Senior Data Engineer
India
The ECDO – Enterprise Chief Data Office – is looking for an experienced data engineer, with knowledge and experience in the area of analytics, data science, machine learning & big data, to support the evolution of our MLOps platforms.
- Design, develop and implement AIML Data platform using Cloud architecture with structured and unstructured data sources.
- Analyses technical requirements provided by solution architect and translates them into implementable software designs and configurations. Evaluates possibilities with different technologies and platforms.
- Follows agile and/or PM practices. Reports the progress of Sprints.
- Provides technical guidance for projects or solution designs.
- Participates in prototyping, pilots and PoC’s.
- Provide production support right after the move into production.
- Proactively follows the digital market technologies and trends and innovation.
- Inspect and verifies the quality of the Releases before delivery.
- Analyze ideas and demands for technology and architectural fit and provides technical estimates that can be used by program owner for cost/benefit analysis. Codes, develops, build and propose detailed technical solutions utilizing existing or new technologies.
- Bachelor’s degree in computer science, IT, related fields with min 7yrs of experience of relevant experience
- Experience in MLops and excellent understanding of machine learning framework.
- Linux Admin and scripting
- Good knowledge of data warehousing, Data architecture, coding (Python).
- Hands-on with data science, statistical modelling
- Hands-on Experience on K8s
- Understanding of Golang
- Working experience with Opensource Machine learning tools.
- Experience in working in Agile environment
- Strong knowledge and hands-on experience with CI/CD
- Experience in cloud technologies/cloud computing (GCP, Azure, or AWS)/ on premise
- Relevant Knowledge in continuous monitoring (include alerting tools) of the models or risk assessment (Model drift, Concept drift, data drift)
- Basic knowledge of telecom domain.
Come create the technology that helps the world act together
Nokia is committed to innovation and technology leadership across mobile, fixed and cloud networks. Your career here will have a positive impact on people’s lives and will help us build the capabilities needed for a more productive, sustainable, and inclusive world.
We challenge ourselves to create an inclusive way of working where we are open to new ideas, empowered to take risks and fearless to bring our authentic selves to work
What we offer
Nokia offers continuous learning opportunities, well-being programs to support you mentally and physically, opportunities to join and get supported by employee resource groups, mentoring programs and highly diverse teams with an inclusive culture where people thrive and are empowered.
Nokia is committed to inclusion and is an equal opportunity employer
Nokia has received the following recognitions for its commitment to inclusion & equality:
- One of the World’s Most Ethical Companies by Ethisphere
- Gender-Equality Index by Bloomberg
- Workplace Pride Global Benchmark
At Nokia, we act inclusively and respect the uniqueness of people. Nokia’s employment decisions are made regardless of race, color, national or ethnic origin, religion, gender, sexual orientation, gender identity or expression, age, marital status, disability, protected veteran status or other characteristics protected by law.
We are committed to a culture of inclusion built upon our core value of respect.
Join us and be part of a company where you will feel included and empowered to succeed.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Architecture AWS Azure Big Data CI/CD Computer Science Data Warehousing GCP Golang Kubernetes Linux Machine Learning MLOps Prototyping Python Statistics Unstructured data
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Research Scientist jobs
- Open Data Engineer II jobs
- Open BI Analyst jobs
- Open Data Science Manager jobs
- Open Data Scientist II jobs
- Open Principal Data Scientist jobs
- Open Business Data Analyst jobs
- Open Senior Business Intelligence Analyst jobs
- Open Business Intelligence Engineer jobs
- Open Sr Data Engineer jobs
- Open Data Science Intern jobs
- Open Lead Data Analyst jobs
- Open Sr. Data Scientist jobs
- Open Junior Data Scientist jobs
- Open Data Engineer III jobs
- Open MLOps Engineer jobs
- Open Manager, Data Engineering jobs
- Open Azure Data Engineer jobs
- Open Software Engineer, Machine Learning jobs
- Open Marketing Data Analyst jobs
- Open Data Analytics Engineer jobs
- Open Data Analyst II jobs
- Open Product Data Analyst jobs
- Open ETL Developer jobs
- Open Data Quality Analyst jobs
- Open Data quality-related jobs
- Open Data management-related jobs
- Open GCP-related jobs
- Open Privacy-related jobs
- Open Data pipelines-related jobs
- Open ML models-related jobs
- Open PhD-related jobs
- Open Business Intelligence-related jobs
- Open APIs-related jobs
- Open Data visualization-related jobs
- Open PyTorch-related jobs
- Open Finance-related jobs
- Open LLMs-related jobs
- Open TensorFlow-related jobs
- Open Consulting-related jobs
- Open Deep Learning-related jobs
- Open Generative AI-related jobs
- Open Data governance-related jobs
- Open NLP-related jobs
- Open CI/CD-related jobs
- Open DevOps-related jobs
- Open Kubernetes-related jobs
- Open Snowflake-related jobs
- Open Hadoop-related jobs
- Open Git-related jobs