AI-ML Solution Architect

5 days ago

Bengaluru, Karnataka, India Infosys Full time ₹ 12,00,000 - ₹ 36,00,000 per year

IT Consulting

Preferred Skills:
• Experience in MLOps practices and tools.
• Proven track record of leading technical teams and projects.
• Strong problem-solving skills and attention to detail. Qualifications:
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Proven experience in technology or solution architecture, with a focus on data engineering, AI-ML and GenAI based solutions.
• Strong leadership and communication skills.
• Ability to develop value-creating strategies and models that enable clients to innovate, drive growth and increase their business profitability
• Good knowledge on software configuration management systems
• Awareness of latest technologies and Industry trends
• Logical thinking and problem solving skills along with an ability to collaborate
• Understanding of the financial processes for various types of projects and the various pricing models available
• Ability to assess the current processes, identify improvement areas and suggest the technology solutions
• One or two industry domain knowledge
• Client Interfacing skills
• Project and Team management Key Responsibilities:
• Data collection, profiling, EDA & data preparation
• AI Model development, tuning & validation
• Visualization tools (e.g., PowerBI, tableau)
• Present findings to business users & project management teams
• Propose ML based solution approaches and estimates for new use cases
• Experience in ML algorithms, NLP, GenAI based solutions
• Supervised, Unsupervised, Reinforcement learning
• Collaborate with data scientists and engineers to support ML model training, evaluation, and deployment.
• Strong knowledge of Knowledge of AI services from cloud platforms Azure/AWS/GCP
• Apply advanced MLOps practices to streamline model deployment, monitoring, and lifecycle management. Required Skills:
• Proficiency in Python for data processing, automation tasks, and model development.
• Strong understanding of ML model training, evaluation, and deployment.
• Proficiency in GenAI based solution development.
• Strong knowledge of Knowledge of AI services from cloud platforms Azure/AWS/GCP.
• Experience in python-based web application for AI-ML use cases

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