Accolite

Data AI Engineer

Posted On

Feb. 3, 2026

Location

Bengaluru, Karnataka

Experience Level

5 - 8 Years Exp.

Job Type

Full Time

Apply By

Feb. 28, 2026

Job Description

Job Summary

We are looking for a motivated Data & AI Engineer with 2–4 years of experience who has a strong foundation in data engineering and AI/ML concepts, along with hands-on development experience in n8n for workflow automation and integrations. The ideal candidate should be comfortable working across data pipelines, cloud data platforms, AI-driven use cases, and low-code automation workflows, while collaborating closely with cross-functional teams.

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Key Responsibilities

Data Engineering & Analytics

· Design, develop, and maintain end-to-end data pipelines for ingestion, transformation, and storage.
· Work with structured and semi-structured data across data lakes, warehouses, and analytics platforms.
· Develop and optimize ETL/ELT workflows using SQL, Python, and cloud-native services.
· Ensure data quality, reliability, and performance through validation, monitoring, and optimization.
· Collaborate with stakeholders to understand data requirements and translate them into scalable solutions.

AI / ML Responsibilities

· Support development and deployment of AI/ML models for analytics, automation, and business insights.
· Work with data scientists to prepare datasets for training, testing, and inference.
· Implement and integrate AI-driven APIs and services (e.g., prediction, classification, recommendation, NLP).
· Assist in model evaluation, monitoring, and performance tuning in production environments.
· Apply responsible AI practices, including explainability, data privacy, and governance.

n8n Development & Automation

· Design, build, and maintain n8n workflows for data orchestration, automation, and system integrations.
· Develop custom n8n nodes or extend existing nodes when required.
· Integrate n8n with databases, cloud services, REST APIs, messaging platforms, and third-party tools.
· Implement error handling, logging, retries, and performance optimizations in workflows.
· Collaborate with engineering and business teams to automate manual processes and improve efficiency.

Development & Collaboration

· Write clean, maintainable, and well-documented code.
· Participate in code reviews, design discussions, and sprint planning.
· Troubleshoot and resolve production issues related to data pipelines, AI workflows, and automations.
· Follow best practices for version control, CI/CD, security, and scalability.

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Required Skills & Qualifications

Technical Skills

· 2–4 years of experience in Data Engineering, AI/ML, or related roles.
· Strong proficiency in SQL and Python.
· Experience with data pipelines, ETL/ELT frameworks, and data modeling.
· Hands-on experience with n8n for workflow automation and integrations.
· Familiarity with REST APIs, JSON, webhooks, and event-driven architectures.
· Exposure to cloud platforms (AWS / Azure / GCP) and their data services.
· Understanding of AI/ML fundamentals (supervised/unsupervised learning, model lifecycle).
· Experience working with databases (PostgreSQL, MySQL, SQL Server, or NoSQL).

Tools & Technologies (Good to Have)

· Data platforms: Snowflake, BigQuery, Redshift, Synapse, Databricks
· AI/ML tools: scikit-learn, TensorFlow, PyTorch, MLflow
· Workflow & orchestration: n8n, Airflow, Azure Data Factory
· Version control: Git, GitHub/GitLab
· Containers & DevOps basics: Docker, CI/CD pipelines

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Soft Skills

· Strong analytical and problem-solving skills.
· Ability to understand business requirements and translate them into technical solutions.
· Good communication skills and ability to work with cross-functional teams.
· Eagerness to learn new tools and technologies in the Data & AI space.
· Attention to detail and ownership mindset.

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Nice to Have

· Experience building AI-powered automations using n8n.
· Exposure to LLMs, prompt engineering, or GenAI integrations.
· Knowledge of data governance, security, and compliance practices.
· Experience in Agile/Scrum environments.

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