Machine Learning Engineer

Reveal HealthTech is a dedicated healthcare life sciences focused technology services company – helping our clients with a range of AI and product engineering services. Reveal’s mission is to unleash the full potential of technology for our clients by prioritizing trust, agility, and expertise. We bring together domain understanding and engineering excellence to create meaningful products and platforms. Our multi-dimensional team is made up of industry experts, product designers and passionate software engineers located across the US and India.

If all of this resonates with you and building a business from 0 to 1 excites you, read on to the JD.

Requirements:
What do we need?

We are looking for a talented and passionate Machine Learning Engineer to join our growing team. As a Machine Learning Engineer at Reveal Health Tech, you will be responsible for developing, implementing, and deploying machine learning models and algorithms to help us tackle complex healthcare and lifesciences challenges. You will work closely with our cross-functional teams to gather requirements, design solutions, and ensure effective implementation to meet our clients' needs.

Responsibilities

As a Machine Learning Engineer, your key responsibilities would include:

• Data Exploration and Preprocessing: Work with large and complex healthcare datasets, cleaning and preprocessing the data 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 the performance of machine learning models and optimize them 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 their performance and effectiveness over time.
• Collaboration: Collaborate with data scientists, software engineers, and other cross-functional teams to understand requirements, facilitate data-driven decision making, and drive innovative solutions.
• Documentation: Document and communicate methodologies, algorithms, findings, and recommendations to technical and non-technical stakeholders.

Key Skills and Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field. Master's degree or higher is a plus.
• Proven experience as a Machine Learning Engineer or a similar role.
• Strong proficiency in machine learning techniques, algorithms, and frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Experience with healthcare data and healthcare 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 such as AWS or GCP is a plus.
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration abilities.

How you will enrich us?

• Energetic and enthusiastic
• Autonomous and self-motivated
• Growth mindset
• Embraces challenges
• Building new things gets your blood pumping!
• Curiosity and deep interest in the world
• Challenges the status quo constructively

Benefits:
What do you get in return?

• Be part of a growing/amazing team - A great opportunity to be part of 0-1 of a new age technology services & product engineering company in a risk adjusted environment with high upside for initial members.
• Trust over control - We believe in strong business fundamentals and possesses vision for scale from day 1. Truly, people are our greatest winners and we want to make sure your full potential is met in the job.
• Numerous on-the-job-and-beyond learning opportunities - We already have a curated list of courses you can dive right in!
• Industry best compensation and benefits

Next Steps

• Send us your updated CV - if you can mention how you have enriched your previous organisation in a cover letter, that would be great!
• If we find your profile suitable, we will have our Talent personnel to reach out to you to understand your profile/interests and how best we can mutually align.
• You would have a job-based interview and a leadership chat as the next rounds.
• Finally, you would have a case study based interview with our senior stakeholders.