Jobgether-posted 2 months ago
Mid Level
11-50 employees

This is an exciting opportunity for a creative and technically driven AI professional to join a fast-growing, innovation-focused team. In this role, you will design, develop, and implement advanced AI and machine learning solutions to address real-world challenges across various domains. You will work collaboratively with engineers, data scientists, and product teams to build intelligent systems that power next-generation applications. This position offers the chance to work at the intersection of AI research and production engineering—where innovation meets scalability and impact.

  • Design, build, and optimize machine learning and deep learning models for use in production systems.
  • Develop AI algorithms for applications such as computer vision, speech recognition, NLP, and recommendation systems.
  • Collect, preprocess, and analyze large datasets to ensure data quality and enhance model performance.
  • Implement scalable software pipelines to deploy AI models on cloud or edge environments.
  • Collaborate with cross-functional teams to integrate AI-driven capabilities into existing products and systems.
  • Research emerging AI technologies, frameworks, and tools to drive innovation and performance improvements.
  • Document design decisions, technical specifications, and best practices for ongoing development.
  • Provide mentorship and technical support to junior team members and contribute to a collaborative learning culture.
  • Bachelor’s degree in Computer Science, Electrical Engineering, or related field (Master’s or Ph.D. preferred).
  • Minimum of 3 years of experience in AI software development, machine learning, or deep learning engineering.
  • Strong programming skills in Python, Java, or C++, and hands-on experience with frameworks like TensorFlow, PyTorch, or scikit-learn.
  • Solid understanding of supervised, unsupervised, and reinforcement learning techniques.
  • Experience developing and deploying deep learning architectures such as CNNs, RNNs, or transformers.
  • Familiarity with software development best practices, including version control, testing, and CI/CD.
  • Strong problem-solving and analytical abilities with a proactive, research-oriented mindset.
  • Excellent communication skills and the ability to collaborate effectively across disciplines.
  • Experience with cloud environments (AWS, Azure, GCP) and container technologies (Docker, Kubernetes) is a plus.
  • Competitive compensation based on experience and performance.
  • Hybrid or fully remote work options available.
  • Comprehensive health, dental, and vision insurance coverage.
  • Paid vacation, holidays, and personal time off.
  • Opportunities for professional growth, continuous learning, and certification support.
  • Innovative, fast-paced work environment where creativity and experimentation are encouraged.
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