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As a AI/ML Engineer, you will play a key role in designing, building, and deploying intelligent systems, algorithms, and models that learn from data and solve complex problems.
Job Responsibility:
Understand business requirements and design, develop and deploy AI/ML models and algorithms from concept to production in a timely and high-quality manner
Ensure project timelines and targets are consistently met
Act as an individual contributor, taking ownership of maintaining and supporting applications
Continuously seek innovative ways to improve existing applications
Requirements:
Bachelor's degree in Data Science, Computer Science, Engineering or a related field
Minimum 3-4 years hands-on experience in implementing and deploying large-scale, customer-facing AI/ML systems
Deep knowledge of Python and R for model development, ML frameworks (like TensorFlow, PyTorch), MLOps, and understanding AI/ML concepts and potential ethical issues
Strong understanding of classical and modern AI/ML techniques, including supervised and unsupervised learning algorithms, beyond academic coursework
Extensive experience in classification, time series analysis, pattern recognition, reinforcement learning, deep learning, dynamic programming, and optimization techniques
Ability to identify high-impact data analytics problems and determine the most relevant datasets and variables
Experience in collecting, cleaning, validating, and processing large structured and unstructured datasets from diverse sources
Proficiency in developing and applying models and algorithms to extract insights from big data
Strong analytical skills to identify trends and patterns in data and derive actionable insights
Expertise in communicating findings through data visualization and reports for stakeholders
Real-world experience with supervised and semi-supervised learning models
What we offer:
A dynamic and collaborative work environment
Opportunities for professional growth and development
Competitive compensation and benefits
The chance to shape impactful products that solve real-world problems
Exposure to cutting-edge technologies and tools, with opportunities to innovate and explore new business solutions
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