deepsense.ai

Benefits:

• competitive salary

• opportunity to work on cutting-edge AI projects

• collaborative and supportive work environment

• opportunity to participate in conferences and workshops

• opportunity to participate in Tech Talks (internal training and seminar sessions)

Education Requirements:

• Bachelor's or advanced degree in Computer Science or Engineering

Experience Requirements:

• 3+ years in software engineering

• 1+ years working with cloud (AWS/Azure preferred)

Other Requirements:

• Good understanding of system architecture (microservices, monoliths, REST API, DNS, caching)

• Familiarity with Docker, Kubernetes, and cloud platforms for ML deployment

• Strong Python skills and familiarity with other object-oriented languages

• Very effective communication skills

• Ability to solve problems and communicate complex ideas effectively

Responsibilities:

• Collaborate with data scientists and software engineers to integrate machine learning solutions into cloud-based applications

• Continuously optimise and improve AI algorithms for performance and accuracy in a cloud environment

• Automate and optimise model deployment following MLOps best practices

• Engage in the development of cutting-edge Kubernetes-driven infrastructure

• Work on system reliability and backend stability, always looking for details to be improved

Benefits:

• competitive salary

• opportunity to work on cutting-edge AI projects

• collaborative and supportive work environment

• opportunity to participate in conferences and workshops

• opportunity to participate in Tech Talks (internal training and seminar sessions)

Education Requirements:

• Bachelor's or advanced degree in Computer Science or Engineering

Experience Requirements:

• 3+ years in software engineering

• 1+ years working with cloud (AWS/Azure preferred)

Other Requirements:

• Good understanding of system architecture (microservices, monoliths, REST API, DNS, caching)

• Familiarity with Docker, Kubernetes, and cloud platforms for ML deployment

• Strong Python skills and familiarity with other object-oriented languages

• Very effective communication skills

• Ability to solve problems and communicate complex ideas effectively

Responsibilities:

• Collaborate with data scientists and software engineers to integrate machine learning solutions into cloud-based applications

• Continuously optimise and improve AI algorithms for performance and accuracy in a cloud environment

• Automate and optimise model deployment following MLOps best practices

• Engage in the development of cutting-edge Kubernetes-driven infrastructure

• Work on system reliability and backend stability, always looking for details to be improved

Benefits:

• competitive salary and benefits package

• opportunity to work on cutting-edge AI projects

• collaborative and supportive work environment

• opportunity to participate in conferences and workshops

• opportunity to participate in Tech Talks (internal training and seminar sessions)

Experience Requirements:

• minimum of 4 years of experience in data science

Other Requirements:

• Skilled in Python with strong familiarity with data science libraries like NumPy, pandas, and scikit-learn

• Proficient in SQL for effective data management and querying

• Strong skills in creating data visualizations

• Excellent written and verbal communication skills

• Excellent problem-solving capabilities

Responsibilities:

• Develop and implement scalable models and analytics solutions to address real-world challenges

• Translate business requirements into data-driven insights and actionable goals

• Optimize data pipelines to enhance data processing and analysis capabilities

• Design automated processes for data analysis and report generation

• Ensure seamless integration of data solutions within client environments