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Engaged Employer

Codiant Software Technologies

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3.5

based on 61 Reviews

1 Codiant Software Technologies Data Scientist Job

Machine Learning (Data Scientist)

Codiant

3.5

based on 61 Reviews

2-5 years

Indore

1 vacancy

Machine Learning (Data Scientist)

Codiant Software Technologies

posted 8hr ago

Job Role Insights

Flexible timing

Key skills for the job

Data Annotation Machine Learning Django Natural Language Processing Deep Learning CNN

+ 10 more

Job Description

Hands-on experience with the design and implementation of Machine Learning and Deep Learning models for solving business problems.
Wide experience in NLP techniques and frameworks such as SpaCy, TextBlob, Gensim, NLTK, etc.
Good understanding of statistical concepts, models, and best practices.
Develop, test, and maintain web-based applications to specified designs and standards using Python and frameworks like FastAPI, Django, Flask, etc.
Proficiency with Python scripting and basic libraries such as NumPy, pandas, Matplotlib, Scikit-learn, Streamlit, OpenCV, etc.
Good understanding of LLM models such as GPT-3.5, GPT-4, LLama-2, Falcon, Stable Diffusion, Mistral, etc., and fine-tuning techniques.
Familiarity with various annotation tools like Labelbox, Prodigy, Doccano, etc.
Familiarity with supervised and unsupervised ML algorithms.
Good understanding of Deep Learning architectures like Transformer, Mixture of Experts, BERT, Roberta, etc.
Expertise in LLM application development frameworks like Langchain, Langoid, etc.
Good understanding of RAG techniques, VectorDBs like PineCone, Faiss, ChromaDB, etc.
Good understanding of SQL and NoSQL databases.
Deep understanding of both structured and unstructured datasets and data cleaning techniques.
Good understanding of MLOps techniques and tools like MLflow, Kubeflow, DVC, etc.
Hands-on experience with Deep Learning frameworks like PyTorch, TensorFlow, Keras, Hugging Face, etc.
Good understanding of model quantization techniques and model performance evaluation.
Understanding of GPU configurations and troubleshooting, including CUDA.
Outstanding analytical and problem-solving skills.
Implemented and proficient with OpenCV.
Deep understanding of Deep Learning architectures like ANN, CNN, RNN, LSTM, etc.
Deep understanding of ML architecture designs and complexity for production-ready ML/DL models.
Good understanding of AWS SageMaker, SQS, Lambda, S3, and Azure ML Studios.
Good understanding of bot frameworks like Rasa, Amazon Lex, Dialogflow, etc.