AIML Engineer
4 days ago
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. 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
- 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
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