Job Description
- Job description
- Experience: 3- 6 Years
-
- Job Location : Airoli, Navi Mumbai
-
- Education : B.Tech / M.Tech in Computer Science / Mathematics / Signal Processing or related fields from one of the premier Institutes (IITs/NITs/BITS
Job Description as follows:
Having a strong background in machine learning who are extremely passionate about solving real-world applied problems in the various business domains. A real opportunity to expand skill-sets and a chance to learn and use the latest advances and approaches in machine learning and data mining on real-world datasets.
Working at a fast-paced work environment where one is expected to be self-motivated and are measured on performance.
Job Responsibilities
- Ability to understand a problem statement and implement analytical solutions & techniques independently or with minimal supervision
- Work and collaborate with other teams to deliver and create value for clients
- Fast learner: ability to learn and pick up a new language/tool/ platform quickly
- Conceptualize, design and deliver high-quality solutions and insightful analysis
- Conduct research and prototyping innovations; data and requirements gathering; solution scoping and architecture; consulting clients and client-facing teams on advanced statistical and machine learning problems.
- Ability to deliver AIML based solutions around a host of domains and problems, with some of them being: Customer -Segmentation & Targeting, Propensity Modeling, Churn Modeling, Lifetime Value Estimation, Forecasting, Recommender Systems, Modeling Response to Incentives, Marketing Mix Optimization, Price Optimization
Experience Required:
- Intermediate to expert level proficiency in at least one of R and Python
- Ability to discover effective solutions to complex problems. Strong skills in data structures and algorithms.
- Experience of working on a project end-to-end: problem scoping, data gathering, EDA, modelling, insights, and visualizations
- Problem-solving: Ability to break the problem into small problems and think of relevant techniques which can be explored & used to cater to those
- Intermediate to advanced knowledge of machine learning, probability theory, statistics, and algorithms. You will be required to discuss and use various algorithms and approaches on a daily basis.
- Experience of working in cloud-based environments such as AWS, GCP, Azure
Good to Have :
- Experience in one of the upcoming technologies like deep learning, NLP, image processing, recommender systems
- The experience of working in on one or more domains:
- Experience in working with Linux computing environment and use of command-line tools like sed/awk
- Grasp at databases including RDBMS, NoSQL, MongoDB etc.