Remote Python lead manager Jobs – 107 Open Jobs Today

Manager / Area Manager Artificial Intelligence
Tata Steel —Remote
- Remote
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- Master's degree
- SQL
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MNJ Software —Remote
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Machine Learning Engineer
MNJ Software —Remote
- Full-time
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Luxoft —Remote
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1d
Technical Product Manager – AI/ML & Data Products (7+ yrs)
Outsource Bigdata —Remote
- Full-time
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Salesforce Developer/Sr.Developer
MNJ Software —Remote
- Full-time
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Senior Lead Software Development Engineer, AI-Enabled Data Platform
Avalara —Remote
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AI QA Automation Engineer
TechGrit —Remote
- Full-time
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Cloud Operations - Manager
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Engineering Manager – Fullstack & AI Engineering
Codvo.ai —Remote
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API Gateway Migration Engineer (WSO2 to Kong)
ProbeStack —Remote
- ₹3,60,000 - ₹6,00,000 a year
- Full-time
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- Java
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Quick apply
ELK Stack Admin
MNJ Software —Remote
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MNJ Software —Remote
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Solution Architect
Codvo.ai —Remote
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Lead Data Engineer with AI experience
3Pillar —Remote
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Forecasting Data Scientist
Mondelēz International —Remote
- Full-time
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8d

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Manager / Area Manager Artificial Intelligence

Tata Steel -
Remote

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Job details

Qualifications

TensorFlow
Azure
Law
Kubernetes
PyTorch
Big data
Software deployment
Spark
NoSQL
Master's degree
SQL
AWS
Bachelor's degree
Data management
PostgreSQL
APIs
B.E.
Business Administration
Data science
Manufacturing
AI
MBA
Python
Hadoop

Full job description

Role description

1. The Context / Purpose of the Job: TSL is seeking an AI Engineer to lead our advancement toward Industry 5.0 by developing and implementing a comprehensive AI strategy focused on creating innovative operating models that seamlessly integrate human and machine intelligence. This key role is centered on writing code, analyzing data, and building robust ML and AI pipelines to drive significant improvements in business performance.
The candidate should be proficient in Python, data science, ML (Time series, optimisation, classification & regression problems), and deep learning modules (CNN, RNN, LSTM), as well as cutting-edge Generative AI concepts like Agentic Design, RAG, prompt-to-template strategies, and chunking strategies.
This position requires expertise in decentralized architectures, proficiency with SQL, NoSQL, and PostgreSQL databases, and the ability to deploy solutions across multi-cloud platforms (GCP, AWS, Azure), leveraging serverless technologies like Cloud Run, Cloud Functions, and Lambda, alongside Kubernetes for container orchestration.

Key Objective / Overall Job Responsibility (Main Purpose):

Strategic AI Vision & Leadership: Develop and champion a clear AI vision by conceptualizing autonomous business models that leverage Generative AI, including Agentic Design and RAG architectures, to redefine the TSL value chain. Collaborate with stakeholders to define solution objectives, deliverables, and timelines.

Hands-On AI Implementation & Deployment: Lead the end-to-end design, development, and deployment of AI solutions using Python and its data science ecosystem. Architect and build robust ML/AI pipelines and deploy them on multi-cloud serverless platforms (GCP Cloud Run, AWS Lambda, Azure Functions) and Kubernetes (GKE).

Advanced Model Development & Innovation: Direct the AI learning trajectory by applying Deep Learning models (CNN, RNN, LSTM) and advanced Generative AI techniques, including innovative chunking strategies and prompt-to-template frameworks, to solve complex business challenges.

Technical Leadership & Data Architecture: Provide technical guidance to internal and external partners to build scalable AI solutions on decentralized architectures. Ensure seamless implementation and data integrity through proficient use of SQL (PostgreSQL) and NoSQL databases.

Program & Change Management: Spearhead the end-to-end transformation process, from model conception to production deployment, while managing change to ensure successful business adoption. Effectively multitask across multiple AI projects, prioritizing technical resources to meet competing deadlines.

Communication & Stakeholder Engagement: Effectively translate and communicate complex model performance metrics, data-driven insights, and strategic project direction to diverse audiences, including senior management, business users, and external partners, to ensure alignment and buy-in.

Relevant Experience:

Experience of working in high performance teams delivering AI solutions

Experience of working in cross-functional & collaborative environment

Good understanding of mining / manufacturing / supply chain / commercial processes along with knowledge of technology applications in these domains, would be preferred

Skills

Technical Competencies

Deep understanding of AI/ML algorithms and techniques, including Generative AI models (e.g., large language models, SLM, diffusion models), supervised, unsupervised, and reinforcement learning.

Expertise in AI architecture design and implementation: Familiarity with cloud platforms (AWS, Azure, GCP), big data technologies (Hadoop, Spark), and AI/ML frameworks (TensorFlow, PyTorch).

Understanding of frameworks & methods like RAG, Fine-tuning, Pre-training, Agentic AI

Proficiency in Prompt Engineering, utilizing tools, accessing APIs, and collaborating with AI agents

In-depth understanding of the LangChain, Google ADK etc framework for building and optimizing Large Language Model (LLM) applications.

Experience with data engineering and data management, including data cleaning, preprocessing, feature engineering, and data pipelines.

Proficiency in programming languages: Python, R, or similar languages are essential.

Knowledge of model deployment and monitoring: Experience with MLOps practices and tools for deploying and managing AI models in production environments.

Understanding of bias mitigation, privacy preservation, and responsible AI practices.

Familiarity with various AI applications and their business implications, across different functional areas.

Ability to design scalable, robust, and maintainable AI systems.

Understanding of IT-OT architecture

Behavioural Competencies

Proficiency in forging strong Customer, Supplier, Partner relationships

Managing multiple AI projects simultaneously, ensuring timely and successful delivery within budget.

Target & timeline oriented

Effectively communicating technical concepts to both technical and non-technical stakeholders, managing expectations, and building consensus.

Understanding the business context and translating business needs into technical solutions.

Other details

Educational qualifications: BE/BTech, ME/MTech, MSc (Maths / Stats), MBA/PGDM (equivalent) from distinguished Institutions

Apply Now

Refine Your Search

python lead manager jobs in remote

Manager / Area Manager Artificial Intelligence

DevOps Engineer

Revenue Operations Specialist

Data Specialist

Machine Learning Engineer

Test Lead

Technical Product Manager – AI/ML & Data Products (7+ yrs)

Salesforce Developer/Sr.Developer

Senior Lead Software Development Engineer, AI-Enabled Data Platform

AI QA Automation Engineer

Cloud Operations - Manager

Engineering Manager – Fullstack & AI Engineering

Senior DevOps Engineer Automation/Configuration Management

Solution Architect – AWS

API Gateway Migration Engineer (WSO2 to Kong)

ELK Stack Admin

Data Science - Intern

Solution Architect

Lead Data Engineer with AI experience

Forecasting Data Scientist

I want to receive the latest job alerts for python lead manager in remote

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