We are an end-to-end information technology services and solutions provider, working with leading organizations from the Financial Services, Technology, Communications & Media, Manufacturing & Retail, Energy and Utilities and various other domains. Abhidi delivers highly responsive and innovative solutions that help clients to align their IT strategy with their business goals and address the most important IT needs today.
We deliver a full portfolio of services that include IT Consulting, Application Development and Management, Independent Testing, Outsourced Product Development, Enterprise Software Solutions, Business Intelligence & Data Warehousing as well as Resource Augmentation. Also we engage in providing Training, Managed and Infrastructural Services.
Our focus is on delivering superior returns to clients through our cost-effective, efficient, high-value services that run on excellent in-house processes. We are deeply committed to the steady pursuit of our long-term goals and aspirations through service excellence and industry expertise. We strive to consistently deliver on commitments and exceed customer expectations by addressing organizations' business-specific needs using our superior technical expertise and world class infrastructure.
Key Responsibilities
1. Work closely with client either in our environment or other client solution products.
2. Work closely with sales and trategic team to build and analyse the segemantation for Digital Analytics products.
3. As a member of the product team, actively attend product planning and product review session with the entire agile team to provide feedback on the development of the product and sprint backlog.
4. Work with structured and unstructured data and use them to achieve the business objective
5. Develop quick prototype by innovating, and hacking your way with off-the-shelves packages, which include Prediction, Segmentation, Fraud Detection, Credit Scoring, Computer Vision
Deep dive into GCP to conduct advanced statistical analyses.
5. Design, and build machine learning and deep learning algorithms at scale
6. Integrate, simulate, and A/B test the impact of algorithms and features
7. Store, retrieve, and visualize results in a presentable manner that facilitates decision-making and Effectively conceptualize analyses and communicate to business/product stakeholders
8. Help designing, modelling, and curating various internal and external datasets and stitch the information together to be relevant for telco and other industries.
1. Degree in Computer Science, Electrical/Computer Engineering, Industrial & System Engineering, Mathematics/Statistics, or related technical disciplines
2. Proficient in Pythons and one or more of the following programming languages: R, Scala, Java, C++
3. Proficient in SQL and its environment tools (postgre, GreenPlum, Hive, or BigQuery)
4. Strong working knowledge of machine learning principles including classification, clustering, anomaly detection, semi-supervised learning, and reinforcement learning
5. Experience in data analysis / numerical computing / classical ML tools like Pandas, NumPy/SciPy, Scikit-Learn, or XGBoost
**6. Experience in one or more following Deep Learning library**: Pytorch, Keras, Tensorflow is a plus
7. Min 1 Year's Experience as Data Scientist, Data Engineer, or Data Analyst
**8. Have Experience in Industry**: Telco / BFSI / eCommerce / Mining is a plus