Why This Role Stands Out
This hybrid AI/ML Engineer role offers a fantastic opportunity to develop cutting-edge AI solutions within a reputable health tech company, perfect for early-career professionals eager to expand their skills in model development and deployment. You'll collaborate with a dynamic team on impactful projects, honing your expertise in Python, deep learning, and MLOps.
Quick Overview
Job Description
AI/ML Engineer
About the Role
We are looking for an AI/ML Engineer to develop and deploy machine learning and AI solutions for real-world applications. This role is open to talented Entry Level Candidates and early-career professionals with strong technical skills and hands-on AI/ML experience.
Responsibilities
- Design, develop, train, and evaluate machine learning models.
- Work with structured and unstructured datasets.
- Build and optimize AI/ML pipelines.
- Develop and integrate ML models into production applications.
- Perform data preprocessing, feature engineering, and model optimization.
- Collaborate with software engineers, data scientists, and product teams.
- Monitor model performance and troubleshoot ML systems.
- Write clean, scalable, and maintainable Python code.
- Research and implement modern AI/ML techniques.
Required Skills
- Python
- Machine Learning
- Deep Learning
- NumPy & Pandas
- Scikit-learn
- SQL
- Data Structures & Algorithms
- Git / GitHub
- ML model training, evaluation, and optimization
- Strong problem-solving skills
Preferred Skills
- PyTorch / TensorFlow
- NLP / Computer Vision
- Generative AI / LLMs
- Hugging Face
- LangChain
- RAG
- OpenAI APIs
- AWS / Azure / Google Cloud Platform
- Docker
- MLOps
- REST APIs
Education
Master's degree in: Computer Science, Artificial Intelligence, Machine Learning, Data Science, Software Engineering, Information Technology, or a related field.
Candidate Requirements
- s and candidates with 1-3 years of experience can apply.
- Currently living in the USA.
- Candidates with relevant US work authorization, including OPT/CPT, STEM OPT, H-1B, or other eligible authorization.
- Candidates with internships, projects, academic experience, or professional experience in AI/ML.
- Open to Work / actively seeking opportunities.
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