Data Scientist/ Senior Data Scientist
Data Scientist/ Senior Data Scientist
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Job Description
We are seeking a Senior Data Scientist who has foundational skills in machine learning and is eager to grow in areas like Azure Generative AI and Agentic AI.
The ideal candidate should be comfortable working with Python-based ML tools and have exposure to deploying models on cloud platforms and building AI solutions.
We are looking for a highly skilled Senior Data Scientist with deep hands-on expertise in machine learning computer vision generative AI and cloud-based AI solutions (preferably Azure). The ideal candidate will drive innovation across our AI/ML initiatives and work closely with cross-functional teams to design develop and scale intelligent solutions that power real-world applications.
Key Responsibilities:
- Lead end-to-end development of ML/DL models from data preprocessing to model deployment.
- Design and implement advanced solutions using computer vision NLP and generative AI models (e.g. Transformers GANs).
- Apply and experiment with agentic AI approaches to build autonomous decision-making systems.
- Collaborate with engineering product and business stakeholders to align AI solutions with business outcomes.
- Work with large-scale datasets and implement MLOps pipelines for automated training evaluation and deployment on cloud (Azure preferred).
- Stay up to date with the latest AI research and apply state-of-the-art techniques in production systems.
- Mentor junior data scientists and contribute to AI knowledge sharing across teams.
Skills & Qualifications:
- Experience in data science ML or AI with demonstrated project ownership.
- Proficiency in Python and frameworks like TensorFlow PyTorch OpenCV scikit-learn etc.
- Strong background in generative models (e.g. LLMs GANs VAEs) and foundational ML techniques.
- Expertise in computer vision including object detection image classification and segmentation.
- Experience in implementing agentic AI systems using modern orchestration tools and frameworks.
- Hands-on experience with Azure AI services (e.g. Azure ML Cognitive Services Azure OpenAI Azure Blob for data handling).
- Solid understanding of MLOps practices (CI/CD version control model registry monitoring).
- Strong analytical problem-solving and communication skills.
Qualifications:
- Masters in Computer Science Data Science or a related field- Good to have
- Experience working in cloud-native AI environments (Azure AWS or GCP).
- Exposure to vector search engines knowledge graphs and retrieval-augmented generation (RAG).
- Publications patents or active participation in AI communities or open-source contributions.
Employment Type
Full-time
