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Data Scientist
3 months ago
Job Overview:
We are seeking a highly skilled and experienced Senior Data Scientist to join our dynamic team. The ideal candidate will have a strong background in AI, machine learning (ML), and generative AI, with a proven track record of developing and deploying sophisticated models in production environments. You will play a crucial role in advancing our AI capabilities, driving innovation, and contributing to the development of cutting-edge AI products.
Key Responsibilities:
- Lead the design, development, and deployment of advanced AI/ML models, including generative AI, for various business applications.
- Collaborate with cross-functional teams, including data engineers, software developers, and product managers, to deliver AI-driven solutions that align with business goals.
- Analyze large, complex datasets to extract meaningful insights and develop predictive models.
- Stay up-to-date with the latest advancements in AI, ML, and generative AI, and apply them to improve existing models and create new solutions.
- Mentor and guide junior data scientists and analysts, fostering a culture of continuous learning and innovation.
- Participate in the end-to-end lifecycle of AI projects, from problem definition to model deployment and performance monitoring.
- Optimize models for scalability, performance, and accuracy in production environments.
- Communicate complex AI concepts and results to both technical and non-technical stakeholders in a clear and concise manner.
Qualifications:
Education: Master’s or PhD in Computer Science, Data Science, Statistics, Mathematics, or a related field.
Experience:
5+ years of hands-on experience in AI/ML, with a focus on generative AI and deep learning techniques.
Technical Skills:
- Proficiency in programming languages such as Python, R, or Java.
- Expertise in machine learning frameworks such as TensorFlow, PyTorch, or Keras.
- Strong understanding of generative models (e.g., GANs, VAEs) and natural language processing (NLP).
- Experience with cloud platforms (AWS, Azure, GCP) for deploying AI solutions.
- Solid knowledge of data processing and analysis tools (e.g., Pandas, NumPy, SQL).
Analytical Skills:
Strong problem-solving skills with the ability to translate business challenges into AI/ML solutions.
Communication: Excellent communication and collaboration skills, with the ability to convey complex technical concepts to diverse audiences.
Preferred:
Experience with MLOps practices and tools for model deployment and monitoring.
