About Us

Aeries Technology is a Nasdaq listed global professional services and consulting partner, headquartered in Mumbai, India, with centers in the USA, Mexico, Singapore, and Dubai. We provide mid-size technology companies with the right mix of deep vertical specialty, functional expertise, and the right systems & solutions to scale, optimize and transform their business operations with unique customized engagement models. Aeries is Great Place to Work certified by GPTW India, reflecting our commitment to fostering a positive and inclusive workplace culture for our employees.

Read about us at https://aeriestechnology.com

Roles and Responsibility

About ATG

Founded in 2012, ATG is a global services company providing technology, business process management, and consulting services to some of the leading global organizations. We have a proven track record of helping our clients identify and deliver significant bottom-line improvements using our expertise in finance, legal, HR, and information technology-related services. Our unique business engagement model is purpose-built to offer our client partners with best-in-class service through dedicated resources such as people, technology, infrastructure, and top management support.

For more information, log on to http://www.aeriestechnology.com

About Alegeus

Alegeus is the market leader in consumer directed healthcare solutions, offering the industry’s most comprehensive platform for the administration of healthcare benefit accounts (including FSAs, HSAs, HRAs, wellness incentive, dependent care, and commuter accounts), the industry’s most widely-used benefit debit card,



and powerful consumer engagement solutions to help consumers optimize their healthcare spending and maximize their healthcare savings.

For more information, log on to https://www.alegeus.com/

About the Role

•Collect, clean, and preprocess large datasets from various sources including databases, APIs, and external data feeds.

•Explore and analyze data to extract actionable insights and identify patterns and trends.

•Develop predictive models and algorithms to solve specific business problems or improve processes.

•Design and build scalable, reliable, and efficient data pipelines and infrastructure to support data-driven applications and services.

•Write code to implement data processing tasks, build machine learning models, and create data visualization tools.

•Collaborate with data scientists, analysts, software engineers, and business stakeholders to understand requirements and deliver solutions that meet business objectives.

•Deploy machine learning models into production environments and monitor their performance in real-time.

•Stay updated with the latest developments in data science, machine learning, and big data technologies, and share knowledge with the team.

About you

•Bachelor's degree or higher in Computer Science,



Engineering, Mathematics, Statistics, or a related field.

•Strong programming skills in languages such as Python, R, Scala, or Java.

•Experience with data engineering tools and technologies such as SQL, Spark, Hadoop, Kafka, etc.

•Solid grasp of standard data science techniques such as supervised/unsupervised machine learning, model cross-validation, time series analysis, easy NLP, effective SQL database querying, or using/writing APIs for models

•In-depth understanding of common machine learning problems (classification, regression, and clustering); standard machine learning algorithms such as HMM, SVM, CRF, logistic regression, ensemble, random forest, gradient boosting Decision Trees

•Experience in Python software development and familiarity with Machine Learning libraries and frameworks such as Pandas, NumPy, SciPy, scikit-learn, Keras, TensorFlow, and PyTorch

•Proficiency in data visualization tools such as Power BI & Tableau, statistics, and machine learning techniques using programming languages like Python, SQL, and relational data modeling

•Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.

•Self-motivated with a strong desire to learn and grow in a fast-paced, dynamic environment.

•Strong problem-solving skills and the ability to troubleshoot complex data issues

Experience: 5-8 years

Education: Bachelor's degree or higher in Computer Science, Engineering, Mathematics, Statistics, or a related field.

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