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AI Solution Architect : INR 40-50 LPA

AI Solution Architect : INR 40-50 LPA

ZifcareBellary, IN
17 hours ago
Job description

Position Overview :

We are seeking an experienced AI Architect to join our dynamic team. This role combines deep technical expertise in traditional statistics, classical machine learning, and modern AI with full-stack development capabilities to build end-to-end intelligent systems. You'll work on revolutionary projects involving generative AI, large language models, and advanced data science applications.

Location and Type :

Bangalore ( Whitefield ) with hybrid (3 days / week)

Timings : 2-11 pm

Key Responsibilities :

a) AI / ML Development & Data Science :

  • Design, develop, and deploy machine learning models ranging from classical algorithms to deep learning for production environments
  • Apply traditional statistical methods including hypothesis testing, regression analysis, time series forecasting, and experimental design
  • Build and optimize large language model applications including fine-tuning, prompt engineering, and model evaluation
  • Implement Retrieval Augmented Generation (RAG) systems for enhanced AI capabilities
  • Conduct advanced data analysis, statistical modeling, A / B testing, and predictive analytics using both classical and modern techniques
  • Research and prototype cutting-edge generative AI solutions

b) Traditional ML & Statistics :

  • Implement classical machine learning algorithms including linear / logistic regression, decision trees, random forests, SVM, clustering, and ensemble methods
  • Perform feature engineering, selection, and dimensionality reduction techniques
  • Conduct statistical inference, confidence intervals, and significance testing
  • Design and analyze controlled experiments and observational studies
  • Apply Bayesian methods and probabilistic modeling approaches

    • c) Full Stack Development :

  • Develop scalable front-end applications using modern frameworks (React, Vue.js, Angular)
  • Build robust backend services and APIs using Python, Node.js, or similar technologies
  • Design and implement database solutions (SQL / NoSQL) optimized for ML workloads
  • Create intuitive user interfaces for AI-powered applications and statistical dashboards

    • d) MLOps & Infrastructure :

  • Establish and maintain ML pipelines for model training, validation, and deployment
  • Implement CI / CD workflows for ML models using tools like MLflow, Kubeflow, or similar
  • Monitor model performance, drift detection, and automated retraining systems
  • Deploy and scale ML solutions using cloud platforms (AWS, GCP, Azure)
  • Containerize applications using Docker and orchestrate with Kubernetes

    • e) Collaboration & Leadership :

  • Work closely with data scientists, product managers, and engineering teams
  • Mentor junior engineers and contribute to technical decision-making
  • Participate in code reviews and maintain high development standards
  • Stay current with latest AI / ML trends and technologies

    • Required Qualifications :

    a) Experience & Education :

  • 7-8 years of professional software development experience
  • Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Machine Learning, Data Science, or related field
  • 6+ years of hands-on AI / ML experience in production environments

    • b) Technical Skills :

  • Programming : Expert proficiency in Python, strong experience with JavaScript / TypeScript, R is a plus
  • Traditional ML : Scikit-learn, XGBoost, LightGBM, classical algorithms and ensemble methods
  • Statistics : Hypothesis testing, regression analysis, ANOVA, time series analysis, experimental design, Bayesian inference
  • Statistical Tools : Experience with R, SAS, SPSS, or similar statistical software packages
  • Deep Learning : TensorFlow, PyTorch, neural networks, computer vision, NLP
  • LLM Experience : Working with GPT, Claude, Llama, or similar models; experience with fine-tuning and 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 : React / Vue.js, Node.js / FastAPI, REST / GraphQL APIs
  • Databases : PostgreSQL, MongoDB, Redis, vector databases
  • MLOps : Docker, Kubernetes, CI / CD, model versioning, monitoring tools
  • Cloud Platforms : AWS / GCP / Azure, serverless architectures

    • c) Soft Skills :

  • Strong problem-solving and analytical thinking
  • Excellent communication and collaboration abilities
  • Self-motivated with ability to work in fast-paced environments
  • Experience with agile development methodologies

    • d) Preferred Qualifications

  • Experience with causal inference methods and econometric techniques
  • Knowledge of distributed computing frameworks (Spark, Dask)
  • Experience with edge AI and model optimization techniques
  • Publications in AI / ML / Statistics conferences or journals
  • Open source contributions to ML / statistical projects
  • Experience with advanced statistical modeling and multivariate analysis
  • Familiarity with operations research and optimization techniques
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    Solution Architect • Bellary, IN