AI Developer | Quality Engineering

## Full Description About The Role As an AI Automation Engineer, you will be involved in Python-based automation initiatives including Framework development using various GenAI / LLM / MLE services. More specifically, you will work on: Designing Frameworks, developing Proof of concepts and accelerators, and executing effectively/independently. Designing and implementing Python utilities to enhance productivity for Enterprise Products with GenAI / LLM / MLE intervention. Build simplified interfaces as part of framework design in order to facilitate features that are easy to maintain, easy to enhance, high reusability, and scalability. Taking part in Demos, Planning, etc., with the rest of the team. Collaborating with business consultants, data scientists, engineers, and application stakeholders. Desired Skills And Experience Must have Strong knowledge and experience in Python Programming Language. Must have SQL, RDBMS, GenAI Knowledge. Knowledge of natural language processing (NLP) is a must. Hands-on experience with multiple LLMs like OpenAI, Claude, Gemini, Llama, etc. Ability to independently design, develop, and architect highly available, highly scalable accelerators and frameworks from scratch Proficiency in data manipulation libraries like pandas or numpy for Python and experience with data visualization tools to build analytical models and statistics as required. Knowledge of using hyperscaler products like Hadoop/Spark, Databricks, Snowflake, and AWS EMR Strong Experience in building multiple frameworks using Seaborn, Plotly, PyTorch, TensorFlow, Langchain, Matplotlib, Selenium, Pytest, Appium, Robot, and or related Libraries. Strong knowledge of cloud platforms AWS/Azure/Google Cloud Strong knowledge of CI/CD pipeline (Airflow/Azure DevOps/Jenkins/Github Actions). Good knowledge of RESTful interfaces / Microservice concepts Knowledge of Dockers and Kubernetes or containers is good to have Ability to quickly learn and apply complex technical information to automation solutions. Attention to detail and ability to effectively escalate issues and manage escalations. Experience with Agile methodology Ability to handle multiple assignments at one time and meet delivery dates. Knowledge of project management tools like AzureDevOps/Rally/JIRA is a plus. Additional programming languages like Java, JavaScript or R knowledge is a plus. Excellent written and communication skills. We believe in equal opportunities for all and invite you to come to join us as we build the worlds best AI and advanced analytics team. Our compensation packages are competitive and among the best in the industry. Your designation will be commensurate with expertise and experience. www.tigeranalytics.com Perks of working with Tiger Analytics Latest Technology: You will get to work on the most advanced technologies like machine learning and artificial intelligence. Global Exposure: We work for leading global brands. You will get exposure to global markets while working with international clients. Learning & Development: We partner with a host of the biggest learning platforms. You will be encouraged to learn and grow. Growth Mindset: We encourage a growth mindset and believe that learning never stops. There is no pressure on you to be a master of everything. With this attitude, we can make significant progress in areas that we know very little about today. Here, youll work with people with a collective passion to explore the limitless potential of data to solve complex problems. Remote Working: We choose you and you have the flexibility to choose your work location. Additional Benefits: Health insurance (self & family), virtual wellness platform, fun, and knowledge communities. Desired Skills And Experience Must have Strong knowledge and experience in Python Programming Language. Must have SQL, RDBMS, GenAI Knowledge. Knowledge of natural language processing (NLP) is a must. Hands-on experience with multiple LLMs like OpenAI, Claude, Gemini, Llama, etc. Ability to independently design, develop, and architect highly available, highly scalable accelerators and frameworks from scratch Proficiency in data manipulation libraries like pandas or numpy for Python and experience with data visualization tools to build analytical models and statistics as required. Knowledge of using hyperscaler products like Hadoop/Spark, Databricks, Snowflake, and AWS EMR Strong Experience in building multiple frameworks using Seaborn, Plotly, PyTorch, TensorFlow, Langchain, Matplotlib, Selenium, Pytest, Appium, Robot, and or related Libraries. Strong knowledge of cloud platforms AWS/Azure/Google Cloud Strong knowledge of CI/CD pipeline (Airflow/Azure DevOps/Jenkins/Github Actions). Good knowledge of RESTful interfaces / Microservice concepts Knowledge of Dockers and Kubernetes or containers is good to have Ability to quickly learn and apply complex technical information to automation solutions. Attention to ##