Data Scientist 4
USD 174K-189K Senior-level Full Time
Tasks
- Build agentic AI systems
- Conduct data clustering and graph based analysis
- Deploy services on Kubernetes
- Design and implement AI/ML solutions
- Develop and optimize machine learning models
- Develop data processing workflows and reproducible pipelines
- Develop docker based microservices and cloud services
- Develop retrieval-augmented generation (RAG) capabilities
- Generate evaluate train and optimize large language models for edge environments
- Implement natural language processing pipelines
- Integrate data into ELK stack and databases
- Perform data curation cleaning transformation and ETL
- Perform statistical analysis and outlier detection
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Azure | Classification | Community Detection | Data Clustering | Data Mining | Docker | ELK Stack | ETL | ETL orchestration | Elasticsearch | Graph Algorithms | Graph theory | GraphFrames | Hugging Face | Kafka | Kibana | Kubernetes | Language Models | Language Processing | Large Language Models | Linux | Logstash | Machine Learning | MongoDB | Natural Language | Natural Language Processing | Neo4j | Neo4j Cypher | Outlier Detection | Pandas | PostgreSQL | PySpark | PyTorch | Python | Redis | RedisGraph | Retrieval-Augmented Generation | Spacy | Text Segmentation | Tokenization
Education
Associate Degree | Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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