
AI and Machine Learning Engineer Position
1 week ago
We are seeking a seasoned Machine Learning and AI expert to drive the development and deployment of cutting-edge models.
This role requires technical expertise in traditional ML, data science, and deep learning, as well as strategic oversight and leadership skills.
Key Responsibilities:
- Advanced Model Development & Optimization: Build, fine-tune, and optimize traditional machine learning and deep learning models for scalable, production-grade solutions across multiple domains (NLP, Vision, Audio).
- Research & Technical Leadership: Stay current with state-of-the-art machine learning and deep learning research, applying theoretical knowledge to 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 with data engineers, AI solutions engineers, software developers, and business leaders to align technical decisions with strategic business outcomes.
- Technical Mentorship: Guide junior engineers, promoting high engineering standards, best practices, and continuous learning within the team.
Requirements:
- Educational Background: Computer Science, Data Science, Statistics, Mathematics, or related technical discipline.
- Technical Mastery: 4+ years of experience developing, deploying, and optimizing machine learning and deep learning models. Proficient in Python, TensorFlow, PyTorch, scikit-learn, and 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 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.
Benefits:
- Collaborative environment with experienced teams, flexible work hours, and opportunities for professional growth and skill development.
- Opportunity to lead impactful, cutting-edge AI projects transforming client businesses and advancing strategic growth.
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