AI / ML Architect
Evnek Technologies Pvt Ltd
About this role
AI / ML Architect
Experience: 8-14+ Years
Location: Bengluru (Remote)
Notice Period : Immediate Joiner
Role Overview
We are looking for an experienced AI / ML Architect/Lead to design, develop, and deploy enterprise-scale AI/ML and Generative AI solutions. The ideal candidate will have strong expertise in Machine Learning, Data Engineering, MLOps, LLMs, RAG architectures, and Cloud-based AI platforms, with the ability to lead end-to-end AI initiatives.
Key Responsibilities
- Design and architect scalable AI/ML and Generative AI solutions.
- Develop data pipelines, ETL/ELT processes, and feature engineering frameworks.
- Perform data preprocessing, EDA, model training, optimization, and deployment.
- Implement MLOps practices including model versioning, experimentation,monitoring, and CI/CD.
- Build and deploy RAG-based applications, AI agents, and LLM-powered solutions.
- Collaborate with business and technical stakeholders to translate requirements into AI solutions.
- Ensure AI security, governance, compliance, and best practices.
- Mentor and guide ML Engineers, Data Scientists, and AI teams.
Qualifications
- Bachelor's or Master's degree in Computer Science, AI, Data Science, or related field.
- 8-14+ years of experience in AI/ML architecture and solution delivery.
- Proven experience building enterprise-scale AI, ML, and Generative AI applications.
- Strong leadership and stakeholder management skills.
Requirements
Required Skills
- AI/ML & GenAI
- Machine Learning Algorithms
- Feature Engineering, Data Splitting, Encoding
- Model Design, Optimization & Deployment
- LLMs: OpenAI, LLaMA, Gemini, BERT
- RAG Pipelines, Prompt Engineering
- AI Agent Frameworks & Agent Deployment
- Programming & Frameworks
- Python, R, Scala, Java
- Pandas, TensorFlow, PyTorch, Scikit-learn, Keras
- Data & MLOps
- Data Engineering, ETL/ELT
- Git, DVC, MLflow
- Docker, Kubernetes, Kubeflow
- Apache Airflow, CI/CD
- Cloud & Platforms
- AWS, Azure, GCP
- AWS SageMaker, AWS Bedrock
- Azure Machine Learning Services
- Google AI Platform
- Databricks, Snowflake, Salesforce, SAP
- Databases
- RDBMS & NoSQL Databases
- Vector Databases (Pinecone, Weaviate, Chroma, FAISS, Milvus, etc.)
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