Machine Learning Architect/Specialist
India
Nokia
As a technology leader across mobile, fixed and cloud networks, our solutions enable a more productive, sustainable and inclusive world.Are you passionate about cutting-edge technology and innovative solutions in the telecom industry? If so, we have an exciting opportunity for you at Nokia as a Machine Learning Architect/Specialist in our Network and Subscriber Analytics team.
- As a Machine Learning Architect/Specialist, you will play a key role in building innovative products and use cases that provide a 360-degree view of customer experience across touchpoints for mobile and fixed-line domains. You will work on Cloud Native architecture, Big Data & Analytics, Machine Learning & AI, and other cutting-edge technologies to deliver solutions that drive business success for our clients.
- Our team at Nokia is at the forefront of the industry, ranked as the #1 vendor by Analysys Mason in the Network Analytics market. With over 20 commercial deployments of our product across the globe in APAC, NAM, LAT, Europe, and MEA, we are leading the way in large-scale live deployments with 250M+ live subscribers, 1000+ servers worldwide, processing 120 Billion Events Per Day, and over 100 use cases.
- As a member of our team, you will have access to cutting-edge technologies such as LLM, MLOps, Data Management, and Data Governance, providing you with the tools and resources needed to excel in your role and make a real difference in the industry.
We are looking for candidates who have a solid understanding and practical experience in machine learning concepts, MLOps and programming, are well-versed in state-of-the-art machine learning methods such as deep learning and have a natural interest in innovatively applying fundamental tools and methods in focused problem areas.
As part of the team, you will:
- Ensure on-time product delivery with world-class quality
- Study, design, code, test, automate, and debug in MLOps model
- Mentor and guide the team to success
- Rapidly scale on AI and Data Science technologies
Impact
Impact is short-term through individual and team contributions. Scope is primarily within own subject area in a function/unit. Actions and errors impact on program, project or function. Provides measurable input into new products, processes, standards or operational plans in support of the organisation's business strategies, with some impact on business unit/ function overall results.
Scope & Contribution
Individual Contributor: Operates autonomously in own subject area. Can analyze, develop and implement concepts and solutions as a subject matter expert. Increased awareness of and involvement outside of own subject area. Distills big picture. Makes decisions about and prioritizes own work. Managerial/Supervisory: Clear managerial responsibilities for people. Typically first level of solid line management. Interprets policies. Ensures existing plans are put into operation. Executes and/or oversees processes to meet customer needs. Responsible for analysis, design & development of policies, plans, programs.
Innovation
Carries out specialised activities/projects according to general direction. Influences others to support decisions. Works mostly independently. Analyze situations or data that requires review of relevant factors. Solutions can often be checked and proved. Demonstrates success in multiple roles and is adaptable to manage complex changing business environments.
Communication
Communicates with parties within and outside of own job function and teams, and typically has responsibilities for communicating with parties external to the organisation, which may include customers or vendors.Works to influence others to accept job function’s view/practices and agree/accept new concepts, practices, and approaches.Has cross-cultural knowledge and global mindset Requires ability to communicate with executive leadership regarding matters of significant importance to the organisation. May conduct briefings with senior leaders within the job function. May at times be required to negotiate regarding operational issues.
Knowledge & Experience
Please feel free to apply if you have 8+ years experience covering below with a graduate / postgraduate equivalent degree.
Preferred Skills…
- Experience with machine learning algorithms
- Familiarity with GenAI
- Proficiency in data science and statistics
- Strong programming skills in Python and SQL
- Knowledge of MLOps tools such as Kubeflow and GenAI/LLMOps
- Ability to work with Jupyter notebooks
- A minimum of 8 years of relevant experience
- Bachelor's or Master's Degree in a related field
It would be nice if you also had:
- Familiarity with Redhat AI
- Experience with Open AI, Llama, and Langchain
- Proficiency in Pytest and Rust
- Knowledge of Spark and SparkML
- Experience with Kubernetes, Linux, and scripting
- Previous experience building AI applications for the 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: Architecture Big Data CX Data governance Data management Deep Learning Excel Generative AI Jupyter Kubeflow Kubernetes LangChain Linux LLaMA LLMOps LLMs Machine Learning MLOps Python Rust Spark SparkML SQL Statistics
Perks/benefits: Career development Team events
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