Technical Architect Cloud (Gen AI, Python, SQL)
- Bangalore, Karnataka
- Permanent
- Full-time
- We are seeking a highly skilled AI/Prompt Engineer to design, implement, and maintain artificial intelligence (AI) and machine learning (ML) solutions for our organization.
- The ideal candidate will have a deep understanding of AI and ML technologies, as well as experience with data analysis, software development, and cloud computing.
- Software: Python, R, JavaScript. GIT, Rest API, OAuth.
- Application Architecture: Scalable, Resilient, event driven, secure multi-tenant Microservices architecture
- Cloud Architecture: MS Azure (ARM templates, AKS, HD insight, Application gateway, Virtue Networks, Event Hub, Azure AD)
- Data Science Tools: Pandas, NumPy, Scikit-learn, TensorFlow, Keras, NLP
- Databases: SQL
- Design and implement AI/ conversational AI solutions and ML solutions to solve business problems and to improve customer experience and operational efficiency.
- Develop and maintain machine learning models using tools such as TensorFlow, Keras, and PyTorch
- Collaborate with cross-functional teams to identify opportunities for AI and ML solutions and develop prototypes and proof-of-concepts.
- Develop and maintain data pipelines and ETL processes to support AI and ML workflows.
- Monitor and optimize model performance, accuracy, and scalability
- Stay up to date with emerging AI and ML technologies and evaluate their potential impact on our organization.
- Develop and maintain technical documentation, including architecture diagrams, design documents, and standard operating procedures
- Provide technical guidance and mentorship to other members of the data engineering and software development teams.
- Develop and maintain chatbots and voice assistants using tools such as Dialogflow, Amazon Lex, and Microsoft Bot Framework
- Develop and maintain integrations with third-party systems and APIs to support conversational AI workflows.
- Develop and maintain technical documentation, including architecture diagrams, design documents, and standard operating procedures.
- Provide technical guidance and mentorship to other team members.
- Bachelor’s degree in computer science, Information Technology, or a related field with 8+ years of experience in conversational AI engineering, design, and implementation
- Strong understanding of NLP technologies, including intent recognition, entity extraction, and sentiment analysis
- Experience with software development, including proficiency in Python and familiarity with software development best practices and tools (Git, Agile methodologies, etc.)
- Familiarity with cloud computing platforms (AWS, Azure, Google Cloud) and related services (S3, EC2, Lambda, etc.)
- Experience with big data technologies (Hadoop, Spark, etc.)
- Experience with containerization (Docker, Kubernetes)
- Experience with data visualization tools (Tableau, Power BI, etc.)
- Experience with reinforcement learning and/or generative models.
- Experience with machine learning technologies and frameworks (TensorFlow, Keras, etc.)
- Experience with big data technologies (Hadoop, Spark, etc.)
- Strong communication and collaboration skills
- Strong attention to detail and ability to prioritize tasks effectively.
- Strong problem-solving and analytical skills
- Ability to work independently and as part of a team.
- Strong attention to detail and ability to prioritize tasks effectively.
- Experience working with cloud platforms like AWS, Google Cloud, or Azure.
- Knowledge of big data technologies such as Apache Spark, Hadoop, or Kafka is a plus.
- Strong problem-solving and analytical skills.
- Ability to work in an agile and fast-paced development environment.