Remote Lead data engineer with ai experience Jobs – 256 Open Jobs Today

Lead Data Engineer with AI experience
3Pillar —Remote
- Full-time
- Remote
- Azure
- Master's degree
- SQL
Lead AI and Data Platform Engineer
Kasmoprav —Remote
- ₹1,00,000 - ₹1,20,000 a month
- Full-time
- Remote
- Master's degree
- Databases
- SQL
- Health insurance
- Work from home
Quick apply
14d
Ai Automation engineer
Digioptimizer —Remote
- ₹30,000 - ₹45,000 a month
- Full-time
- Remote
- Salesforce
- SQL
- Software development
Quick apply
14d
AI Full Stack Engineer
Omnio —Remote
- ₹25,000 - ₹50,000 a month
- Full-time
- Remote
- Master's degree
- APIs
- AI
Quick apply
10d
AI/ML Engineer – Python & Agentic AI Systems
Trantor Software Pvt. Ltd —Remote
- ₹30,00,000 - ₹50,00,000 a year
- Full-time
- Remote
- Salesforce
- Machine learning
- APIs
- Work from home
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5d
AI Engineer
GoWide Solutions —Remote
- ₹1,00,000 - ₹2,00,000 a month
- Full-time
- Remote
- Azure
- Computer Science
- Salesforce
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Lead AI/ML Engineer
W2S Solutions —Remote
- ₹12,00,000.00 - ₹16,72,258.15 a year
- Full-time
- Remote
- Azure
- Master's degree
- SQL
Quick apply
19h
AI/ML Engineer Lead
Sasefied —Remote
- ₹50,000 - ₹80,000 a month
- Part-time
- Remote
- Azure
- AWS
- Project management
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10d
Test Automation Engineer
QO-BOX Private Limited —Remote
- ₹4,00,000 - ₹5,00,000 a year
- Full-time
- Remote
- English
- Java
- SQL
Quick apply
12d
AI Solution Lead
GoWide —Remote
- ₹5,52,211.62 - ₹19,50,910.38 a year
- Full-time
- Remote
- Azure
- Computer Science
- Salesforce
Quick apply
AI Workflow Automation Engineer
Avalara —Remote
- Remote
- Azure
- Computer Science
- AWS
- Health insurance
- Paid time off
Senior AI/ML Engineer — Founding Technical Lead (INDIA)
Vulcury Venture Studio and Advisors —Remote
- Full-time
- Remote
- Master's degree
- Manufacturing
- AI
Quick apply
Growth & GTM Automation Engineer
IDEA Foundation —Remote
- ₹6,00,000 - ₹13,00,000 a year
- Full-time
- Remote
- JavaScript
- APIs
- AI
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Lead Data Engineer
HighLevel —Remote
- Remote
- SQL
- APIs
- AI
AI Workflow Automation Engineer (India)
Bitovi —Remote
- Full-time
- Remote
- Azure
- Computer Science
- AWS
- Health insurance
- Paid time off
7d
Senior Python Engineer / Backend Analytics & AI Architect
Garuda SpaceX Technologies —Remote
- ₹1,60,446.92 - ₹5,67,232.34 a year
- Full-time
- Remote
- Master's degree
- Machine learning
- AI
- Work from home
- Flexible schedule
Quick apply
Salesforce Quality Analyst (Voice & AI)
Eminenture Private Limited —Remote
- ₹8,00,000 - ₹10,00,000 a year
- Full-time
- Remote
- Salesforce
- AI
Quick apply
Product Analyst
Oorja Development Solutions India Pvt. Ltd. —Remote
- ₹6,08,245.92 - ₹9,00,986.00 a year
- Full-time
- Remote
- Microsoft Excel
- ERP systems
- Data analysis skills
- Health insurance
- Paid time off
Quick apply
17h
Lead Software Engineer
Cimpress —Remote
- Remote
- Salesforce
- English
- AWS
- Work from home
Quick apply
Senior Data Engineer
Alimentiv —Remote
- ₹20,94,639 - ₹36,03,725 a year
- Full-time
- Remote
- Azure
- Computer Science
- DevOps
Quick apply
4d

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Lead Data Engineer with AI experience

3Pillar -
Remote

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Job details

Full-time

Qualifications

Ontology
CI/CD
Azure
Law
Kubernetes
Spark
Git
SPARQL
Master's degree
SQL
RBAC
AWS
Docker
Neo4j
Terraform
Continuous integration
GitHub
APIs
S3
Kafka
Redshift
AI
Graph databases
Python

Full job description

3Pillar is an AI transformation partner on a mission to help enterprises build the AI-native products and intelligent agents that will define the next era of business. With teams across North America, Europe, Latin America, and Asia, we work with the most ambitious companies in financial services, healthcare, media, and technology — helping them move faster, modernize boldly, and compete on their own terms. Our HelixAI platform and Helix Pods delivery model put our engineers at the center of real agentic transformation — doing work that is open, portable, and built to last. We are building the future of enterprise AI

We are looking Lead Data Engineer to build, operate, and continuously improve the
data pipelines, retrieval infrastructure, and ML/LLMOps foundations that power our AI
initiatives. The resource will work on turning reference architectures and data contracts
into robust, production-grade implementations that serve conversational AI assistants,
dashboard copilots, autonomous agents, RAG applications, and predictive ML models.

Key Responsibilities:

Data Pipeline Engineering : Build, test, and maintain production pipelines (batch & real-time) on Snowflake, PySpark, Delta Lake, and Kafka.

Implement data quality checks, schema validation, and alerting at every pipeline stage.

Migrate legacy ETL/DWH to cloud-native AWS/Azure architectures with measurable latency and cost improvements.

Maintain CI/CD pipelines: automated testing, deployment, rollback, and IaC (Terraform, GitHub Actions).

RAG, Vector & Retrieval Infrastructure: Build end-to-end retrieval infrastructure: document ingestion, embedding pipelines, vector store management (Pinecone, FAISS, ChromaDB, OpenSearch), and hybrid retrieval layers.

Implement chunking, metadata filtering, and re ranking — tuning for precision, recall, and latency.

Maintain data freshness and index consistency; instrument with context relevance and faithfulness metrics.

Semantic Layer & Knowledge Infrastructure: Implement and maintain business entity mappings, ontologies, and knowledge graphs (Neo4j) per Architect design.

Build and version the feature store and semantic data contracts serving both ML models and LLM applications.

Manage metadata, data lineage, and audit trail instrumentation across the platform.

ML/LLMOps Pipeline Support: Build ML data infrastructure: training curation, feature engineering, MLflow experiment tracking, dataset versioning.

Support LLM fine-tuning workflows — corpus curation, quality filtering, dataset formatting.

Implement automated evaluation pipelines: factual accuracy, hallucination detection, regression tracking.

Maintain production monitoring dashboards for pipeline health, model metrics, and alerting.

Agentic Data Infrastructure: Build and maintain data APIs, tool schemas, and memory/state stores that autonomous agents depend on.

Implement agent observability: capture inputs, retrieved context, tool calls, reasoning traces, and outputs.

Maintain text-to-SQL layers, semantic query interfaces, and context APIs for conversational AI consumers.

Governance, Security & Data Quality: Implement RBAC, attribute-based access, PII detection/masking, data classification, and audit logging.

Enforce data contracts and schema governance with automated breaking-change detection and versioned migrations.

Build data quality monitoring (completeness, freshness, consistency) with automated alerting and root-cause tooling.

Support compliance readiness: audit trails, data provenance, and regulatory documentation.

Qualifications:

7+ years data engineering using Cloud services
2+ years production AI/ML or LLM-era data infrastructure. Proven experience building production pipelines at scale — batch and streaming, Snowflake,AWS/Azure.
Deep expertise: Python, PySpark, Snowflake, Delta Lake, Kafka, Spark Structured Streaming.
Hands-on with vector stores, embedding pipelines, and retrieval infrastructure in production RAG environments.
Working knowledge of MLOps: MLflow, CI/CD for AI, automated evaluation, and production monitoring.
Strong grounding in data governance, quality frameworks, and compliance-
aligned engineering.

Technical Skills:

Primary skills: Python, SQL, PySpark, Kafka, Snowflake/DataBricks, Delta Lake, AWS (S3, Glue, Kinesis, EKS, Redshift), Docker, Kubernetes, GitHub Actions.
Secondary Skills : LangChain, LlamaIndex, LLM APIs (OpenAI, Bedrock, Claude, HuggingFace), Pinecone, FAISS, ChromaDB, OpenSearch, MLflow, FastAPI, Neo4j, LangGraph, prompt engineering, RLHF dataset prep, LLM fine-tuning workflows

What It's Like to Work at 3Pillar:

At 3Pillar, we create an environment where people can do their best work while maintaining a healthy work-life balance.

Flexibility & Well-being – Our remote-first approach gives you the flexibility to work where you perform best, while prioritizing your well-being and personal commitments.
Global Community – Collaborate with talented colleagues across the globe in a culture built on connection, support, and shared success.
Your Voice Matters – We foster open communication and multiple feedback channels, ensuring every employee has the opportunity to be heard and make an impact.
Growth & Development – Gain exposure to diverse clients, industries, and challenges that accelerate learning and career growth.

Our culture is guided by four core values: Collaboration, Outperform, Respect, and Evolve—the principles that shape how we work, grow, and succeed together.

Thank you,

Kiran Dhanak

Manager, Talent Acquisition

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Apply Now

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