About Job/Role

Seeking a highly experienced and innovative AI Software Developer with 10-15 years of hands-on experience in designing, developing, and deploying AI-driven solutions.
Strong background in Python, AI/ML, automation frameworks, and cloud platforms (AWS, Azure, or GCP).
Solid understanding of networking, data analysis, and debugging.
Experience working with AI models and platforms such as OpenAI, Azure AI, Grok, and building real-world AI use cases like Chatbots, MCP, and AI-powered mobile apps.

Roles and Responsibilities

Architect, develop, and deploy scalable AI/ML solutions for enterprise-grade applications.
Perform advanced data analysis to support model training and business insights.
Design and implement AI use cases such as Chatbots, MCP, and AI-powered mobile applications.
Integrate AI solutions with cloud platforms (AWS, Azure, GCP) for deployment and scalability.
Collaborate with cross-functional teams including Leaders, DevOps, and product managers.
Evaluate and experiment with different AI models and APIs (e.g., OpenAI, Azure AI, Grok).
Develop and integrate frontend and backend applications to support AI systems.
Ensure robust networking and data flow between distributed systems and services.
Apply strong debugging skills to troubleshoot and optimize AI systems.
Build and maintain automation frameworks to support AI workflows and testing.
Stay up to date with the latest trends and advancements in AI/ML and cloud technologies.

Required Qualification

Bachelor of Engineering (B.E) or Master of Engineering (M.E) in Computer Science, Information Technology, Artificial Intelligence, or related fields.

Experience

Skills

Programming: Expert in Python and related AI/ML libraries (TensorFlow, PyTorch, scikit-learn). Knowledge of NodeJS, FastAPI, Ruby is a plus.
AI/ML: Proven experience in building, training, and deploying machine learning models.
Automation: Strong experience in developing and maintaining automation frameworks.
Data Analysis: Proficient in data wrangling, visualization, and statistical analysis.
Cloud Platforms: Hands-on experience with AWS, Azure, or GCP.
Networking: Solid understanding of networking concepts and protocols.
AI Tools & Models: Experience with OpenAI, Azure AI, Grok, and other modern AI platforms.
Use Case Development: Experience in developing AI use cases like Chatbots, MCP, and mobile apps.
Application Development: Knowledge of building frontend and backend applications.
Debugging: Strong debugging and troubleshooting skills.
Domain Expertise: Familiarity with WLAN, Wired Networking, Video Processing, and Image Analysis.
Preferred: Experience with containerization and orchestration tools (Docker, Kubernetes), MLOps practices, contributions to open-source AI projects or research, strong problem-solving and communication skills.

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