“Simplify Healthcare” Openings for Machine Learning Engineer

Job Role: Machine Learning Engineer

Eligibility: Graduate

Experience: 2 Years

Job Location: Pune

Company Profile:

Simplify Healthcare powers connected benefits and provider journeys for Payers through a scalable, enterprise-grade, secure, compliant, and configurable cloud based software platform.

Responsibilities:

• Design, build, and deploy advanced machine learning models and algorithms to solve complex problems in various domains, such as natural language processing, computer vision, and predictive analytics.
• Collaborate closely with cross-functional teams, including data scientists, engineers, and product managers, to identify opportunities for leveraging company data to improve business outcomes.
• Perform data mining and feature extraction using advanced statistical and machine learning techniques.
• Evaluate and validate the performance of machine learning models using appropriate metrics and techniques.
• Optimize and fine-tune machine learning models for optimal performance in production environments.
• Stay up-to-date with the latest advancements in machine learning and artificial intelligence research.
• Contribute to the development of best practices in machine learning and share knowledge with peers and junior team members.
• Provide technical leadership and mentoring to other team members as needed

Required Skills:

• Strong understanding of various machine learning algorithms, such as linear regression, logistic regression, decision trees, Support Vector Machine (SVM), neural networks, ensemble methods, and reinforcement learning.
• Demonstrated experience in working with large datasets and using big data technologies, such as Hadoop, Spark, and distributed computing.
• Proficient in programming languages, such as Python.
• Experience with machine learning frameworks and libraries, such as TensorFlow, Keras, PyTorch, or Scikit-learn.
• Familiarity with data visualization tools, such as Tableau, Matplotlib, or D3.js.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills, with the ability to explain complex concepts to both technical and non-technical stakeholders.

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