AI ML Engineer
- Posted 5 hours ago
- Be among the first 10 applicants
Job Description
Job Description:
- We are seeking a skilled AI ML Engineer with 2 5 years of experience in designing developing and deploying Machine Learning and Artificial Intelligence solutions
- The ideal candidate should have hands on experience in building predictive models data processing pipelines deep learning frameworks and deploying AI solutions in production environments
Key Responsibilities:
- Design develop train and optimize Machine Learning and Deep Learning models
- Analyze structured and unstructured datasets to identify business insights and opportunities
- Build and maintain data pipelines for model training and inference
- Develop AI solutions using NLP Computer Vision Recommendation Systems or Predictive Analytics
- Deploy ML models using cloud platforms and MLOps best practices
- Perform feature engineering model evaluation hyperparameter tuning and performance optimization
- Collaborate with Data Scientists Software Engineers and business stakeholders
- Monitor model performance and retrain models as required
- Document model architecture experiments and deployment processes
Technical Requirements:
- Strong programming skills in Python
- Experience with Machine Learning libraries such as Scikit learn XGBoost TensorFlow Keras or PyTorch
- Good understanding of Supervised Unsupervised Learning Deep Learning NLP and Computer Vision
- Experience with data analysis tools like Pandas NumPy Matplotlib
- Knowledge of SQL and working with large datasets
- Experience with REST APIs and model deployment
- Familiarity with Git version control
Additional Responsibilities:
- Exposure to Generative AI LLMs LangChain RAG Vector Databases Pinecone ChromaDB FAISS
- Experience with cloud platforms such as AWS Azure or GCP
- Knowledge of Docker Kubernetes CI CD and MLOps tools
- Familiarity with MLflow Airflow or Kubeflow
- Experience with prompt engineering and AI agent frameworks




