AI/ML Architect

🕒 3 days ago

🇮🇳 India – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

🤖 Artificial Intelligence

👻 Ghost score 21%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Evnek

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2021

💼 Consulting

🤖 Artificial Intelligence

🤝 B2B

Consulting • Artificial Intelligence • B2B

Evnek is an AI-driven enterprise services company that builds and deploys agentic AI platforms, generative AI and machine learning solutions, and cloud-native engineering for businesses. It provides autonomous intelligent agents, cloud services across AWS/Google Cloud/Azure, data engineering, DevOps, API/microservices development, and strategic consulting to help organizations automate workflows, accelerate time-to-value, and realize measurable ROI from AI adoption.

📋 Description

• 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

🎯 Requirements

• 8-14+ years of experience in AI/ML architecture and solution delivery • Proven experience building enterprise-scale AI, ML, and Generative AI applications • Strong expertise in Machine Learning, Data Engineering, MLOps, LLMs, RAG architectures, and Cloud-based AI platforms • Bachelor's or Master's degree in Computer Science, AI, Data Science, or related field • Strong leadership and stakeholder management skills • Immediate joiner / Notice period: Immediate Joiner • 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 • Python, R, Scala, Java • Pandas, TensorFlow, PyTorch, Scikit-learn, Keras • Data Engineering, ETL/ELT • Git, DVC, MLflow • Docker, Kubernetes, Kubeflow • Apache Airflow, CI/CD • AWS, Azure, GCP • AWS SageMaker, AWS Bedrock • Azure Machine Learning Services • Google AI Platform • Databricks, Snowflake, Salesforce, SAP • RDBMS & NoSQL Databases • Vector Databases (Pinecone, Weaviate, Chroma, FAISS, Milvus, etc.)