ML Engineer (Junior)

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Overview

As a Junior Machine Learning Engineer at SynergisticIT, you will be an integral part of our technology team, assisting in the development and implementation of machine learning models and algorithms that harness the power of data to drive business decisions and innovations. You will collaborate with cross-functional teams to gather data requirements and assist with model evaluation, performance tuning, and operational deployment, thereby contributing to our mission of creating efficient and scalable AI solutions.

Job Responsibilities

• Assist in designing and developing machine learning models to solve specific business problems.
• Work with data scientists to preprocess and analyze large datasets, ensuring data integrity and quality.
• Implement algorithms and solutions in a cloud-based environment to increase efficiency and scalability.
• Participate in model training, testing, and validation to ensure accuracy and effectiveness.
• Support ongoing monitoring and maintenance of machine learning models, optimizing for performance as necessary.
• Collaborate with software engineers to integrate models into existing systems and applications.
• Document processes, models, and outcomes to ensure reproducibility and clarity.

Qualifications

• Bachelor's degree in Computer Science, Data Science, Statistics, or a related field.
• Familiarity with machine learning frameworks such as TensorFlow, Keras, or PyTorch.
• Basic knowledge of programming languages such as Python or R.
• Understanding of data preprocessing techniques and statistical principles.
• Ability to work with databases and data manipulation tools (SQL, Pandas, etc.).
• Strong problem-solving skills with a keen attention to detail.
• Excellent communication skills to convey ideas effectively within team settings.

Technologies & Tools

The ideal candidate will work with a range of technologies and tools including Python for machine learning development, SQL for database management, and cloud platforms such as AWS or Azure for model deployment. Familiarity with version control systems like Git, and tools for data visualization like Tableau or Matplotlib will also be advantageous in this role.

Ideal Candidates

Successful candidates for this Junior Machine Learning Engineer position will possess a strong educational background in relevant fields and exhibit a genuine passion for machine learning technologies. They should demonstrate eagerness to learn and grow within a collaborative environment, showcasing excellent analytical and problem-solving capabilities. Adaptability to new challenges, alongside a proactive approach to seeking solutions, will make you a valued member of the SynergisticIT team.