Application Architect AI/ML, Gen AI, and Cloud
Job Summary:
In the role of an Application Architect specializing in AI/ML, designing and building resilient, scalable, and inventive solutions using artificial intelligence, machine learning, and generative AI capabilities is essential. Collaborating closely with cross-functional teams involves grasping business needs, pinpointing AI/ML integration prospects, and architecting cloud platform-utilizing designs. Familiarity with SAP systems is beneficial but not obligatory.
Key Responsibilities:
- Collaborate across teams to leverage AI/ML and Generative AI in enhancing the efficacy and streamlining of technology and business processes.
- Design end-to-end architectures for AI/ML-and Gen AI driven applications, ensuring scalability, reliability, and performance.
- Evaluate and select appropriate AI/ML frameworks, tools, and technologies based on project requirements.
- Architect cloud-native solutions and leverage cloud services for deploying and managing AI/ML models.
- Provide technical leadership and guidance to development teams throughout the implementation process.
- Stay updated on emerging trends and best practices in AI/ML, cloud computing, and related technologies.
Technical Skills:
- Proficiency in Python for AI/ML development.
- Experience with TensorFlow, PyTorch, scikit-learn.
- Knowledge of NLP libraries like NLTK, spaCy.
- Deep learning expertise (CNNs, RNNs, transformers).
- Cloud platform experience (AWS, Azure, GCP).
- Understanding of big data technologies (Hadoop, Spark).
- Familiarity with cloud-based data platforms (Snowflake, ADF, BigQuery, Databricks).
- Proficiency in Docker and Kubernetes.
- Knowledge of DevOps practices.
- Data engineering skills (ETL processes).
- Familiarity with NLP APIs (OpenAI, Google Cloud NLP).
- Knowledge on Flask, Waitress, Fast-API.
- Understanding of Authorization and Authentication like Oauth2.0, JWT, SSO.
- UI framework experience in Streamlit, Session Handling.
- Experience with Vector DB and No-SQL DB – PostgreSQL, MongoDB, Chroma DB
- RAG, Prompt Engineering with OpenAI, Gemini, Mistral AI
- Community exposure on Medium, Kaggle, Hugging face.
- Understanding of cybersecurity principles.
Qualifications and Skills:
- Bachelor’s or master’s degree in computer science, engineering, or a related field.
- Proven experience as an Application Architect, Solution Architect, or similar role with a focus on AI/ML.
- Strong understanding of AI/ML concepts, algorithms, and techniques, with hands-on experience in model development and deployment.
- Experience with cloud platforms such as AWS, Azure, or Google Cloud, including proficiency in cloud-native architecture principles and services.
- Familiarity with SAP systems is a plus but not required.
- Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.
- Strong problem-solving abilities and a proactive mindset towards innovation and continuous improvement.
#EAG-Technology
#DTSolutions
#CA-NRP
Recruiting tips
Benefits
At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you.
Our people and culture
Our purpose
Professional development