Machine Learning Engineer | Analytics

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

EXL (NASDAQ: EXLS) is a leading operations management and analytics company that designs and enables agile, customer-centric operating models to help clients improve their revenue growth and profitability. Our delivery model provides market-leading business outcomes using EXL’s proprietary Business EXLerator Framework™, cutting-edge analytics, digital transformation and domain expertise. At EXL, we look deeper to help companies improve global operations, enhance data-driven insights, increase customer satisfaction, and manage risk and compliance. EXL serves the insurance, healthcare, banking and financial services, utilities, travel, transportation and logistics industries. Headquartered in New York, New York, EXL has more than 32,000 professionals in locations throughout the United States, Europe, Asia (primarily India and Philippines), South America, Australia and South Africa.

EXL Analytics provides data-driven, action-oriented solutions to business problems through statistical data mining, cutting edge analytics techniques and a consultative approach. Leveraging proprietary methodology and best-of-breed technology, EXL Analytics takes an industry-specific approach to transform our clients’ decision making and embed analytics more deeply into their business processes. Our global footprint of nearly 2,000 data scientists and analysts assist client organizations with complex risk minimization methods, advanced marketing, pricing and CRM strategies, internal cost analysis, and cost and resource optimization within the organization. EXL Analytics serves the insurance, healthcare, banking, capital markets, utilities, retail and e-commerce, travel, transportation and logistics industries.

Please visit www.exlservice.com for more information about EXL Analytics.

Role Overview:

EXL provides consulting and analytics support to fortune 500 companies across multiple industry domains. For this role, you will be supporting the data science team of a leading US Media firm. While working on Google Cloud Platform (GCP), you are expected to develop ML pipeline solutions using TFX & Kubeflow. Some of your responsibilities include –

• Design & build data pipelines and production level ML infrastructure, using tools such as TFX, Kubernetes, Kubeflow Pipelines, TensorFlow
• Work with data engineering teams to iterate upon the pipelines that feed the data science models
• Deploy ML models under the constraints of scalability, correctness and maintainability.
• Work with large big data sources, focusing on efficient data creation and feature engineering
• Drive work on creating a state of the art codebase and machine learning lifecycle infrastructure
• Contribute to the team through mentorship, technical methods, improvements in how we work

Qualifications

• Masters or Bachelor's degree in Computer Science (or) math heavy degrees from top-tier universities with strong record of achievement
• Deep knowledge of statistical methods and machine learning with special emphasis on deep learning algorithms.
• 3+ Years of experience in algorithms, machine learning, data science (or) statistics
• Experience solving problems using Machine Learning Frameworks (e.g. PyTorch, TensorFlow)
• Experience with Big Query; Comfortable with writing complex SQL queries for data retrieval & transformation
• Proficient in Python / Pyspark.
• Prior experience in management consulting and/or analytics based consulting is a plus