Reveal HealthTech

About Company

Are you a skilled and passionate Machine Learning Engineer looking to make a meaningful impact in the healthcare and life sciences sector? Look no further! Join Reveal HealthTech, a leading technology services company dedicated to revolutionizing healthcare through AI and product engineering services.

About Reveal HealthTech

At Reveal HealthTech, our mission is to unleash the full potential of technology for our clients by prioritizing trust, agility, and expertise. We combine domain expertise with engineering excellence to create meaningful products and platforms. Our diverse team comprises industry experts, product designers, and passionate software engineers based in the US and India.

If this vision excites you and you are eager to contribute to building a business from the ground up, read on to discover more about this opportunity.

Job Title: Machine Learning Engineer

Requirements

We are seeking a talented and passionate Machine Learning Engineer to join our growing team. In this role, you will develop, implement, and deploy machine learning models and algorithms to tackle complex healthcare and life sciences challenges. Collaborate closely with cross-functional teams to gather requirements, design solutions, and ensure effective implementation to meet client needs.

Key Responsibilities

• Data Exploration and Preprocessing: Work with large and complex healthcare datasets, cleaning and preprocessing to ensure data quality for model training and evaluation.
• Model Development: Design, develop, and train machine learning models and algorithms using appropriate techniques and frameworks.
• Evaluation and Optimization: Evaluate model performance and optimize for better accuracy, reliability, and efficiency.
• Feature Engineering: Extract and engineer relevant features from healthcare data to enhance model performance and predictive power.
• Deployment and Integration: Deploy machine learning models and algorithms into production environments and integrate them with existing systems or workflows.
• Monitoring and Maintenance: Continuously monitor and maintain machine learning models to ensure performance and effectiveness.
• Collaboration: Work closely with data scientists, software engineers, and other cross-functional teams to understand requirements and drive innovative solutions.
• Documentation: Document and communicate methodologies, algorithms, findings, and recommendations to both technical and non-technical stakeholders.

Key Skills and Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field. A Master's degree or higher is a plus.
• Proven experience as a Machine Learning Engineer or similar role.
• Strong proficiency in machine learning techniques, algorithms, and frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Experience with healthcare data and domain knowledge is highly desirable.
• Proficiency in programming languages such as Python or R.
• Familiarity with data preprocessing techniques, feature engineering, and model evaluation methods.
• Experience with cloud platforms like AWS or GCP is a plus.
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration abilities.

Personal Attributes

• Energetic and enthusiastic.
• Autonomous and self-motivated.
• Growth mindset.
• Embraces challenges.
• A passion for building new things.
• Curiosity and deep interest in the world.
• Constructively challenges the status quo.

Benefits

• Join a growing and dynamic team, playing a pivotal role in a new-age technology services & product engineering company.
• Trust over control – We value strong business fundamentals and have a vision for scale from day one. We want you to reach your full potential.
• Numerous on-the-job and beyond learning opportunities, including a curated list of courses.
• Industry-best compensation and benefits.

Next Steps

• Submit your updated CV. Mention how you have enriched your previous organization in a cover letter.
• If your profile matches our needs, our Talent personnel will reach out to understand your profile and interests better.
• You will go through a job-based interview and a leadership chat in