Highlights
Designing ML models, optimizing AI agents, deploying services on GCP.
Description
Job Summary
pAs an AIML Engineer, you will design and implement AI/ML models and generative AI applications to address complex business challenges. You'll work with cutting-edge technologies to build scalable machine learning solutions, optimize AI agents, and deploy robust services on Google Cloud Platform.
Responsibilities
- Design and implement AI/ML models and generative AI applications for complex business problems.
- Develop and optimize AI agents, LLM-based systems, and RAG pipelines.
- Create scalable machine learning solutions using transformer architectures and modern AI frameworks.
- Deploy and maintain AI services on Google Cloud Platform to ensure performance, reliability, and scalability.
- Collaborate with cross-functional teams to integrate AI capabilities into production systems.
Required Skills
- Python for AI/ML development
- Machine learning algorithms and model training
- Experience with Large Language Models (LLMs)
- Transformer models and RAG systems
- Google Cloud Platform deployment experience
Required Skills Explained
- Strong proficiency in Python for AI/ML development.
- Deep understanding of machine learning algorithms, model training, and evaluation.
- Hands-on experience with Large Language Models (LLMs) and generative AI techniques.
- Experience building AI agents, implementing RAG systems, and working with transformer models.
- Practical experience deploying and managing AI workloads on Google Cloud Platform (GCP).
Who is this for
pThis role is ideal for a skilled AI/ML engineer who thrives in a dynamic environment, enjoys working on cutting-edge technologies, and has a passion for building scalable AI solutions.
Why This Job is a Good Opportunity
ulliA chance to work with cutting-edge technologies in the field of AI/ML.liOpportunity to collaborate with cross-functional teams and contribute to innovative projects.liDiverse and dynamic environment that fosters continuous learning and growth.liCompetitive salary and benefits package, including potential for stock options.liGlobal exposure through working on international client projects across various industries.
Interview Preparation Tips
- Prepare examples of your previous experience with Python in AI/ML projects.
- Be ready to discuss case studies related to machine learning algorithm development and model evaluation.
- Showcase your hands-on experience with LLMs and generative AI techniques through specific projects.
- Discuss any experience you have with building AI agents, RAG systems, or working with transformer models.
- PRACTICE explaining how you have deployed and managed AI workloads on Google Cloud Platform (GCP).
Career Growth in This Role
ppAs an AIML Engineer at Actalent, there are numerous opportunities for career growth. The role provides a platform to develop leadership skills through managing complex AI/ML projects and leading cross-functional teams.ppYou can advance your expertise by staying updated with the latest advancements in AI technologies and techniques. Additionally, you may have the chance to move into more senior positions such as Senior AIML Engineer or Technical Lead, where you could manage a team of engineers and influence product development strategies.
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Skills
Frequently Asked Questions
What experience is required for this position?Candidates should have hands-on experience with Python, machine learning algorithms, LLMs, transformer models, and Google Cloud Platform.
Will there be opportunities for professional growth within the company?Yes, Actalent offers a range of growth opportunities including mentorship programs, training sessions, and career advancement options.
What kind of work environment can I expect?The role involves collaborating with cross-functional teams and working on innovative projects. We maintain an inclusive and dynamic work atmosphere.
