AI/ML Engineer

2 weeks ago

India Neuralbits Technologies Full time

Job Title: AI Engineer

Location: Mumbai

Company: NeuralBits Technologies

Domain : Healthcare Technologies

About Us: NeuralBits Technologies is a leader in Healthcare Technology, dedicated to revolutionizing the way healthcare data is utilized to improve patient outcomes and enhance medical practices. Our innovative solutions leverage advanced artificial intelligence to provide actionable insights, predictive analytics, and personalized care. We are seeking an AI Engineer to join our team and drive the development of AI-powered products that transform healthcare delivery.

Job Summary: We are looking for an experienced AI Engineer with expertise in LangChain, Bedrock, vector databases, and fine-tuning of large language models (LLMs) such as LLaMA. The ideal candidate will have a strong background in both AI and healthcare technology, with hands-on experience in developing AI systems that harness healthcare data for impactful applications. As an AI Engineer at NeuralBits Technologies, you will work on cutting-edge projects to improve healthcare delivery and patient care.

Requirements:

  • Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Biomedical Engineering, or a related field. PhD is a plus.
  • Experience: Proven experience in developing and deploying AI solutions for healthcare applications, with a strong portfolio of relevant projects.
  • Technical Skills:
  • Proficiency in programming languages such as Python or R.
  • Experience with LangChain and Bedrock frameworks.
  • Hands-on experience with vector databases (e.g., Pinecone, FAISS).
  • Expertise in fine-tuning LLaMA or other large language models (LLMs).
  • Familiarity with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch).
  • Domain Knowledge: Understanding of healthcare data types, clinical workflows, and regulatory environments (e.g., HIPAA) is preferred.
  • Analytical Skills: Strong problem-solving abilities and a knack for tackling complex technical challenges.
  • Communication: Excellent verbal and written communication skills, with the ability to explain complex AI concepts to both technical and non-technical stakeholders.
  • Teamwork: Ability to collaborate effectively in a multidisciplinary team environment.

Key Responsibilities:

  • Model Development: Design, develop, and fine-tune large language models (LLMs) such as LLaMA to address specific healthcare challenges, including clinical decision support, medical text processing, and patient interaction.
  • LangChain and Bedrock Integration: Utilize LangChain and Bedrock frameworks to build and optimize AI-driven applications, enhancing the functionality and performance of healthcare-related solutions.
  • Vector Database Management: Implement and manage vector databases to efficiently handle and query large volumes of healthcare data, ensuring fast and accurate retrieval of relevant information.
  • Data Analysis and Integration: Analyze and preprocess diverse healthcare datasets, including electronic health records (EHRs), medical imaging data, and patient notes, to support model training and deployment.
  • Algorithm Optimization: Optimize AI algorithms and models for healthcare-specific applications, focusing on accuracy, efficiency, and interoperability.

What We Offer:

  • Impactful Work: Contribute to innovative projects that directly improve healthcare delivery and patient outcomes.
  • Professional Growth: Opportunities for continuous learning, professional development, and career advancement.
  • Collaborative Culture: Join a forward-thinking team that values collaboration, creativity, and diversity.
  • Competitive Compensation: Attractive salary and comprehensive benefits package, including health insurance, retirement plans, and more.

Job Types: Full-time, Permanent

Benefits:

  • Commuter assistance
  • Flexible schedule
  • Health insurance

Schedule:

  • Day shift

Supplemental Pay:

  • Performance bonus

Education:

  • Bachelor's/Master's (Preferred)

Experience:

  • total work: 1 year (Preferred)

Work Location: In person

Salary Range : 65,000-85,000 (per month)

Expected Start Date: 15/12/2024

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