Lead Machine Learning Engineer (ML Ops) - IFS Colombo

Lead Machine Learning Engineer (ML Ops) 

Job Description:

This role is all about hands-on technical prowess. You’ll be in the driver’s seat, working with autonomy, accountability, and technical brilliance. Your mission includes:

• Identify High-Value AI/ML Prospects: Spot high-value AI/ML opportunities within our product offerings. 
• Guide AI/ML Technology Trends: Serve as the AI/ML expert, guiding the team towards the latest and greatest technology trends. 
• Shape the roadmap by providing estimates and implementation strategies. 
• Develop and Integrate Data Science Projects: Craft and integrate data science projects from the ground up. 
• From framing problems and experimenting with proofs of concept to the grand finale of implementation, ensure scalability and top-tier performance. 
• Collaborate with Cross-Functional Teams: Work closely with Data Engineers, ML Engineers, Software Engineers, Solution Architects, and Product/Program Managers to define, create, deploy, monitor, and document ML models that are both tailored and industry-leading. 
• Evangelize AI/ML Technology: Become an AI/ML evangelist. Shine on the conference stage, host webinars, and pen compelling white papers and blogs. Share discoveries with clients and internal stakeholders, offering actionable insights that drive change.

Essential Duties:

• Assist in the execution of internal audits from planning through to reporting in line with the annual internal audit plan. 
• Prepare audit work programs and audit findings that clearly and accurately reflect audit results with pragmatic recommended actions. 
• Obtain, analyse and evaluate process documentation, reports and financial data. Document audit process workflows and prepare audit findings. 
• Present Audit Findings to stakeholders articulating risks and providing recommended action plans. 
• Maintain communication and build good relationships with stakeholders. 
• Participate and contribute to meetings with different functions and legal entities in order to update audit findings and improve on the audit process. 
• Perform follow-up activities to validate completion of actions from previous audits. Assist with the evaluation of the internal controls of the Group. 
• Perform other related tasks as assigned by the management.

Qualifications:

• Experience: 5+ years of machine learning (ML) expertise for Lead, demonstrated through successfully completed projects. 
• AI/ML Solutions: Expertise in bringing AI/ML solutions to production, including scoping, design, development, testing, deployment, and monitoring. 
• Cloud ML Solutions: Knowledge in creating and delivering Cloud ML solutions at scale using Docker, Kubernetes, and cloud services (e.g., AWS, Azure, GCP). 
• Model Deployment: Experience with model deployment and serving tools like Seldon Core and KServe. 
• Model Monitoring: Expertise in monitoring models and evaluating metrics to drive optimizations using tools like Elastic Stack, Prometheus, and Alibi Detect. Software Engineering and DevOps: Solid background in software engineering, DevOps, and MLOps practices, with familiarity in managing infrastructure as code using tools like Terraform and Helm Charts. 
• Scripting: Expertise in scripting (shell) to automate tests and procedures, ensuring reliability and validity of code repositories. 
• Pipeline Orchestration: Proficiency with pipeline orchestration tools, such as Airflow, Kubeflow, and Argo Workflows. 
• Programming Skills: Proficiency in Python, C#, and ML libraries and tools such as Semantic Kernel, LangChain, Keras, TensorFlow, and PyTorch. 
• ML Experiment Tracking: Familiarity with ML experiment tracking and collaboration tools, such as MLflow and Weights & Biases. 
• Data Handling: Skills in data handling and feature engineering, with the ability to use big data technologies such as Spark, Dask, and Polars. 
• Communication Skills: Outstanding communication skills, with the ability to convey complex technical concepts to non-technical stakeholders and work effectively with cross-functional teams. 
• Soft Skills: A results-driven attitude, a passion for innovation, and a proactive, self-starting nature. 
• Strong organizational skills, capable of juggling multiple tasks, and a strategic thinker always on the hunt for the next big thing.

Additional Information:

• We embrace flexibility and hybrid work opportunities to support diverse needs and lifestyles, while also valuing inclusive workplace experiences. By fostering a sense of community, we drive innovation, strengthen connections, and nurture belonging. 
• Our commitment ensures you can work in a way that suits you best, while also engaging with colleagues to share ideas and build meaningful relationships.
• In Industrial and Financial Systems Central and Eastern Europe Sp. z o.o., based in Warsaw, the Whistleblowing Procedure is in effect, outlining the methods for reporting legal violations, rules for accepting internal reports and taking follow-up actions, as well as the principles for protecting whistleblowers.