Data Scientist
- Posted a month ago
- Over 200 applicants have applied
Job Description
Key Deliverables:
- Design, develop, and implement AI/ML algorithms.
- Lead AI/ML projects from start to finish, guiding team members new to the field.
- Prepare data for model training and productionize machine learning models.
- Work on large and skewed data sets and implement solutions for real-world applications.
Role Responsibilities:
- Hands-on experience with machine learning and deep learning frameworks (TensorFlow, Keras, PyTorch).
- Strong command of data preparation techniques and tools (Pandas, Numpy).
- Implement AI/ML algorithms and productionize them for business use.
- Collaborate with team members, communicate effectively, and learn new domains and technologies.
More Info
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About Company
Tanla Platforms
Skills:
Data Science, Linear Regression, Tableau, Tableau Server, Statistical Modelling, Data Analytics, Python, Sql, Causal Inference Modeling, Time Series Modeling, Advanced Statistical Econometrics Models
Skills:
Machine Learning, Predictive Modeling, Pyspark, Databricks, Python, Sql, explainable ML techniques, model validation, commercial analytics, feature engineering, model performance evaluation
Skills:
Data Science, Exploratory Data Analysis, Advanced Analytics, Python, Applied Statistics
Skills:
Machine Learning, Apis, Ms Azure, Gcp, Dynamo Db, Python Programming, Neural Networks, Prompt tuning, AWS Bedrock, Similarity search using vector databases, Prompt engineering, Embedding generation, Llm, Output evaluation, Agentic AI, Claude LLMs, Document ingestion and chunking
Skills:
google apps script , React, Restful Apis, Python