Join Reveal HealthTech as a Staff Machine Learning Engineer

Reveal HealthTech is a cutting-edge technology services company focused on healthcare life sciences, providing exceptional AI and product engineering services to our clients. Our mission is to unlock the full potential of technology with a foundation of trust, agility, and expertise. By combining domain knowledge with engineering excellence, we create impactful products and platforms. Our diverse team comprises industry experts, product designers, and passionate software engineers located across the US and India. If you are excited about building a business from the ground up, keep reading to learn more about this opportunity.

Job Description

What We Need

We are seeking a talented and passionate Staff Machine Learning Engineer to join our expanding team. As a technical lead, you will architect, develop, and deploy state-of-the-art machine learning solutions. Your expertise in NLP, LLMs, and Generative AI will be pivotal for product success. You will closely collaborate with cross-functional teams to gather requirements, design innovative solutions, and ensure effective implementation to meet our clients' needs.

Key Responsibilities

• Data Exploration and Preprocessing: Handle large and complex healthcare and life-sciences datasets, ensuring data quality for model training and evaluation.
• Model Development: Design, develop, and train machine learning models using suitable techniques and frameworks.
• Evaluation and Optimization: Assess the performance of machine learning models and optimize them for enhanced accuracy, reliability, and efficiency.
• Feature Engineering: Extract and engineer relevant features from healthcare and life-sciences data to boost model performance and predictive power.
• Deployment and Integration: Implement machine learning models in production environments, integrating them with existing systems or workflows.
• Monitoring and Maintenance: Continuously monitor and maintain machine learning models to ensure their ongoing performance and effectiveness.
• Collaboration: Work with data scientists, software engineers, and other cross-functional teams to understand requirements and drive data-driven decision making and 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 preferred.
• Experience leading a product team of Machine Learning Engineers, Software Engineers, and Data Scientists.
• Proven experience as a Machine Learning Engineer or in a similar role, with strong proficiency in machine learning techniques, algorithms, and frameworks like TensorFlow, PyTorch, or scikit-learn.
• Proficiency in programming languages such as Python or R.
• Expertise in developing and deploying NLP models.
• Ability to fine-tune and customize LLMs for specific applications.
• Hands-on experience with generative AI techniques and frameworks.
• Proven experience in scaling products from prototype to production.
• Experience with AWS cloud platform is required; experience with GCP is a plus.
• Strong problem-solving and analytical skills.
• Excellent communication, organization, and collaboration abilities.
• Experience with life-sciences or healthcare data is a plus.

How You Will Enrich Us

• Energetic and enthusiastic
• Autonomous and self-motivated
• Growth mindset
• Embracing challenges
• Passion for building new technologies
• Curiosity and deep interest in the field
• Constructive challenger of the status quo

Benefits

• Be part of an amazing and growing team, integral to the development of a new age technology services and product engineering company, all in a risk-adjusted environment with high upside for initial members.
• Trust over control: We believe in solid business fundamentals and vision for scale from day one. Our greatest asset is our people, and we are committed to helping you unlock your full potential.
• Numerous learning opportunities on and beyond the job: We have a curated list of courses ready for you to dive into!
• Comprehensive benefits: We aim to build a long-term career path