What are the responsibilities and job description for the Machine Learning Engineer position at Diversify World?
Job Title: Machine Learning Engineer
Location: Austin, Texas (Remote/Hybrid Options Available)
Employment Type: Full-Time
Salary range: Senior-Level (6 years): $150,000 - $200,000 per year
About the Role
Diversify World is recruiting on behalf of a forward-thinking tech company renowned for innovation and cutting-edge solutions. This company is dedicated to leveraging technology to solve complex problems and transform industries. They are currently seeking a talented Machine Learning Engineer to join their team in Austin, Texas, with the flexibility to work remotely or in a hybrid capacity.
If you have a passion for machine learning, thrive in collaborative environments, and want to contribute to meaningful projects, this is an opportunity you won’t want to miss.
Key Responsibilities
- Design, develop, and deploy state-of-the-art machine learning models to solve business-critical problems.
- Preprocess, analyze, and manage large, complex datasets to derive actionable insights.
- Work closely with cross-functional teams, including data scientists, engineers, and product managers, to implement end-to-end ML solutions.
- Optimize machine learning models for performance, scalability, and accuracy in production environments.
- Develop and maintain APIs and data pipelines to integrate ML models into applications and systems.
- Monitor, evaluate, and improve the performance of deployed models.
- Stay up-to-date with the latest trends and advancements in machine learning and artificial intelligence.
- Document workflows, experiments, and results for reproducibility and knowledge sharing.
Ideal Candidate Profile
Essential Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field.
- Proven experience as a Machine Learning Engineer or similar role, with a strong portfolio of past work.
- Proficiency in Python or other programming languages like R or Java.
- Hands-on experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
- Strong understanding of ML algorithms, statistical modelling, and data preprocessing techniques.
- Experience with cloud platforms such as AWS, Google Cloud, or Azure for model deployment and scaling.
- Familiarity with data visualization tools like Pandas, Matplotlib, or Tableau.
- Excellent problem-solving skills and the ability to work independently.
Preferred Qualifications:
- Knowledge of advanced techniques in natural language processing (NLP) or computer vision.
- Experience with MLOps tools and practices for managing ML model lifecycles.
- Familiarity with distributed computing frameworks like Apache Spark.
- Strong communication skills and the ability to work effectively in a team-oriented environment.
What’s in It for You?
- Exciting Projects: Work on impactful, innovative projects that push the boundaries of technology.
- Flexibility: Remote or hybrid working options tailored to your preferences.
- Growth Opportunities: Continuous learning, career development, and skill-building opportunities.
- Diverse Culture: Join a company committed to fostering an inclusive and collaborative environment.
- Competitive Compensation: A market-leading salary, benefits, and bonus structure.
How to Apply
Diversify World is proud to support diversity and inclusion in the recruitment process. If you’re ready to bring your expertise in machine learning to a company that values innovation and impact, apply today!
Salary : $150,000 - $200,000
