Experience: 2-5 Years
Location: Hyderabad, Telengana
Domain: Artificial Intelligence (AI)

Job Summary:

We are seeking an experienced AI System Architect with expertise in Large Models & Deep Neural Networks, LLM (Large Language Models), and system architecture. The ideal candidate should have a deep understanding of AI model development, deployment, and optimization, along with experience in embedded systems. This role involves designing, implementing, and scaling AI-driven solutions while collaborating with cross-functional teams to develop next-generation AI technologies.

Key Responsibilities:

Design, train, and fine-tune Large Models and Deep Neural Networks for various AI applications.
Develop and implement LLM architectures to solve complex problems in NLP, CV, and other AI domains.
Optimize AI models for performance, scalability, and efficiency across diverse computing environments.
Research and apply the latest advancements in deep learning, reinforcement learning, and AI model compression techniques.
Architect end-to-end AI systems, ensuring seamless integration of hardware and software components.
Design AI pipelines for training and continuous model improvement.
Optimize data pipelines for high-throughput AI workloads.
Collaborate with DevOps and MLOps teams to deploy AI models efficiently on cloud and edge environments.
Work with cutting-edge technologies in embedded systems for AI/ML integration.
Optimize AI algorithms for deployment on embedded and edge devices.
Ensure real-time processing capabilities while maintaining low latency and power efficiency.
Develop custom AI accelerators or leverage existing hardware architectures for performance enhancement.
Collaborate with data scientists, ML engineers, and software developers to deliver production-ready AI solutions.
Engage with stakeholders to understand business needs and translate them into AI-driven solutions.
Stay updated with the latest advancements in AI, deep learning, and system architecture, and apply them to improve existing AI models and systems.
Publish research papers, contribute to open-source projects, or present findings at AI conferences.

Required Skills & Qualifications:

Hands-on experience in training and deploying large-scale AI models.
Proficiency in designing, training, and fine-tuning large language models (LLMs) for NLP tasks.
Experience in architecting AI-driven systems, including cloud and edge deployments.
Familiarity with Memory/Storage or any embedded platform for AI/ML applications.
Expertise in Python, TensorFlow, PyTorch, and other AI/ML frameworks.
Experience with GPUs, TPUs, FPGAs, and AI accelerators for optimizing AI workloads.
Familiarity with cloud platforms (AWS, Azure, GCP) and edge AI deployment strategies.
Understanding of data pipelines, model deployment, and AI lifecycle management.

Preferred Qualifications:

B. Tech/B.E in Computer Science, Artificial Intelligence, or a related field
Experience with federated learning, distributed training, or multi-modal AI models.
Knowledge of AI security, ethical AI, and explainability techniques.
Contributions to AI research, patents, or open-source AI projects.

This role offers the opportunity to work on cutting-edge AI technologies and shape the future of AI-driven solutions. If you are passionate about AI system architecture, large-scale AI models, and embedded AI applications, we encourage you to apply.

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