Address- Designing, developing, and researching Machine Learning systems, models, and schemes through data science and data analytics prototypes.
- Understanding of Natural Language Processing (NLP), Natural Language Understanding (NLU) and Natural Language Generation (NLG)
- Develop and implement technical efforts to design, build, and deploy AWS ML models at the direction of Lead Architects, including large-scale data processing, computationally intensive statistical modeling, and advanced analytics.
- Familiarity with deep learning, machine learning and NLP/NLG frameworks (like Keras, TensorFlow or PyTorch etc.), HuggingFace Transformers and libraries (like scikit-learn, spacy, gensim, CoreNLP etc.)
- Should have experience in AWS services such as SageMaker, Elasticsearch, and general knowledge of AWS architecture & other services
- Ability to write robust code in Python, Java and R
- Experience optimizing model hyperparameter tuning for speed and cost
- Experience in building MLOps pipeline using MLOps frameworks like Kubeflow, MLFlow, and DataRobot
- Experience with Docker and Kubernetes
- Familiarity with Eventbridge and AWS step function for workload orchestration
- Experience with Agile Development.
- Good experience in process improvement/change management methods
- Knowledge of various aspects of an enterprise technology architecture like business, information, data, network, and security
- Understanding and knowledge of system development life cycle methodologies (such as waterfall, agile software development, rapid prototyping, and DevOps)
- Understanding and knowledge of IT service management (ITSM) and Information Technology Infrastructure Library (ITIL)
- Excellent analytical, planning, organizational and technical and skills
- Skilled at influencing, guiding, and facilitating stakeholders and peers with decision making
- Ability to articulate new ideas and concepts to technical and nontechnical audiences
- Ability to understand the long-term ("big picture") and short-term perspectives of situations
