AI Development Manager

7 godzin temu

Warszawa, Mazovia, Polska Square One Resources Sp. z o.o. Pełny etat

At Square One Resources Sp. z o.o., we are at the forefront of emerging technologies, constantly exploring new possibilities to drive business growth.

Rapidly developing and testing concepts is an integral part of our innovation process, allowing us to stay ahead in fields like Artificial Intelligence, Blockchain, Internet of Things, Robotics, Virtual Reality, and Augmented Reality.

We create prototypes, demos, and valuable learnings that enable our teams and clients to make informed decisions about applying and investing in these technologies.

The majority of resources are dedicated to furthering our AI strategy across the firm by supporting the development of assets such as plugins. We also have ongoing AI R&D initiatives that we leverage some roles to continue driving forward.

This position offers a unique opportunity to design, develop, and operationally implement machine learning projects, requiring a combination of engineering, automation, and data science skills for scalable ML solutions.

Job Description
  • Senior MLOps Engineer - US AI Services

  • Your responsibilities will include designing, developing, and implementing machine learning projects, leveraging your expertise in programming languages like Python, GO, or similar.

  • You will work with one or more cloud computing platforms (Azure preferred, AWS, GCP), architecting and implementing end-to-end operations for machine learning projects.

  • Key aspects of this role include designing and implementing CI/CD/CL pipelines for machine learning projects, hands-on experience with serverless functions, and DevOps tools for building and automating pipelines.

  • Familiarity with containers (Docker) and their orchestrations (Kubernetes), as well as Infrastructure as Code (Terraform is a plus).

  • Proficiency in RDBMS/NoSQL data stores and appropriate use cases, machine learning libraries such as scikit-learn, TensorFlow, Keras, PyTorch, and Spark MLlib (a big plus).

  • Experience with orchestrated Large Language Model (LLM) applications and ability to create and deploy technology prototypes and machine learning models for business applications (a plus).

  • Effective communication skills to present technical solutions to business audiences and interest/knowledge in emerging technologies (a plus).

  • Previous experience in an innovation lab or similar environment is advantageous.

Aims and Responsibilities

  • This role focuses on machine learning infrastructure, ensuring scalability and efficiency.

  • The Senior MLOps Engineer will be responsible for designing, developing, and operationalizing machine learning projects.

  • This involves working closely with cross-functional teams to ensure seamless integration and deployment of machine learning models.

  • Additionally, the role requires staying up-to-date with industry trends, best practices, and advancements in machine learning technologies.

Requirements

  • Proven experience in programming languages such as Python, GO, or similar.

  • Hands-on experience with one or more cloud computing platforms (Azure preferred, AWS, GCP).

  • Extensive experience in architecting and implementing end-to-end operations for machine learning projects.

  • Proven experience in designing and implementing CI/CD/CL pipelines for machine learning projects.

  • Hands-on experience with serverless functions and DevOps tools for building and automating pipelines.

  • Experience with containers (Docker) and their orchestrations (Kubernetes).

  • Experience with Infrastructure as Code. Terraform is a plus.

  • Proficiency in RDBMS/NoSQL data stores and appropriate use cases.

  • Proficiency in machine learning libraries such as scikit-learn, TensorFlow, Keras, PyTorch, and Spark MLlib is a big plus.

  • Experience with orchestrated Large Language Model (LLM) applications is a plus.

  • Ability to create and deploy technology prototypes and machine learning models for business applications is a plus.

  • Experience with rapid prototyping and agile methodologies.

  • Effective communication skills to present technical solutions to business audiences.

  • Interest and knowledge in emerging technologies is a plus.

  • Previous experience in an innovation lab or similar environment is advantageous.

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