Machine Learning Solutions Architect
6 days ago
Greetings from Tata Consultancy Services
We offer a competitive salary package with an estimated annual compensation of $150,000 - $200,000 based on experience.
Job DescriptionThe successful candidate will lead the design, development, and deployment of machine learning models and AI systems to address healthcare challenges. This includes collaborating with cross-functional teams to identify business needs and translate them into technical solutions.
Responsibilities:- Lead the design, development, and deployment of machine learning models and AI systems to address healthcare challenges.
- Collaborate with cross-functional teams, including clinicians, researchers, and IT, to identify business needs and translate them into technical solutions.
- Develop and implement advanced algorithms and statistical models to solve healthcare-specific problems, such as predictive analytics, patient risk stratification, and medical image analysis.
To be considered for this role, you must have at least 7 years of experience in data science, machine learning, or AI engineering roles like GenAI, Statistical Analysis, Data Mining, and Data Visualization. Additionally, you should have 3+ years of experience with software engineering using Java, .NET, Python, or any backend and frontend languages, as well as experience in deploying and operationalizing ML Ops.
You should also have knowledge of Azure Databricks, Azure Data Factory, SQL Server/NOSQL Databases, and Azure ML Studio Model evaluation and explainability. Experience in leading and mentoring technical teams is also required, along with a proven track record of successfully delivering AI/ML projects from conception to deployment.
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