
Senior AI Developer
2 days ago
Key Responsibilities:
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- Model Development: Design, build, and optimize supervised, unsupervised, and deep learning models for various business problems. Such models may include regression, classification, clustering, and dimensionality reduction.
- Data Exploration & Feature Engineering: Clean, transform, and analyze structured and unstructured data; identify significant features by applying statistical and mathematical methods.
- Ai Integration: Develop end-to-end Ai pipelines and integrate models into production systems using APIs or deployment frameworks like Flask, FastAPI, Docker, and MLflow.
- Collaboration: Work closely with product managers, domain experts, and engineers to understand requirements and translate them into data science solutions that meet business needs.
- Evaluation & Reporting: Track model performance (e.g., RMSE, F1 score, ROC AUC), and prepare technical documentation and reports on results achieved.
- Research & Innovation: Stay up to date with the latest Ai/Ml techniques (e.g., LLMs, transformers, reinforcement learning) and propose innovative applications that align with business goals.
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- Bachelors or Masters degree in Computer Science, Statistics, Mathematics, Data Science, or related field 4-6 years of hands-on experience in Python, R, SQL Machine Learning frameworks (e.g., Scikit-learn, XGBoost, LightGBM)
- Deep Learning (e.g., TensorFlow, PyTorch, Keras)
- Data manipulation and visualization (e.g., Pandas, NumPy, Matplotlib, Seaborn)
- Model deployment tools (e.g., Flask, FastAPI, Docker, MLflow)
- Experience with cloud platforms (AWS/GCP/Azure) and MLOps tools Familiarity with large-scale data processing (e.g., Spark, Dask) is a plus Exposure to NLP, computer vision, or generative Ai (OpenAi, Hugging Face, LangChain) is highly desirable.
Preferred Candidate Profile We are seeking a highly skilled and results-driven Data Scientist / Ai Specialist to join our data and Ai team. You will be responsible for developing and deploying advanced machine learning and Ai models to solve business problems, drive data-based decision-making, and support Ai-driven product development. What We Offer A dynamic and collaborative work environment Opportunities to work on cutting-edge Ai/ML projects Flexible work arrangements Competitive compensation and performance bonuses Continuous learning support through training and certifications.
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