Apply Now
Senior Data Scientist
-
Seniority:
Senior
-
Work model:
Remote India
-
City:
India
-
Language:
English (C1)
-
Requirement
- Experience: 3+ years of experience in AI/ML engineering, with exposure to both classical machine learning methods and language model-based applications
- Technical Skills: Advanced proficiency in Python and experience with deep learning frameworks such as PyTorch or TensorFlow; expertise with Transformer architectures; hands-on experience with LangChain or similar LLM frameworks; experience with designing end-to-end RAG systems using state of the art orchestration frameworks (hands on experience with fine-tuning LLMs for specific tasks and use cases considered as an additional advantage)
- MLOps Knowledge: Strong understanding of MLOps tools and practices, including version control, CI/CD pipelines, containerization, orchestration, Infrastructure as Code, automated deployment
- Deployment: Experience in deploying LLM and other AI models with cloud platforms (AWS, Azure) and machine learning workbenches for robust and scalable productization
- Practical overview and experience with AWS services to design cloud solutions, familiarity with Azure is a plus; experience with working with GenAI specific services like Azure OpenAI, Amazon Bedrock, Amazon SageMaker JumpStart, etc.
- Data Engineering: Expertise in working with structured and unstructured data, including data cleaning, feature engineering with data stores like vector, relational, NoSQL databases and data lakes through APIs
- Model Evaluation and Metrics: Proficiency in evaluating both classical ML models and LLMs using relevant metrics
- Optimization Techniques: Experience with optimizing models for performance
- Problem-Solving Skills: Strong analytical skills with the ability to tackle complex engineering challenges, integrate new technologies, and improve existing processes.
-
Our Offer
- Work Life Balance.
- 8 hours work.
- Good work culture.
- Learning and Development.
- Modern work amenities.
