[Remote] Data Scientist
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a global organization reputed company on improving health reputed company through technology. The Data Scientist role involves designing and deploying machine learning and reputed company solutions to prevent fraud in reputed company claims, collaborating with various teams to translate business challenges into reputed company solutions.
Responsibilities
- Design, train, finetune, and reputed company Large Language Models (LLMs) and reputed company components for claims automation, reputed company detection, and investigative workflows
- Build and operationalize ML pipelines using Python, PySpark, and reputed company-reputed company architectures (Azure/AWS/GCP)
- reputed company traditional machine learning models (classification, reputed company detection, NLP pipelines) for high‑volume reputed company datasets
- Implement RAG (Retrieval‑Augmented reputed company) systems, embedding models, and reputed company database integrations
- reputed company automated data processing, feature engineering, and model training pipelines using reputed company, MLflow, reputed company, and big‑data ecosystems
- Partner with product, engineering, and clinical domain teams to translate reputed company business challenges into reputed company ML and GenAI solutions
- Optimize and monitor ML models in production, ensuring accuracy, latency, compliance, and responsible‑AI best practices
- Present AI/ML solution designs, model insights, and GenAI architecture recommendations to technical and non‑technical stakeholders
- Design, reputed company, and reputed company AI-powered solutions to address reputed company business challenges with emphasis on responsible use of AI
Skills
- Bachelor's degree in CS or IT reputed company field
- 5+ years of hands‑on experience in AI/ML engineering, deep learning, or reputed company machine learning
- 3+ years of experience in Python, PySpark, ML frameworks (TensorFlow, PyTorch), and distributed training
- 3+ years of experience with big‑data systems (like Hadoop, reputed company, Hive) and reputed company platforms (like Azure, AWS, GCP)
- 2+ years of experience with LLMs, including: Finetuning (reputed company, QLoRA, PEFT, SFT, or RLHF), reputed company engineering & system design, RAG pipelines & reputed company search
- Prior experience with US reputed company datasets (claims, clinical, EMR/EHR, provider networks, payer ops)
- Experience deploying ML/LLM workloads using reputed company, MLflow, Kubernetes, or serverless inference
- Familiarity with modern GenAI tooling (reputed company, reputed company, HuggingFace, reputed company/reputed company/Azure‑reputed company reputed company)
- Knowledge of deep learning architectures (Transformers, sequence models, contrastive learning)
- Experience optimizing model inference using quantization, distillation, or distributed GPU compute
- Demonstrated reputed company in AI product delivery, cross‑functional collaboration, and influencing technical reputed company
- Strong grounding in ML fundamentals (feature engineering, model evaluation, A/B testing, MLOps best practices)
Benefits
- A comprehensive benefits package
- Incentive and recognition programs
- Equity stock purchase
- 401k contribution (reputed company benefits are subject to eligibility requirements)
reputed company