(Apply in 3 Minutes) Data Scientist

13 hours ago

Bengaluru, India Cypher People Consulting Private Limited Full time

Job Description

Data Scientist

Job Summary:

We are looking for a results-oriented Data Scientist with expertise in Statistics, Economics, Machine Learning, Deep Learning, Computer Vision, and Generative AI. The ideal candidate will have a proven track record of building and deploying predictive models, conducting statistical analysis, and applying cutting-edge AI techniques to solve real-world business challenges.

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Key Responsibilities:

Develop models for regression, classification, clustering, and time series forecasting.

Perform hypothesis testing and statistical validation to support data-driven decisions.

Build and optimize deep learning models (ANN, CNN, RNN including LSTM, BERT).

Implement computer vision solutions using YOLOv3, SSD, U-Net, R-CNN, etc.

Apply Generative AI and LLMs (GPT-4, LLaMA2, Bard) for NLP and content generation.

Create interactive dashboards and applications using Streamlit or Flask.

Deploy models using AWS SageMaker, Azure, Docker, Kubernetes, and Jenkins.

Collaborate with cross-functional teams to integrate models into production.

Handle large datasets using SQL/NoSQL and PySpark.

Stay updated with the latest AI/ML research and contribute to innovation.

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Technical Skills:

Programming & Frameworks:

Languages: Python

Libraries/Frameworks: TensorFlow, PyTorch, Keras, Flask, Transformers, Langchain, PySpark, Caffe

Visualization & Data Tools: Pandas, NumPy, Seaborn, Matplotlib, Scikit-learn, Scipy, NLTK, Streamlit, OpenCV, Scikit-Image, Dlib, MXNet, Fasta

ML & Statistical Techniques:

Regression (Linear/Logistic), Decision Trees, Random Forest, KNN, Nave Bayes

Clustering (KMeans, Hierarchical), Time Series Forecasting

Hypothesis Testing, Statistical Inference

Deep Learning & Computer Vision:

ANN, CNN, RNN (LSTM, BERT), VGGs, YOLOv3, SSD, HOGs, DCGAN, U-Net, R-CNN, NEAT, Inpainting

Gen-AI / LLMs:

HuggingFace, GPT-4, Bard, LLaMA2, Pinecone, Palm, GenAI Studio, OpenAI fine-tuning

Deployment & DevOps:

AWS (SageMaker), Azure, Docker, Kubernetes, Jenkins, Git, GitHub, API integration

Databases & Tools:

MySQL, NoSQL

Jupyter Notebook, Google Colab, Visual Studio, Power BI

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Qualifications:

Bachelor's or Master's in Statistics, Economics, Computer Science, Data Science, or related field.

Demonstrated experience in developing and deploying models in production.

Strong analytical and statistical skills.

Excellent communication and collaboration abilities.

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