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Manager - Data Science

Manager - Data Science

BirdeyeGurugram
1 day ago
Job description

Description :

Job Responsibilities :

  • Develop and execute the AI NLP strategy for the company, aligning it with the overall business objectives.
  • Build and lead a team of data scientists, AI engineers, and researchers, fostering a collaborative environment and technical growth.
  • Encourage experimentation and innovation, particularly in generative AI applications.
  • Drive initiatives around generative AI applications, exploring new use cases like content automation, conversational interfaces, and dynamic product features.
  • Research and explore new NLP techniques and technologies to stay at the forefront of the field.
  • Design, develop, and deploy NLP models for tasks such as text classification, sentiment analysis, machine translation, and question answering.
  • Evaluate the performance of NLP models and make necessary improvements.
  • Stay updated with advancements in generative AI models and explore integration into customer-focused solutions.
  • Collaborate with product teams to identify opportunities to apply NLP solutions to address business challenges.
  • Effectively communicate AI concepts and results to technical and non-technical stakeholders.
  • Establish frameworks for responsible AI development, ensuring solutions are transparent, fair, and privacy-compliant.
  • Implement measures to monitor and address risks related to bias and performance in generative AI models.

Requirements :

  • Advanced degree (Masters or Ph.D.) in AI, Data Science, Computer Science, or related field.
  • 10+ years of experience in AI / ML development, including hands-on technical work and strategic leadership roles.
  • Strong technical expertise in machine learning, deep learning, and natural language processing.
  • Experience with generative AI models and their practical applications (e.g., GPT, GANs, image generation, etc.)
  • Proficiency in programming languages such as Python and R.
  • Experience with NLP frameworks and libraries like NLTK, spaCy, TensorFlow, and PyTorch.
  • Experience in deploying AI solutions in customer-focused SaaS products to enhance customer experience, automate workflows, and create personalized content.
  • Proven leadership experience in building, mentoring, and managing cross-functional AI teams.
  • Strong business acumen with the ability to align AI strategies with business goals and customer needs.
  • Excellent problem-solving abilities with a strategic and innovative mindset.
  • High level of adaptability to stay current with the fast-evolving AI landscape.
  • What We Offer :

  • A collaborative culture with opportunities to innovate in AI
  • Leadership role in a growing SaaS company with room to shape AI-driven product evolution
  • A chance to leverage and advance generative AI technologies to enhance customer experience
  • (ref : hirist.tech)

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