Kaztronix has an exciting Remote opportunity with an outstanding organization. The Customer is on a mission to develop products and services for customers around the world to maximize their data. The candidates need to be eligible to work in the United States v
Machine Learning Engineer (Mid-Level)
Do you thrive on applying machine learning (Client) to solve real-world problems and build intelligent systems? Are you passionate about leveraging data to drive innovation and create impactful solutions?
. We are seeking a talented and motivated individual with a strong foundation in Client principles and proven experience in developing and deploying Client models.
In this role, you will:

• Design and implement Client pipelines: Work closely with data scientists and engineers to understand business needs, select appropriate Client algorithms, and develop robust data pipelines for model training and deployment.
• Train and optimize Client models: Utilize various Client techniques and tools to build, train, and evaluate high-performing models on diverse datasets. Fine-tune models for optimal performance and ensure generalizability.
• Deploy and integrate Client models: Integrate trained models into production environments, ensuring scalability and reliability. Monitor model performance and proactively address any issues.
• Collaborate with cross-functional teams: Work closely with data scientists, software engineers, and product managers to translate business requirements into technical solutions.
• Stay current with the latest advancements: Continuously learn and explore new Client techniques and tools to ensure you are at the forefront of the field.

• 3+ years of experience as a machine learning engineer or a related field
• Bachelor's Degree in Computer Science, Data Science or Machine Learning related field
• Strong understanding of machine learning concepts, including supervised and unsupervised learning, deep learning, and large language models
• Familiarity with common Client libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn)
• Experience with data preprocessing, feature engineering, and model evaluation
• Proficiency in programming languages (i.e. Python)
• Deep working with Client and data-driven environments and related technologies (i.e. , Vertex AI)
• Deep experience with SQL, NoSQL databases (i.e. MySQL, MongoDB, BigQuery)
• Good working knowledge of Cloud environments (i.e. AWS, GCP)
• Understanding of container and container orchestration (i.e. Kubernetes, Docker)
• Working knowledge with automation stacks (i.e Terraform)
• Excellent problem-solving, debugging and analytical skills
• Strong communication and collaboration skills
• passion for learning and staying up-to-date with the latest advancements in Data and Client.