Data Scientist

AI And Machine Learning Specialist

Experience Required - 8+ Years

We are on the lookout for a specialist in the realm of Artificial Intelligence (AI) and Machine Learning (ML), specializing in Natural Language Processing (NLP), Generative AI and other advanced AI technologies.

Must Have Technical/Functional Skills

We are on the lookout for a specialist in the realm of Artificial Intelligence (AI) and Machine Learning (ML), specializing in Natural Language Processing (NLP), Generative AI and other advanced AI technologies.

• Two key requirements for the role:
• Coding Capability
• General DS foundations, best to have LLM/GenAI/Agent application building experience

Extensive experience in building and delivering sophisticated solutions that leverage various AI solutions, machine learning algorithms or technologies and are able to scale optimally.

• Expert in at least one of the following fields:
• Generative AI
• Machine Learning
• Deep Learning
• Speech Recognition
• Multimodal LLMs
• Reinforcement Learning
• Natural Language Processing
• Optimization
• Probabilistic Inference
• Information Retrieval
• Recommendation Systems
• Bayesian Inference
• Advanced time series forecasting

Hands-on Experience with most of the following open-source solutions:

• Orchestrate: Airflow, Kubeflow Pipelines, ML Run
• Container: Docker, Kubernetes, Mesos + Marathon
• Model Serving: Kubeflow KF Serving, TF Serving, Seldon-Core, MLflow
• Observability: Prometheus, Grafana, Elasticsearch

Development:

• Programming Language: Python, Java, Scala, Julia
• IDE: Notebooks, PyCharm, VS Studio
• Machine Learning: TensorFlow, Keras, ScikitLearn, H20.ai, XGBoost, MXNet
• Feature Store: Hopsworks, Feast, or other purposed built Feature Store
• Model Format: ONNX, PMML

Solid understanding of agile project management principles, with experience leading teams and managing projects in a fast-paced environment.

Excellent communication and leadership skills, with the ability to collaborate effectively with both technical and non-technical teams.

Strong problem-solving abilities, with a creative and analytical approach to tackling challenges and driving results.

Hands-on Experience with GCP and/or AWS is a plus.

Roles & Responsibilities

• Combine AI/ML and Technology knowledge to implement highly scalable solutions to solve real-world problems in areas such as Generative AI, Personalization, Image Recognition, Speech Recognition, Natural Language Processing, Best Next Action, and Time Series predictions
• Build solutions from identifying business problems, to collecting training dataset, to analyzing data, to modeling, to validating and to delivering production grade solutions at scale.
• Research latest related academic papers and test nascent ideas which can potentially solve new business problems and enhance existing solutions.
• Responsible for developing and defining deployment strategies for production quality AI solutions in Cloud infrastructure at scale
• Drive both high-level and detailed technical designs and conduct design reviews as needed
• Responsible for health and quality of the code across the portfolio, including leadership over innovation, functional testing, and CI/CD tool integration
• Provide technical mentorship to team members at junior levels
• Actively participate in business and technical discussions and forums