Lead – ML & AI at KiwiTech
Noida, India · Noida, India · full time · senior level · Technology
About the role
Position Overview: We are seeking an experienced and dynamic Lead with 7+ years of experience in Machine Learning (ML) and Artificial Intelligence (AI) to lead our ML and AI team. You will lead a team of talented data scientists and engineers, fostering innovation and delivering cutting-edge ML and AI solutions. About KiwiTech: Since its genesis in 2009, KiwiTech has persistently led innovation toward creating a better tomorrow as a custom software development company providing end-to-end technology services.
Responsibilities
- Lead and manage the ML and AI team
- Define and execute the ML and AI strategy
- Collaborate with cross-functional teams
- Stay updated with latest ML/AI advancements
- Oversee design, development, and deployment of ML models
- Provide expertise in predictive modeling, NLP, computer vision, deep learning
- Collaborate with data engineering teams
- Establish best practices for data governance and model evaluation
- Manage and prioritize multiple ML and AI projects
- Work closely with stakeholders
- Ensure compliance and responsible use of data
Requirements
- Bachelor or Master degree in Computer Science, Data Science, or a related field. A Ph.D. is a plus.
- 10+ years of experience in ML and AI
- In-depth knowledge of ML and AI concepts, algorithms, and techniques
- Proficiency in Python, R, or Scala with TensorFlow, PyTorch, scikit-learn
- Experience in recommendation systems, fraud detection, NLP, or computer vision
- Strong understanding of data engineering principles
- Excellent leadership and people management skills
- Proven ability to translate business requirements into ML solutions
- Strong analytical and problem-solving skills
- Excellent communication and interpersonal skills
Benefits
- Competitive salary
- Comprehensive benefits package
- Supportive work environment
- Professional development opportunities
- Growth opportunities
Skills: Python, TensorFlow, PyTorch, scikit-learn, R, Scala, Deep Learning, NLP, Computer Vision, Machine Learning, Reinforcement Learning, Neural Networks
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