As a ML Ops, you will work on a broad range of cutting-edge data analytics and machine learning problems across a variety of industries
Location- Gurgaon (Hybrid)
Your Future Employer- A global analytics and digital company serving industries including insurance, banking, healthcare and others
Responsibilities-
- Builds out AI & ML capabilities in conjuction with data scientists and other key stakeholder to drive business value.
- Productionizes and operationalizes predictive models which leverage machine learning and advance data analysis techiniques
- Designs and builds data science platforms and model deployment pipelines to scale AI & ML engines in a cloud environment
- Delivers well-styled, well- tested and maintainable code in Python, R or Java
- Cultivates innovation by proactively proposing new ideas to deliver business value more effectively
- Identifies the right combination of tools and frameworks to turn a business problem into an analytics solution.
- Monitor system performance, analyze metrics, and optimize resources for performance and cost efficiency.
- Ability to streamline and automate machine learning workflows for efficiency and scalability.
- A typical work day will involve working with stakeholders in an individual contributor capacity.
Requirements-
- Bachelor’s/Master's degree in engineering, economics, mathematics, actuarial sciences, or similar technical degree.
- Strong experience in rapidly deploying AI & ML solutions to production in a DevOps environment. Expertise in building ML platforms and data pipelines at scale
- Strong coding fluency in Python, R or Java with knowledge of object oriented design principles for larger scale development
- Experience in Kuberflow, airflow or other work flows; Docker containerization and managed Kubernetes systems
- Experience with Spark
- Knowledge of MLOps, data base management and SQL, VertexAI
- Knowledge of cloud is must – GCP preferred
- Good to have Guidewire systems
- Superior analytical and problem solving skills
- Good communication skill for client interaction
What is in for you-
- A stimulating working environment with equal employment opportunities.
- Growing of skills while working with industry leaders and top brands.
- A meritocratic culture with great career progression.
Reach us- If you feel that you are the right fit for the role please share your updated CV at nancy.thakur@crescendogroup.in
Disclaimer- Crescendo Global specializes in Senior to C-level niche recruitment. We are passionate about empowering job seekers and employers with an engaging memorable job search and leadership hiring experience. Crescendo Global does not discriminate on the basis of race, religion, color, origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Profile Keywords : ML Ops, Deployment, Vertex AI , GCP