Role overview
Must Have Technical/Functional Skills
Looking for an experienced AI Engineer (6–8 years) to design, develop, and deploy cutting-edge AI/ML solutions. The ideal candidate will have strong experience in machine learning, deep learning, data engineering, and building scalable AI systems for real-world applications.
Responsibilities
- Build and optimize ML/Deep Learning models for NLP, CV, and predictive analytics.
- Develop end to end AI pipelines including training, deployment, and monitoring.
- Deploy models using Docker/Kubernetes and cloud platforms (Azure/AWS/GCP).
- Work with large datasets and build data pipelines using Python, SQL, and Spark/Databricks.
- Implement MLOps practices (CI/CD, model tracking, monitoring).
- Collaborate with cross functional teams to translate business needs into AI solutions.
Technical Skills
- Programming Languages: Python (strong expertise), SQL
- ML/DL Frameworks: TensorFlow, PyTorch, Scikit-learn
- NLP/LLM Tools: Transformers, LangChain, OpenAI APIs
- Cloud Platforms: Azure/AWS/GCP (at least one required)
- MLOps: MLflow, Kubernetes, Docker, Git
- Big Data Tools: Spark, Hive, Databricks (preferred)
Experience
- 4–6 years of experience in AI/ML engineering roles.
- End-to-end experience from data preparation to model deployment.
- Building scalable production grade AI solutions.
Salary Range- $85,000-$105,000 a year
What you'll work on
- Build and optimize ML/Deep Learning models for NLP, CV, and predictive analytics.
- Develop end to end AI pipelines including training, deployment, and monitoring.
- Deploy models using Docker/Kubernetes and cloud platforms (Azure/AWS/GCP).
- Work with large datasets and build data pipelines using Python, SQL, and Spark/Databricks.
- Implement MLOps practices (CI/CD, model tracking, monitoring).
- Collaborate with cross functional teams to translate business needs into AI solutions.
Technical Skills
- Programming Languages: Python (strong expertise), SQL
- ML/DL Frameworks: TensorFlow, PyTorch, Scikit-learn
- NLP/LLM Tools: Transformers, LangChain, OpenAI APIs
- Cloud Platforms: Azure/AWS/GCP (at least one required)
- MLOps: MLflow, Kubernetes, Docker, Git
- Big Data Tools: Spark, Hive, Databricks (preferred)
What we're looking for
- 4–6 years of experience in AI/ML engineering roles.
- End-to-end experience from data preparation to model deployment.
- Building scalable production grade AI solutions.
Salary Range- $85,000-$105,000 a year
Tags & focus areas
Used for matching and alerts on DevFound Fulltime Ai Ai Engineer Machine Learning Deep Learning Mlops Pytorch Tensorflow Data Engineer