Associate Machine Learning Architect - Deep Learning/PySpark

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.

(ref:hirist.tech,