15,196 AI Engineers jobs in India
AI Engineers
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Job Description:
Senior ProCode Agentic Developer (Azure/Open Source AI)
Role Overview:
Deliver, integrate, and support AI-driven agents and virtual assistants using Azure AI Foundry and open-source frameworks. This is a hands-on coding and delivery position, not an architecture or strategy role.
Key Responsibilities:
- Develop, deploy, and optimize agentic solutions with Azure AI Foundry and open-source LLM tools (e.g., Semantic Kernel, AutoGen etc).
- Integrate with enterprise data stores, knowledge bases (Azure Cognitive Search), and business processes.
- Manage SDLC for agentic features: requirements, implementation, testing, deployment, and support.
- Collaborate with the LoCode team, ensuring security and cross-team integration.
- Contribute to technical documentation and internal knowledge sharing.
Relevant Experience Required:
- 3+ years in software engineering (AI/ML/agentic solution focus).
- Hands-on experience in programming languages such as Python and/or C#, Azure AI services, and use of open-source LLM frameworks.
- Experience integrating secure, enterprise-grade solutions.
- Familiarity with vector databases, semantic search, and real-world data integrations.
AI Engineers
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Description
Role:
- Proven experience as an AI Developer or similar role.
- Develop and optimize deep learning models to improve operational efficiency.
- Design and implement various neural network architectures tailored to specific tasks.
- Process and visualize complex data to extract actionable insights.
- Enhance natural language processing capabilities to streamline communication and automation.
- Deploy AI solutions that integrate seamlessly with existing systems and workflows.
- Ensure AI security and compliance with industry standards.
- Provide technical leadership and mentorship to junior team members, fostering best practices and continuous learning
- Collaborate with cross-functional teams, including data scientists, software engineers, product managers, and business stakeholders, to define AI solution objectives and deliver impactful results
Qualifications
- Requirements:
- BSc/BTech/BE degree in Computer Science, Engineering, Data Science, or a relevant field.
- 5+ years of experience in AI. Proficiency in Python and relevant AI frameworks (TensorFlow, PyTorch, scikit-learn, LangChain etc)
- Ability to incorporate AI models from the initial idea to execution.
- Proficiency in mathematical principles that underpins AI algorithms and theories.
- Specialized knowledge in generative AI (GenAI) and large language models (LLMs).
- Experience in selecting, enhancing and deploying deep learning models.
- Strong understanding of neural network architectures.
- Expertise in data processing and visualization.
- Adept in natural language processing and AI security.
- Applying expertise in neural network architectures, specifically for GenAI and LLM applications.
- Build and maintain robust data pipelines for large-scale data ingestion, preprocessing, feature engineering, and model training
- Concepts on RAG and Vector DB
AI Engineers
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Role:
AI Engineers
Posted today
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Role:
AI Engineers
Posted today
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Job Description
Role Overview: We are seeking a skilled AI Engineer with 3–5 years of hands-on experience in designing, developing, and deploying AI/ML solutions in cloud environments.
The ideal candidate will have strong proficiency in Python, experience with both Azure and AWS, and a solid understanding of MLOps practices.
Key Responsibilities: Design and implement scalable AI/ML models for banking applications (e.g., fraud detection, credit scoring, customer segmentation).
Deploy and manage models in production using Azure ML and AWS SageMaker.
Collaborate with data scientists, software engineers, and DevOps teams to operationalize ML workflows.
Build and maintain CI/CD pipelines for ML model deployment and monitoring.
Ensure compliance with data governance, security, and regulatory standards.
Optimize model performance and resource usage in cloud environments.
Document processes, models, and deployment strategies for internal knowledge sharing.
Required Skills: Programming: Strong Python skills, including libraries like Pandas, NumPy, Scikit-learn, TensorFlow or PyTorch.
Cloud Platforms: Hands-on experience with Azure ML, AWS SageMaker, and cloud-native services (e.g., Lambda, EC2, S3, Azure Functions).
MLOps: Familiarity with ML lifecycle tools (MLflow, Kubeflow, Airflow), containerization (Docker), and orchestration (Kubernetes).
Deployment: Experience deploying models as REST APIs or batch jobs in production environments.
Version Control & CI/CD: Git, GitHub Actions, Azure DevOps, or AWS CodePipeline.
Monitoring & Logging: Tools like Prometheus, Grafana, or cloud-native monitoring solutions.
Preferred Qualifications: Experience in the banking or financial services domain.
Knowledge of data privacy regulations (e.g., GDPR, PSD2).
Exposure to generative AI or LLM fine-tuning is a plus.
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AI Engineers
Posted today
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Python, NLP, ML
frameworks
Python, NLP, ML
frameworks
Python, NLP, ML
frameworksPython, NLP, ML
frameworksPython, NLP, ML
frameworksPython, NLP, ML
frameworks
Python, NLP, ML
frameworks
Python, NLP, ML
frameworks
Python, NLP, ML
frameworksPython, NLP, ML
frameworks
Python, NLP, ML
frameworks
Python, NLP, ML
frameworks
Python, NLP, ML
frameworks
Requirements
• Frontend Framework: Angular
• ervers : Tomcat, Jetty, JBoss, Nginx, Apache HTTP Server
• T ols : Maven, Log4j 2, JUnit 5, Mockito, Postman, Swagger,
JMeter, Logback
• O : Windows, Linux
• V rsion Control : Git, GitHub
• I E : Eclipse, STS, IntelliJ IDEA
• M ssaging Systems : Apache Kafka
• C oud : AWS, Azure
• D vOps Tools : Docker, Kubernetes, GitLab
• F ontend Framework: Angular
• S rvers : Tomcat, Jetty, JBoss, Nginx, Apache HTTP Server
• T ols : Maven, Log4j 2, JUnit 5, Mockito, Postman, Swagger,
JMeter, Logback
• O : Windows, Linux
• V rsion Control : Git, GitHub
• I E : Eclipse, STS, IntelliJ IDEA
• M ssaging Systems : Apache Kafka
• C oud : AWS, Azure
• D vOps Tools : Docker, Kubernetes, GitLab
D365 - AI Engineers
Posted 1 day ago
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Job Description
Greetings from Tata Consultancy Services!
We are hiring D365 - AI Engineers!
Position: D365 - AI Engineers
Job Location: Chennai
Experience : 8-10 years
Interested professionals kindly apply through the link.
Must Have:
- 5+ years of experience in Dynamics CRM (Sales, Marketing, Services).
- Strong expertise in Power Platform : Model Driven Apps, Canvas Apps, Power Automate, Power Portal.
- Experience with Azure integrations : Logic Apps, Azure Functions, APIs.
- Proficiency in .NET , JavaScript , and custom plugin/workflow development .
- Familiarity with AI/ML concepts and their application in business processes
- Experience with Generative AI , LLMs , or Azure OpenAI .
- Knowledge of MLOps tools like MLflow, Docker.
- Familiarity with LangChain , RAG , or similar frameworks.
- Strong understanding of data architecture and cloud computing platforms .
Good To Have:
- Collaborate with stakeholders to align AI solutions with business goals.
- Maintain and optimize AI systems for performance and scalability.
Referrals are always welcome!
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AWS AI Engineers
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"Hiring AWS AI Engineers / Developers (3–6 yrs) – 4 to 8 positions. Hands-on with Agentic AI (LangChain, AutoGen), AWS Bedrock/SageMaker, RAG, Python/TypeScript & event-driven pipelines. Healthcare/Life Sciences AI exp. preferred."
D365 - AI Engineers
Posted 1 day ago
Job Viewed
Job Description
We are hiring D365 - AI Engineers!
Position: D365 - AI Engineers
Job Location: Chennai
Experience : 8-10 years
Interested professionals kindly apply through the link.
Must Have:
5+ years of experience in Dynamics CRM (Sales, Marketing, Services).
Strong expertise in Power Platform : Model Driven Apps, Canvas Apps, Power Automate, Power Portal.
Experience with Azure integrations : Logic Apps, Azure Functions, APIs.
Proficiency in .NET , JavaScript , and custom plugin/workflow development .
Familiarity with AI/ML concepts and their application in business processes
Experience with Generative AI , LLMs , or Azure OpenAI .
Knowledge of MLOps tools like MLflow, Docker.
Familiarity with LangChain , RAG , or similar frameworks.
Strong understanding of data architecture and cloud computing platforms .
Good To Have:
Collaborate with stakeholders to align AI solutions with business goals.
Maintain and optimize AI systems for performance and scalability.
Referrals are always welcome!
D365 - AI Engineers
Posted 5 days ago
Job Viewed
Job Description
Greetings from Tata Consultancy Services!
We are hiring D365 - AI Engineers!
Position: D365 - AI Engineers
Job Location: Chennai
Experience : 8-10 years
Interested professionals kindly apply through the link.
Must Have:
- 5+ years of experience in Dynamics CRM (Sales, Marketing, Services).
- Strong expertise in Power Platform : Model Driven Apps, Canvas Apps, Power Automate, Power Portal.
- Experience with Azure integrations : Logic Apps, Azure Functions, APIs.
- Proficiency in .NET , JavaScript , and custom plugin/workflow development .
- Familiarity with AI/ML concepts and their application in business processes
- Experience with Generative AI , LLMs , or Azure OpenAI .
- Knowledge of MLOps tools like MLflow, Docker.
- Familiarity with LangChain , RAG , or similar frameworks.
- Strong understanding of data architecture and cloud computing platforms .
Good To Have:
- Collaborate with stakeholders to align AI solutions with business goals.
- Maintain and optimize AI systems for performance and scalability.
Referrals are always welcome!