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

3 days ago

Remote, India 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 :

- 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 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 organizational 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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