Sr. Data Scientist

Overview:

We are seeking a highly motivated and experienced data scientist to help us in leading the team of Al/ML Engineers involved in providing Al/ML based solution to the organization need. The ideal candidate will be passionate about artificial intelligence and stay up to date with the latest developments in the field.

Key Responsibilities:
 Understanding business objectives and developing models and the system that help to achieve them, along with metrics to track their progress
 Managing available resources such as hardware, data, and personnel so that deadlines are met
 Analysing the Deep Learning, ML algorithms that could be used to solve a given problem and ranking them by their success probability
 Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world
 Demonstrable history of devising and overseeing data-centred projects
 Verifying data quality, and/or ensuring it via data cleaning
 Supervising the data acquisition process if more data is needed
 Finding available datasets online that could be used for training
 Defining validation strategies, feature engineering & data augmentation pipelines to be done on a given dataset
 Collaborate with cross-functional teams, including SAP & Application team, customers to define requirements and implement AI solutions.
 Establish and enforce data governance standards & implement best practices for data privacy and protection in AI applications

Qualifications and Education Requirements:
 Bachelors/masters degree in computer science, data science, mathematics or a related field.
 At least 6-10 years experience.

Preferred Skills:
 Proficiency in statistical techniques such as hypothesis testing, regression analysis, clustering, classification, and time series analysis to extract insights and make predictions from data.
 Strong understanding of machine learning algorithms and techniques (e.g., supervised learning, unsupervised learning, deep learning) and experience in applying them to solve real-world problems.
 Proficiency with a deep learning framework such as TensorFlow, PyTorch and Keras
 Advance Proficiency with Python and basic libraries for machine learning such as scikit-leam, matplotlib, pandas, etc.
 Proficiency with OpenCV, Django
 Worked on LLM models,
 Worked on Big data platforms and technologies such as Apache Hadoop, Spark, Kafka, or Hive for processing and analyzing large volumes of data efficiently and at scale.
 Self-starter, Entrepreneurial, result oriented mindset.
 Excellent communication, negotiation, and interpersonal skills.

About the company: CoreOps.AI is a new age company founded by highly experienced leaders from the technology industry with a vision to be the most compelling technology company that modernizes enterprise core systems and operations.

About the company: https://coreops.ai/,