Advanced AI Solutions Architect

3 days ago

Bengaluru, Karnataka, India beBeeArtificialIntelligence Full time ₹ 20,00,000 - ₹ 25,00,000
Job Title:
AI Architect

We are seeking a skilled AI Architect to develop innovative AI solutions. The ideal candidate will have expertise in traditional statistics, machine learning, and full-stack development.

Required Skills and Qualifications
  • Programming: Expert proficiency in Python and strong experience with JavaScript/TypeScript.
  • Traditional ML: Experience with scikit-learn, XGBoost, LightGBM, classical algorithms, and ensemble methods.
  • Hypothesis testing, regression analysis, ANOVA, time series analysis, experimental design, Bayesian inference: Knowledge of statistical tools such as R, SAS, SPSS, or similar software packages.
  • TensorFlow, PyTorch, neural networks, computer vision, NLP: Experience with large language models and fine-tuning techniques.
  • LLM Experience: Working with GPT, Claude, Llama, or similar models; experience with prompt engineering.
  • RAG Implementation: Vector databases (Pinecone, Weaviate, Chroma), embedding models, semantic search
  • Data Science: Pandas, NumPy, statistical analysis, data visualization (Matplotlib, Plotly, Seaborn), feature engineering
  • Full Stack Development: Develop scalable front-end applications using modern frameworks (React, Angular) and build robust backend services and APIs using Python or similar technologies.
  • Databases: PostgreSQL, MongoDB, Redis, vector databases
  • MLOps: Docker, Kubernetes, CI/CD, model versioning, monitoring tools
  • Cloud Platforms: AWS/GCP/Azure, serverless architectures
Benefits

The ideal candidate will have 7-8 years of professional software development experience and a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Machine Learning, Data Science, or related field. They should be familiar with agile development methodologies and have experience with edge AI and model optimization techniques.

Additional qualifications include publications in AI/ML/Statistics conferences or journals, open source contributions to ML/statistical projects, and experience with advanced statistical modeling and multivariate analysis.

Others

The selected candidate will work closely with data scientists, product managers, and engineering teams, collaborating on revolutionary projects involving generative AI, large language models, and advanced data science applications.

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