AI Engineer

• Deliver end-to-end AI solutions by designing training and deploying Machine Learning models and AI systems
• Collaborate with cross-functional teams including backend/frontend engineers product managers and contribute to architectural decisions.
• Preprocess and analyse large datasets from structured and unstructured sources.
• Develop data pipelines and model training infrastructure.
• Optimize model performance and scalability in production environments.
• Implement CI/CD workflows for model versioning and deployment.
• Assess and apply adoption of low-/no-code platforms like Copilot Studio to accelerate AI solution delivery and integrate with existing ML systems.
• Understand cloud-native architecture concepts and have knowledge of best practices for high availability scalability resilience performance and security requirements in the cloud.
• Stay current with industry trends and academic research to integrate state-of-the-art techniques.
• Ensure compliance with data security data privacy regulations and ethical AI practices.

Qualifications :

• Bachelors or Masters degree in Computer Science Data Science Artificial Intelligence or related fields
• 25 years of experience in AI/ML engineering or applied machine learning.
• Proficiency in Python with knowledge of ML libraries
• Experience with deep learning frameworks (e.g. TensorFlow)
• Strong knowledge of data structures algorithms and software engineering principles.
• Experience with cloud platforms (Azure AWS) and ML ops tools (e.g. Azure Machine Learning MLflow)
• Familiarity with containerization and orchestration (Docker Kubernetes)
• Proficiency in RESTful API development and strong understanding of SQL and relational database design.
• Demonstrated problem-solving ability with a proactive mindset and eagerness to continuously learn new technologies
• Knowledge of regulatory and security considerations when delivering AI-enabled digital services
• Effective communication skills able to explain technical concepts to non-technical stakeholders.
• Collaborative mindset and willingness to mentor or guide team members

Desirable experience & skills

• Experience with cloud platforms (AWS Azure GCP) and containerization (Docker Kubernetes).
• Experience in end-to-end AI solution lifecycle: problem definition data collection model development deployment and monitoring.
• Work on scalable AI/ML projects across company functions and technical domains such as NLP computer vision predictive analytics or recommendation systems.
• Contributions to open-source AI projects or research publications.
• Experienced in AI/ML strategy technology selection and model governance standards.
• Experienced in Agile development cycles and DevOps practices

Additional Information :

At Version 1 we believe in providing our employees with a comprehensive benefits package that prioritises their well-being professional growth and financial stability. 

One of our standout advantages is the ability to work with a hybrid schedule along with business travel allowing our employees to strike a balance between work and life. We also offer a range of tech-related benefits including an innovative Tech Scheme to help keep our team members up-to-date with the latest technology. 

We prioritise the health and safety of our employees providing private medical and life insurance coverage as well as free eye tests and contributions towards glasses. Our team members can also stay ahead of the curve with incentivized certifications and accreditations including AWS Microsoft Oracle and Red Hat. 

Our employee-designed Profit Share scheme divides a portion of our companys profits each quarter amongst employees. We are dedicated to helping our employees reach their full potential offering Pathways Career Development Quarterly a programme designed to support professional growth. 

This is an opportunity to join one of the fastest-growing IT Services Consultancies in India.

PLUS many more exciting benefits drop us a note to find out more.  

Pooja Murugan
#LI-PM3

Remote Work :

No

Employment Type :

Full-time