Advanced Software Engr
Posted Updated
Description
Required Skills Qualifications
Technical Skills
- Machine Learning AI
- Generative AI
- Strong understanding of: Supervised and Unsupervised Learning, Regression and Classification, Clustering, Recommendation Systems, Time-Series Forecasting, Reinforcement Learning, Deep Learning
- Experience with: LLMs (GPT, Llama, Gemini, Claude, Mistral), RAG architectures, Prompt Engineering, Fine-tuning and PEFT techniques, LangChain / LangGraph, Semantic Kernel, AI Agents and Multi-Agent Systems
- Programming
- Expert-level Python development
- Strong knowledge of: NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch
- MLOps Deployment: Docker, Kubernetes, MLflow, CI/CD pipelines, Model Monitoring, Azure ML / AWS SageMaker / Vertex AI
- Data Technologies: SQL, Spark/PySpark, Data Engineering concepts, ETL pipelines, Feature Stores
- Vector Databases: Pinecone, ChromaDB, Weaviate, Azure AI Search, FAISS
- Cloud Platforms
- Experience in at least one:
Microsoft Azure AI Services
Azure OpenAI
AWS AI/ML Services
Google Vertex AI
Key Responsibilities
- Design, develop, train, evaluate, and deploy machine learning and deep learning models.
- Develop and optimize Generative AI applications using Large Language Models (GPT, Llama, Claude, Mistral, etc. ).
- Build Retrieval-Augmented Generation (RAG) solutions using vector databases.
- Fine-tune foundation models and implement prompt engineering strategies.
- Create scalable AI pipelines for data ingestion, feature engineering, model training, and inference.
- Develop AI-powered applications, chatbots, recommendation engines, and predictive analytics solutions.
- Implement MLOps practices including automated training, deployment, monitoring, and retraining.
- Work with cross-functional teams to translate business requirements into AI solutions.
- Optimize model performance, latency, accuracy, and cost efficiency.
- Ensure AI governance, model explainability, privacy, and responsible AI practices.
- Stay current with emerging AI technologies and recommend innovations.
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Skills
- Agentic AI
- AI
- Analytics
- AWS
- Azure
- ChromaDB
- CI/CD
- Cloud
- Data Engineering
- Data Ingestion
- Deep Learning
- Docker
- ETL
- FAISS
- Feature Engineering
- Fine Tuning
- Generative AI
- Kubernetes
- LangChain
- LangGraph
- LLM
- Machine Learning
- Mistral
- MLflow
- MLOps
- NumPy
- OpenAI
- pandas
- PEFT
- Pinecone
- Predictive Analytics
- Prompt Engineering
- PySpark
- Python
- PyTorch
- RAG
- Recommendation Systems
- Reinforcement Learning
- SageMaker
- scikit-learn
- Semantic Kernel
- Spark
- SQL
- TensorFlow
- Time Series
- Vector Databases
- Vertex AI
- Weaviate