Transformative AI Innovator

10 hours ago

Lucknow, Uttar Pradesh, India beBeeArtificialIntelligence Full time ₹ 2,50,00,000 - ₹ 3,00,00,000

Job Description:

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  • Lead the development and deployment of advanced AI and machine learning models, combining deep technical expertise in traditional ML, data science, and deep learning.
  • Oversee the development, monitoring, and continuous improvement of open-source and proprietary models for enterprise clients and internal products.
">">About Us:">

We are a company that empowers growth-stage businesses to turn into tech disruptors by providing world-class technology strategy, development, maintenance, and data science services. We encourage our employees to spend 80% of their time thinking through solutions and 20% coding them.

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We have an average client tenure of 4+ years, which allows you to get to know your clients and understand their challenges on a deeper level. You can also expand your knowledge during work hours reserved for learning or transition to a completely different role in the organization.

">What We Offer:">
  • Autonomy: Work from anywhere with flexible hours.
  • Leaves: All leaves taken are paid leaves.
  • Insurance: Family insurance is provided.
  • Quarterly Collaboration Week: Participate in quarterly collaboration weeks.
">

Why This Role Is Different

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This senior role empowers you to leverage your extensive ML and AI expertise to directly influence our strategic direction, drive innovation in diverse industry domains, and develop transformative solutions. Your leadership will set high technical standards, shape new AI-driven product offerings, and deliver measurable, outcome-oriented results aligned with our core values.

">Requirements:">
  • Educational Background: Background in Computer Science, Data Science, Statistics, Mathematics, or a related technical discipline.
  • Technical Mastery: 4+ years of hands-on experience developing, deploying, and optimizing machine learning and deep learning models. Proficient in Python and libraries/frameworks such as TensorFlow, PyTorch, scikit-learn, and familiarity with cloud platforms like AWS, Azure, or GCP.
  • Deep Learning Expertise: Proven ability to implement and fine-tune complex neural network architectures, including transformer-based models, CNNs, and RNNs. Production expertise highly desirable.
  • Strategic Problem-Solving: Demonstrated ability to address ambiguous problems strategically, creatively, and analytically, driving measurable business outcomes.
  • Excellent Communication Skills: Ability to clearly articulate technical solutions and insights to diverse stakeholders, from engineers to executives.
  • Proven Track Record: Experience delivering AI-driven solutions to production, demonstrating tangible impact and continuous improvement through data-driven insights.
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