Senior Data Scientist (Python + SQL)
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Job Location:
Monthly Salary:
Posted on:
5 hours ago
Vacancies:
1 Vacancy
Job Summary
Role: Senior Data Scientist (Python SQL)
Location:Kochi
Employment Type: Full-time
Experience: 4 Years
Required Skills & Qualifications
4-6 years of hands-on experience in AI/ML model development and deployment.
Strong proficiency in Python and ML libraries such as scikit-learn TensorFlow PyTorch Keras spaCy Hugging Face Transformers.
Solid understanding of traditional ML algorithms (Regression SVM Random Forest XGBoost Clustering etc.).
Experience with NLP techniques (tokenization embeddings transformers BERT/GPT-based models LLM fine-tuning).
Practical experience with GenAI frameworks (Hugging Face LangChain LlamaIndex OpenAI/Anthropic APIs).
Experience with data processing tools (Pandas NumPy) and ML workflows.
Understanding of model evaluation A/B testing and performance tuning.
Familiarity with cloud platforms (AWS/GCP/Azure) and MLOps tools (Docker MLflow Kubeflow CI/CD pipelines).
Strong problem-solving abilities and ability to work independently on complex projects.
Location:Kochi
Employment Type: Full-time
Experience: 4 Years
Required Skills & Qualifications
4-6 years of hands-on experience in AI/ML model development and deployment.
Strong proficiency in Python and ML libraries such as scikit-learn TensorFlow PyTorch Keras spaCy Hugging Face Transformers.
Solid understanding of traditional ML algorithms (Regression SVM Random Forest XGBoost Clustering etc.).
Experience with NLP techniques (tokenization embeddings transformers BERT/GPT-based models LLM fine-tuning).
Practical experience with GenAI frameworks (Hugging Face LangChain LlamaIndex OpenAI/Anthropic APIs).
Experience with data processing tools (Pandas NumPy) and ML workflows.
Understanding of model evaluation A/B testing and performance tuning.
Familiarity with cloud platforms (AWS/GCP/Azure) and MLOps tools (Docker MLflow Kubeflow CI/CD pipelines).
Strong problem-solving abilities and ability to work independently on complex projects.
Required Skills:
Data ScienceMachine Learning
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
