Senior AI/ML Engineer

Primary Responsibilities:

1. Design, develop, and deploy scalable AI/ML models to solve complex business challenges
2. Lead end-to-end ML workflows, including data preprocessing, model training, hyperparameter tuning, and deployment
3. Apply classical machine learning techniques (e.g., boosting, ensemble methods) and modern deep learning frameworks (e.g., PyTorch, TensorFlow) to deliver innovative solutions
4. Work with large datasets using tools such as PySpark, Databricks, Pandas, and Numpy to enable data-driven decision-making
5. Develop and fine-tune Generative AI and large language models (LLMs) using tools like Hugging Face, LangChain, and similar frameworks
6. Collaborate with cross-functional teams to integrate AI/ML solutions with existing systems and applications
7. Leverage cloud platforms like Azure AI, Azure ML, Google Cloud Platform, and OpenAI to build and deploy AI/ML models at scale
8. Utilize ML lifecycle management tools (e.g., MLflow) to track and monitor model performance
9. Conduct thorough data analysis using SQL to derive actionable insights and optimize model performance
10. Explore and implement conversational AI systems (e.g., Dialogflow, Vertex AI) to enhance user interactions
11. Stay up-to-date with the latest advancements in AI/ML technologies and recommend their adoption where relevant
12. Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regard to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

Required Qualifications:

1. Bacherlor’s or Master’s in Computer Science, Data Science, Machine Learning, or a related field
2. Skill/Experience:
3. 5+ years overall hands-on AI/ML project development using Python programming
4. 5+ years deep learning using PyTorch
5. 5+ years classical machine learning (e.g., sklearn, boosting, NLP)
6. 5+ years data analysis using SQL
7. 2+ years working with large datasets using PySpark, Databricks, Pandas, Numpy, etc.
8. 2+ years experience with Transformers, Hugging Face, LLMs, Generative AI, LangChain
9. 2+ years proficiency with Azure AI, Azure ML, OpenAI
10. 2+ years ML model deployment (e.g., MLflow, Databricks, Azure)
11. 1+ years healthcare domain and system knowledge
12. 1+ years familiarity with Google Cloud Platform (e.g., Dialogflow, Vertex AI)
13. Experience in the healthcare domain, including working with clinical or patient datasets
14. Hands-on experience with Generative AI applications and building conversational agents
15. Solid understanding of data engineering principles, including ETL pipelines and data workflows
16. Proven ability to handle unstructured datasets, such as text, images, and audio
17. Proven excellent problem-solving and critical-thinking skills
18. Solid communication skills and the ability to collaborate with cross-functional stakeholders
19. AI Scientist
20. Design and develop foundational AI models and core components that power the organization’s AI ecosystem, enabling scalable, reusable intelligence across products and services. Optimize infrastructure including model architecture, training pipelines, and deployment framework to ensure high performance and reliability
21. Collaborate with research, engineering, and product teams to translate cutting-edge AI advancements into production-ready capabilities. Upload ethical AI principals by embedding fairness, transparency, and accountability throughout the model developmental life cycle