Senior AI and Data Science Professional

5 days ago

Bengaluru, Karnataka, India beBeeDataScientist Full time

Achieve Success in AI and Data Science with Our Dynamic Team

Job Description:

  • Create advanced data-driven solutions that address complex business challenges by leveraging Salesforce technology to enhance customer experiences.
  • Design, develop, and implement Generative AI models (such as GPT, GANs, VAEs) for various applications, optimizing and fine-tuning AI models for performance, scalability, and accuracy.
  • Deploy AI models into production environments using cloud platforms (AWS, GCP, Azure) and MLOps practices, collaborating closely with cross-functional teams to create cutting-edge solutions.

Required Skills and Qualifications:

  • Technical Skills:
    • Proficient in Python, with a strong understanding of libraries such as TensorFlow, PyTorch, scikit-learn, and pandas.
    • Experience with Generative AI models (e.g., GPT, GANs) and natural language processing (NLP).
    • Strong background in machine learning, deep learning, and statistical modeling.
    • Familiarity with cloud computing platforms (AWS, GCP, Azure) and MLOps tools.
  • Soft Skills:
    • Strong problem-solving skills and attention to detail.
    • Ability to work independently as well as collaboratively in a team environment.
    • Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.

Benefits:

  • Be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities.
  • We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life.
  • Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other.

Others:

  • 3+ years of experience in data science, AI, or machine learning roles.
  • Proven track record of deploying AI models in production environments.
  • Experience in working with large datasets and big data technologies.
  • Bachelors or Masters degree in Computer Science, Data Science, Engineering, or a related field.

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