Machine Learning Engineer

Redwood East Group; Indianapolis (IN); On-site; USD 100,000 - 136,000; Full time

Benefits offered by this job

Health insurance

401(k) match

Tuition reimbursement

Online courses/workshops

Job summary

Redwood East Group, a financial services company, is seeking a Machine Learning Engineer in Indianapolis, IN. You will develop and deploy machine learning models, optimize algorithms, and work with cross-functional teams to integrate ML solutions into existing systems.

The role requires a Master's degree in a related field, strong Python skills, and experience with TensorFlow, PyTorch, or scikit-learn. The salary range is $100,000 to $135,884 per year, with health insurance and a 401(k) match.

Qualifications

• Master's degree in Computer Science, Machine Learning, or related field.
• 2+ years of experience in machine learning and data science.
• Strong programming skills in Python.
• Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Knowledge of data visualization tools such as Matplotlib or Seaborn.
• Experience with cloud platforms such as AWS or GCP is a plus.

Responsibilities

• Develop and implement machine learning models to solve complex problems.
• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
• Conduct data analysis and feature engineering to improve model performance.
• Monitor and maintain machine learning models in production.
• Stay up-to-date with the latest advancements in machine learning and data science.
• Document and communicate technical solutions to stakeholders.

Skills

Python

Machine learning

Data analysis

Education

Master's degree in Computer Science, Machine Learning, or related field

Bachelor's degree in Computer Science, Statistics, Mathematics, or related field

Tools

TensorFlow

PyTorch

scikit-learn

Matplotlib

Seaborn

AWS

GCP

Job description

Redwood East Group, a prominent financial services company, seeks a Machine Learning Engineer in Indianapolis, IN. This full-time position involves creating and implementing machine learning models to address complex challenges and foster business expansion.

As a Machine Learning Engineer, you will develop and deploy machine learning models, optimize algorithms, and collaborate with cross-functional teams to integrate machine learning solutions into existing systems.

You will collaborate with a team of creative and forward-thinking professionals in a fast-paced and evolving workplace. Your contributions will play a crucial role in advancing the company's technological capabilities and delivering effective solutions to clients in Indianapolis, Indiana. This role offers the opportunity to engage with diverse projects and innovative ideas, fostering a culture of continuous learning and improvement. You will have the chance to work on cutting-edge technologies and contribute to the development of groundbreaking solutions that address real-world challenges. The dynamic environment encourages you to think outside the box, take initiative, and make a significant impact on the company's success and the clients it serves.

The salary range for this position is between $100,000 and $135,884 per year, providing a competitive compensation package. In addition to the base salary, employees are eligible for comprehensive health insurance plans that cover medical, dental, and vision care. The company also offers a robust retirement plan, including a 401(k) match, to help employees save for their future. Furthermore, professional development opportunities are available, such as tuition reimbursement and access to online courses and workshops, to help employees enhance their skills and advance their careers. These benefits aim to support the overall well-being and growth of the employees.

To excel in this role, you should have a Master's degree in Computer Science, Machine Learning, or a related field. Experience with Python, TensorFlow, and scikit-learn is required. Strong problem-solving skills and a passion for financial technology are essential.

What you will do:

1. Develop and implement machine learning models to solve complex problems
2. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions
3. Conduct data analysis and feature engineering to improve model performance
4. Monitor and maintain machine learning models in production
5. Stay up-to-date with the latest advancements in machine learning and data science
6. Document and communicate technical solutions to stakeholders

What we need:

1. Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field
2. 2+ years of experience in machine learning and data science
3. Strong programming skills in Python
4. Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn
5. Knowledge of data visualization tools such as Matplotlib or Seaborn
6. Experience with cloud platforms such as AWS or GCP is a plus