Urgent! Reveal HealthTech - Machine Learning Engineer - Generative AI Job Opening In Bengaluru – Now Hiring Reveal Healthtech
<p><p><b>Description : </b><br/><br/>About the job<br/><br/>Thank you for considering the Machine Learning Engineer position at Reveal Health Tech.<br/><br/>We are an early-stage IT startup based in the US and India, focused on leveraging technology to deliver transformative healthcare solutions.<br/><br/>Location : Bengaluru, India<br/><br/><b>About The Applied AI Lab : </b><br/><br/>The Applied AI Lab is an internal R&D team at Reveal dedicated to identifying high-impact problems in healthcare, life sciences, and adjacent verticals - and transforming those insights into repeatable, IP-driven AI solutions.<br/><br/>We operate as a nimble product studio within the company : researching emerging technologies, rapidly prototyping AI and ML-powered tools, and building foundational infrastructure to support long-term product plays.<br/><br/>Our output ranges from sandbox-ready MVPs to reusable components and SaaS-aligned platforms.<br/><br/>Our team is multi-disciplinary - engineering, design, research, and business -and we work closely with client-facing and go-to-market teams to validate our ideas in the real world.<br/><br/><b>About The Role : </b><br/><br/>We're looking for a Machine Learning Engineer to join the Applied AI Lab and play a hands-on role in building intelligent, scalable, and production-minded ML systems.<br/><br/>You'll work at the intersection of rapid prototyping and product-minded MLcontributing to both short-cycle innovation and long-term platform stability.<br/><br/>This is an ideal opportunity for someone who enjoys wearing multiple hats, thrives in fast-moving environments, and is excited about shaping how AI can drive meaningful change in healthcare and life sciences.<br/><br/><b>Key Responsibilities : </b><br/><br/>- Contribute to solving business problems with cutting-edge AI solutions and innovate on ways to improve cost-efficiency and reliability of those solutions<br/><br/>- Collaborate with Lab lead, product designers, researchers, and architects to scope MVPs and define core capabilities.<br/><br/>- Build modular, reusable components for GenAI solutions or traditional ML model training, evaluation, and deployment<br/><br/>- Design and develop AI tools that can be called via API or through batch transformations for large datasets.<br/><br/>- Implement end-to-end solutions for batch and real-time algorithms along with tooling around monitoring, logging, automated testing, and performance testing.<br/><br/>- Develop production-grade solutions following software engineering best practices<br/><br/>- Support experimentation, A/B testing, and fine-tuning cycles with the team<br/><br/>- Research and stay up-to-date on the latest advancements in generative AI technologies and methodologies.<br/><br/>- Document architectures, processes, and technical : </b></p><br/>Please note that while you do not need to be an expert in every area, being familiar with most of the following is important.<br/><br/>We are looking for someone who can effectively integrate everything, with team support to fill any gaps.<br/><br/>- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.<br/><br/>- 5+ years of experience in a similar AI/ML engineer role.<br/><br/>- Strong knowledge of Python, SQL, and additional data processing languages.<br/><br/>- Proficiency in basic machine learning concepts and methods, especially those related to GenAI and NLP.<br/><br/>- Experience using open-source LLMs.<br/><br/>- Proficiency in software engineering fundamentals (unit testing, modular code development, CI/CD, etc.)<br/><br/>- Proficiency in core ML/AI frameworks (e.g. scikit-learn, PyTorch, TensorFlow, HuggingFace)<br/><br/>- Familiarity with cloud-based tools (AWS and Azure), containerization (Docker), and version control (Git)<br/><br/>- Experience with ETL tools (e.g., Apache Spark, Airflow), Pyspark, data modeling/warehousing and CI/CD tools is a plus.<br/><br/>- Experience with vector embeddings, multimodal data, or agentic workflows<br/><br/>- Knowledge of LLM fine-tuning, RAG pipelines, and/or hybrid retrieval techniques<br/><br/>- Exposure to healthcare or life science datasets (EHR, claims, clinical trials, etc.)<br/><br/>- Experience working in startup or lab-like R&D environments<br/><br/>- Strong communication skills and comfort working in cross-functional teams<br/></p><br/></p> (ref:hirist.tech)
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Unlock Your Reveal HealthTech Potential: Insight & Career Growth Guide
Real-time Reveal HealthTech Jobs Trends in Bengaluru, India (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Reveal HealthTech in Bengaluru, India using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 575 jobs in India and 20 jobs in Bengaluru. This comprehensive analysis highlights market share and opportunities for professionals in Reveal HealthTech roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Reveal Healthtech is currently hiring and seeking a Reveal HealthTech Machine Learning Engineer Generative AI to join their team. Feel free to download the job details.
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The fundamental ethical values are:The average salary range for a Reveal HealthTech Machine Learning Engineer Generative AI Jobs India varies, but the pay scale is rated "Standard" in Bengaluru. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Reveal HealthTech Machine Learning Engineer Generative AI typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Before the Interview:To prepare for your Reveal HealthTech Machine Learning Engineer Generative AI interview at Reveal Healthtech, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Reveal Healthtech's products or services and be prepared to discuss how you can contribute to their success.
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