We are looking for an experienced Machine Learning Engineer/Data Scientist to join our AI Services team of talented technologists/Data Scientists. The successful candidate will have a passion for data, ML, Software Development with an emphasis on understanding the data landscape in large and complex organizations.

As a Senior Data Scientist, you will be intricately involved in analysing business problems, experimenting with state-of-the-art models, and developing machine learning and deep learning solutions. You will leverage your knowledge of ML toolkit and algorithms to deliver the appropriate solution. You will be a part of an innovative team and work with our product owners, data engineers and software engineers to build new systems.

Job Responsibilities

• Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks such as NLP, personalization, or recommendation systems
• Collaborate with business, operations, and other technology colleagues to understand AI needs and devise possible solutions
• Develop end-to-end ML/AutoML/AutoNLP pipelines and operationalize the end-to-end orchestration of the ML models to support the various use cases like Document Q&A, Search, Information Retrieval, classification, personalization, etc.
• Build both batch and real-time model prediction pipelines with existing application and front-end integrations. 
• You will collaborate to develop large-scale data modeling experiments, Explain complex concepts to senior funders and stakeholders
• Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into production
• Work with product owners and software engineers to productionize the models
• Partners closely with business partners to identify impactful projects, influence key decisions with data, and ensure client satisfaction

Required Qualifications, capabilities and skills

• BS or MS or PhD in Computer Science or Data Science or Statistics or Mathematical sciences or Machine Learning
• At least 4-5 years’ experience in one of the programming languages like Python, Java, C/C , etc. Preferably Python. At least 5 years’ experience in applying data science, ML techniques to solve business problems.
• Solid background in NLP, Generative AI and hands-on experience and solid understanding of machine learning and deep learning methods and familiar with large language models
• Extensive experience with machine learning and deep learning toolkits (e.g.: Transformers, Hugging Face, TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas)
• Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals
• Experience with big data and scalable model training and solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences.
• Scientific thinking with the ability to invent and to work both independently and in highly collaborative team environments
• Experience with building and deploying ML models on AWS esp. using AWS tools like Sagemaker, EC2, Glue, etc.
• Have good understanding about the Active Learning, Agent/Multi Agent Learning, Learning from Supervision/Feedback, etc.
• Ability to work on tasks and projects through to completion with limited supervision 
• Excellent communication skills and team player

Preferred Qualifications, capabilities and skills

• Strong background in Mathematics and Statistics
• Experience with A/B experimentation and data/metric-driven product development
• Published research in areas of Machine Learning, Deep Learning or Reinforcement Learning at a major conference or journal
• Ability to develop and debug production-quality code
• Familiarity with continuous integration models and unit test development
• Experience with LLMs and Prompt Engineering techniques.