Job Title : RQ09177 - Machine Learning Engineer - Senior Client: Ministry of Public and Business Service Delivery (former MGCS) Work Location: Hybrid Estimated Start Date:
Estimated End Date:
#Business Days:
Extension
Hours per day or Week:
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Must haves
- Deep Understanding of Machine Learning Concepts: Proficiency in fundamental machine learning concepts, algorithms, and techniques.
- Expertise in Natural Language Processing (NLP): Knowledge of NLP techniques and models, especially BERT and other transformer-based models, for tasks like text classification, sentiment analysis, and language understanding.
- Experience with Deep Learning Frameworks: Proficiency in deep learning libraries such as TensorFlow or PyTorch. Experience with implementing, training, and fine-tuning BERT models using these frameworks is crucial.
- Data Preprocessing Skills: Ability to perform text preprocessing, tokenization, and understanding of word embeddings.
- Programming Skills: Strong programming skills in Python, including experience with libraries like NumPy, Pandas, and Scikit-learn.
- Model Optimization and Tuning: Skills in optimizing model performance through hyperparameter tuning and understanding of trade-offs between model complexity and performance.
- Understanding of Transfer Learning: Knowledge of how to leverage pre-trained models like BERT for specific tasks and adapt them to custom datasets.
Description Responsibilities
- Creates machine learning models and utilizes data to train models
- Focuses on analyzing data to find relations between the input and the desired output
- Understands business objectives and develops models that help achieve them, along with metrics to track their progress
- Designs and develops machine learning and deep learning systems
- Runs machine learning tests and experiments
- Implements appropriate machine learning algorithms
General Skills
- Experience managing available resources such as hardware, data, and personnel so that deadlines are met
- Experience analyzing the machine learning algorithms that could be used to solve a given problem and ranking them by their success probability
- Experience exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world
- Experience verifying data quality, and/or ensuring it via data cleaning
- Experience supervising the data acquisition process if more data is needed
- Experience finding available datasets online that could be used for training
- Experience defining validation strategies
- Experience defining the preprocessing or feature engineering to be done on a given dataset
- Background in statistics and computer programming
- A team player with a track record for meeting deadlines, managing competing priorities and client relationship management experience
Experience And Skill Set Requirements
- (15%) Deep Understanding of Machine Learning Concepts: Proficiency in fundamental machine learning concepts, algorithms, and techniques.
Expertise In Natural Language Processing (NLP)
- (20%) Experience with Deep Learning Frameworks: Proficiency in deep learning libraries such as TensorFlow or PyTorch. Experience with implementing, training, and fine-tuning BERT models using these frameworks is crucial.
- (30%) Data Preprocessing Skills: Ability to perform text preprocessing, tokenization, and understanding of word embeddings.
Programming Skills
- (20%) Model Optimization and Tuning: Skills in optimizing model performance through hyperparameter tuning and understanding of trade-offs between model complexity and performance.
- (15%) Understanding of Transfer Learning: Knowledge of how to leverage pre-trained models like BERT for specific tasks and adapt them to custom datasets.
Note
- Hybrid: 3 Days onsite / 2 days remote
Eligibility and Application Steps If you are enthusiastic about this exciting opportunity, we kindly request you to provide the following documents: hrsmss@smsoftconsulting.com Without mandatory documents, we cannot submit a candidate.
- Updated Resume in word format (Mandatory)
- Skills Matrix and References (Mandatory)
- Expected hourly rate (Mandatory)
- Visa Status (Mandatory)
- LinkedIn ID (Mandatory)
Please only apply if you meet the qualifications mentioned above. Feel free to share with your network or tag someone who fits for this role
