Voice.ai

Benefits:

• Paid time off

• Remote and flex working hours

• Additional perks

Education Requirements:

• Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent work experience)

Experience Requirements:

• Proven experience in ML Ops, DevOps, or a related role, preferably in a startup environment.

• Proficiency in cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes).

• Strong programming and scripting skills (e.g., Python, Bash).

• Familiarity with machine learning frameworks and libraries.

• Knowledge of CI/CD tools and practices.

Other Requirements:

• Excellent problem-solving skills and the ability to work in a fast-paced, dynamic environment.

• Strong communication and collaboration skills.

• Experience with monitoring and logging tools (clearml or mlflow)

Responsibilities:

• Collaborate with machine learning engineers and data scientists to deploy machine learning models into production environments.

• Develop and maintain deployment pipelines.

• Manage and optimize the infrastructure required for machine learning workloads, including cloud resources and containerized environments.

• Implement CI/CD pipelines.

• Work closely with data engineers and data scientists to ensure robust data pipelines and monitor data quality.

Benefits:

• Paid time off

• Remote and flex working hours

• Additional perks

Education Requirements:

• Master's degree in Computer Science or related tech field OR equivalent experience

Experience Requirements:

• 5+ years of experience in Machine Learning.

• 2+ years of work or educational experience in speech tech (such as automatic speech recognition (ASR), speaker recognition/identification/diarization, emotion classification, text-to-speech).

• Strong knowledge of ML techniques including both supervised and unsupervised learning, classification, regression, and optimization.

• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and knowledge of distributed computing frameworks.

• Proficiency in statistics.

Other Requirements:

• Experience with large-scale data processing, data modeling, and feature extraction.

• Ability to collaborate with a diverse set of engineers and data scientists.

• Experience with one or more general purpose programming languages including but not limited to: Caffe and or TensorFlow, Pytorch, C#, C++, Python.

• Professional proficiency in English

Responsibilities:

• Experiment with, apply and benchmark new ML algorithms.

• Set up proof-of-concepts and bring those to product.

• Productize cutting-edge research.

• Deploy machine learning code in the cloud.

• Leverage machine learning techniques to build systems which process and derive insights from tons of data points every day.

Benefits:

• Paid time off

• Remote and flex working hours

• Additional perks

Education Requirements:

• Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent work experience)

Experience Requirements:

• Proven experience as a Backend Software Engineer or similar role, with a minimum of 3 years of experience in backend development.

• Strong proficiency in one or more programming languages commonly used for backend development (e.g., Python, C#, Node.js).

• Solid understanding of data structures, algorithms, and object-oriented design principles.

• Experience with relational and non-relational databases (e.g., MySQL, PostgreSQL, MongoDB).

• Familiarity with cloud platforms such as AWS and Google Cloud, and experience deploying and managing applications in cloud environments.

Other Requirements:

• Excellent problem-solving skills and attention to detail.

• Strong communication and collaboration skills, with the ability to work effectively in a fast-paced startup environment.

Responsibilities:

• Design scalable and robust backend architectures that support high-traffic applications and services.

• Write clean, efficient, and maintainable code in languages such as Python, C#, or Node.js, adhering to best practices and coding standards.

• Develop and optimize database schemas and queries for efficient data storage, retrieval, and manipulation.

• Build and maintain RESTful APIs for seamless communication between frontend applications and backend systems.

• Integrate third-party services, libraries, and APIs to enhance the functionality and performance of our applications.