Data Scientist

**Job Information**:
Date Opened

**10/10/2024***

Job Type

**Full time***

Contract Duration

**Open***

Years of experience

**3 Years***

Industry

**Health Care***

**Required Skills**:

- AI ML- Generative AI+2

**Remote Job**

**About Us**:
Intelehealth is an international non-profit committed to improving access to primary health care in underserved regions of the world through its innovative technology platform. Intelehealth can be used by health organizations to set up high quality primary health care programs connecting patients in remote and rural communities to doctors.

We believe work should be meaningful as well as enriching. At Intelehealth, we’re taking on one of the world’s biggest development’s challenge - solving the health access gap for last mile populations. We believe in creating and maintaining an organizational culture of innovation which is conducive for the incredible people who work with us.

This is a remote position.

You will be working with cross-functional teams of healthcare professionals, data scientists, engineers, and business stakeholders to define and deliver cutting-edge solutions that transform healthcare delivery. If you are a highly motivated and results-oriented individual with a passion for leveraging healthcare data to drive insights and improve patient outcomes, we would love to hear from you.

Essential Duties And Responsibilities:

- Lead the design, development, and deployment of LLM-based solutions to address complex business challenges.
- Conduct advanced research and experiment with commercial LLM solutions (OpenAI GPT, Gemma, Llama), and leverage their APIs for rapid prototyping.
- Fine-tune pre-trained LLMs (e.g., GPT, BERT, T5) to suit specific use cases, ensuring high performance on natural language tasks.
- Utilize transfer learning techniques to adapt LLMs for domain-specific tasks.
- Develop and implement strategies for data augmentation and synthesis to improve model generalization.
- Build pipelines for preprocessing, training, and deploying models, ensuring scalability and reliability.
- Evaluate and optimize models using metrics such as accuracy, F1 score, perplexity, and computational efficiency.
- Create data pipelines for large-scale text data ingestion, cleaning, and annotation.
- Perform A/B testing and rigorous validation of LLM-based models, providing insights on model efficacy.
- Mentor junior data scientists and engineers on NLP techniques and best practices.
- Document model development and analysis processes for transparency and reproducibility.

**Requirements**:
Qualifications:

- Bachelor's degree in Data Science, Computer Science, Machine Learning, or a related field.
- Master’s degree is preferred

**Skill Sets**:

- Hands-on experience with popular LLM architectures (GPT, BERT, RoBERTa, T5, etc.) and fine-tuning them for specific tasks.
- Familiarity with commercial LLM solutions such as GPT, Gemma, Gemini, Llama.
- Proficiency in programming languages such as Python and frameworks like PyTorch or TensorFlow.
- Expertise in building and deploying machine learning models, including experience with model serving frameworks like TensorFlow Serving, MLflow, or similar.
- Familiarity with Retrieval-Augmented Generation (RAG) for improving model responses by integrating external knowledge bases or search engines.
- Experience using Jupyter Notebooks for experimentation, prototyping, and data analysis.
- Experience with cloud platforms (AWS, GCP, or Azure) for scalable model deployment.
- Strong knowledge of data preprocessing, feature engineering, and text vectorization methods (Word2Vec, GloVe, etc.).
- Proficient in statistical analysis and using tools like Pandas, NumPy, and Scikit-learn.
- Familiarity with MLOps practices for version control, CI/CD, and containerization (Docker, Kubernetes).
- Prior experience in developing conversational AI, chatbots, or virtual assistants using LLMs.
- Experience in the healthcare sector, with a focus on processing domain-specific language or medical text.
- Contributions to research publications or open-source NLP projects is a plus.
- Strong problem-solving skills and the ability to work with unstructured data.
- Excellent communication and collaboration skills.

**Attitudinal/Cultural Fit**
- You are a passionate self-learner & love taking on new challenges
- You love solving problems & digging for creative solutions if you don’t the answer to a problem
- You don’t get flustered easily. You can remain level headed under pressure
- You are meticulous & pay attention to details. Nothing falls off your radar. You believe in doing things perfectly, every single time you do them

**Benefits**:

- Remote working.
- Flexible working hours.
- Great work culture
- 5 days working.
- Group Medical Insurance