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Machine Learning Engineer

Thank you for considering the Machine Learning Engineer position at Reveal Health Tech. We are an early-stage IT startup based in the US and India, focused on leveraging technology to deliver transformative healthcare solutions.

Location: Bengaluru, India

ABOUT THE ROLE

As a skilled Machine Learning Engineer specializing in GenAI and NLP, you will work with a cross functional team responsible for the continued development and scaling of a high-profile Gen AI product at a large biotechnology company. Working with the team you will design, prototype, develop, and optimize AI solutions in support of new feature development and refinement of existing workflows.  

Key Responsibilities:

  • Contribute to solving business problems with cutting-edge AI solutions and innovate on ways to improve cost-efficiency and reliability of those solutions 
  • Collaborate with cross-functional teams to gather requirements and ensure seamless integration with the rest of the ecosystem. 
  • Focus on practical AI challenges such as improving reasoning and evaluation in real-world scenarios. 
  • Research and stay up-to-date on the latest advancements in generative AI technologies and methodologies. 
  • Document architectures, processes, and technical decisions. 
  • Experience scaling user-interactive RAG solutions to operate quickly on millions of documents. 
  • Design and develop AI tools that can be called via API or through batch transformations for large datasets. 
  • Implement end-to-end solutions for batch and real-time algorithms along with tooling around monitoring, logging, automated testing, and performance testing.  

Desired Qualifications 

Please note that while you do not need to be an expert in every area, being familiar with most of the following is important. We are looking for someone who can effectively integrate everything, with team support to fill any gaps.  

  • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field. 
  • 5+ years of experience in a similar AI/ML engineer role.
  • Proficiency in basic machine learning concepts and methods, especially those related to GenAI and NLP.
  • Strong knowledge of ML/Gen AI services and libraries, such as AWS SageMaker, AWS Bedrock, PyTorch.
  • Experience using opensource LLMs.
  • Strong knowledge of Python, SQL, and additional data processing languages. 
  • Experience in AWS (e.g., EC2, Lambda, RDS) for data processing and back-end applications. 
  • Experience with ETL tools (e.g., Apache Spark, Airflow), Pyspark, data modeling/warehousing and CI/CD tools is a plus. 

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

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 possess 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 align mutually.
  • Finally, you would have a chat with our founder to understand more about us and see if this is the right next career move!

Average salary estimate

$135000 / YEARLY (est.)
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$120000K
$150000K

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What You Should Know About Machine Learning Engineer, Reveal Health Tech

Thank you for considering the Machine Learning Engineer position at Reveal Health Tech! We’re an innovative early-stage IT startup dedicated to transforming healthcare solutions with cutting-edge technology. As a Machine Learning Engineer specializing in GenAI and NLP, you'll be at the forefront of developing and scaling our high-profile Gen AI product in collaboration with a talented cross-functional team. Your responsibilities will include designing, prototyping, and optimizing AI solutions that solve real-world business problems while enhancing cost efficiency and reliability. You’ll be involved in gathering requirements for seamless integration and tackling practical AI challenges to improve reasoning capabilities. Staying updated on advancements in generative AI is paramount, and you’ll also be responsible for documenting processes and technical decisions. With your experience in scaling user-interactive RAG solutions and developing AI tools for API calls or batch transformations, you’ll play a crucial role in implementing end-to-end solutions for both batch and real-time algorithms. We’re seeking candidates with a Bachelor’s or Master’s degree, ideally with over 5 years in a related AI/ML role, skilled in ML concepts, GenAI and NLP services, Python, SQL, and AWS. At Reveal Health Tech, your energetic and growth-oriented mindset will thrive, and you'll have numerous opportunities for personal and professional development. Join us in building an amazing future in tech that transforms healthcare for everyone!

Frequently Asked Questions (FAQs) for Machine Learning Engineer Role at Reveal Health Tech
What are the main responsibilities of the Machine Learning Engineer at Reveal Health Tech?

The Machine Learning Engineer at Reveal Health Tech will design, prototype, develop, and optimize AI solutions, focus on practical AI challenges, collaborate with cross-functional teams, and document architectures and technical decisions. This role emphasizes solving business problems through innovative AI methodologies.

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What qualifications are required for the Machine Learning Engineer position at Reveal Health Tech?

Candidates for the Machine Learning Engineer position at Reveal Health Tech should possess a Bachelor’s or Master’s degree in Computer Science or a related field along with over 5 years of experience in AI/ML roles, including a strong foundation in GenAI and NLP, proficiency in Python and SQL, and familiarity with AWS services.

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How does a Machine Learning Engineer contribute to the GenAI product at Reveal Health Tech?

The Machine Learning Engineer contributes to the GenAI product by developing and scaling AI solutions that enhance the product’s reliability and performance while tackling real-world business problems, ultimately improving the efficiency of healthcare solutions implemented by Reveal Health Tech.

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What tools and technologies does a Machine Learning Engineer use at Reveal Health Tech?

At Reveal Health Tech, the Machine Learning Engineer will utilize tools like AWS SageMaker, PyTorch, and open-source LLMs, as well as work with data processing languages and ETL tools such as Apache Spark and Airflow to effectively develop AI solutions.

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What are the opportunities for growth for a Machine Learning Engineer at Reveal Health Tech?

The Machine Learning Engineer at Reveal Health Tech will enjoy numerous on-the-job learning opportunities, mentorship from experienced colleagues, and the chance to be part of a dynamic team contributing to innovative solutions in a rapidly evolving industry.

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Common Interview Questions for Machine Learning Engineer
What machine learning projects have you worked on?

When answering this question, discuss specific projects you've worked on, highlighting the goals, technologies used, and your contributions. Detail how you implemented machine learning solutions and any challenges faced, showcasing your problem-solving skills.

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Can you explain your experience with GenAI and NLP?

In answering this question, share specific examples of projects or tasks where you've leveraged GenAI and NLP technologies. Discuss techniques you utilized, your role in the projects, and how these technologies impacted the results.

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How do you approach the design and development of an AI solution?

Provide a structured approach to designing AI solutions, including the steps you take from requirement gathering and prototyping to testing and deployment. Emphasize your ability to work collaboratively with teams to meet end-user needs.

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How do you keep up with advancements in AI technology?

Mention specific resources such as online courses, workshops, and journals that you follow to stay updated on the latest developments in AI technologies. Share how you apply these advancements to your work.

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Describe your experience with AWS services.

Detail your familiarity with various AWS services, explaining how you've used them in past projects. Discuss particular tools such as EC2, Lambda, or RDS, and provide examples of how they contributed to your machine learning solutions.

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How do you ensure the reliability of machine learning models?

Talk about the techniques you employ for testing and validating machine learning models, including methodologies for performance evaluation and error analysis. Emphasize the importance of continuous monitoring and iterating on models.

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Can you discuss your experience with ETL tools and data preprocessing?

Explain your knowledge of ETL tools like Apache Spark or Airflow, providing examples of how you've used these tools for data preprocessing and cleaning, which is crucial for effective machine learning model performance.

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How do you handle large datasets in machine learning projects?

Discuss strategies for effectively managing and processing large datasets, such as using scalable cloud infrastructure, distributed computing, or data partitioning techniques to optimize performance.

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What factors do you consider when assessing a machine learning model's success?

Identify key performance indicators such as accuracy, precision, recall, and F1 score. Explain how you prioritize these metrics based on the project's goals and ensure that the model aligns with business objectives.

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Why do you want to work as a Machine Learning Engineer at Reveal Health Tech?

Express your enthusiasm for the innovative work being done at Reveal Health Tech and mention specific aspects of the company's mission or projects that resonate with you. Show how your values align with the company culture and vision.

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We are on a mission to help reveal the transformative potential of technology in delivering healthcare. We understand that technology is an enabler, when applied in the right ways. Leverage technology in the smartest way possible to meet your pati...

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DATE POSTED
March 12, 2025

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