AI Developer job description template

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AI Developer Job Description Template

AI developers are at the forefront of innovation, designing intelligent systems that transform industries. Whether you're looking to automate processes, enhance decision-making, or build groundbreaking AI applications, hiring the right AI developer can drive your project's success. Use this template to craft an effective job description tailored to your needs and attract top talent on Upwork.


Job Overview

An AI developer leverages machine learning algorithms, data science frameworks, and programming expertise to create innovative AI solutions. They work closely with data scientists, software engineers, and stakeholders to develop and deploy AI-powered applications that solve real-world problems. With skills in Python, Java, and platforms like TensorFlow and PyTorch, AI developers design systems such as neural networks and natural language processing models to optimize workflows, enhance decision-making, and tackle complex problems. Ideal candidates possess strong problem-solving skills, a bachelorโ€™s degree or masterโ€™s degree in a related field, and a passion for advancing artificial intelligence technologies.


Key Responsibilities

  • Developing AI models. Create and train machine learning models and neural networks for tasks like computer vision, speech recognition, and data analysis.
  • Collaborating with teams. Work alongside data scientists, stakeholders, and project managers to identify business needs and drive AI solutions.
  • Implementing algorithms. Design and optimize machine learning algorithms for scalable, high-performance systems.
  • Integrating AI systems. Deploy AI-powered applications into existing workflows and ensure seamless integration with APIs and platforms.
  • Conducting data preprocessing. Clean and prepare large datasets to train and fine-tune models.
  • Monitoring performance. Evaluate the efficiency of AI systems through testing and optimization for continuous improvement.
  • Researching advancements. Stay updated on cutting-edge AI technologies, tools, and industry trends to keep projects innovative.
  • Debugging and troubleshooting. Identify and resolve technical issues in AI systems to maintain functionality and reliability.
  • Developing intelligent systems. Build intelligent systems for automation, robotics, and other AI applications.

Qualifications and Skills

  • Education. A bachelorโ€™s degree or masterโ€™s degree in computer science, data science, or a related field.
  • Programming skills. Proficiency in Python, Java, and programming languages commonly used in AI development.
  • Technical expertise. Experience with AI frameworks like TensorFlow, PyTorch, and tools for building AI systems.
  • Problem-solving skills. Strong analytical abilities to address complex problems and design efficient solutions.
  • Data expertise. Knowledge of data analysis, big data, and preprocessing for machine learning models.
  • Communication skills. Ability to collaborate effectively with team members, stakeholders, and cross-functional teams.
  • Years of experience. Minimum of 2โ€“5 years in software development or AI development.
  • Certifications. Industry certifications in AI and machine learning are a plus.
  • Soft skills. Strong interpersonal abilities to navigate team dynamics and convey technical concepts clearly.

About Our Company

We are a tech-forward organization dedicated to leveraging artificial intelligence to drive innovation and achieve business goals. Our collaborative team thrives on solving complex problems and building AI-powered solutions that redefine industries. We value creativity, problem-solving, and technical excellence, and we provide an environment where cutting-edge ideas come to life. Join us in shaping the future of AI applications and making a tangible impact.



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    Hello! ๐Ÿ‘‹ Iโ€™m a Data Annotation Specialist with over 5 years of experience in providing high-quality, labeled datasets for AI & Machine Learning projects. I have worked with top platforms like CVAT, Labelbox, Roboflow, and SuperAnnotate, delivering precise annotations across various industries, including: ๐Ÿš— Autonomous Driving โ€“ Object detection, semantic segmentation, lane marking ๐Ÿฅ Healthcare โ€“ Medical image labeling, disease detection datasets ๐ŸŒพ Agriculture โ€“ Crop, pest, and plant disease annotation ๐Ÿ› E-commerce โ€“ Product tagging, categorization, and attribute labeling ๐ŸŽฅ Video Annotation โ€“ Tracking, activity recognition, and event labeling My Skills & Expertise: โœ” Image, Video, Text, & Audio Annotation โœ” Bounding Boxes, Polygon, Keypoint & Semantic Segmentation โœ” Quality Assurance (QA) of labeled data โœ” Annotation guideline creation & workflow optimization โœ” High accuracy with fast turnaround Why Work With Me? ๐Ÿ’ก 100% accuracy-focused annotations ๐Ÿ’ก Proven experience with AI/ML dataset preparation ๐Ÿ’ก Clear communication & timely delivery ๐Ÿ’ก Ability to handle urgent, high-volume projects If youโ€™re looking for reliable, detail-oriented data annotation support for your AI project, letโ€™s connect and make your dataset project-ready!
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    A coauthor of two books and more than 30 scientific papers in control and electronic engineering. A Ph.D. since 2016 and his thesis was in the field of embedded software and robotic systems employing DSP and FPGA platforms. An IEEE member for 5 years. Presently a head of Embedded Control Systems laboratory at Technical University of Sofia, Bulgaria. Has been responsible for several engineering projects on international and national level.
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