Machine Learning (Ml) Engineer (Health And Biosciences)

Job Summary:

We are seeking a highly skilled and motivated Machine Learning Engineer with Health and Biosciences experience to join our team. As a Machine Learning Engineer, you will be responsible for developing and implementing Machine Learning models and algorithms to solve complex industry business problems. You will work closely with cross-functional teams to gather requirements, analyze data, and deliver innovative solutions. This is an exciting opportunity to contribute to cutting-edge projects in the field of Machine Learning.

Job Duties:

- Develop and implement Machine Learning models and algorithms

- Collaborate with data scientists and software engineers to design and deploy scalable Machine Learning solutions

- Analyze large datasets to identify patterns, trends, and insights

- Optimize Machine Learning models for performance and accuracy

- Conduct experiments to evaluate the effectiveness of different algorithms and techniques

- Stay up-to-date with the latest advancements in Machine Learning and related fields

- Present findings and recommendations to stakeholders in a clear and concise manner

Ideal Background:

- Bachelor's or Master's degree in Computer Science, Data Science, or a related field

- Strong programming skills in languages such as Python, Java, or R

- Experience with data mining, analytics, and database design

- Proficiency in Machine Learning frameworks such as TensorFlow or PyTorch

- Familiarity with big data technologies such as Hadoop or Spark

- Knowledge of cloud platforms such as AWS or Azure

- Excellent problem-solving skills and attention to detail

If you are passionate about Machine Learning and want to work on cutting-edge Health and Bioscience projects, we would love to hear from you. Apply now to join our dynamic team of Bioscience Machine Learning Engineers.

Job Type: Full-time

Pay: $183,170.00 - $204,659.00 per year

Benefits:

• 401(k)
• Dental insurance

Ability to Relocate:

• New York, NY 10010: Relocate before starting work (Required)

Work Location: Hybrid remote in New York, NY 10010