- Relevant Exp-7 Plus (As Data Scientist)

- Location-Bang And Hyd

- Notice -30 or 60 Days

- Salary- Best in Industry.

Required Qualifications :

- Bachelor's or Masters degree in Computer Science, Data Science, Statistics, or a related field

- 6+ years of experience in Data Scientist and relevant stream

- Hands-on experience with AutoML platforms and deep learning frameworks

- Familiarity with synthetic data generation tools and their applications

- Solid programming skills in Python, R, and SQL

- Solid understanding of statistics, mathematics, and data modeling techniques

- Proven excellent problem-solving skills and the ability to work independently or in a team

- Proven solid communication and documentation skills.

Primary Responsibilities :

- Analyze large and complex datasets to extract actionable insights and support data-driven decision-making

- Design, develop, and deploy machine learning and deep learning models for various business use cases

- Utilize AutoML tools (e.g., H2O.ai, Google Cloud AutoML, DataRobot) to accelerate model development

- Apply classical ML algorithms such as Logistic Regression, Decision Trees, Clustering (K-means, Hierarchical, SOM), PCA, Bayesian models, and Time Series forecasting (ARIMA/ARMA)

- Implement deep learning techniques including CNNs, LSTMs, GRUs, and optimization methods like Adam, Adagrad, and regularization techniques (L1, L2)

- Work on recommender systems using Collaborative Filtering, FPMC, FISM, Fossil, etc.

- Develop and optimize models for NLP, speech, and image processing applications

- Use deep learning frameworks such as TensorFlow, Keras, PyTorch, XGBoost, Caffe, and Theano for model development and deployment

- Generate synthetic data using tools like Gretel.ai and Synthea when real data is limited or sensitive

- Collaborate using tools like Confluence for documentation and knowledge sharing

- Stay updated with the latest research and advancements in AI/ML and apply them to real-world problems