Machine Learning Engineer

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

Overview 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. For more information, visit www.exlservice.com.

Please find the Job description:

EXL Analytics provides data-driven, action-oriented solutions to business problems through statistical data mining, cutting edge analytics and data science 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.

Responsibilities

• Create end to end ML workflow, training pipelines, engineer new features, monitor training process, unit testing
• Coding and architecting of end-to-end applications on modern data processing technology stack: Hadoop, Hive, AWS Cloud, Spark ecosystem technologies
• Work on analytics application infrastructure analysis & requirements (e.g., configuration, access, tools, services, computing capacity, etc.)
• Test components of the pipeline and deploy them into a target environment
• Enable sharing models and collaboration to improve model management with a model registry
• Define model serving options, create testing pipeline in production
• Enable model monitoring for detection of anomalies, early alerts, and triggering ML pipelines for retraining
• Unify all the processes and automate entire release process with CI/CD orchestration

Qualifications

• Master's degree in statistics, mathematics, computer science/engineering, operations research or related analytics areas; candidates with BA/BS degrees in the same fields from the top tier academic institutions are also welcome to apply
• Min 4 years of Big Data, and Spark experience building and running complex pipelines/applications at scale in production
• Min 2 year hands-on experience implementing or prototyping machine learning systems, preferably in Python or other similar object-oriented programming languages
• Experience with AWS: S3, Airflow, EC2, Sagemaker, Lambda, ECR, Spark, Kafka, Kinesis, DynamoDB
• Industry best practices in coding is a must (Using Git)
• Strong background in machine learning, optimization and scaling ML algorithms
• Care about agile software processes, data-driven development, reliability, and disciplined experimentation.
• Firm grasp of CS fundamentals, Data structures, and algorithms
• Experience and passion for fostering collaborative teams.
• Demonstrated leadership ability and willingness to take initiative
• Strong record of achievement, solid analytical ability, and an entrepreneurial hands-on approach to work
• Outstanding written and verbal communication skills

What We Offer

• EXL Analytics offers an exciting, fast-paced and innovative environment, which brings together a group of sharp and entrepreneurial professionals who are eager to influence business decisions.
• The ability to learn aspects of client businesses, effective teamwork and time-management skills and a deeper understanding of statistics and machine learning
• We invest heavily in training you in all aspects of analytics as well as in leading analytical tools and techniques.
• A talented and experienced pool of mentors and advisors