Data Scientist

Bangalore - India

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

Roles & Responsibilities :

Machine Learning & Data Science:

Develop and implement advanced statistical models predictive analytics and optimization frameworks.
Research develop and apply ML Deep Learning and AI techniques on large datasets.
Conduct exploratory data analysis (EDA) and apply feature engineering techniques.
Optimize and tune ML models for performance scalability and accuracy.

Large Language Models (LLMs) & NLP:

Fine-tune and customize LLMs (GPT LLaMA Falcon etc.) for enterprise use cases.
Implement Retrieval Augmented Generation (RAG) pipelines for chatbots and knowledge retrieval.
Work with vector databases for semantic search.
Deploy LLM-powered applications for document summarization sentiment analysis and automation.

AI & Data-Driven Business Insights:

Translate complex AI/ML models into actionable business insights.
Partner with stakeholders to define data requirements and ensure the right data is captured.
Develop proof-of-concept solutions demonstrating AI and ML capabilities.

Deployment & MLOps:

Deploy AI/ML models using cloud technologies (Azure AWS GCP).
Work with Docker Kubernetes and CI/CD pipelines for scalable ML deployment.

Continuous Learning & Innovation:

Stay updated with the latest trends in AI LLMs GenAI and cloud-based ML platforms.

Qualifications :

Qualifications & Skills

4 - 6 years of experience working as a data scientist

Technical Skills:

Strong experience in Python (NumPy Pandas Scikit-learn TensorFlow PyTorch Keras SciPy).
Hands-on expertise with LLMs NLP techniques and vector search (LangChain Hugging Face).
Solid understanding of statistics probability and data science methodologies.
Experience with data pipelines (ETL Spark Hadoop SQL NoSQL Data Lakes).
Knowledge of Cloud AI services (Azure ML AWS SageMaker GCP Vertex AI).
Strong software engineering principles with experience in Jupyter Notebooks API development and workflow automation.
Solid understanding of Cloud Technologies (ideally Microsoft Azure) and SQL are beneficial

Soft Skills:

Excellent communication presentation and collaboration skills.
Ability to translate AI/ML insights into business impact.
Self-motivated with a continuous learning mindset

Remote Work :

Employment Type :

Full-time

Roles & Responsibilities :Machine Learning & Data Science:Develop and implement advanced statistical models predictive analytics and optimization frameworks.Research develop and apply ML Deep Learning and AI techniques on large datasets.Conduct exploratory data analysis (EDA) and apply feature engin...

Roles & Responsibilities :

Machine Learning & Data Science:

Develop and implement advanced statistical models predictive analytics and optimization frameworks.
Research develop and apply ML Deep Learning and AI techniques on large datasets.
Conduct exploratory data analysis (EDA) and apply feature engineering techniques.
Optimize and tune ML models for performance scalability and accuracy.

Large Language Models (LLMs) & NLP:

Fine-tune and customize LLMs (GPT LLaMA Falcon etc.) for enterprise use cases.
Implement Retrieval Augmented Generation (RAG) pipelines for chatbots and knowledge retrieval.
Work with vector databases for semantic search.
Deploy LLM-powered applications for document summarization sentiment analysis and automation.

AI & Data-Driven Business Insights:

Translate complex AI/ML models into actionable business insights.
Partner with stakeholders to define data requirements and ensure the right data is captured.
Develop proof-of-concept solutions demonstrating AI and ML capabilities.

Deployment & MLOps:

Deploy AI/ML models using cloud technologies (Azure AWS GCP).
Work with Docker Kubernetes and CI/CD pipelines for scalable ML deployment.

Continuous Learning & Innovation:

Stay updated with the latest trends in AI LLMs GenAI and cloud-based ML platforms.

Qualifications :

Qualifications & Skills

4 - 6 years of experience working as a data scientist

Technical Skills:

Strong experience in Python (NumPy Pandas Scikit-learn TensorFlow PyTorch Keras SciPy).
Hands-on expertise with LLMs NLP techniques and vector search (LangChain Hugging Face).
Solid understanding of statistics probability and data science methodologies.
Experience with data pipelines (ETL Spark Hadoop SQL NoSQL Data Lakes).
Knowledge of Cloud AI services (Azure ML AWS SageMaker GCP Vertex AI).
Strong software engineering principles with experience in Jupyter Notebooks API development and workflow automation.
Solid understanding of Cloud Technologies (ideally Microsoft Azure) and SQL are beneficial

Soft Skills:

Excellent communication presentation and collaboration skills.
Ability to translate AI/ML insights into business impact.
Self-motivated with a continuous learning mindset

Remote Work :

Employment Type :

Full-time

Key Skills

Laboratory Experience
Immunoassays
Machine Learning
Biochemistry
Assays
Research Experience
Spectroscopy
Research & Development
cGMP
Cell Culture
Molecular Biology
Data Analysis Skills

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About Company

Bosch Group

Bosch first started in Vietnam with a representative office in 1994. Bosch has its main office in Ho Chi Minh City, with branch offices in Hanoi and Da Nang, and a Powertrain Solutions plant in the Dong Nai province to manufacture pushbelt for continuously variable transmissions (CVT) ... View more

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