Sr. Data Scientist

APPLICATIONS ACCEPTED BY:

JOB DESCRIPTION

Role and Responsibilities:

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. You are required to lead & manage all the processes from data extraction, cleaning, and pre-processing, to training models and deploying them to production. 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
• Analyzing 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
• Training models and tuning their hyperparameters
• Analysing the errors of the model and designing strategies to overcome them
• Deploying models to production
• Ability to relay insights in layman’s terms, such that these can be used to inform business decisions.
• 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:

• Bachelor’s/Master’s degree in computer science, data science, mathematics or a related field.
• At least 6-8 years’ experience in building Al/ML applications

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,
• Proficiency in data visualization tools and techniques to create clear and insightful visualizations (e.g., matplotlib, seaborn, plotly, ggplot2, Tableau) for communicating findings and insights to stakeholders.
• Ability to engineer and select relevant features from raw data to improve model performance and accuracy, including domain-specific feature creation and dimensionality reduction techniques.
• 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.
• Familiarity in working and deploying applications on Ubuntu/Linux system
• Ability to select hardware to run an Al model with the required latency
• Analytical and problem-solving abilities.
• Has lead the team of Al/ML engineers
• Has worked on providing end to end solution
• Great communication and collaboration skills
• Self-starter, Entrepreneurial, result oriented mindset.
• Excellent communication, negotiation, and interpersonal skills.

We offer:

A competitive compensation package, including base salary, performance-based commissions, and benefits.

Opportunities for professional growth, training, and career advancement in a dynamic and rapidly evolving industry. Collaborative and inclusive work culture that values teamwork, innovation, and a strong commitment to customer success

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.