
Senior Data Strategist
4 days ago
Job Title: Data Expert
Role OverviewWe are seeking a seasoned data expert to drive our AI/ML initiatives forward.
The ideal candidate will possess a deep understanding of machine learning algorithms, experience with large-scale data processing, and proficiency in cloud-based infrastructure.
Key Responsibilities- Develop and deploy advanced machine learning models to solve complex business problems.
- Implement and optimize Large Language Models (LLMs) and Generative AI solutions for real-world applications.
- Build agent-based AI systems with autonomous decision-making capabilities.
- Conduct cutting-edge research on emerging AI technologies and explore their practical applications.
- Machine Learning: Proficient in Scikit-learn, XGBoost, LightGBM, and advanced ML algorithms.
- Deep Learning: Expertise in TensorFlow, PyTorch, Keras, CNNs, RNNs, LSTMs, and Transformers.
- Large Language Models: Experience with GPT, BERT, T5, fine-tuning, and prompt engineering.
- Generative AI: Hands-on experience with Stable Diffusion, DALL-E, text-to-image, and text generation models.
- Agentic AI: Knowledge of multi-agent systems, reinforcement learning, and autonomous agents.
- Education & Experience
- Master's or PhD in Computer Science, Data Science, Statistics, Mathematics, or a related field.
- 5+ years of hands-on experience in data science and machine learning, with a focus on real-world applications.
- 3+ years of experience working with deep learning frameworks and neural networks.
- 2+ years of experience with cloud platforms and full-stack development.
- Cloud Infrastructure - ML/AI solutions on AWS, Azure, or GCP
- Build and maintain ML pipelines using cloud services (SageMaker, ML Engine, etc.)
- Implement CI/CD pipelines for ML model deployment and monitoring
- Work with both SQL and NoSQL databases (PostgreSQL, MongoDB, Cassandra, etc.)
- Machine Learning: Scikit-learn
- Deep Learning: TensorFlow
- Programming: Python (expert), R, Java/Scala, JavaScript/TypeScript
- Cloud Platforms: AWS (SageMaker, EC2, S3, Lambda)
If interested, please submit your resume to the given email address.
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