Machine Learning Engineer

Job Title: Machine Learning Engineer

Location: Raleigh, North Carolina (Remote/Hybrid Options Available)

Employment Type: Full-Time

Salary Range: Senior-Level (6 years): $130,000 - $175,000 per year

About the Role

Diversify World is recruiting on behalf of a dynamic tech company that thrives on innovation and is committed to harnessing the power of technology to tackle complex challenges. This organization, based in Raleigh, NC, is on the lookout for a skilled Machine Learning Engineer to join their team. The role offers flexibility with remote or hybrid working options.

If you’re passionate about creating cutting-edge machine learning solutions, enjoy collaborating with cross-functional teams, and want to make a tangible impact, this opportunity could be the perfect match.

Key Responsibilities

• Develop, train, and deploy robust machine learning models to address business-critical challenges.
• Analyze and preprocess large-scale datasets to ensure quality and actionable insights.
• Collaborate with data scientists, software engineers, and product managers to design and implement end-to-end machine learning pipelines.
• Optimize model performance, scalability, and reliability in production environments.
• Build and maintain APIs and data pipelines to integrate ML models into various applications and systems.
• Regularly evaluate the performance of deployed models, implementing improvements as needed.
• Keep up-to-date with the latest advancements in machine learning and AI to enhance the team's capabilities.
• Document processes, methodologies, and results to ensure reproducibility and team knowledge sharing.

Ideal Candidate Profile

Essential Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or a related field.
• Proven track record as a Machine Learning Engineer, showcasing a strong portfolio of relevant work.
• Proficiency in programming languages such as Python (preferred), R, or Java.
• Experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Strong understanding of ML algorithms, statistical modeling, and data wrangling techniques.
• Hands-on experience with cloud platforms (e.g., AWS, Google Cloud, Azure) for deploying and scaling models.
• Knowledge of data visualization tools such as Matplotlib, Seaborn, or Tableau.
• Exceptional analytical and problem-solving skills, with the ability to work independently and as part of a team.

Preferred Qualifications:

• Expertise in advanced fields like natural language processing (NLP) or computer vision.
• Familiarity with MLOps tools and practices for managing machine learning pipelines.
• Experience with distributed computing frameworks like Apache Spark.
• Strong written and verbal communication skills to effectively convey technical concepts to diverse audiences.

What’s in It for You?

• Innovative Projects: Engage in groundbreaking projects that redefine industries.
• Work-Life Balance: Flexible remote or hybrid working options to fit your lifestyle.
• Professional Growth: Opportunities for career advancement, skill development, and continuous learning.
• Inclusive Environment: Join a company that champions diversity, equity, and collaboration.
• Competitive Package: Market-leading salary, comprehensive benefits, and performance bonuses.

How to Apply

Diversify World is committed to promoting diversity and inclusion in the recruitment process. If you’re eager to contribute your machine learning expertise to a forward-thinking organization, we’d love to hear from you. Apply today and be part of a team that values your impact!