ML Engineer
Senior AI/ML Engineer leading end-to-end AI solutions, from data ingestion to model deployment, while mentoring teams and shaping AI strategy across products.
🌟 Accomplished Tech Visionary:
Embark on an exciting journey into the realm of software development with 3Pillar! We extend an invitation for you to join our team and gear up for a thrilling adventure.
As a Senior AI/ML Engineer, you will architect and oversee end-to-end AI solutions—from data ingestion to model deployment. You’ll mentor teams, guide AI strategy across products, and ensure technical excellence across all AI projects.
Key Responsibilities:
Lead a team of AI ML engineers, providing technical guidance, mentorship, and support.
Collaborate directly with client teams to understand business problems, explain technical solutions clearly, and lead the implementation of AI/ML features while representing 3Pillar’s technical excellence.
Lead technical execution of AI/ML projects from experimentation to production.
Translate business problems into AI/ML solutions and manage solution delivery.
Guide team members on model selection, evaluation, fine-tuning, and Gen AI usage.
Collaborate with product, data engineering, and software teams for integrated delivery.
Conduct code reviews, ensure best practices, and contribute to model deployment pipelines.
Maintain documentation and model governance as per responsible AI standards.
Define project goals, scope, and deliverables in collaboration with stakeholders.
Create scalable architecture and robust machine learning systems that meet business objectives of a software product.
Collaborate with cross-functional teams to integrate machine learning solutions into existing products and workflows.
Establish best practices and standards for machine learning development within the organization.
Monitor and evaluate the performance of machine learning models in production and implement improvements as needed.
Stay updated on industry trends and advancements in machine learning technologies.
Implement, deploy, optimize AI/ML algorithms and models into production environments.
Conduct experiments, perform data analysis, and present findings to stakeholders.
Minimum Qualifications:
Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field; a Master’s degree is preferred.
8+ years of experience in building AI models with ML, NLP and deep learning.
Proven track record of successfully delivering machine learning projects from concept to production.
Strong leadership, interpersonal skills, and ability to effectively communicate technical concepts to non-technical stakeholders.
Excellent problem-solving abilities and attention to detail.
Strong knowledge of AI/ML techniques, algorithms, and frameworks. Experience building and deploying ML models (classification, NLP, forecasting).
Experience with cloud platforms such as AWS, Azure, or Google Cloud.
Strong programming ski
Posted June 23, 2026