Lead Machine Learning Engineer (MLOps)
Lead Machine Learning Engineer (MLOps)
Posted on :
30-05-2025
Employer Active
1 Vacancy
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Share
Send me jobs like this
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Job Description
This role is all about hands-on technical prowess. Youll be working with autonomy accountability and technical brilliance. Your mission includes:
- Identify High-Value AI/ML Opportunities: Spot high-value AI/ML opportunities to enhance our product offerings.
- Guide AI/ML Technology Trends: Serve as our AI/ML technology expert guiding the team towards the latest AI infrastructure and delivery trends. Provide estimates and shape our AI delivery platform.
- Develop and Integrate AI Projects: Craft and integrate AI projects from the ground up. Take proofs of concept through to implementation and deployment ensuring scalability and top-tier performance.
- Collaborate with Cross-Functional Teams: Work closely with Data Engineers Data Scientists 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 technology 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.
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.
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
Key Skills
Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.
