Remote Python lead manager Jobs – 110 Open Jobs Today

Manager / Area Manager Artificial Intelligence
Tata Steel —Remote
- Remote
- Azure
- Master's degree
- SQL
DevOps Monitoring Engineer-Configuration Management
MNJ Software —Remote
- Full-time
- Remote
- DevOps
- English
- Java
- Work from home
Applied AI Engineer (Automation)
Fusemachines —Remote
- Full-time
- Remote
- Azure
- Master's degree
- Databases
Senior Manager - DSF Enablement
AxisMaxlife —Remote
- Remote
- Microsoft Powerpoint
- Bachelor's degree
- Communication skills
5d
Machine Learning Engineer
MNJ Software —Remote
- Full-time
- Remote
- Azure
- English
- Master's degree
- Work from home
Technical Lead
Professional Reimbursement Managers —Remote
- ₹9,50,301.17 - ₹22,39,025.43 a year
- Full-time
- Remote
- Azure
- System design
- English
Quick apply
SDET II - Core Platform
HighLevel —Remote
- Remote
- Java
- Project management
- JavaScript
Lead SDET
Sprinto —Remote
- Remote
- Azure
- DevOps
- Java
Quick apply
Developer (Software / Application / Web)
MindSquare —Remote
- Remote
- Azure
- Oracle
- Computer Science
Data Specialist
YipitData —Remote
- Remote
- SQL
- Machine learning
- Communication skills
- Flexible schedule
Technical Product Manager – AI/ML & Data Products (7+ yrs)
Outsource Bigdata —Remote
- Full-time
- Remote
- Azure
- Computer Science
- Master's degree
AI QA Automation Engineer
TechGrit —Remote
- Full-time
- Remote
- Master's degree
- Machine learning
- APIs
Splunk Administrator/Developer - AppDynamics/ Java/ Python
MNJ Software —Remote
- Full-time
- Remote
- English
- Java
- Master's degree
- Work from home
Cassandra DBA
MNJ Software —Remote
- Full-time
- Remote
- Azure
- English
- Master's degree
- Work from home
Sr. Python Developer
MNJ Software —Remote
- Full-time
- Remote
- English
- Master's degree
- Databases
- Work from home
Sr Forward Deployed Engineer
Databricks —Remote
- Remote
- Azure
- AWS
- JavaScript
Manager / Area Manager Artificial Intelligence
Tata Steel Ltd —Remote
- Remote
- Azure
- Master's degree
- SQL
Quick apply
RPA Architect (Automation Anywhere)
MNJ Software —Remote
- Full-time
- Remote
- Software troubleshooting
- English
- Java
- Work from home
Engineering Manager – Fullstack & AI Engineering
Codvo.ai —Remote
- Full-time
- Remote
- Azure
- Management
- Master's degree
Quality Assurance Engineers
Venturit —Remote
- Remote
- Computer Science
- English
- Research
- Work from home
- Flexible schedule

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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 Monitoring Engineer-Configuration Management

Applied AI Engineer (Automation)

Senior Manager - DSF Enablement

Machine Learning Engineer

Technical Lead

SDET II - Core Platform

Lead SDET

Developer (Software / Application / Web)

Data Specialist

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

AI QA Automation Engineer

Splunk Administrator/Developer - AppDynamics/ Java/ Python

Cassandra DBA

Sr. Python Developer

Sr Forward Deployed Engineer

Manager / Area Manager Artificial Intelligence

RPA Architect (Automation Anywhere)

Engineering Manager – Fullstack & AI Engineering

Quality Assurance Engineers

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