Design and develop novel AI algorithms, multi-modal models, and added capabilities, including machine learning models, deep learning architectures, and natural language processing techniques.
Conduct cutting-edge research to implement innovative AI techniques and methodologies.
Research and implement AI algorithms from the latest research papers and adapt them to solve real-world problems.
Develop custom AI workflows tailored to specific use cases and requirements.
Conceptualize and prototype new AI-driven applications.
Integrate and compound existing AI technologies to develop advanced automation systems.
Design and implement complex AI architectures that leverage multiple AI models and frameworks.
Optimize and fine-tune AI systems for maximum efficiency, scalability, and performance.
Develop and optimize custom AI workflows for data processing, model training, and deployment.
Implement automation scripts and tools to streamline AI workflows and improve productivity.
Develop API services and interfaces that facilitate seamless AI integration.
Develop and maintain backend services and algorithms to support AI functionalities.
Implement efficient database schemas and manage data storage solutions, including relational and NoSQL databases.
Ensure seamless integration of microservices with real-time data and backend systems.
Design and implement real-time data streaming and analytics solutions using frameworks such as Apache Kafka, Apache Flink, and Spark Streaming.
Develop real-time data pipelines for ingestion, processing, and analysis to support AI applications.
Stay updated with the latest advancements in AI research and technology, and disseminate knowledge within the team.
Prepare technical documentation, research papers, and presentations to share findings and project progress.
Requirements & Skills:
3+ years of experience in AI research and development, with strong experience building and deploying AI systems.
Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field. Ph.D. is a plus.
Strong programming skills in languages such as Python, Java, and C++, and experience with AI frameworks like TensorFlow, PyTorch, or Keras.
Proficiency in data processing and analysis tools such as Pandas, NumPy, and SQL.
Experience with backend technologies such as Node.js, Django, Flask, or similar frameworks.
Knowledge of relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra).
Experience with reinforcement learning and advanced deep learning techniques.
Experience with natural language processing (NLP) and computer vision projects.
Experience with hardware integration and interfacing with sensors, actuators, microcontrollers, etc.
Experience with real-time data streaming and analytics frameworks such as Apache Kafka, Apache Flink, and Spark Streaming.
Excellent problem-solving skills and the ability to think critically and creatively.
Strong communication and teamwork skills, with the ability to convey complex technical information clearly.
Ability to manage multiple tasks and projects simultaneously.
