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Senior AI/ML Developer

2 weeks ago

Solapur, Maharashtra, India beBeeMachineLearning Full time ₹ 20,00,000 - ₹ 30,00,000
Job Title:

Machine Learning Engineer

Description:

We are seeking an exceptional Machine Learning Engineer to lead the development and deployment of advanced AI models.

This role emphasizes technical expertise and strategic oversight, including model fine-tuning, architecture enhancements, and integrating cutting-edge research into scalable production solutions.

The ideal candidate will have extensive experience in developing, deploying, and optimizing machine learning models, with a strong background in Python and libraries such as TensorFlow and PyTorch.

Responsibilities include:

  • Advanced Model Development & Optimization: Build, fine-tune, and optimize traditional machine learning models to deliver scalable, production-grade solutions across multiple domains (NLP, Vision, Audio).
  • Research & Technical Leadership: Stay current with state-of-the-art machine learning research, translating complex theoretical knowledge into practical business applications.
  • Strategic Deployment & Monitoring: Lead the development of sophisticated deployment strategies and robust monitoring frameworks, ensuring continuous performance evaluation and iterative improvement.
  • Cross-Functional Collaboration: Partner closely with data engineers, AI solutions engineers, software developers, and business leaders to align technical decisions with strategic business outcomes.
  • Technical Mentorship: Guide junior engineers and promote high engineering standards, best practices, and continuous learning within the team.
  • Comprehensive Documentation & Communication: Clearly document and communicate complex technical solutions, methodologies, and results to stakeholders across the organization.

The successful candidate will drive innovation, develop transformative solutions, and influence our strategic direction. They will also be responsible for shaping new AI-driven product offerings and delivering measurable results aligned with our core values.

Requirements include:

  • 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 models. Proficient in Python and libraries/frameworks such as TensorFlow, PyTorch, scikit-learn, and familiarity with cloud platforms like AWS, Azure, or GCP.
  • Strong Data Science Fundamentals: Deep understanding of traditional machine learning techniques, statistical analysis, predictive modeling, and advanced data science concepts.
  • 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.