Machine Learning Engineer

We are seeking exceptional individuals who are passionate about software development, large-scale data analytics, and driving AI-led innovation within organizations.

Ideal candidates will demonstrate:

• 4+ years of experience in a technology consulting environment
• Strong ability to apply software development best practices and standards to build robust, maintainable solutions
• Hands-on involvement throughout the entire software development lifecycle
• Proven experience in guiding non-technical teams and consultants on best practices for scalable and reliable software development
• Expertise in optimizing algorithms and software design for computational efficiency
• Motivation to thrive in a fast-paced, client-focused environment , engaging directly with clients to shape new features for future product releases
• A collaborative mindset, eager to share ideas and co-create solutions within teams
• A natural problem-solver with intellectual curiosity across diverse industries and topics
• Master’s degree or PhD in a relevant field (please provide all academic certificates, including A-level, Bachelor, Master, and PhD, with final grades)

Additional Responsibilities:

• Design and build data & AI platforms for clients, enabling data and generative AI capabilities across multiple use cases and organizational functions
• Contribute to large-scale AI transformation programs , often as part of strategic journeys led by BCG
• Work across key engineering disciplines:
• Cloud Engineering
• Data Engineering (framework design, not just pipelines)
• DevOps
• MLOps / LLMOps

Technologies you’ll often work with:

• Cloud Platforms: Azure, AWS, GCP
• Data Tools: Airflow, dbt, Databricks, Snowflake
• Developer Tooling & CI/CD: GitHub, Azure DevOps, Terraform (or other Infrastructure-as-Code tools)
• MLOps / LLMOps Frameworks: MLflow, AzureML, LangSmith, La