Role Overview
We are seeking a Machine Learning (ML) Engineer to join our expanding Data & AI team, focusing on delivering AI solutions for public sector and enterprise clients.
The ML Engineer will collaborate with data scientists, architects, software engineers, business analysts, and project managers to develop innovative AI-driven solutions.
This role offers the chance to work with a passionate team on impactful projects across various industries, helping clients achieve strategic goals through data and AI.
Responsibilities
1. Create and customize machine learning models, primarily using Azure AI services, for use cases like NLP, computer vision, speech recognition, and anomaly detection.
2. Integrate Azure AI services with other Azure tools such as Azure Machine Learning, Azure Databricks, and Azure Cognitive Search.
3. Handle data ingestion, processing, and storage for AI and analytics applications.
4. Design and develop AI agents for creating intelligent autonomous systems.
5. Optimize performance, scalability, and reliability of ML solutions using best practices.
6. Monitor and troubleshoot solutions with Azure AI Metrics Advisor, Azure Application Insights, and Azure Monitor.
7. Engage with stakeholders to understand needs and provide data-driven insights.
8. Stay updated with emerging AI and ML trends and technologies, including Agentic AI, RAG, and Image Generation.
About you
1. At least 3 years of experience in machine learning, data science, or software development.
2. Proficiency in Python, C#, and other relevant programming languages.
3. Experience with ML frameworks like TensorFlow, PyTorch, and Scikit-learn.
4. Hands-on experience with Microsoft Azure AI services.
5. Knowledge of MLOps best practices.
6. Experience with Azure data and analytics services such as Data Factory, Data Lake, and Synapse.
7. Experience designing AI solutions, including virtual assistants and autonomous systems.
8. Familiarity with cloud-based CI/CD processes.
9. Strong problem-solving, analytical, and communication skills.
10. Ability to work independently and collaboratively.
What we look for in our people
1. Alignment with FSP values and ethos.
2. Commitment to teamwork, quality, and success.
3. Proactive with energy and pace.
4. Excellent communication and interpersonal skills.
5. Strong planning and organizational skills.
6. Dedication to excellence and quality.
Why work for FSP?
* Supportive environment for growth and development.
* Tools and opportunities to produce meaningful work.
* Collaborate with industry experts sharing knowledge.
* Hybrid working model for flexibility.
* Industry-leading coaching and mentoring.
* Comprehensive benefits package.
FSP is an equal opportunity employer, welcoming applicants regardless of age, disability, sexual orientation, gender identity, family status, race, religion, or belief.
About FSP
Founded in 2012, FSP Consulting Services specializes in digital transformation, combining business strategy, change management, and digital solutions.
As a Microsoft Solutions Partner, we deliver modern workplace, cloud, data, and cybersecurity solutions to high-profile clients in both public and private sectors.
Our core values are human, inclusive, performance-driven, and ambitious, guiding our work to create positive impacts for organizations and their people.
Recognized as a top workplace by Best Companies and Great Place to Work, we pride ourselves on our employee-first culture.
Learn more about our awards at https://fsp.co/awards/
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