Staff AI Engineer

Aimlroles; Chennai; On-site; INR 4,000,000 - 8,000,000; Full time

Benefits offered by this job

Relocation assistance

Job summary

Aimlroles in Chennai, India seeks Senior AI Engineers to design, develop, and deploy AI-driven solutions for industrial challenges. Collaboration with domain experts and cross-functional teams is essential to apply GenAI, ML, and optimization techniques while ensuring scalable, production-ready results.

The role emphasizes technical judgment in tool selection, end-to-end ML lifecycle ownership, and integration with enterprise IT landscapes, including monitoring and cost considerations.

Qualifications

• Master’s degree in Engineering, Computer Science, Data Science, Applied Mathematics, or related field.
• 8+ years of overall experience in artificial intelligence, machine learning, data science, software engineering, or a comparable technical role.
• 2–4 years of professional experience in AI/ML, data science, software engineering, or a comparable technical role.
• Experience developing and deploying AI/ML solutions in industrial, technical, or other complex operational environments is preferred.

Responsibilities

• Design, develop, and implement AI solutions, including generative AI, machine learning models, neural networks, and optimization algorithms, to improve business process efficiency and effectiveness.
• Own the machine learning lifecycle: dataset construction, metrics definition, acceptance criteria in accordance with stakeholders’ needs, evaluation strategies.
• Translate business and operational needs into scalable AI-enabled tools, applications, and workflows.
• Support the deployment and integration of AI/ML models into existing business and technical systems, software environments, and products where applicable, including monitoring for drift, performance degradation, and running cost.

Skills

Python

C++

Machine learning

VS Code

Education

Master’s degree in Engineering/CS/Data Science

Tools

VS Code

Job description

Job Description Summary

GE Vernova’s Power Conversion & Storage business is at the forefront of the energy transition. We are seeking several highly skilled Senior AI Engineers to join our teams to design, develop, and deliver AI-driven solutions that improve efficiency and decision-making across our business.
In this role, you will collaborate closely with domain experts and cross-functional teams to apply artificial intelligence, generative AI, and machine learning to real-world industrial challenges, helping accelerate innovation, productivity, and operational excellence.
A defining part of the role is technical judgment; choosing the right tool for each problem: classical machine learning, deep learning, GenAI, or pure software development when needed.

Job Description

AI & ML Solution Development & Integration

• Design, develop, and implement AI solutions, including generative AI, machine learning models, neural networks, and optimization algorithms, to improve business process efficiency and effectiveness.


• Select the appropriate modelling approach for each problem and articulate the trade-offs behind that choice.


• Own the machine learning lifecycle: dataset construction, metrics definition, acceptance criteria in accordance with the stakeholders needs, evaluation strategies.


• Translate business and operational needs into scalable AI-enabled tools, applications, and workflows.


• Support the deployment and integration of AI/ML models into existing business and technical systems, software environments, and products where applicable, including monitoring for drift, performance degradation, and running cost.

Technical Implementation & Architecture

• Collaborate with domain experts to identify high-value use cases and define technical requirements for AI solutions.


• Define and document the solution architecture end to end: from data sources to the integration with the existing enterprise and technical IT landscape.


• Design cloud-ready and on-premises solutions aligned with company IT, cybersecurity and data-governance standards.


• Integrate AI/ML capabilities into hardware, software, and business process ecosystems in a way that supports reliability, usability, and maintainability.


• Contribute to the development of robust, production-ready AI solutions suitable for industrial environments.

Solution Delivery, Partner & Contractor Management

• Write clear technical specifications, statements of work, and acceptance criteria for work delivered by external contractors, software vendors, or internal digital teams.


• Contribute to supplier, platform, and tool selection through structured technical evaluation, benchmarking, and proof-of-concept comparison.


• Steer and review the work of internal & external partners: technical follow-up, design reviews, code and model reviews, quality gates, and acceptance testing; remaining the technical owner and guardian of the delivered solution.


• Ensure solutions remain maintainable after handover through documentation, knowledge transfer, and clearly assigned ownership, so that delivered tools do not become orphaned.

Data Strategy & Analytics

• Lead or support the collection, processing, structuring, and analysis of large-scale operational and business data.


• Assess data readiness ahead of any development (availability, quality, labelling needs, access rights, confidentiality) and define strategies to close the gaps.


• Identify patterns, trends, and performance improvement opportunities using advanced analytics and AI methods.


• Develop data-driven solutions such as predictive maintenance, anomaly detection, quality and performance prediction, forecasting, cost analysis, document and requirement analysis, and knowledge support tools.

Cross-Functional Collaboration

• Work closely with technical, operational, business and IT teams to ensure AI solutions meet business and industry requirements for safety, reliability, performance, and scalability.


• Communicate technical concepts clearly to both technical and non-technical stakeholders.


• Help align AI initiatives with business priorities, operational goals, and constraints.


• Support end-user adoption: training, onboarding, feedback loops and measurement of the benefits realized once the solution is live.

Continuous Innovation

• Evaluate emerging technologies such as edge AI, synthetic data, reinforcement learning, and large language models for industrial and business applicability.


• Stay current with developments in AI, machine learning, and digital tools, and recommend practical adoption opportunities.


• Maintain an active technology watch on the AI tooling landscape and filter it, distinguishing capability gains from hype before proposing adoption.


• Contribute to building an innovation-oriented culture through knowledge sharing, experimentation, and continuous improvement.

Your Profile

Education

• Master’s degree in Engineering, Computer Science, Data Science, Applied Mathematics, or a related field.

Experience

• Overall 8+ Years Experience.


• Several years (2 to 4) of professional experience in artificial intelligence, machine learning, data science, software engineering, or a comparable technical role.


• Experience developing and deploying AI/ML solutions in industrial, technical, or other complex operational environments is preferred.

Technical Expertise

• Strong programming skills in Python, C++, or similar languages, and proficiency with modern development environments such as VS Code.

Additional Information

Relocation Assistance Provided: Yes