Key Responsibilities
Designing technology systems: Plan and design the structure of technology solutions, and work with design and development teams to assist with the process.
Communicating: Communicate system requirements to software development teams, and explain plans to developers and designers. They also communicate the value of a solution to stakeholders and clients.
Managing Stakeholders: Work with clients and stakeholders to understand their vision for the systems. Should also manage stakeholder expectations.
Architectural Oversight: Develop and implement robust architectures for AI/ML and data science solutions, ensuring scalability, security, and performance. Oversee architecture for data-driven web applications and data science projects, providing guidance on best practices in data processing, model deployment, and end-to-end workflows.
Problem Solving: Identify and troubleshoot technical problems in existing or recent systems. Assist with solving technical problems when they arise.
Ensuring Quality:



Ensure if systems meet security and quality standards. Monitor systems to ensure they meet both user needs and business goals.
Project management: Break down project requirements into manageable pieces of work, and organise the workloads of technical teams.
Tool & Framework Expertise: Utilise relevant tools and technologies, including but not limited to LLMs, TensorFlow, PyTorch, Apache Spark, cloud platforms (AWS, Azure, GCP), Web App development frameworks and DevOps practices.
Continuous Improvement: Stay current on emerging technologies and methods in AI, ML, data science, and web applications, bringing insights back to the team to foster continuous improvement.

Technical Skills
Proficiency in AI/ML frameworks such as TensorFlow, PyTorch, Keras, and scikit-learn for developing machine learning and deep learning models.
Knowledge or experience working with self-hosted or managed LLMs.
Knowledge or experience w

📌 Technical Architect Thiruvananthapuram
🏢 Smarthms Solutions
📍 Thiruvananthapuram