Role Description
:Job SummaryThePractice Lead AI & ML Engineeris responsible for leading the design, development, and deployment of production-grade Artificial Intelligence (AI) and Machine Learning (ML) solutions to solve complex business challenges. The role requires working closely with data science teams and business stakeholders to integrate AI/ML models into scalable, resilient, and secure business processes. The individual will maintain CI/CD pipelines, produce ML/DL/LLM models, and develop robust integration code to enable seamless deployment of AI solutions.
Essential Job Functions1. AI Solution Development Lead the design and implementation of productionized models (ML/DL/LLM) that meet scalability, security, and resilience requirements. Evaluate data science methodologies and ensure their alignment with business processes. Optimize AI/ML solutions for performance, reliability, and cost-efficiency.2. Research and DevelopmentStay up to date with emerging technologies, tools, and trends in AI and ML fields. Research innovative methods to integrate AI solutions into business processes. Drive the adoption of new tools, platforms, and engineering practices within the team.3. Model Monitoring and MaintenanceMonitor the performance of deployed AI/ML models and make recommendations for optimization. Troubleshoot production issues and proactively address risks in model configurations. Assist platform administrators in maintaining the health of the AI/ML ecosystem.4. Deployment Pipeline ManagementDevelop and maintain CI/CD pipelines to support Continuous Integration and Deployment processes for AI/ML models. Automated build, deployment, and validation procedures to streamline AI solution delivery. Collaborate with Infrastructure, Release Management, and DevOps teams to ensure smooth production deployments.5. Team Leadership and CollaborationLead and mentor a team of AI/ML Engineers, promoting best practices in AI/ML Ops. Collaborate with cross-functional teams, including Data Science, Product, and DevOps, to ensure successful solution delivery. Provide regular updates to stakeholders on deployment status, risks, and outcomes.Required Skills and CompetenciesStrong problem-solving capabilities with the ability to work on multiple concurrent initiatives. Agile and product-oriented development expertise. Expertise in AI/ML Ops, ML Engineering, and data science methodologies. Strong understanding of designing scalableModel-as-a-Servicesolutions. Ability to research and adopt emerging technologies and tools for AI/ML solutions. Proven leadership skills to mentor and guide a team, ensuring quality outcomes.Technical Skills:Programming:Python, SQL, R, ScalaTools & Frameworks: ML Engineering tools such asMLflow, Airflow, Langchain, Langfuse, LLM Guard. Machine Learning: Experience in predictive modeling, machine learning algorithms, and statistical techniques. Cloud Platforms: Proficiency inAzure, AWS, and containerization technologies likeDockerandKubernetes. Integration: Expertise inAPIs, deploying endpoints, and troubleshooting production deployments. Deployment Pipelines: Hands-on experience inCI/CDpipeline development and production deployments.Knowledge Areas:Understanding of ML/LLM techniques, algorithms, and data operations. Experience in deploying and monitoring scalable AI/ML solutions. Strong analytical and troubleshooting skills to diagnose deployment and performance issues.Preferred QualificationsBachelor's degree inStatistics, Mathematics, Engineering, Data Science, or Computer Science. 10+ years of experience in AI Ops, ML Engineering, Data Science, DevOps, Data Engineering, or related fields. Experience working in multidisciplinary teams on large-scale AI/ML projects.
Don’t worry if you don’t check all the boxes; we’d still love to hear from you.
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Our Perks and Benefits:
Our benefits and rewards program has been thoughtfully designed to recognize your skills and contributions, elevate your learning/upskilling experience and provide care and support for you and your loved ones.
As an Apexon Associate, you get continuous skill-based development, opportunities for career advancement, and access to comprehensive health and well-being benefits and assistance.
We also offer:
Up to 10% bonus (based on company and personal performance). An employer pension scheme 25 days holiday + Statutory bank holidays, with the option to carry forward or 'cash-in' 5 days each year Access to YuLife wellness platform, subscription to Meditopia App, premium subscription to Fiit, life coaching & emotional wellbeing sessions, 24 / 7 virtual GP Access, Employee Assistance Programme Life Insurance & Income protection Enhanced Maternity Pay & Paternity Pay Cycle to work scheme. Travel loan scheme A Tech Scheme which lets you choose from over 5000 tech products at up to a 12% discount. Free unlimited Udemy account for every employee to support their continuous learning and improvement. Support in obtaining relevant certifications.
