AI/ML Machine Learning Engineer 4

Job Title

AI/ML Engineer Level 4

Job Summary:

As part of Privacy and Data Protection Team the Machine Learning Engineer will be responsible for researching, building, and designing ML systems to build and automate predictive models at enterprise level. Candidate should have the ability to rapidly grasp new technologies and abstractions and apply them in a meaningful way.

Responsibilities:

- Research, design, and implement ML algorithms and tools.

- Review and select appropriate data sets in a data warehouse.

- Select appropriate data representation and visualization methods.

- Identify and understand data distributions that affects model performance.

- Verify data quality with a small/large number of data samples.

- Transform and convert ML prototypes and models, e.g. change from SVM to Random Forest.

- Test and evaluate machine learning models and using results to improve them.

- Train and retrain systems when needed. Knowledge in active learning is a plus.

- Extending machine learning libraries if needed.

- Persist ML models for production environments.

- Identify technology issues, design resolutions, and proactive communication.

- Experienced in interpreting project requirements and technical specifications.

Minimum Requirements:

- Degree in computer science, math, statistics, or a related degree.

- 5 years of relevant experience with building ML models and data pipelines.

- Experience in supervised and un-supervised ML models.

- Proficient in persisting ML models and deployment in production environment (operationalizing

ML models).

- Data science certificates in machine learning, neural networks, deep learning, or related fields.

- Strong analytical, problem-solving and teamwork skills.

- At least 2 years of experience in any data engineering python frameworks like Pandas/Pyspark.

- Software engineering skills and strong experience in data science coding and programming

languages, including Python, SQL, NoSQL

- Strong knowledge and experience working with Python-based ML libraries and packages such as NumPy, SciPy, Pandas, etc.

- Extensive experience in working with ML frameworks, e.g. scikit-learn and Keras.

- Experience working with data visualization, e.g. Matplotlib.

- Understand data structures, data modeling and software architecture.

- Experience with version control frameworks, GIT preferred.

- At least 1 year of experience in LLM, NER and NLP based models

- Experience with text extraction using OCR, data parsing and storage

Additional Skills:

- Extensive experience in working with advanced ML frameworks, e.g. TensorFlow, PyTorch, Spark ML, and Torch.

- Experience working deploying model with MLFlow.

- Experience working with Databricks/ AWS ML

- Experience is additional visualization tools, e.g. , Seaborn, Plotly, pydot, Dash, etc.