goML.io - Senior Machine Learning Architect - Python/Deep Learning

2 weeks ago

Anywhere in IndiaMultiple Locations, IN Neuralgo Full time

Job Description :


We seek an experienced Senior Machine Learning Architect 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 :

  • 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 8 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.
Some of the key Benefits :

- Market Leading Compensation

- Employee Stock Options (ESOPs)

- Medical Insurance and Term Insurance

(ref:hirist.tech)

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