- Key Responsibilities
- Design develop and deploy machine learning and AI models
- Build and maintain data pipelines for training and inference
- Work on supervised and unsupervised learning algorithms
- Implement NLP Computer Vision or Deep Learning solutions
- Optimize models for performance scalability and accuracy
- Collaborate with data engineers analysts and product teams
- Deploy models using cloud platforms AWS Azure GCP
- Monitor model performance and perform continuous improvements
- Conduct data preprocessing feature engineering and model evaluation
- Document models processes and experiments
- Required Skills Qualifications
- Technical Skills
- Strong proficiency in Python
- Experience with Machine Learning libraries
- Scikit learn
- TensorFlow PyTorch
- Knowledge of data manipulation tools Pandas NumPy
- Experience with ML algorithms regression classification clustering
- Familiarity with Deep Learning frameworks
- Knowledge of NLP or Computer Vision techniques
- Experience in model deployment APIs microservices
- Strong understanding of statistics and probability
- Primary skills Domain Turbomachinery Steam Turbine Rotor
- Preferred Skills Nice to Have
- Experience with Generative AI LLMs GPT LangChain Hugging Face
- Knowledge of MLOps tools MLflow Kubeflow Airflow
- Experience with Docker and Kubernetes
- Familiarity with Big Data tools Spark PySpark
- Experience with REST APIs and microservices architecture
- Knowledge of cloud AI services AWS SageMaker Azure ML GCP AI
- Understanding of vector databases and embeddings FAISS Pinecone
- Exposure to CI CD pipelines and DevOps practices
Technology->AI-AI Engineering->AI/ML Solution Architecture and Design
