Senior Data Scientist - AI & ML
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Job Location:
Monthly Salary:
Experience Required:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
Responsibilities:
Own the full ML lifecycle: model design training evaluation deployment
Design production-ready ML pipelines with CI/CD testing monitoring and drift detection
Fine-tune LLMs and implement retrieval-augmented generation (RAG) pipelines
Build agentic workflows for reasoning planning and decision-making
Develop both real-time and batch inference systems using Docker Kubernetes and Spark
Leverage state-of-the-art architectures: transformers diffusion models RLHF and multimodal pipelines
Collaborate with product and engineering teams to integrate AI models into business applications
Mentor junior team members and promote MLOps scalable architecture and responsible AI best practices
Requirements
5 years of experience in designing deploying and scaling ML/DL systems in production
Proficient in Python and deep learning frameworks such as PyTorch TensorFlow or JAX
Experience with LLM fine-tuning LoRA/QLoRA vector search (Weaviate/PGVector) and RAG pipelines
Familiarity with agent-based development (e.g. ReAct agents function-calling orchestration)
Solid understanding of MLOps: Docker Kubernetes Spark model registries and deployment workflows
Strong software engineering background with experience in testing version control and APIs
Proven ability to balance innovation with scalable deployment
B.S./M.S./Ph.D. in Computer Science Data Science or a related field
Bonus: Open-source contributions GenAI research or applied systems at scale
Company Industry
Advertising Services / Business Consulting and Services / Air / Water and Waste Program Management
Key Skills
- Laboratory Experience
- Mammalian Cell Culture
- Biochemistry
- Assays
- Protein Purification
- Research Experience
- Next Generation Sequencing
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Flow Cytometry
