Description:

The AI Software Engineer (The Intelligent Systems Developer) will create, deploy, and optimize AI solutions that power the next generation of smart applications.
This role involves collaborating with data scientists, software engineers, and product teams to design and develop AI-driven applications leveraging machine learning, natural language processing (NLP), and computer vision.
Key responsibilities include developing and optimizing AI algorithms, building scalable AI systems, designing data pipelines, training and tuning models, collaborating with cross-functional teams, deploying and monitoring AI models, and staying updated with AI research and trends.

Requirements:

Strong experience in developing machine learning models, deep learning algorithms, and NLP solutions, with proficiency in tools like TensorFlow, PyTorch, Scikit-learn, and Keras.
Proficiency in programming languages such as Python, R, or Java, with experience in developing production-level AI software and writing clean, efficient, and maintainable code.
Expertise in building data pipelines for training and deploying machine learning models, skilled in handling large datasets, data preprocessing, and optimizing data flows for performance.
Experience deploying AI models into production environments using cloud platforms (AWS, GCP, Azure) or on-premise infrastructure, familiar with containerization tools like Docker and orchestration tools like Kubernetes.
Excellent communication skills, with the ability to work across teams and explain complex AI concepts to both technical and non-technical stakeholders.
A Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, or a related field, with equivalent experience in AI software development highly valued.
3+ years of experience in AI software development, with hands-on experience designing and deploying AI models into production environments, and a proven track record of building machine learning or deep learning models.

Comprehensive medical, dental, and vision insurance plans with low co-pays and premiums.
Competitive vacation, sick leave, and 20 paid holidays per year.
Flexible work schedules and telecommuting options to promote work-life balance.
Opportunities for training, certification reimbursement, and career advancement programs.
Access to wellness programs, including gym memberships, health screenings, and mental health resources.
Life insurance and short-term/long-term disability coverage.
Confidential counseling and support services through an Employee Assistance Program (EAP).
Financial assistance for continuing education and professional development through tuition reimbursement.
Opportunities to participate in community service and volunteer activities.
Employee recognition programs to celebrate achievements and milestones.