Posted Sep 11, 2026

AI / ML Architect

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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.)


Bachelor's or Master's degree in a related field and 8–14+ years of AI/ML architecture experience, with expertise in GenAI, MLOps, LLMs, RAG, cloud platforms, and technical leadership.

Key Responsibilities

Skills & Tools

OpenAI, LLaMA, Gemini, BERT, Python, R, Scala, Java, Pandas, TensorFlow, PyTorch, Scikit-learn, Keras, Git, DVC, MLflow, Docker, Kubernetes, Kubeflow, Apache Airflow, AWS, Azure, GCP, AWS SageMaker, AWS Bedrock, Azure Machine Learning Services, Google AI Platform, Databricks, Snowflake, Salesforce, SAP, Pinecone, Weaviate, Chroma, FAISS, Milvus

Job Details

About Evnek Technologies

An information technology services company delivering enterprise AI and machine learning solutions. — Industry: Information Technology