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Premium Employer

Maersk

Compare

4.2

based on 2.9k Reviews

135 Maersk Jobs

Senior Machine Learning Engineer

Maersk Global Service Centres India Pvt. Ltd.

4.2

based on 2.9k Reviews

5-10 years

Bangalore / Bengaluru

1 vacancy

Senior Machine Learning Engineer

Maersk

posted 2mon ago

Job Role Insights

Flexible timing

Key skills for the job

Data Analysis Python Logistics Machine Learning Analytical Chemistry Data Visualization

+ 4 more

Job Description

Were looking for a driven Senior Machine Learning Engineer to develop groundbreaking solutions in classical ML, NLP, and Deep Learning, revolutionizing global logistics. As a Senior Engineer, you will work closely with lead Machine Learning Engineers to spearhead the development and deployment of cutting-edge machine learning models. This role offers an opportunity for professional growth, allowing you to expand your skill set while making meaningful contributions to impactful projects.

Must have:

Hands-on experience with machine learning algorithms and libraries (e.g., TensorFlow, Keras or PyTorch) for tasks like classification, regression, clustering, and natural language processing (NLP)
A solid understanding of machine learning concepts and techniques is essential. This includes knowledge of deep learning architectures, optimization algorithms, backpropagation, and hyperparameter tuning.
Experience querying databases and using statistical computer languages like Python, R are necessary.
Ability to preprocess and clean data from various sources (structured and unstructured) using tools like Pandas, NumPy, or dplyr.
5+ years experience in ML, NLP, and Deep Learning.

Good to Have:

Knowledge of the Observability domain, understanding the context, and customizing the language model accordingly.
Exposure to advanced imputation, feature engineering, re-training and hyper parameter tuning.
Experience visualizing/presenting data for stakeholders.

Responsibilities:

Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions.
Selecting features, building and optimizing machine learning algorithms that impact the business
Build and deploy machine learning models for predictive and prescriptive analytic.
Monitoring model performance and creating alerts for any data leakage
Defining validation framework and establish a process to ensure acceptable data quality criteria.
Strong written, verbal, and presentation skills with the ability to present complex concepts in easy-to-understand language.
Stay updated with the latest developments in data science and machine learning.

Skills: Statistical Data Analysis, Data Visualization, Data Science, Python or R (Programming Language), Data Analytics, Understanding of big data technologies (e.g., Hadoop, Spark), Familiarity with cloud platforms and services (e.g., AWS, Azure).

Employment Type: Full Time, Permanent

Read full job description

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