AI/ML/Data Scientist
2 days ago
Role Description
This is a full-time on-site role for an AI/ML/Data Scientist located in Bengaluru. The AI/ML/Data Scientist will be responsible for designing, developing, and implementing machine learning models and algorithms. Day-to-day tasks include data analysis, data visualization, and data science projects. You will also be tasked with data collection, cleaning, and preprocessing to ensure high-quality datasets for model training and evaluation. Collaboration with cross-functional teams to deliver scalable AI/ML solutions is a key aspect of this role.
We are looking for a highly motivated AI/ML/Data Scientist with 4+ years of experience in Natural Language Processing (NLP), Machine Learning, and Data Science. The ideal candidate will design, develop, and deploy AI/ML models, apply advanced data-driven techniques, and contribute to building scalable, intelligent systems that solve real-world business problems.
- Design, develop, and optimize NLP models for text classification, sentiment analysis, entity recognition, and conversational AI.
- Apply machine learning and deep learning algorithms to large datasets for predictive and prescriptive analytics.
- Collaborate with cross-functional teams (engineering, product, business) to understand requirements and translate them into AI-driven solutions.
- Build, train, and deploy scalable ML models using frameworks such as TensorFlow, PyTorch, Scikit-learn, Hugging Face Transformers.
- Perform data preprocessing, feature engineering, and model performance evaluation.
- Stay updated with the latest advancements in AI/ML, LLMs, and generative AI techniques.
- Optimize models for accuracy, scalability, and efficiency in production environments.
- Work with cloud platforms (AWS, Azure, GCP) for AI/ML deployment and data pipelines.
Qualification
- Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, or related field.
- 4+ years of hands-on experience in AI/ML/Data Science roles.
- Strong expertise in AI/ML/Data Science .
- Proficiency in Python, SQL, and ML frameworks
- Solid understanding of machine learning algorithms, deep learning architectures
- Experience working with structured and unstructured datasets.
- Strong problem-solving and analytical skills.
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