Junior machine learning engineer/ data analyst/Java programmer

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Job Overview

SynergisticIT is seeking a motivated and analytical Junior Machine Learning Engineer/Data Analyst/Java Programmer to join our dynamic team. The successful candidate will play a pivotal role in the development and implementation of machine learning models, data analysis, and programming tasks. This position requires a detail-oriented mindset and a passion for leveraging technology to solve complex problems. The ideal candidate will collaborate with senior engineers, data scientists, and cross-functional teams to drive innovative solutions that contribute to our strategic goals.

Job Responsibilities

• Assist in the design, development, and deployment of machine learning models to support business objectives.
• Analyze datasets to extract actionable insights and trends for decision-making processes.
• Write clean, efficient, and well-documented code in Java to create software applications.
• Collaborate with senior data scientists and machine learning engineers on project requirements and design specifications.
• Conduct experiments to evaluate the performance of algorithms and models.
• Participate in code reviews and contribute to team knowledge sharing sessions.
• Maintain and update existing codebases to enhance performance and functionality.

Qualifications

• Bachelor’s degree in Computer Science, Data Science, Machine Learning, or a related field.
• Basic understanding of machine learning algorithms and data analysis techniques.
• Proficient in programming languages such as Java; knowledge of Python is a plus.
• Familiarity with data manipulation libraries (e.g., Pandas, NumPy) and machine learning frameworks (e.g., TensorFlow, scikit-learn).
• Strong analytical and problem-solving skills.
• Ability to work collaboratively in a team environment.
• Effective communication skills, both written and verbal.

Technologies & Tools

The Junior Machine Learning Engineer/Data Analyst/Java Programmer position at SynergisticIT utilizes various technologies and tools including Java for programming tasks, Python for data analysis and model building, databases such as SQL and NoSQL for data storage, and cloud platforms like AWS and Azure for deploying and managing applications. Knowledge of data visualization tools such as Tableau or Power BI is also beneficial in this role.

Ideal Candidates

The ideal candidate for this position will be a proactive learner with a strong passion for technology and data. They should exhibit curiosity and a desire to explore new methodologies and techniques in machine learning and data analysis. Additionally, a strong team player with excellent communication skills will thrive in our collaborative environment. A commitment to achieving high-quality results and the ability to adapt in a fast-paced setting are also essential attributes for success in this role.