About Apexon:
Apexon is a digital-first technology services firm specializing in accelerating business transformation and delivering human-centric digital experiences. We have been meeting customers wherever they are in the digital lifecycle and helping them outperform their competition through speed and innovation.
Apexon brings together distinct core competencies – in AI, analytics, app development, cloud, commerce, CX, data, DevOps, IoT, mobile, quality engineering and UX, and our deep expertise in BFSI, healthcare, and life sciences – to help businesses capitalize on the unlimited opportunities digital offers. Our reputation is built on a comprehensive suite of engineering services, a dedication to solving clients’ toughest technology problems, and a commitment to continuous improvement.
Backed by Goldman Sachs Asset Management and Everstone Capital, Apexon now has a global presence of 15 offices (and 10 delivery centers) across four continents.
We enable #HumanFirstDIGITAL
Role Description:
Job Summary
ThePractice 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 Functions
1. 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 Development
- Stay 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 Maintenance
- Monitor 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 Management
- Develop 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 Collaboration
- Lead 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 Competencies
- Strong 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, Scala
- Tools & 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 Qualifications
- Bachelor'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.
Our Commitment to Diversity & Inclusion:
Did you know that Apexon has been Certified™ by Great Place To Work®, the global authority on workplace culture, in each of the three regions in which it operates: USA (for the fourth time in 2023), India (seven consecutive certifications as of 2023), and the UK.
Apexon is committed to being an equal opportunity employer and promoting diversity in the workplace. We take affirmative action to ensure equal employment opportunity for all qualified individuals. Apexon strictly prohibits discrimination and harassment of any kind and provides equal employment opportunities to employees and applicants without regard to gender, race, color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law.
You can read about our Job Applicant Privacy policy hereJob Applicant Privacy Policy (apexon.com)
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.
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