What Jobs are available for Nlp Engineer in Malaysia?

Our talented Data & AI Practice is made up of globally recognized experts - and there's room for more analytical and ambitious data professionals. If you're passionate about helping clients make better data-driven decisions to tackle their most complex business issues, let's talk. Take your skills to a new level and launch a career where you can truly do what matters.
Come join us:
The Databricks M/L Technical Lead is a senior, hands-on role responsible for the design, development, and delivery of highly scalable, secure, and performant data solutions on the Databricks Lakehouse Platform. It is expected to provide technical leadership to a team of engineers, defining coding standards, implementing architectural patterns, and ensuring the delivery of high-quality data products.
What you'll do:
* Lead the Design: Define and implement robust data architectures utilizing the Databricks ecosystem, including Delta Lake, Unity Catalog, Machine Learning Models and Databricks Workflows.
* Hands-on Development: Serve as the most senior developer, writing high-quality, production-grade code in PySpark/Scala and SQL for complex batch and streaming ETL/ELT pipelines.
* Performance Optimization: Lead performance tuning and optimization efforts for large-scale Spark jobs, ensuring efficient cluster utilization and cost management
* Standards & Best Practices: Define and enforce technical standards, code quality, testing frameworks (unit, integration), and DataOps/CI/CD pipelines for the engineering team.
Required Skills & Experience:
· 8+ years of experience in machine learning, data science, or MLOps, with at least 4+ years focused specifically on the Databricks Lakehouse Platform.
· Expert proficiency in Python and PySpark/Scala for large-scale data processing and machine learning.
· Deep understanding and practical experience with Delta Lake architecture and optimization techniques.
· Proven expertise implementing MLOps principles using MLflow (Tracking, Registry, Projects, and Deployment).
Preferred Skills & Certifications:
* Experience with Databricks features like Databricks Workflows, and Unity Catalog.
* Experience with streaming technologies (e.g., Kafka, Spark Streaming).
* Familiarity with CI/CD tools and Infrastructure-as-Code (e.g., Terraform, Databricks Asset Bundles).
* Databricks Certified Machine Learning Professional certified.
About you
Characteristics that can spell success for this role
· Consultative, collaborative, curious
· Resilient, adaptable, flexible
· Humble leader, strong negotiator, relationship builder
· Passionate about tech and engaging with and advising clients
Enjoy your career
Some of the best things about working at Avanade
· People-first culture that supports innovation and encourages people to move forward
· Turn your ideas to human impact by cultivating a team that will help clients unlock what's next
· Opportunities to innovate in the Microsoft platform while charting your own career path
· On-the-job growth through hackathons, innovation contests, and other expressions of our passion for innovating with purpose
· Real-time access to technical and skilled resources globally
Find out more about some of our benefits (1) here.
A great place to work
As you bring your skills and abilities to Avanade, you'll get distinctive experiences, limitless learning, and ambitious growth in return. As we continue to build our diverse and inclusive culture, we become even more innovative and creative, helping us better serve our clients and our communities. You'll join a community of smart, supportive collaborators to lift, mentor, and guide you, but to also lean on your expertise. You get a company purpose-built for business-critical, leading-edge technology solutions, committed to improving the way humans work, interact, and live. It's all here, so take a closer look!
We work hard to provide an inclusive, diverse culture with a deep sense of belonging for all our employees. Visit our (2) Inclusion & Diversity page.
Create a future for our people that focuses on
- Expanding your thinking - Experimenting courageously - Learning and pivoting
Inspire greatness in our people by
- Empowering every voice - Encouraging boldness - Celebrating progress
Accelerate the impact of our people by
- Amazing the client - Prioritizing what matters - Acting as one
Learn more
To learn more about the types of projects our Data & AI team works on check out these case studies:
· (3) thyssenkrupp Materials Services uses data to help strike a delicate operational balance
· (4) What matters to SSE Renewables is innovating for a sustainable future
· (5) Hachette UK enables employees with machine learning-driven contract searches
· (6) Marston Holdings identifies significant cloud savings
Interested in knowing what's going on inside Avanade? Check out our blogs:
· (7) Avanade Insights - exchange ideas that drive tomorrow's innovation
· (8) Inside Avanade - explore what life is like working at Avanade
References
Visible links
1. work hard to provide an inclusive, diverse culture with a deep sense of belonging for all our employees. Avanade believes that all persons are entitled to equal employment opportunities, and we do not discriminate against our employees, applicants, or job seekers because of their race, color, gender, religion, national origin, disability, veteran status, age, marital status, sexual orientation, genetic information, gender identity, or any other protect group status as defined by law.

About Us



At BizAid Technologies, we are redefining Al solutions using next-generation technologies. Our

focus is on developing powerful machine learning models that transform industries. As a

Machine Learning Engineer Intern, you'll play a pivotal role in developing, fine-tuning, and

deploying cutting-edge Al models with Deepseek- one of the most advanced language

models in the market.



If you're excited about the potential of large language models (LLMs) like Deepseek and eager to

apply your skills in a fast-paced environment, we want to hear from you!



Your Role as a Machine Learning Engineer Intern



In this exciting role, you will actively contribute to our Deepseek-based projects. From model

fine-tuning to real-world deployment, you'll gain practical experience in leveraging LLMs to solve

complex problems.



Key Responsibilities



Design, implement, and fine-tune Deepseek models for NLP, text generation, and

conversational Al.

Develop and test innovative Al applications using Deepseek's powerful capabilities.

Optimize model performance through data preprocessing, prompt engineering, and

hyperparameter tuning.

Assist in cleaning, transforming, and managing large-scale datasets for training.

Collaborate with data scientists and Al researchers to develop robust Al solutions.

Deploy trained models into production environments using frameworks like Hugging Face,

FastAPI, or Docker.

Contribute ideas for enhancing model accuracy, scalability, and efficiency.

Who We're Looking For



Pursuing a Degree in Computer Science, Data Science, Al, or related field.

Strong Programming Skills in Python (e.g., PyTorch, TensorFlow, Deepseek API).

Familiarity with LLM frameworks such as Deepseek, OpenAI GPT, or Anthropic Claude.

Knowledge of NLP techniques such as tokenization, embeddings, and transformer

architectures.

Experience in data cleaning, feature engineering, and model evaluation.

Strong analytical and problem-solving skills with a proactive learning mindset.

Bonus: Experience with cloud platforms like AWS, GCP, or Azure.



What's in It for You?



Hands-on experience with Deepseek, one of the most powerful LLMs.

Gain exposure to cutting-edge NLP applications.

Collaborate with experienced data scientists and Al engineers.

Opportunity to build impactful Al tools for real-world applications.

. Mentorship from Al industry experts to accelerate your growth.

Fast-track opportunity for full-time employment based on performance.

**Our Purpose**
_Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential._
**Title and Summary**
Director, AI Incubator Business Development
Position Overview
We are seeking a dynamic AI Sales Specialist to lead consulting engagements on Artificial Intelligence (AI), with a focus on Generative AI (GenAI) solutions for both internal and external clients. This is a business development role within the Services Incubator team, responsible for driving the AI Innovation agenda across Mastercard Services.
Key Responsibilities Include:
- Partner with broader Mastercard Services sales organization to assess client needs and strategic priorities. Leverage Mastercard's Innovation capabilities to differentiate and expand our AI business, including developing new products, services, and partnerships.
- Lead key regional and local AI innovation initiatives to drive growth for the Services P&L.
- Support the wider sales team through the full sales cycle from technical storyboarding and client presentations to deal structuring and contract closure.
- Provide thought leadership to strengthen Mastercard Services' brand with key client stakeholders.
- Collaborate with Delivery teams to ensure successful implementation and realization of AI project outcomes.
- Achieve sales targets with integrity and a strong focus on client value.
- Build trusted relationships with senior and executive-level client stakeholders to become a long-term strategic advisor.
All About You
- Strong background in AI and Advanced Analytics, including model development, testing, deployment, and the use of Generative AI and Machine Learning algorithms.
- Solid understanding of Data Management, Data Strategy, and the ability to architect solutions across cloud and on-premise environments.
- Strong experience in digital and consultative sales and managing senior client stakeholders.
- Ability to develop compelling sales narratives in influencing sales closure. Demonstrated ability to initiate, develop, and close a sale.
- Excellent verbal and written communication and presentation skills
- Advanced Analytics /AI degree is preferred but can be substituted for strong experience in the above topics.
- Strong problem solving skills and first principles thinking
- Ability to multi-task in a fast-paced, deadline-driven environment.
- Aptitude for translating complex technical solutions into clear, business-relevant language, serving as the bridge between the tech and the sales team.
- Deep curiosity and commitment to staying current with emerging AI trends and their impact on the payments industry and financial institutions.
- Demonstrated thought leadership through publications, speaking engagements, or the delivery of innovative AI solutions in recognized industry settings.
**Corporate Security Responsibility**
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
+ Abide by Mastercard's security policies and practices;
+ Ensure the confidentiality and integrity of the information being accessed;
+ Report any suspected information security violation or breach, and
+ Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.