Machine Learning Engineer

About Client:The Client is a leading global IT services and consulting company, providing a wide range of services to clients in various industries, including banking, financial services, retail, manufacturing, healthcare, and more. It is one of the largest employers in the IT industry and has a vast and diverse workforce. The company places a strong emphasis on employee training and development. Client is known for its commitment to innovation and invests in research and development to stay at the forefront of technological advancements.It offers a comprehensive set of services, including:IT Services: Application development, maintenance, and testing.Consulting: Business consulting, IT strategy, and digital transformation.Business Process Outsourcing (BPO): Outsourcing of business processes to improve efficiency.Enterprise Solutions: Implementation and support of enterprise-level software solutions.Digital Services: Services related to digital technologies, such as analytics, cloud, and IoT.Salary Range: $120K-$130K/AnnumJob Description:8 - 12 years of experienceWe are looking for a Machine Learning Engineer, who has hands-on experience in machine learning system development, Cloud computing, backend development and AI/Client.Candidate must have strong NLP experience.Automate end-to-end ETL/Client pipelines with structural understanding of data products.Automate, deploy, and maintain Client pipelines into existing cloud resources.Work with team members to assist with data-related technical issues and support their data product needs.Work with team members to evaluate and improve existing Client systems and models.Required Skills:A background in computer science, engineering, mathematics, or similar quantitative field with a minimum of 2 years professional experienceStrong Python/Java programming skillsExperience in implementing data pipelines using pythonExperience with workflow scheduling/orchestration such as Kubernetes, Airflow or OozieExtract Transform Load (ETL) experience using Spark, Kafka, Hadoop, or similar technologiesExperience with query APIs using JSON, Protocol Buffers, or XMLExperience with Unix-based command line interface and Bash scripts

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