
Overview
GravityONE is at the forefront of the intelligence economy, empowering organizations and leaders to thrive in a world defined by rapid technological convergence.
Our flagship platform, SDZ integrates cutting-edge AI, data, and design to redefine decision-making, strategy execution, and adaptation for business leaders. By equipping our clients with the tools and insights they need to succeed, we foster agility, resilience, and competitive advantage in a fast-changing world. GravityONE is driven by a bold vision to be the catalyst that transforms how businesses operate in the intelligence economy
Role:
We are looking for a passionate Data Scientist with 4+ years of experience to join our innovative team. As a Data Scientist, you will collaborate with the team to build, train, and optimize AI solutions and AI agent-based workflows. You will gain hands-on experience in building AI-powered solutions, model deployment, and much more in a collaborative environment.
Key Responsibilities:
- Assist in the development and implementation of machine learning models and algorithms for real-world applications.
- Collaborate with the data science team to preprocess and analyze datasets.
- Experiment with and fine-tune different ML techniques, conduct research on emerging trends and technologies in AI and ML.
- Help in testing, debugging, and improving model accuracy and performance.
- Assist with deploying ML models into production environments.
Technical Skills:
- Proficiency in Python and libraries such as NumPy, Pandas, and Scikit-learn.
- Strong understanding of machine learning concepts, algorithms, and frameworks.
- Experience with data preprocessing, feature engineering, and model evaluation.
- Familiarity with cloud-based ML services (AWS, GCP, Azure) is a plus.
- Experience with natural language processing (NLP) or computer vision is a plus.
- Knowledge of MLOps tools and techniques is a plus.
Qualifications:
- Bachelor’s/Master's degree in computer science, Data Science, Machine Learning, Mathematics, or related fields
- Experience: 4+ years in data science, with hands-on experience in machine learning, statistical modeling, and AI-driven analytics.
- Prior experience in AI/ML internships, research projects, or personal projects.
Preferred Qualifications:
- Experience with NLP or computer vision projects.
- Knowledge of cloud-based machine learning services (AWS, GCP, Azure).
- Familiarity with MLOps tools for model deployment and monitoring.
- Strong analytical and problem-solving skills.â¯
Why join GravityONE?â¯
GravityONE is a pioneering company, revolutionizing how businesses navigate complexity with agility and precision. Joining our team means:â¯
- Contributing to groundbreaking AI-powered solutions that shape the future of leadership and decision-making.â¯
- Working with some of the biggest names in the world across government and private enterprises globally, including direct face-time with leading change-makers and leaders.â¯
- Being a part of an organization that has a significant head-start in the Enterprise AI-SaaS space, one of the most emerging sectors in recent times, and poised for disruptive growth with the pace at which enterprises and leaders want to embrace AI.â¯
- Playing a key role in a company with a proven track record of innovation and over 300 successful projects.â¯
- Immense wealth generation opportunity given the early stages we are in with a PMF already in place.â¯
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If you are driven by innovation, passionate about AI and technology, and eager to lead the development of a transformative platform, GravityONE offers a career-defining opportunity to make a global impact.