The Role
Design and lead enterprise-scale AI, machine learning, and Generative AI solutions from architecture through deployment. Build data pipelines, feature engineering frameworks, RAG applications, AI agents, and LLM-powered systems. Establish MLOps practices for versioning, experimentation, monitoring, and CI/CD. Partner with stakeholders on AI initiatives, ensure security and governance compliance, and mentor ML engineers, data scientists, and AI teams.
Summary Generated by Built In
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.)
Skills Required
- Bachelor's or Master's degree in Computer Science, AI, Data Science, or a related field
- 8-14+ years of experience in AI/ML architecture and solution delivery
- Experience building enterprise-scale AI, machine learning, and Generative AI applications
- Leadership and stakeholder management skills
- Machine learning algorithms, feature engineering, data splitting, encoding, model design, optimization, and deployment
- LLM experience with OpenAI, LLaMA, Gemini, and BERT
- RAG pipelines, prompt engineering, AI agent frameworks, and agent deployment
- Python, R, Scala, or Java programming experience
- Experience with Pandas, TensorFlow, PyTorch, Scikit-learn, and Keras
- Data engineering, ETL/ELT, Git, DVC, MLflow, Docker, Kubernetes, Kubeflow, Apache Airflow, and CI/CD
- Experience with AWS, Azure, GCP, and cloud AI platforms including SageMaker, Bedrock, Azure Machine Learning, and Google AI Platform
- Experience with Databricks, Snowflake, Salesforce, and SAP
- Experience with RDBMS, NoSQL, and vector databases such as Pinecone, Weaviate, Chroma, FAISS, or Milvus
- Immediate availability to join
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The Company
What We Do
Evnek Technologies is a Bengaluru-based technology and IT consulting company that helps organizations modernize through agentic and generative AI, machine learning, cloud solutions, data engineering, DevOps, and software/API development. Its services include AI-driven business transformation, autonomous intelligent agents, cloud migration and management, enterprise data capabilities, and scalable product development, with a mission to improve operational efficiency and create lasting business impact.
