Remote Deep learning engineer Jobs – 97 Open Jobs Today

Manager / Area Manager Artificial Intelligence
Tata Steel —Remote
- Remote
- Azure
- Master's degree
- SQL
Lead Salesforce Developer
3Pillar —Remote
- Full-time
- Remote
- Salesforce
- English
- Java
12d
Associate Principal Engineer, Salesforce Health Cloud
Nagarro —Remote
- Full-time
- Remote
- Azure
- Computer Science
- Salesforce
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6d
Principal Engineer, Python fullstack (React+Genai)
Nagarro —Remote
- Full-time
- Remote
- Azure
- Computer Science
- System design
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12d
Manager / Area Manager Artificial Intelligence
Tata Steel Ltd —Remote
- Remote
- Azure
- Master's degree
- SQL
Quick apply
Senior Python Engineer
Ciklum —Remote
- Full-time
- Remote
- Java
- Master's degree
- AWS
- Health insurance
7d
Senior MLOps Engineer
Versatile People —Remote
- Full-time
- Remote
- Azure
- Computer Science
- DevOps
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Senior Staff Engineer, Salesforce Health Cloud
Nagarro —Remote
- Full-time
- Remote
- Azure
- Computer Science
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6d
Java Technical Lead
3Pillar —Remote
- Full-time
- Remote
- Oracle
- Java
- SQL
Director, Quality Engineering & AI Testing
Netomi —Remote
- Full-time
- Remote
- Master's degree
- AWS
- Machine learning
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Data Scientist
Rulesiq —Remote
- Full-time
- Remote
- Computer Science
- System design
- Master's degree
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Senior Backend Developer
Gnani Innovations —Remote
- Remote
- Azure
- Master's degree
- AWS
Sr. PHP Developer
cnv ai labs inc —Remote
- ₹30,000 - ₹50,000 a month
- Full-time
- Remote
- Computer Science
- Software troubleshooting
- Analysis skills
- Health insurance
- Work from home
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6d
Python Lead - Manager
Kelp Infotech Private Limited —Remote
- ₹15,00,000 - ₹20,00,000 a year
- Full-time
- Remote
- Oracle
- Management
- Computer Science
- Flexible schedule
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1d
Senior Software Engineer, Backend- India
JumpCloud —Remote
- Full-time
- Remote
- English
- AWS
- Machine learning
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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

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deep learning engineer jobs in remote

Manager / Area Manager Artificial Intelligence

Lead Salesforce Developer

Associate Principal Engineer, Salesforce Health Cloud

Principal Engineer, Python fullstack (React+Genai)

Manager / Area Manager Artificial Intelligence

Senior Python Engineer

Senior MLOps Engineer

Senior Staff Engineer, Salesforce Health Cloud

Java Technical Lead

Director, Quality Engineering & AI Testing

Data Scientist

Senior Backend Developer

Sr. PHP Developer

Python Lead - Manager

Senior Software Engineer, Backend- India

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