The company is looking to develop and implement AI/ML/GenAI solutions, specifically focusing on information retrieval, natural language processing, and predictive modeling, leveraging cloud platforms like AWS and advanced techniques such as RAG and agentic frameworks.
Requirements
- Complete Hands on Experience in Python programming, along with experience with popular AI/ML frameworks such as Tensorflow, Pytorch, scikit-learn, Langchain and llamaindex.
- Hands on experience in developing AI/ML/GenAI solutions using AWS services such as Sagemaker.
- Experience with search algorithms , indexing techniques, summarization and retrieval models for effective information retrieval tasks.
- Hands on Experience with RAG architecture and its applications in natural language processing tasks.
- Expertise in data engineering such as preprocessing and cleaning large datasets efficiently using python, pyspark, and other manipulation tools like Pandas and NumPy. Experience with techniques such as data normalization, feature engineering and data generation.
- Experience with cloud computing principles and experience in deploying, scaling and monitoring AI/ML/GenAI solutions on cloud platforms like AWS.
- Hands on experience using python and APIs like flask/Django/fastAPI
Responsibilities
- Complete Hands on Experience in Python programming, along with experience with popular AI/ML frameworks such as Tensorflow, Pytorch, scikit-learn, Langchain and llamaindex.
- Strong background in Machine learning models building and implementation.
- Hands on experience in developing AI/ML/GenAI solutions using AWS services such as Sagemaker.
- Experience with search algorithms , indexing techniques, summarization and retrieval models for effective information retrieval tasks.
- Hands on Experience with RAG architecture and its applications in natural language processing tasks.
- Hands on Experience in End to End development of machine learning and deep learning techniques, like predictive modeling, applied machine learning, natural language processing.
- Deploy and monitor ML solutions using AWS services such as Lambda, API gateway, and ECS and monitor their performance using CloudWatch.
Other
- A Masters Degree in Computer science and Engineering
- Minimum of 14 years of IT experience.
- Minimum of 7 experience as an ML engineer / data Scientist.
- Able to communicate complex technical; concepts effectively to technical and non-technical stakeholders and collaborate with cross-functional teams.
- Hands on experience with semi structured and unstructured data.
