Advanced AI/ML Engineer for Large-Scale Platform Development
2 weeks ago
**Job Title:** Senior Artificial Intelligence/Machine Learning Engineer
**About the Role:**
We are seeking an experienced Senior AI/ML Engineer to lead the design and implementation of AI/ML platforms, focusing on automation of data pipelines, coding standards, and integration with full-stack applications.
**Key Responsibilities:**
- Platform Development: Lead the design and implementation of AI/ML platforms, focusing on automation of data pipelines, coding standards, and integration with full-stack applications.
- AI/ML Integration: Integrate advanced AI/ML solutions into client platforms, particularly those in the healthcare and life sciences sectors.
- Model Deployment: Build, deploy, and manage NLP systems and language models (LLMs), ensuring they meet enterprise standards for performance and scalability.
- Collaboration: Work closely with cross-functional teams to implement features, improve models, and deliver on project goals.
- Continuous Improvement: Proactively identify opportunities to enhance platform performance, model accuracy, and the overall AI/ML Technical & Industry Competencies:
**Requirements:**
- Python Expertise: Strong hands-on coding skills in Python, with a focus on AI/ML applications.
- Deep Learning Deployment: Proven experience deploying deep learning models in production, with a strong understanding of Transformer models such as BERT, GPT, CLIP, T5, etc.
- NLP Experience: At least 4+ years of experience building and deploying NLP systems, preferably within the healthcare or life sciences industry.
- ML Pipeline Implementation: Extensive experience in developing and deploying ML pipelines, including data preprocessing, model training, validation, deployment, and integration into enterprise systems.
- APIs & Frameworks: Proficient in using frameworks like Django, Flask for packaging NLP systems as APIs.
- Advanced Training Techniques: Expertise in deep learning training techniques such as few-shot learning, zero-shot learning, transfer learning, and federated learning.
**Nice-to-Have Competencies:**
- Enterprise Experience: Experience in deploying NLP/ML systems in large, complex organizations.
- Scalable ML Models: Knowledge of efficiently scaling ML model training and inferencing.
- Big Data Technologies: Familiarity with Big Data technologies such as Kafka, Spark, Hadoop, and Snowflake.
**Why BYTESPRINT TALENT SEARCH LLP?**
We are a leader in leveraging AI to unlock the value of data, particularly in the healthcare and life sciences industries. We are committed to innovation and helping organizations harness the power of AI/ML to drive business transformation.
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