64308 Machine Learning Engineer

half the sky; Kuala Lumpur; On-site; MYR 120,000 - 160,000; Full time

Benefits offered by this job

Employee share purchasing

Flexible work arrangements

Commitment to diversity and inclusion

Competitive pay

Job summary

A leading technology consulting firm in Kuala Lumpur is seeking an experienced Machine Learning Engineer to develop analytics solutions driven by machine learning and statistical algorithms. Candidates should have strong expertise in Python and Java, experience with big data technologies, and a solid foundation in applied mathematics. This role involves consulting with managers on ML objectives, designing AI systems, and enhancing predictive automation software. Competitive pay and growth opportunities are provided within an inclusive work culture.

Qualifications

• 6-8 years of overall experience, with at least 5 years as a machine learning engineer.
• Strong experience in data science, machine learning, and statistical analytics.
• Experience deploying ML solutions in Azure or other cloud platforms.

Responsibilities

• Consulting with managers to refine machine learning objectives.
• Designing self-running AI software for predictive models.
• Transforming data science prototypes using appropriate ML algorithms.
• Documenting machine learning processes and keeping up with developments.

Skills

Python

Java

Deep learning techniques (TensorFlow, Theano, MXNet)

Big data stack (Spark, Hadoop, Storm, Hive & Pig)

C/C++ or C# or Scala programming skills

Applied mathematics and statistics

Tools

Azure

Elastic Search

Solr

Azure Cognitive Search

Job description

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

About the job 64308 Machine Learning Engineer

Job Description

As ML Engineer, you will be part of team to develop analytics solutions based on machine learning & statistical predictive algorithms for clients of Data & AI. We are looking for experienced machine learning engineers with extensive hands-on experience in machine and deep learning, statistical modeling, and software development, proven scientific research skills, and technical leadership.

To ensure success as a machine learning engineer, you should demonstrate solid data science knowledge and experience in a related ML role. Avanade is looking someone whose expertise translates into the enhanced performance of predictive automation software.

Experience: 6-8 years overall experience and at least 5 years working as ML Engineer

Skills:

• Python, Java.
• Hands-on experience and understanding of deep learning techniques (TensorFlow, Theano, MXNet, Microsoft DMTK).
• Experience with big data stack (Spark, Hadoop, Storm, Hive & Pig) and NoSQL stores.
• Experience with distributed machine learning (RHadoop, Spark MLlib).
• Strong algorithmic and programming skills in Java or C/C++ or C# or Scala.
• A solid grounding in applied mathematics, especially optimization and graph theory, and statistics.

Key Responsibilities:

• Consulting with managers to determine and refine machine learning objectives.
• Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models.
• Transforming data science prototypes and applying appropriate ML algorithms and tools.
• Ensuring that algorithms generate accurate user recommendations.
• Turning unstructured data into useful information by auto-tagging images and text-to-speech conversions.
• Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.
• Developing ML algorithms to analyze huge volumes of historical data to make predictions.
• Running tests, performing statistical analysis, and interpreting test results.
• Documenting machine learning processes.
• Keeping abreast of developments in machine learning.

Job Requirements:

• Significant experience in the design and build of data science solutions for customers.
• Strong experience with Microsoft Technologies
• Hands-on experience in data science, machine learning and statistical analytics.
• Experience in data analytics, BI, data warehousing, a data platform development or other relevant hands-on technical experience.
• Understanding of structured and unstructured data analysis, streaming data, IoT, artificial intelligence, natural language processing and related topical analytics fields.
• Understanding of data science methodologies and the processes of data scientists follow in problem-solving.
• Significant experience in implementing/deploying ML solutions in Azure or other cloud platforms
• Experience on NER (Named entity recognition), NLP tasks like Cosine similarity, word embedding, document similarity, context based search
• Experience with document search system like elastic search, solr, Azure cognitive search
• Understanding of optimizers, hyper parameter tuning, ML ops libraries and platforms, detecting data drift

Country:

Malaysia

Cities:

Area of expertise:

Analytics

What we offer you

Come for the distinctive experiences you have helping forward-thinking corporations, non-profits, and governments push the boundaries of digital innovation. Stay for the limitless learning opportunities that encourage you to master Microsoft and pursue big ideas. Enjoy ambitious growth for yourself as part of Avanades people-first culture with benefits like employee share purchasing, flexible work arrangements, a commitment to diversity and inclusion, and competitive pay.

About Avanade

Avanade is the leading provider of innovative digital, cloud and advisory services, industry solutions and design-led experiences across the Microsoft ecosystem. Every day, our 59,000 professionals in 26 countries make a genuine human impact for our clients, their employees and their customers.

We have been recognized as Microsofts Global SI Partner of the Year more than any other company. With the most Microsoft certifications (60,000+) and 18 (out of 18) Gold-level Microsoft competencies, we are uniquely positioned to help businesses grow and solve their toughest challenges.

We are a people first company, committed to providing an inclusive workplace where employees feel comfortable being their authentic selves. As a responsible business, we are building a sustainable world and helping people from underrepresented communities fulfil their potential.

Majority owned by Accenture, Avanade was founded in 2000 by Accenture LLP and Microsoft Corporation. Learn more at www.avanade.com .