Job Description
We seek an experienced Senior Machine Learning Architect (6+ years) with expertise in cloud (AWS, Azure and GCP) to join our core tech team. The ideal candidate will have a deep understanding of machine learning algorithms and be responsible for designing, building, and deploying ML models in production. You will work closely with cross-functional teams, including data scientists, software engineers, and product managers, to understand requirements and deliver high-quality solutions.
Key Responsibilities:
With clients and stakeholders
- Collaborate with stakeholders to understand requirements for data structure, availability, scalability & access, and transform business requirements to working real life applications with machine learning.
- Develop a working understanding of the domain to effectively define problems and possible use cases.
- Understand the data in customer experience domain and perform feature engineering and develop machine learning use cases.
- Create prototypes of ML use cases and present to stakeholders.
Machine learning development
- Design and build machine learning models using appropriate ML Algorithms and Tools.
- Establish and maintain data pipelines.
- Deploy machine learning models in production and monitor their performance.
- Collaborate with infrastructure and operations teams to architect and implement performance-tuning solutions for data storage and analytics.
Organization and administration
- Assist in data governance quality assurance for oversight, monitoring and reporting results.
- Evaluate tools and techniques to support estimation of effort, costs, and bill of materials, and create common ground for the solution to be developed.
- Mentor ML engineers and provide technical guidance and support.
- Keep abreast of the latest advancements in machine learning technologies.
Key Qualifications:
Professional
- Bachelor’s or master’s degree in computer science, mathematics, statistics or a related field.
- At least 6 years of experience in machine learning, and a strong understanding of classical algorithms, including but not limited to regression, support vector machines, gradient-boosted decision trees, deep learning, etc.
Relevant experience
- Working experience with Machine Learning and Deep Learning use cases and algorithms.
- Experience with ML Frameworks, Tools, and Environment: Scikit learn, TensorFlow, PyTorch, and PySpark.
- Strong programming skills in Python and its programming environment – python IDE, Jupyter, Visual Studio Code/PyCharm, etc.
- Experience with cloud computing, including AWS, Azure and GCP ML services
- Experience building data pipelines, deploying machine learning models in production, and monitoring and maintaining their performance.
- Experience with relational and non-relational databases, including SQL fluency.
- Familiarity with data warehousing concepts – schemas, operational data stores, feature stores, DataMart.
- Understanding of software development life-cycle process, and DevOps.
- Good to have experience in developing, fine-tuning, and optimizing large language models, such as GPT-3, BERT, or similar.
Soft skills
- Excellent communication and collaboration skills.
- Attention to detail, a true passion for problem-solving, and fastidious organisational tendencies.
- Ability to work independently and in a team-oriented environment.
