About the job Sr. Artificial Intelligence Engineer
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Job Overview:
Looking for an experienced and innovative Senior Artificial Intelligence Engineer to lead our AI initiatives and contribute to the development of cutting-edge AI solutions. The ideal candidate will have a strong background in machine learning, deep learning, and data science, along with proven experience in designing and implementing AI systems at scale.
Responsibilities:
- Lead the design, development, and implementation of AI algorithms and models to address complex business challenges
- Collaborate with cross-functional teams to understand business requirements and develop AI-driven solutions that align with strategic objectives
- Mentor and provide guidance to junior members of the AI engineering team, fostering a culture of continuous learning and professional growth
- Conduct research and experimentation to explore new AI techniques, algorithms, and technologies, and drive innovation within the organization
- Architect scalable and efficient software architectures for AI applications, considering factors such as performance, reliability, and scalability
- Ensure the quality and reliability of AI systems through rigorous testing, validation, and optimization efforts
- Stay abreast of the latest advancements and best practices in AI, machine learning, and related fields, and incorporate them into the development process
- Collaborate with product management and stakeholders to define product roadmaps and prioritize AI initiatives based on business impact
Requirements:
- Master's or Ph.D. degree in Computer Science, Engineering, Statistics, or a related field
- Minimum of 3 years of experience in AI engineering, with a proven track record of designing and implementing AI solutions in real-world applications
- Expertise in machine learning techniques, such as supervised learning, unsupervised learning, reinforcement learning, and deep learning
- Proficiency in programming languages commonly used in AI development, such as Python, Java, or C++
- Hands-on experience with AI frameworks and libraries, such as TensorFlow, PyTorch, scikit-learn, or Keras
- Strong understanding of software engineering principles, including software design, data structures, and algorithms
- Excellent problem-solving skills and the ability to analyze complex systems and data sets
- Effective communication and leadership abilities, with the capacity to articulate technical concepts to non-technical stakeholders
Preferred Qualifications:
- Experience working in an Agile development environment and familiarity with DevOps practices
- Previous experience in leading AI projects or teams
- Contributions to the AI research community, such as publications, patents, or open-source projects
- Knowledge of cloud computing platforms (e.g., AWS, Azure, Google Cloud) and experience deploying AI models in production environments
- Familiarity with big data technologies, such as Apache Hadoop, Spark, or Kafka
Benefits:
- Competitive salary and benefits package
- Opportunity to work on exciting projects and collaborate with a talented team of professionals
- Professional development opportunities, including training, conferences, and workshops
- Supportive work environment that encourages creativity, innovation, and career growth
- Flexible work hours and the option for remote work arrangements
Job Location: Remote/Hybrid/In-Office
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