ML Lead

3 weeks ago

Noida, India SourceFuse Full time

SourceFuse Technologies Hiring ML Lead with 7+ years experience


Overview

We are looking for an experienced and highly skilled Machine Learning Lead to join our

team. The ideal candidate will have a robust background in machine learning, with a

particular focus on AWS SageMaker, AWS Bedrock, and generative AI solutions. This role

involves leading a team of data scientists and machine learning engineers to develop and

implement advanced ML models, ensuring the delivery of high-quality, data-driven insights

and solutions.


Key Responsibilities:

● Lead the design, development, and deployment of machine learning models and algorithms to solve complex business problems.

● Oversee the end-to-end machine learning lifecycle, including data preprocessing, model training, evaluation, and deployment.

● Utilize AWS SageMaker to build, train, and deploy machine learning models.

● Leverage AWS Bedrock to develop robust and scalable generative AI solutions for various applications.

● Develop and implement generative AI solutions to enhance business processes and customer experiences.

● Implement MLOps practices, including model monitoring, and automation of the training and deployment pipeline.

● Collaborate with cross-functional teams to integrate ML models into production environments and applications.

● Provide technical leadership and mentorship to a team of data scientists and machine learning engineers.

● Communicate complex machine learning concepts and insights to non-technical stakeholders.

● Ensure the integrity and quality of data throughout the machine learning pipeline.

● Stay current with the latest advancements in machine learning, AI, and AWS technologies to continuously improve capabilities.

● SQL analytics integrated with generative AI solutions to deliver refined, data-driven insights for informed decision-making and data

integrity.


Qualifications:

● Minimum of 7 years of hands-on experience in machine learning and data science roles, with significant experience in leading and

managing ML projects.

● Proven track record of successfully delivering end-to-end machine learning solutions from concept to production deployment.

● Extensive expertise in AWS services such as SageMaker, AWS Bedrock, and other AI/ML tools.

● Strong proficiency in Python and familiarity with machine learning libraries such as TensorFlow, PyTorch, and Scikit-Learn.

● Experience with MLOps practices, including model monitoring, deployment automation, and CI/CD pipelines.

● Demonstrated ability to design and implement scalable and efficient machine learning architectures in cloud environments.

● Deep understanding of data engineering, feature engineering, and data preprocessing techniques.

● Experience with AutoML, hyperparameter tuning, and model optimization techniques.

● Leadership skills with the ability to lead and mentor a team of data scientists and machine learning engineers effectively.


Skills : Aws Sagemaker, Aws Bedrock, PyTorch, Tensorflow, scikit-learn, statsmodels, pandas, numpy, prophet, darts, optuna, hyperopt,

MLOps, AutoML, SQL


Preferred Location: Noida/Mohali/Bengaluru

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