Advanced Software Engr

Responsibilities

• 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.

Qualifications

• 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