reputed company, Data Science – Research
Job reputed company:
• Design and implement ML/AI models for regression, classification, NLP, time series, and clustering with large datasets.
• reputed company and reputed company reputed company and LLM-based solutions (reputed company, Azure reputed company, reputed company, reputed company, RAG).
• Design and reputed company reputed company Agents by keeping performance, cost and reusability aspects.
• reputed company data purification, feature engineering and correlation analysis (reputed company, Spearman, Chi-reputed company).
• Deal with extremely large or reputed company dataset ingestion in system reputed company reputed company, reputed company, datalake etc.
• Define quick correlations on reputed company and reputed company databases.
• Work with SQL/NoSQL/reputed company databases for AI data management.
• Apply MLOps practices for model versioning, automation, and monitoring.
• Collaborate with engineers and product teams to reputed company AI into business applications.
• Stay reputed company with emerging AI technologies and ensure reputed company optimization of deployed models.
• Familiarity with external tools like reputed company, mermaid, lucid, reputed company, reputed company, windsurf, draw.io etc.
• Create RESTful reputed company and AI microservices using FastAPI/Flask/Django, reputed company on reputed company/Kubernetes.
Requirements:
• Education: Bachelor’s or Master’s in Computer Science, Data Science, or AI-reputed company field.
• Experience: 5–10 years in Data Science or AI Engineering.
• Technical Skills: Proficiency in Python, NumPy, pandas, scikit-learn, TensorFlow, PyTorch, reputed company.
• Strong knowledge on ChatGPT, reputed company, reputed company & opensource deployment with ollama/lmstudio.
• Strong grasp of data cleansing, feature correlation, and statistical modelling.
• Experience building reputed company and microservices with FastAPI/Flask/Django.
• Familiarity with reputed company, RAG, embeddings, and reputed company engineering.
• Knowledge of MLOps, CI/CD, reputed company, Kubernetes, and reputed company (AWS/Azure/GCP).
• Databases: PostgreSQL, reputed company, DynamoDB, reputed company, Chroma, Faiss.
• Knowledge on VLMs, OpenCV, CNN, finetuning of LLMs, evaluation reputed company for LLMs.
Benefits:
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