
AI/Machine Learning Engineer
18 hours ago
About the Role:
We are seeking a highly skilled Senior AI/ML Engineer to lead our data science initiatives. As a key member of our team, you will be responsible for designing, developing, and deploying end-to-end AI/ML solutions that drive business value.
Key Responsibilities:
- Design and develop innovative AI/ML solutions using Python and ML frameworks such as PyTorch, TensorFlow, Scikit-learn, and Hugging Face.
- Lead projects involving large language models (LLMs), natural language processing (NLP), recommendation engines, and predictive modeling.
- Build, optimize, and maintain data pipelines and APIs for ML services, ensuring seamless integration with cloud platforms.
- Deploy and scale ML models on cloud platforms with containerization and CI/CD, utilizing tools like Docker and Kubernetes.
- Collaborate with cross-functional teams to deliver production-ready AI systems that meet business requirements.
- Ensure model performance, scalability, monitoring, and explainability through rigorous testing and evaluation.
Requirements:
- Bachelor's or Master's degree in Computer Science, Data Science, or related field.
- 5–6 years of hands-on experience in AI/ML and data science, with a strong focus on software development and engineering principles.
- Expertise in Python and ML frameworks, including practical experience with LLMs, embeddings, vector databases, and RAG pipelines.
- Proven background in recommendation systems, personalization, and predictive modeling, with a strong understanding of statistical analysis and machine learning concepts.
- Proficiency in SQL/NoSQL databases and data pipeline development, with knowledge of data warehousing and business intelligence tools.
- Familiarity with APIs & microservices, including FastAPI, Django REST, and Flask.
- Experience with cloud ML deployments on Azure, AWS, and GCP, with a strong understanding of cloud computing architectures and security best practices.
- Good knowledge of Docker, Kubernetes, Git, and CI/CD for production ML, with a focus on automation and DevOps principles.
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