[Hiring] AI / ML Architect @Evnek Technologies Pvt Ltd

Role Description

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

• 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.)