Data scientist
- Posted 20 hours ago
- Be among the first 30 applicants
Job Description
Job Description
About the job Senior AI/ML Engineer/Data scientist with strong expertise in Python programming and Machine Learning. Key Skills & Responsibilities Designing, build, and optimize machine learning models for classification, regression & NLP Experience in model training, validation, and deployment pipelines using frameworks like TensorFlow, PyTorch, or Scikit-learn. Excellent proficiency with Python (Good to have experience with PySpark as well) Prompt Engineering Have build Generative AI applications using tools and frameworks like LangChain or another libraries Monitor model performance and retrain models as needed. Experience building Agentic AI applications will be a plus Understanding of MlOps best practices
[Python Machine Learning SQL Datascience NLP Generative AI]
Additional Information
NA
About the job Senior AI/ML Engineer/Data scientist with strong expertise in Python programming and Machine Learning. Key Skills & Responsibilities Designing, build, and optimize machine learning models for classification, regression & NLP Experience in model training, validation, and deployment pipelines using frameworks like TensorFlow, PyTorch, or Scikit-learn. Excellent proficiency with Python (Good to have experience with PySpark as well) Prompt Engineering Have build Generative AI applications using tools and frameworks like LangChain or another libraries Monitor model performance and retrain models as needed. Experience building Agentic AI applications will be a plus Understanding of MlOps best practices
- Collaboration
- Work closely with data scientists, software engineers, and business stakeholders to translate requirements into technical solutions.
- Mentor junior engineers and contribute to technical design reviews.
- Innovation
- Stay updated with the latest advancements in AI/ML and data engineering technologies.
- Propose and implement innovative solutions to improve business processes. Good to have
- Develop and maintain ETL pipelines for large-scale data ingestion and transformation.
- Work with structured and unstructured data from multiple sources (APIs, databases, streaming platforms).
- Optimize data storage and retrieval using SQL/NoSQL databases and cloud data warehouses.
[Python Machine Learning SQL Datascience NLP Generative AI]
Additional Information
NA
More Info
Job Type:
Industry:
Employment Type:
Key Skills
LangChain
Generative AI
Scikit-learn
Cloud data warehouses
Data ingestion
Prompt Engineering
ETL pipelines
About Company
Skills:
Java, Hive, Hadoop, Python, Sql, Operations Research
Skills:
Machine Learning, Sql, Statistical Inference, Predictive Analytics, Python, Graph Machine Learning, Statistical Learning Theory, probability theory, reinforcement learning, Optimization, information theory, Time Series Forecasting, linear algebra, decision science
Skills:
Machine Learning, Gcp, Python, Feature Engineering, Mathematics, Statistics
Skills:
Tensorflow, Django, Git, Docker, Pytorch, Flask, FastAPI, Python, Computer Vision, SaaS LLMs, Generative AI, AWS Bedrock, Prompt engineering, COT, vector databases, huggingface, Azure OpenAI, Lang chain, llama index, Google Vertex AI, TOT, ReAct agents
Skills:
Logistic Regression, Cluster Analysis, Predictive Modelling, Random Forest, Python, Multivariate regression models, R, Ada-Boost, Statistical Machine Learning, Statistical tools and techniques