Remote Data scientist Jobs – 122 Open Jobs Today

AI/ML Engineer
Delphic Global —Remote
- ₹4,06,293.45 - ₹20,72,258.15 a year
- Full-time
- Remote
- Azure
- Master's degree
- Databases
Quick apply
12h
AI/ML Engineer
Rupa Career Solutions —Remote
- ₹4,07,628.29 - ₹10,74,242.27 a year
- Full-time
- Remote
- Azure
- Master's degree
- Databases
Quick apply
3d
Senior Data Engineer - ETL/ Big Data/ Hadoop
MNJ Software —Remote
- Full-time
- Remote
- Azure
- DevOps
- English
- Work from home
Head of Machine Learning
BRAHMA —Remote
- Remote
- Doctoral degree
- Computer Science
- Research
Senior AI/ML Engineer — Founding Technical Lead (INDIA)
Vulcury Venture Studio and Advisors —Remote
- Full-time
- Remote
- Master's degree
- Manufacturing
- AI
Quick apply
Machine Learning Engineer
Expertshub.ai —Remote
- Remote
- Azure
- Computer Science
- System design
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AI Developer
Expertshub.ai —Remote
- Remote
- Azure
- Computer Science
- Customer service
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Data Science Lead (India)
Codvo.ai —Remote
- Remote
- Azure
- Master's degree
- Databases
AI / ML Engineer
Codvo.ai —Remote
- Remote
- System design
- AWS
- Machine learning
Machine Learning Engineer V
Avalara —Remote
- Remote
- Computer Science
- B.Sc
- Research
- Health insurance
- Paid time off
Offshore - AI Solutions Engineer
Smartbridge —Remote
- Full-time
- Remote
- Azure
- Computer Science
- DevOps
Quick apply
Senior AI Engineer I
AxisMaxlife —Remote
- Remote
- Computer Science
- Master's degree
- Math
14d
Technical Product Manager – AI/ML & Data Products (7+ yrs)
Outsource Bigdata —Remote
- Full-time
- Remote
- Azure
- Computer Science
- Master's degree
AI, Lead Consultant - US
Robosoft —Remote
- Remote
- Azure
- Computer Science
- Master's degree
Senior AI/ML Engineer
Spark Eighteen —Remote
- Full-time
- Remote
- Master's degree
- Machine learning
- AI
- Health insurance
Lead Gen AI/Agentic AI Engineer
Saransh —Remote
- ₹55 - ₹58 an hour
- Remote
- DevOps
- System design
- Databases
Quick apply
7d
Senior AI Application Engineer
Deltek, Inc. —Remote
- Remote
- Computer Science
- Master's degree
- Bachelor's degree
11d
Manager / Area Manager Artificial Intelligence
Tata Steel Ltd —Remote
- Remote
- Azure
- Master's degree
- SQL
Quick apply
Senior Product Manager, AI
Trellix —Remote
- Remote
- Master's degree
- Product management
- APIs
- Health insurance
- Paid time off
Senior Ai ml Engineer
Refill Health Pvt . Ltd —Remote
- Part-time
- Remote
- Azure
- Computer Science
- English
- Flexible schedule
Quick apply
8d

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AI/ML Engineer

Delphic Global
Remote

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Job details

Full-time
₹4,06,293.45 - ₹20,72,258.15 a year
12 hours ago

Qualifications

CI/CD
Azure
Law
Kubernetes
Enterprise Software
NoSQL
Master's degree
Databases
SQL
OS Kernels
AWS
Docker
Continuous integration
APIs
Web services
SaaS
AI
Graph databases
Python

Full job description

Core Programming & Systems Skills
Python (expert level) for ML, orchestration, and agent logic
Strong understanding of async programming, concurrency, and task scheduling
Foundations of Agentic AI
Design and implementation of autonomous AI agents capable of:

o Multi-step reasoning and planning
o Goal decomposition and task orchestration
o Dynamic decision-making under uncertainty

Experience with agent architectures:

o ReAct, Plan-and-Execute, Reflexive agents
o Hierarchical / multi-agent systems
o Tool-augmented and function-calling agents

Understanding of stateful vs stateless agents and memory management
Large Language Models (LLMs)
Hands-on experience with LLMs (OpenAI, Azure OpenAI, Anthropic, open-source models)
Prompt-engineering techniques for:

o Reasoning (Chain-of-Thought, Self-Reflection)
o Planning and critique loops
o Instruction following and tool use

Experience with:

o Few-shot and zero-shot prompting
o Model selection trade-offs (latency, cost, context length)

Knowledge of fine-tuning / adapters (LoRA) is a plus
Agent Frameworks & Tooling
Practical experience with agent frameworks, such as:

o LangGraph / LangChain (agents, tools, memory)
o Semantic Kernel
o AutoGen, CrewAI, or similar

Ability to build custom agent orchestration layers beyond frameworks
Tool abstraction and execution safety (timeouts, retries, sandboxing)

Classification: Internal

Memory, Context & Knowledge Augmentation
Design of agent memory systems:

o Short-term (conversation/state memory)
o Long-term (episodic, semantic memory)

Retrieval-Augmented Generation (RAG):

o Vector databases (FAISS, Pinecone, Azure AI Search, etc.)
o Embedding selection and chunking strategies

Techniques for context management and compression
Knowledge graph–augmented or hybrid memory (plus)
Planning, Reasoning & Control
Experience implementing:

o Task planners (step planning, re-planning)
o Constraint-based execution
o Feedback and self-correction loops

Understanding of:

o Tool reliability scoring
o Guardrails and action validation
o Failure detection and graceful recovery

MLOps & AgentOps
Deployment of agents into production environments
Observability for agents:

o Tracing agent decisions and tool calls
o Logging prompts, responses, and errors

Model and prompt versioning
CI/CD for agent systems
Experience with Docker, Kubernetes, serverless deployments (Azure/AWS)
Evaluation & Testing of Agentic Systems
Designing evaluation frameworks for agents:

o Task success rate
o Cost, latency, and reliability
o Safety and hallucination detection

Offline test harnesses and simulation environments

Classification: Internal

A/B testing of prompts, tools, and agent strategies
Security, Safety & Responsible AI
Secure tool execution and privilege control
Prompt-injection and jailbreak risk mitigation
Data privacy and isolation in agent memory
Responsible AI practices:

o Bias awareness
o Explainability of agent decisions
o Human-in-the-loop escalation patterns
10. Data & Integration Skills

Integration with:

o Enterprise systems (CRM, ERP, databases)
o Web services, internal APIs, and SaaS tools

Working knowledge of:

o SQL / NoSQL databases
o Event-driven systems and message queues (plus)
11. Cloud & Platform Expertise

Strong experience with at least one cloud platform:

o Azure (preferred for enterprise agentic AI), AWS, or GCP

Managed AI services, identity & access, secrets management
Cost optimization for LLM-driven systems

12. Bonus / Advanced Skills (Nice to Have)

Multi-agent collaboration and negotiation
Human-AI collaboration patterns (copilots, supervisors)
Reinforcement learning for agent policy optimization
Experience building enterprise copilots or autonomous workflows

Pay: ₹406,293.45 - ₹2,072,258.15 per year

Work Location: Remote

Quick apply

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