1,222 AI Applications jobs in Singapore

Company Overview : TrustedHub is a leading AI and data foundation innovator dedicated to advancing artificial intelligence through cutting-edge technology and next-generation solutions. Our mission is to create a comprehensive digital ecosystem that enables organizations to work efficiently, both internally across departments and externally with business partners. With over two decades of experience, we operate as inventors, improvers, and integrators , helping corporate clients solve complex challenges quickly and effectively. We achieve this through our flagship Trusted AI Data Factory and the Trusted MultiVerse platform—a suite of products (DataVerse, KnowledgeVerse, and ActionVerse) designed to establish a legally compliant, robust AI foundation and drive impactful, next-generation AI applications.

Job Description :

AI & Applications Engineer (Hybrid .NET/Python)

We are seeking a highly skilled AI & Applications Engineer to join our team, playing a crucial, hybrid role that balances front-line application development with cutting-edge artificial intelligence integration.

This position is perfectly balanced, with responsibilities split across two critical areas:

1. Core Application Development (ASP.NET / .NET)

You will act as a skilled ASP.NET / .NET (framework and core) Developer , managing and optimizing our existing codebase, troubleshooting complex issues, and ensuring the stability, performance, and responsive design of our applications across PC, tablet, and mobile devices. You will occasionally build new websites from scratch and provide innovative insights to drive application improvements.

2. AI and Machine Learning Engineering (Python / Data)

You will function as an AI Engineer , leveraging your passion for artificial intelligence and Python to integrate machine learning models and push the boundaries of AI technology. A deep understanding of data is essential, as you will be responsible for making data relevant and important for our customers by understanding, integrating, presenting, and reporting it in meaningful ways.

The ideal candidate has a strong background in both ASP.NET/C# and Python , ready to bridge the gap between model deployment and production-ready enterprise applications.

Responsibilities :

1. Core Application Development (ASP.NET / .NET Focus)

• Application Management and Maintenance : Manage existing code , troubleshoot complex issues, and ensure stability and performance of applications.

• Web/Application Development : Build/update new websites or applications, utilizing skills in ASP.NET and .NET (framework and/or core) .

• Code Optimization : Optimize code and provide insights for improvements by thinking outside the box.

• Front-End and Design : Ensure applications adhere to a good understanding of web/application optimization and responsive design to work seamlessly on PC, tablet, and mobile devices.

• Database Management : Maintain a deep understanding of databases related to web applications.

2. AI and Machine Learning Engineering (Python / Data Focus)

• Model Integration and Advancement : Integrate machine learning models and push the boundaries of what is possible with AI technology.

• Data Relevance and Reporting : Ensure data is relevant and important for customers by understanding, integrating, presenting, and reporting data in meaningful ways.

• Data Integration : Possess a deep understanding of data integration principles to connect AI models with enterprise data sources.

Requirements :

Educational and Qualifications

• Diploma, bachelor's or master's degree in software engineering, Artificial Intelligence, Machine Learning , or a related field.

Core Technical Proficiency

• Strong Background in ASP.NET and .NET: Proven experience in developing and maintaining robust applications using the ASP.NET and .NET framework.
• AI Development Skills: Strong background and passion for artificial intelligence and machine learning (AI/ML) , including proficiency in Python for model integration.
• Database Expertise: Deep understanding of databases for web application and data management needs.
• Code Quality and Optimization: Demonstrated ability to manage existing code , troubleshoot effectively, and optimize code for stability and performance.

Application Design and User Experience

• Web/Application ptimization: Good understanding of web/application optimization principles.
• Responsive Design: Expertise in responsive design to ensure applications work seamlessly across PC, tablet, and mobile devices .
• Problem-Solving: Proven ability to think outside the box and provide innovative insights for application improvements and new development.

AI and Data Specifics

• Data Integration: Deep understanding of data integration methodologies.
• Data Presentation: Ability to understand, integrate, present, and report data in meaningful ways for customers.
• Innovation Mindset: A strong desire to push the boundaries of what's possible with AI technology.

Applications from fresh graduates are welcome.

Company Overview : TrustedHub is a leading AI and data foundation innovator dedicated to advancing artificial intelligence through cutting-edge technology and next-generation solutions. Our mission is to create a comprehensive digital ecosystem that enables organizations to work efficiently, both internally across departments and externally with business partners. With over two decades of experience, we operate as inventors, improvers, and integrators , helping corporate clients solve complex challenges quickly and effectively. We achieve this through our flagship Trusted AI Data Factory and the Trusted MultiVerse platform—a suite of products (DataVerse, KnowledgeVerse, and ActionVerse) designed to establish a legally compliant, robust AI foundation and drive impactful, next-generation AI applications.

Job Description :

AI & Applications Engineer (Hybrid .NET/Python)

We are seeking a highly skilled AI & Applications Engineer to join our team, playing a crucial, hybrid role that balances front-line application development with cutting-edge artificial intelligence integration.

This position is perfectly balanced, with responsibilities split across two critical areas:

1. Core Application Development (ASP.NET / .NET)

You will act as a skilled ASP.NET / .NET (framework and core) Developer , managing and optimizing our existing codebase, troubleshooting complex issues, and ensuring the stability, performance, and responsive design of our applications across PC, tablet, and mobile devices. You will occasionally build new websites from scratch and provide innovative insights to drive application improvements.

2. AI and Machine Learning Engineering (Python / Data)

You will function as an AI Engineer , leveraging your passion for artificial intelligence and Python to integrate machine learning models and push the boundaries of AI technology. A deep understanding of data is essential, as you will be responsible for making data relevant and important for our customers by understanding, integrating, presenting, and reporting it in meaningful ways.

The ideal candidate has a strong background in both ASP.NET/C# and Python , ready to bridge the gap between model deployment and production-ready enterprise applications.

Responsibilities :

1. Core Application Development (ASP.NET / .NET Focus)

· Application Management and Maintenance : Manage existing code , troubleshoot complex issues, and ensure stability and performance of applications.

· Web/Application Development : Build/update new websites or applications, utilizing skills in ASP.NET and .NET (framework and/or core) .

· Code Optimization : Optimize code and provide insights for improvements by thinking outside the box.

· Front-End and Design : Ensure applications adhere to a good understanding of web/application optimization and responsive design to work seamlessly on PC, tablet, and mobile devices.

· Database Management : Maintain a deep understanding of databases related to web applications.

2. AI and Machine Learning Engineering (Python / Data Focus)

· Model Integration and Advancement : Integrate machine learning models and push the boundaries of what is possible with AI technology.

· Data Relevance and Reporting : Ensure data is relevant and important for customers by understanding, integrating, presenting, and reporting data in meaningful ways.

· Data Integration : Possess a deep understanding of data integration principles to connect AI models with enterprise data sources.

Requirements :

Educational and Qualifications

• Diploma, bachelor’s or master’s degree in software engineering, Artificial Intelligence, Machine Learning , or a related field.

Core Technical Proficiency

• Strong Background in ASP.NET and .NET: Proven experience in developing and maintaining robust applications using the ASP.NET and .NET framework.
• AI Development Skills: Strong background and passion for artificial intelligence and machine learning (AI/ML) , including proficiency in Python for model integration.
• Database Expertise: Deep understanding of databases for web application and data management needs.
• Code Quality and Optimization: Demonstrated ability to manage existing code , troubleshoot effectively, and optimize code for stability and performance.

Application Design and User Experience

• Web/Application ptimization: Good understanding of web/application optimization principles.
• Responsive Design: Expertise in responsive design to ensure applications work seamlessly across PC, tablet, and mobile devices .
• Problem-Solving: Proven ability to think outside the box and provide innovative insights for application improvements and new development.

AI and Data Specifics

• Data Integration: Deep understanding of data integration methodologies.
• Data Presentation: Ability to understand, integrate, present, and report data in meaningful ways for customers.
• Innovation Mindset: A strong desire to push the boundaries of what's possible with AI technology.

Applications from fresh graduates are welcome.

Key Responsibilities

• Develop and customize automation and imaging software applications for industrial and customer use.
• Collaborate with clients to understand requirements and deliver tailored automation solutions .
• Conduct feasibility testing and system validation for image analytics and quality systems .
• Research and adopt cutting-edge AI, deep learning, and 3D imaging technologies.
• Provide technical training and troubleshooting support for internal and external teams.

Requirements

• Diploma or Degree in Engineering (Electrical, Mechatronics, Software, or similar disciplines).
• Strong programming experience in C++ and C# .
• Familiarity with AI-driven imaging, automation, or data analytics systems is a plus.

We appreciate your interest and look forward to reviewing your application. Due to high application volume, only shortlisted candidates will be contacted — thank you for your understanding!

WeCruit Pte Ltd | EA License No. 20C0270

EA Personnel: Tan Soon Hock (Steven) | Registration No. R

Job Description

• Architect & ship AI agent services - Design Python/TypeScript microservices that orchestrate LLMs (OpenAI, Claude, open-source), vector databases, and payment APIs.
• Automate merchant-specific tuning - Build pipelines that ingest merchant data (e.g. reviews, support transcripts, transaction logs) to fine-tune or RAG-augment models automatically.
• Create self-serve tooling for Ops - Develop chat-based or low-code UIs that let our ops team "teach" and monitor agents — no code required.
• Own the AI / ML lifecycle - Handle model versioning, evaluation (online/offline), monitoring, rollback, and performance/cost optimization.
• Move from zero one scale - Stand up lightweight infrastructure today; scale it to serve thousands of merchants tomorrow.
• Set the bar for engineering excellence - Establish high standards for code quality, system design, and team culture. Mentor early team members.

Requirements

• Proven 10× builder with 5–10+ years of experience shipping production systems — and a continued love for hands-on coding.
• LLM experience in production, including building or fine-tuning models with OpenAI, Claude, Llama 3, or similar, and shipping at least one LLM-powered feature.
• Strong data intuition, with experience designing labeling strategies, feedback loops, and evaluation harnesses to maintain model quality.
• Service-oriented engineering mindset, writing clean, tested Python (or similar) and building APIs that other engineers enjoy using.
• Bias toward automation, with a focus on building agents and workflow tools that eliminate repetitive tasks.
• Excellent collaboration and communication skills to work effectively with cross-functional teams.
• Experience in payments, risk, or blockchain; infra-as-code tools like Terraform or Pulumi; GPU cost optimization; or TypeScript/React for internal tools is a bonus.

Company Summary :

ELGO AI is a fast-growing startup redefining how enterprises build and deploy AI. We offer a powerful no-code enterprise-grade GenAI platform that enables organizations to create custom LLM-powered applications such as chatbots, smart document workflows, and automation agents 10x faster than traditional methods. Abstracting away the complexities of a production GenAI system, we aim to simplify enterprise AI adoption by making advanced GenAI capabilities accessible to non-technical teams. We are passionate about workflow orchestration, context-aware agents, full transparency and observability layer, scalable designs and enterprise-grade deployment, all grounded in responsible, secure, and user-centric design. Our vision is to become the go-to operating platform for practical AI solutions in Asia Pacific.

Job Description:

As an AI Engineer, you’ll play a key role in the development and optimization of ELGO’s no-code platform and LLM-based workflows. Instead of model training or fine-tuning, your focus will be on building reusable, configurable, and scalable LLM-powered components and highly optimized task agents that can be orchestrated by users without writing code. We also constantly push the frontiers on LLM techniques and designs to ensure that our agents are state-of-the-art.

You’ll work closely with our CTO and engineering team to implement advanced LLM workflows, multi-agent logic, evaluation mechanisms, and performance monitoring that power real-world business applications.

The ideal person for the role would love the fast-changing and dynamic environment, working with new technologies and translating that into real world impact. He/she would also enjoy the opportunity to work on multiple real-world LLM systems, and constantly push him/herself to be better. He/she is would also be extremely proactive, both in working and learning.

Caution: this is likely going to be the toughest role ever you would have in your life, but it could also be the most rewarding.

Roles & Responsibilities:

· Develop and optimize backend systems for LLM workflow orchestration (retrieval, chaining, evaluation, memory, task-based agent optimizations).

· Implement reusable components (e.g., retrieval nodes, validation agents, evaluators) to power the no-code platform.

· Integrate and manage third-party models (e.g., OpenAI, Anthropic, AWS Bedrock, open-source models).

· Develop and maintain multi-agent and tool-augmented AI workflows for common enterprise use cases.

· Work on document processing, cross-system integrations, RAG pipelines, contextual memory management, and prompt engineering best practices.

· Research and development new techniques to tackle the toughest problems in LLM applications.

· Collaborate with front-end and platform engineers to support the no-code interface.

· Conduct systematic evaluations and performance tracking of LLM applications in production.

· Stay updated with emerging GenAI and agentic framework trends.

Requirements:

Core Requirements

· Bachelor's degree in Computer Science, AI/ML Engineering, or equivalent experience with about 2-4 years relevant working experience. Candidates without formal education but with strong practical experience are welcomed.

· Strong Python programming skills with experience in).

· Experience in building production-grade RAG applications and integrating with APIs.

· Familiarity with databases (e.g., PostgreSQL, MongoDB, Redis).

· Foundational programming knowledge (Git, Docker, OOP, FastAPI).

· Understanding of LLM architecture and practical applications.

Key Traits

· Strong problem-solving and systems thinking.

· Bias for action and comfort working in a fast-paced startup environment.

· Clear communication and collaborative mindset.

· Curiosity and openness to new ideas and technologies.

· Willingness to contribute beyond code – including product feedback, customer empathy, and roadmap planning.

Optional Requirements

· Familiarity with vector databases (e.g., Qdrant, Weaviate, Pinecone etc.).

· Experience building agentic workflows or using any frameworks like LangChain, Langgraph, CrewAI, AutoGen, Vercel SDK, OpenAI Agents SDK etc.

· Good understanding about transformers, LLMs, multi-agent systems, tool uses/function calling.

· Prior work with evaluation frameworks for LLM performance and safety.

What We Offer:

· A front-row seat to building the next generation of enterprise GenAI tooling and real-world applications.

· The opportunity to be part of a small but elite team of Asia's most promising GenAI startups.

· Exposure to real-world challenges and impactful deployments.

· A supportive and transparent team environment that values outcomes over hours. No politics, full focus on solving real problems.

· Growth opportunities across product, engineering, AI and R&D.

The Interview Process:

· There will be a total of 3 rounds of interview:

o 1st round: 30 minutes of general Q&A with the CEO

o 2nd round: 60 minutes technical session, where you will be given a real problem and is required to code out the solution within 30 minutes. Technical Q&A for the remaining time.

o 3rd round: 15 minutes for work arrangements and compensation package discussions.

Joining Razer will place you on a global mission to revolutionize the way the world games. Razer is a place to do great work, offering you the opportunity to make an impact globally while working across a global team located across 5 continents. Razer is also a great place to work, providing you the unique, gamer-centric #LifeAtRazer experience that will put you in an accelerated growth, both personally and professionally.

We are seeking a passionate and driven AI Engineer Intern to join the Razer IT Applications team. This internship offers a unique opportunity to gain hands-on experience in applying artificial intelligence to real-world business challenges.

Roles and Responsibilities

• Collaborate with cross-functional teams to design and implement AI projects using AI technologies
• Develop and fine-tune NLP models for chatbots, virtual assistants, and automation
• Integrate AI solutions with Microsoft ecosystems, enterprise applications, and 3rd party system to simulate real-world use cases
• Analyze user interactions and feedback to improve flows and model performance
• Explore and evaluate third-party APIs, LLMs, and frameworks for rapid prototyping
• Test AI implementations to ensure functionality, accuracy, and performance across different environments
• Document findings, present demos, and contribute to technical reports on project outcomes
• Other duties as assigned

Desired Skills and Experience

• Currently pursuing a degree in Computer Science, Artificial Intelligence, Data Science, or a related field
• Strong foundation in Python and experience with ML/NLP libraries
• Familiarity with LLMs, prompt engineering, and chatbot frameworks
• Understanding of RESTful APIs and basic web technologies.
• Excellent problem-solving skills and a curiosity for emerging AI trends.
• Strong communication skills and ability to work in a collaborative environment.

Are you game?

Joining Razer will place you on a global mission to revolutionize the way the world games. Razer is a place to do great work, offering you the opportunity to make an impact globally while working across a global team located across 5 continents. Razer is also a great place to work, providing you the unique, gamer-centric #LifeAtRazer experience that will put you in an accelerated growth, both personally and professionally.

We are seeking a visionary and technically skilled AI Lead who leads the design, development, and governance of enterprise-grade AI solutions, with a strong focus on Microsoft technologies. This role is ideal for a strategic thinker and hands-on technologist who thrives in driving innovation, ensuring compliance, and delivering scalable AI systems that transform business operations.

As a core member of the AI team, you will lead the technical strategy, establish best practices for AI governance, and collaborate with cross-functional teams to deliver impactful solutions. Your expertise in Microsoft Azure AI services, Power Platform, and MLOps will be central to success in this role.

• Lead the architecture and implementation of AI solutions using Microsoft Azure technologies, ensuring scalability, security, and seamless integration with enterprise platforms
• Drive AI governance and compliance, including ethical AI practices, model transparency, explainability, and alignment with regulatory frameworks
• Champion Microsoft AI capabilities, including Azure OpenAI Service, Azure Cognitive Services, Azure Machine Learning, and Power Platform Copilot Studio
• Collaborate with business stakeholders to identify AI opportunities, translate requirements into technical solutions, and advise on emerging Microsoft AI trends
• Oversee end-to-end AI development, including data exploration, model training, validation, deployment, and lifecycle management using MLOps best practices.
• Manage production operations for AI systems, including monitoring, incident response, and change management
• Promote technical excellence through code reviews, documentation, and continuous improvement of AI models and processes
• Mentor and guide team members, fostering a culture of innovation, collaboration, and knowledge sharing
• Other duties as assigned

• Bachelor's degree in computer science, data science, information technology, or a related field
• Minimum 5 years of hands-on experience in AI/ML architecture and development, with a strong emphasis on Microsoft technologies
• In-depth knowledge of MLOps practices, including model deployment, monitoring, and lifecycle management
• Demonstrated expertise with Azure AI services, such as Azure OpenAI, Azure Cognitive Services, Azure Machine Learning, and Azure AI Foundry
• Strong proficiency in Microsoft Power Platform: Power Apps, Power Automate, Power BI, Dataverse, and Copilot Studio
• Solid programming skills in Python, with familiarity in key ML and data science libraries
• Experience with Microsoft development tools and technologies: Visual Studio / VS Code, C# / .NET, TypeScript / JavaScript, SQL Server / T-SQL
• Familiarity with AI governance frameworks and bias mitigation techniques
• Excellent communication skills and proven ability to engage effectively with stakeholders
• Self-motivated, results-driven, and comfortable working in a globally distributed team environment
• Experience with AWS | GCP AI/ML services and multi-cloud architecture is a plus
• Relevant certifications such as Azure AI Engineer, Azure Data Scientist, or AWS Machine Learning Specialty are a plus

Are you game?

Joining Razer will place you on a global mission to revolutionize the way the world games. Razer is a place to do great work, offering you the opportunity to make an impact globally while working across a global team located across 5 continents. Razer is also a great place to work, providing you the unique, gamer-centric #LifeAtRazer experience that will put you in an accelerated growth, both personally and professionally.

A visionary and technically skilled AI Lead who leads the design, development, and governance of enterprise-grade AI solutions across multiple cloud platforms. This role requires deep expertise in Microsoft technologies and AWS, a strong foundation in AI/ML frameworks, and experience with data engineering and scalable architecture design.

As a core member of AI team, the ideal candidate will drive the technical strategy, establish best practices for AI governance and compliance, and collaborate closely with data engineers, integration teams, and business stakeholders. This is a hands-on leadership role, ideal for someone who can balance strategic vision with technical execution, and who is passionate about building robust, secure, and future-proof AI systems.

A visionary and technically skilled AI Lead who leads the design, development, and governance of enterprise-grade AI solutions across multiple cloud platforms. This role requires deep expertise in Microsoft technologies and AWS, a strong foundation in AI/ML frameworks, and experience with data engineering and scalable architecture design.

As a core member of AI team, the ideal candidate will drive the technical strategy, establish best practices for AI governance and compliance, and collaborate closely with data engineers, integration teams, and business stakeholders. This is a hands-on leadership role, ideal for someone who can balance strategic vision with technical execution, and who is passionate about building robust, secure, and future-proof AI systems.

Roles and Responsibilities

• Architect and implement enterprise AI solutions across multi-cloud environments, ensuring system scalability, security, performance, and seamless integration with existing platforms.
• Establish and enforce AI governance frameworks, including compliance, ethics, transparency, explain ability, and model risk management.
• Advise business leadership on AI best practices, emerging technologies, and the impact of AI on business processes and tools.
• Lead hands-on development activities such as data exploration, model design, training, validation, and deployment to production.
• Own production operations include monitoring, incident response, change management, and execution of AI-related projects.
• Evaluate change requests, estimate effort and cost, and assess impacts on business controls, technology platforms, and workflows to ensure strategic alignment.
• Drive continuous improvement in AI processes and model performance, conduct comprehensive testing (Unit to Disaster Recovery), and uphold technical standards through code reviews and documentation.
• Collaborate cross-functionally, working with data engineers, integration teams, and business stakeholders to translate complex business requirements into technical solutions while mentoring team members and promoting knowledge sharing across the organization.

Desired Skills and Experience

• Bachelor's or master's degree in computer science, data science, information technology, or a related field, with 5+ years of experience in both AI/ML architecture and hands-on machine learning development.
• Strong foundation in machine learning and familiarity with deep learning techniques and frameworks.
• Proven experience with MLOps practices and end-to-end model lifecycle management, including deployment, monitoring, and retraining.
• In-depth knowledge of AI governance, including regulatory frameworks such as GDPR, the EU AI Act, and methodologies for bias detection and mitigation.
• Demonstrated ability to design robust and scalable AI system architectures across cloud platforms including Microsoft Azure and AWS.
• Proficient in Python and experienced with common ML and data science libraries; capable of deploying AI solutions and integrating with enterprise systems.
• Working knowledge of Azure AI services (Azure OpenAI Service, Azure Cognitive Services, Azure Machine Learning, Azure AI Foundry, and Applied AI Services).
• Working knowledge of Microsoft Power Platform components including Copilot Studio, Power Apps, Power Automate, Power BI, and Dataverse.
• Experience with Microsoft development tools, such as Visual Studio / VS Code, C# / .NET, TypeScript / JavaScript, and SQL Server / T-SQL.
• Certifications in Azure or AWS AI/ML tracks are plus.
• Excellent communication and stakeholder engagement skills, with the ability to translate complex technical concepts into actionable business insights.
• Self-motivated and results-oriented, with the ability to work independently and collaboratively in a globally distributed team.
• Proven ability to prioritize and multitask in a fast-paced, dynamic enterprise environment.
• Other duties as required.

Are you game?

Crédit Agricole Corporate and Investment Banking (Crédit Agricole CIB) is the corporate and investment banking arm of Crédit Agricole Group, world’s 10th largest bank by total assets.

Our Singapore center ("ISAP" or "Information Systems Asia Pacific") is the 2nd largest IT setup (after Paris Head Office) for Crédit Agricole CIB's worldwide business. We work daily with international branches located in 30 markets by:

• Envisioning and preparing the Bank’s futures information systems
• Partnering and supporting core banking flagships and transverse areas in their large scale development projects
• Providing premium In-house Banking applications

This unique positioning empowers us to bring our core banking business a sustainable competitive advantage on the market.

We seek innovative and agile people sharing our mindset to support ambitious and forthcoming technological challenges.

Position

In a challenging and multicultural environment, we are looking for a Machine Learning /AI Engineer to join our Digital Excellence Centre (DEC) department of Crédit Agricole CIB. The department handles the development of transversal and international projects.

We are looking for a seasoned Machine Learning Engineer with a strong background in data science and applied ML , who can design, build, and deploy end-to-end machine learning solutions. This hybrid role requires a hands-on expert who can not only build models when needed but also engineer scalable, production-grade ML systems while adhering to the organization's AI governance and compliance standards.

Main responsibilities

• Collaborate with data scientists and business stakeholders to understand use cases and define ML solution; work on Proof of Concepts wherever needed
• Engineer and deploy ML models into production using MLOps best practices (model versioning, monitoring, CI/CD, etc.).
• Build & maintain data pipelines and model performance for scalability and maintainability.
• Ensure all models adhere to organizational AI policies, responsible AI practices, and audit requirements.
• Support data exploration, feature engineering, and occasional model building where needed.
• Automate model retraining, testing, and monitoring to ensure performance over time.
• Document ML workflows, governance checkpoints, and risk assessments.
• Partner with DevOps, IT, and security teams to integrate solutions into enterprise platforms.

The position requires autonomy and reliability in performing duties while maintaining close communication with rest of stake-holders.

Qualifications and Profile

• 5 years of experience in data science and machine learning, with at least 3+ years in ML engineering roles .
• Proven experience in end-to-end ML lifecycle : data wrangling, model development, deployment, and monitoring.
• Strong programming skills in Python (pandas, scikit-learn, TensorFlow/PyTorch, etc.).
• Strong knowledge in NoSQL databases (any experience in Graph database is desirable)
• Experience with MLOps tools : MLflow, TFX, Airflow, Kubeflow, or similar.
• Familiarity with cloud platforms (GCP, AWS, or Azure) for ML deployment.
• Knowledge of data science techniques including supervised/unsupervised learning, NLP, time series, etc.
• Experience with CI/CD pipelines and containerization (Docker, Kubernetes).
• Strong understanding of AI governance, model risk management , and regulatory requirements in AI.
• Ability to communicate technical concepts to non-technical stakeholders.

Good to have:

• Experience with Responsible AI frameworks and bias/fairness testing.
• Exposure to feature stores , model registries , and data versioning .
• Knowledge of data privacy, anonymization, and compliance in regulated industries (e.g., banking, healthcare).

Mid-Senior level

Full-time

Information Technology

Banking, Financial Services, and Technology, Information and Media