
Strategic AI Solutions Developer
2 days ago
We are seeking a highly skilled Senior Data Scientist to drive the development of our AI initiatives. This role will play a key part in designing and leading the development of various artificial intelligence projects to improve health and wellness outcomes for patients.
This is an exciting opportunity to work with a talented team of engineers and data scientists to transform complex challenges into innovative solutions. You'll have the chance to leverage your skills in Python, deep learning frameworks like PyTorch and Hugging Face transformers, and machine learning platforms like Databricks and Sagemaker.
Key Responsibilities:
- Design and lead the development of AI initiatives to improve health and wellness outcomes
- Collaborate with business leaders and customers to understand pain-points and build large-scale solutions
- Define technical architecture to productize Innovaccer's machine-learning algorithms and take them to market
- Break down complex business problems into machine learning problems and design solution workflows
- Work with our data platform and applications team to integrate data science capabilities or algorithms in their products/workflows
- Stay updated on advancements in AI/ML technologies and apply them to enhance existing systems
Requirements:
- Masters in Computer Science, Computer Engineering, or other relevant fields (PhD preferred)
- 3+ years of experience in Data Science (healthcare experience a plus)
- Strong hands-on experience in Python - building enterprise applications
- Deep experience in classical and new age NLP techniques - must have trained or fine-tuned a transformer architecture
- Understanding of new-age fine LLM tuning techniques like PEFT (experience with LoRA and QLoRA preferred)
- Experience with GenAI tools and techniques including but not limited to RAG, VectorDBs, Agentic AI fundamentals
- Proficiency in at least one of the following - LangChain, Crew.AI
- Hands-on experience with deep learning frameworks - PyTorch, Hugging Face transformers
- Hands-on experience with at least one ML platform - Databricks, Azure ML, Sagemaker
- Good to have: Hands-on experience in API frameworks leveraging their capabilities for developing robust web applications (FastAPI preferred)
- Good to have: Comfortable with AWS cloud technologies
Benefits:
- Opportunity to work with cutting-edge technologies and contribute to the development of AI solutions
- Chance to collaborate with a talented team of engineers and data scientists
- Professional growth and development opportunities
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