AI / ML Associate Architect

• AI/ML Associate ArchitectBasic Responsibilities (Must-Haves): Assist the AI Architect in developing and maintaining technical solutions for clients, leveraging expertise in
• MLOPS (Machine Learning Operations): design, implement, and manage end-to-end machine learning workflows
• Model Development: build, train, and deploy classification models to predict categorical outcomes
• Regression Models: develop and fine-tune regression models for prediction of continuous variables
• Generative AI (GEN AI): design and implement generative AI models, such as text or image generators
• Large Language Models (LLMs): fine-tune pre-trained LLMs for downstream tasks, such as classification, question answering, or language translation
• Hyperparameter Tuning: optimize model hyperparameters to improve performance and efficiency
• Provide input on presales activities, including RFP responses and sales proposals
• Collaborate with development teams to design and implement AI-powered solutions for clients

Preferred Responsibilities (Nice-to-Haves): Participate in the design and implementation of AI-powered solutions for clients

• Develop and maintain technical documentation, including architecture diagrams and solution designs
• Collaborate with sales teams to identify new business opportunities and develop go-to-market strategies
• Provide training and support to internal stakeholders on AI technologies and solutions
• Certification in a specific AI technology, such as TensorFlow or Py-Torch
• Experience working with large datasets and data processing tools, such as Spark or Hadoop
• Familiarity with Agile development methodologies and version control systems, such as Git
• Strong communication and collaboration skills, with the ability to work effectively in a team environment
• Any Other Responsibilities: Participate in the development of proof-of-concepts (POCs) and pilot projects to demonstrate AI-powered solutions Collaborate with data science teams to design and implement machine learning models and algorithms

Key Responsibilities:

• Presales Support: Provide input on presales activities, including RFP responses and sales proposals
• Solution Design: Collaborate with development teams to design and implement AI-powered solutions for clients
• Technical Documentation: Develop and maintain technical documentation, including architecture diagrams and solution designs

Requirements

• Bachelors or masters degree in computer science, Data Science, or related field
• 3-5 years of experience in a similar role, with a strong focus on AI technologies
• Overall 8 to 10 years of IT experience
• Proficiency in Python for data processing and machine learning tasks
• Strong understanding of AI technologies, including machine learning, NLP, computer vision, and large language models
• Experience working with cloud platforms, such as AWS or Google Cloud