Deep Learning
Machine Learning (ML)
PythonExperience:
- Junior Level: 4+ years
- Senior Level: 8+ years
Work Mode:Remote
About the Role:
We are seeking a highly skilled and motivated Data Scientist with deep expertise in Machine Learning (ML), Deep Learning, and Large Language Models (LLMs) to join our forward-thinking AI & Data Science team. This is a unique opportunity to contribute to real-world impact in the healthcare industry, transforming the way patients and providers interact with health data through Generative AI and NLP-driven solutions.
Key Responsibilities:
- LLM Development & Fine-Tuning:
- Fine-tune and customize LLMs (e.g., GPT, LLaMA2, Mistral) for use cases such as text classification, NER, summarization, Q&A, and sentiment analysis.
- Experience with other transformer-based models (e.g., BERT) is a plus.
- Data Engineering & Pipeline Design:
- Collaborate with data engineering teams to build scalable, high-quality data pipelines for training/fine-tuning LLMs on structured and unstructured healthcare datasets.
- Experimentation & Evaluation:
- Design rigorous model evaluation and testing frameworks (e.g., with tools like TruLens) to assess performance and optimize model outcomes.
- Deployment & MLOps Integration:
- Work closely with MLOps teams to ensure seamless integration of models into production environments on cloud platforms (AWS, Azure, GCP).
- Predictive Modeling in Healthcare:
- Apply ML/LLM techniques to build predictive models for use cases in oncology (e.g., survival analysis, risk prediction, RWE generation).
- Cross-functional Collaboration:
- Engage with domain experts, product managers, and clinical teams to translate healthcare challenges into actionable AI solutions.
- Mentorship & Knowledge Sharing:
- Mentor junior team members and contribute to the growth of the team’s technical expertise.
Qualifications:
- Master’s or Doctoral degree in Computer Science, Data Science, Artificial Intelligence, or related field.
- 5+ years of hands-on experience in machine learning and deep learning, with at least 12 months of direct work on LLMs.
- Strong coding skills in Python, with experience in libraries like HuggingFace Transformers, spaCy, NLTK, TensorFlow, or PyTorch.
- Experience with prompt engineering, RAG pipelines, and evaluation techniques in real-world NLP deployments.
- Hands-on experience in deploying models on cloud platforms (AWS, Azure, or GCP).
- Familiarity with the healthcare domain and working on Real World Evidence (RWE) datasets is highly desirable.
Preferred Skills:
- Strong understanding of healthcare data regulations (HIPAA, PHI handling, etc.)
- Prior experience in speech and text-based AI applications
- Excellent communication and stakeholder engagement skills
- A passion for impactful innovation in the healthcare space
Shubham Vishwakarma
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