Remote Deep learning Jobs – 149 Open Jobs Today

AI/ML Engineer – Python & Agentic AI Systems
Trantor Software Pvt. Ltd —Remote
- ₹30,00,000 - ₹50,00,000 a year
- Full-time
- Remote
- Salesforce
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- Work from home
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Pipeline Pilot Protocol (PLP) Developer
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Python Lead
HelixBeat —Remote
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- Full-time
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Lead Full Stack Developer (WFH)
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AI/ML Engineer – Python & Agentic AI Systems

Trantor Software Pvt. Ltd -
Remote

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Job details

Full-time
₹30,00,000 - ₹50,00,000 a year
1 hour ago

Benefits

Work from home

Qualifications

Salesforce
Machine learning
Attribution modelling
Natural language processing
B2B
Marketing automation
APIs
JSON
AI
B2B Marketing
Python
Marketing
Multichannel marketing

Full job description

Role - AI/ML Engineer – Python & Agentic AI Systems

Experience - 5+ years

Location- Remote

Job Description:

As our Marketing AI Agent Builder, you will be the lead architect for our "agentic & marketing stack. Your goal is to move beyond simple automation (if-this-then-that) toward autonomous systems that reason through marketing data, execute multi-channel campaigns, and self-correct based on performance. This is a Builder & role—part Engineer, part Strategist, part Data Scientist.This is a remote role with the option to work anywhere in NA.

Core Responsibilities

● Intelligent Research & Segmentation: Deploy agents to crawl the web for intent signals (hiring changes, funding, news) to dynamically update ICP segments and enrich CRM records in real-time.

● Autonomous Campaign Management: Build agents that independently monitor live campaigns (Search, Social, Email) and autonomously reallocate budgets or pause underperforming creatives based on real-time ROI.

● Dynamic Lead Nurturing: Design agents that use Natural Language Processing (NLP) to "read" prospect behavior and trigger personalized, multi- step nurture sequences without manual intervention.

● Performance & Guardrails: Establish "human-in-the-loop" protocols and evaluation frameworks to ensure agent outputs align with brand voice and security standards.

● System Orchestration: Connect AI agents to our core stack—including HubSpot/Salesforce, 6sense, and Google Analytics—ensuring seamless data ﬂow and automated write-backs to the CRM.

Qualiﬁcations & Skills

● Experience: 5+ years (senior level) in Growth Engineering, ideally with experience scaling a mid-market SaaS revenue engine.

● AI Tooling: Proﬁciency with agent orchestration frameworks (e.g., LangGraph, CrewAI) or low-code builder platforms (e.g., Claude CoWork, CodeX)

● Agent Orchestration: Experience with low-code/no-code platforms (e.g., Clay, Zapier Central, Make.com) or code-based frameworks (e.g., LangGraph, CrewAI).

● Prompt Engineering: Ability to design complex "reasoning loops" that prevent hallucinations and ensure professional, brand-aligned output.

● Data Savvy: Comfortable working with JSON, APIs, and RAG (Retrieval-Augmented Generation) to feed agents the right context from your company’s internal knowledge base.

● Marketing Expertise: Knowledge of B2B buyer journeys, attribution models, and demand generation tactics.

Sales AI Agent Builder

Role Overview

You will architect and manage a ﬂeet of autonomous Sales Agents that perform end-to-end prospecting, qualiﬁcation, and meeting scheduling. Unlike traditional Sales Ops, you won't just build workﬂows; you will build reasoning systems that research prospects, handle objections, and manage their own "inboxes & to deliver qualiﬁed meetings to our SEs. This is a remote role with the option to work anywhere in NA.

Key Responsibilities

● Autonomous Lead Qualiﬁcation: Design agents to "vet" inbound leads by querying external data sources and internal CRM history to determine if they meet our Ideal Customer Proﬁle (ICP).

● Inbox Management & Objection Handling: Deploy agents (using LLMs like GPT-4o or Claude) that can read incoming emails, categorize intent, and draft/send context-aware replies to handle common objections.

● Live Sales Assistant (RAG): Build a "Sales Knowledge Base" using Retrieval-Augmented Generation (RAG) so agents can instantly reference case studies, pricing, and competitor battlecards during autonomous chats.

● CRM Data Integrity: Ensure agents "write back" all interactions to Salesforce/HubSpot, keeping data clean and attribution accurate without rep intervention.

Qualiﬁcations

● Experience: 4+ years in Growth or Solutions Engineering in a B2B SaaS environment.

● AI Tooling: Experience with "Agent-as-a-Service" platforms (e.g., 11x, Regie.ai, Lyzr) or building custom agents via LangChain / LangGraph

.● Sales Stack Mastery: Deep expertise in Salesforce/HubSpot, Salesloft/Outreach, and data providers like ZoomInfo or 6sense.

● Analytical Rigor: Ability to A/B test agent prompts and "reasoning loops" to improve meeting-set rates.

Pay: ₹3,000,000.00 - ₹5,000,000.00 per year

Benefits:

Work from home

Application Question(s):

What is your notice period?

Experience:

Python: 5 years (Required)
Machine learning: 4 years (Required)
Agent builder: 2 years (Required)

Work Location: Remote

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