SourceFuse Technologies - Machine Learning Lead - AWS SageMaker (7-10 yrs)

SourceFuse Technologies Hiring ML Lead with 7+ years experience.

Preferred Location : Mohali/Noida/Bengaluru.

Overview :

We are looking for an experienced and highly skilled ML Lead Head who will be responsible for designing and implementing AI and Gen AI-based solutions to address customer business problems.

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.

Exp : 7-10 years