Junior Machine learning engineer/software developer

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Job Overview

The Junior Machine Learning Engineer/Software Developer at SynergisticIT will play a pivotal role in assisting the development and implementation of machine learning models and algorithms. The successful candidate will work closely with senior engineers and data scientists to design, test, and deploy machine learning applications that enhance our software solutions. This position requires a practical understanding of software development processes and machine learning principles, contributing to innovative projects that leverage data-driven decision making.

Job Responsibilities

• Assist in the design, development, and optimization of machine learning models and algorithms.
• Collaborate with cross-functional teams to integrate machine learning solutions into existing software applications.
• Perform data preprocessing and data cleaning to prepare datasets for training purposes.
• Conduct experiments to evaluate model performance and analyze results for continuous improvement.
• Document processes, methodologies, and outcomes for future reference and compliance.
• Stay updated with the latest advancements in machine learning and AI technologies to propose innovative solutions.

Qualifications

• Bachelor's degree in Computer Science, Data Science, Machine Learning, or a related field.
• Hands-on experience with programming languages such as Python, Java, or R.
• Familiarity with libraries and frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Understanding of algorithms and statistical methods used in machine learning.
• Basic knowledge of databases and SQL for data manipulation.
• Strong problem-solving skills and the ability to work collaboratively in a team-oriented environment.

Technologies & Tools

The Junior Machine Learning Engineer/Software Developer will utilize a range of technologies and tools including but not limited to Python for programming, TensorFlow and PyTorch for machine learning frameworks, SQL databases for data management, and version control platforms like Git for collaborative project development. Familiarity with cloud services such as AWS or Azure may also be beneficial for deploying scalable solutions.

Ideal Candidates

The ideal candidate for this position will possess a genuine passion for machine learning and software development, demonstrated through academic projects or industry experience. They should exhibit a strong analytical mindset to tackle complex problems and a willingness to learn from more experienced team members. Effective communication skills are vital for collaborating with diverse teams, and a proactive attitude towards innovation will significantly contribute to success at SynergisticIT.