700Apps is looking for a talented Machine Learning Engineer to join their innovative team.
In this role, you will be responsible for designing, building, and deploying machine learning models that address real-world challenges.
You will collaborate with data scientists and software engineers to integrate machine learning algorithms into applications and ensure that the solutions are scalable and efficient.
Key responsibilities include designing and implementing machine learning models aimed at solving complex business problems.
You will work with data engineers to preprocess and clean datasets, ensuring high-quality data for model training.
Collaboration with cross-functional teams, including data scientists and software developers, is essential to integrate machine learning models into production systems.
You will monitor and optimize the performance of machine learning models, making improvements as needed.
Maintaining comprehensive documentation of model development processes, methodologies, and evaluations is required.
Staying updated on emerging trends in AI and machine learning, implementing new techniques and tools to improve capabilities is part of the role.
You will clearly communicate findings and solutions to stakeholders, providing insights into model performance and implications for the business.
Requirements:
A Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field is required.
You must have 3+ years of experience in machine learning model development and deployment.
Strong proficiency in programming languages such as Python or Java is necessary, with experience using libraries like TensorFlow, Keras, or PyTorch.
Experience with data preprocessing, feature selection, and model evaluation techniques is essential.
Familiarity with cloud platforms (e.g., AWS, Azure, GCP) for deploying machine learning solutions is required.
A solid understanding of machine learning concepts, algorithms, and best practices is necessary.
Excellent analytical and problem-solving abilities are required.
Strong communication skills are needed to effectively work with cross-functional teams and present technical information to non-technical stakeholders.
Benefits:
The position offers Private Health Insurance.
There are opportunities for Training & Development.
An Attractive Salary is provided.
Social Insurance is included as part of the benefits.