Machine Learning Architect
Job Title: Machine Learning Architect
Company Name: goML
Location: India (Remote)
Job Description:
goML, a company located in India and offering remote work, is currently looking for a highly experienced Senior Machine Learning Architect to join their core tech team. The ideal candidate for this full-time position should possess expertise in cloud platforms like AWS, Azure, and GCP. In this role, you will be responsible for designing, developing, and deploying machine learning (ML) models in production environments. You will collaborate closely with cross-functional teams, including data scientists, software engineers, and product managers, to understand project requirements and deliver high-quality ML solutions.
Key Qualifications:
Professional:
> Bachelor’s or master’s degree in computer science, mathematics, statistics, or a related field.
> Minimum of 8 years of experience in machine learning, with a strong understanding of classical algorithms.
> Relevant experience in machine learning and deep learning use cases and algorithms.
> Experience with ML frameworks and tools such as Scikit-learn, TensorFlow, PyTorch, and PySpark.
> Strong programming skills in Python and its programming environment.
> Experience with cloud computing platforms, including AWS, Azure, and GCP ML services.
> Experience in building data pipelines, deploying ML models in production, and monitoring their performance.
> Familiarity with relational and non-relational databases, including SQL fluency.
> Understanding of data warehousing concepts, schemas, operational data stores, feature stores, and DataMart.
> Knowledge of the software development life cycle process and DevOps.
> Good to have experience in developing, fine-tuning, and optimizing large language models like GPT-3, BERT, or similar.
Soft Skills:
> Excellent communication and collaboration skills.
> Attention to detail, a passion for problem-solving, and strong organizational skills.
> Ability to work both independently and in a team-oriented environment.
Work Type: Full-time (Remote)