We are looking for curious individuals having a keen interest in strengthening their software engineering and data science acumen. You will get to contribute to the building of large-scale systems using real-world data, employing the latest technologies - graph databases like Neo4j, computer vision, NLP for recommendation generation, to name a few.
Key responsibilities:
1. Developing Python code for solving ML problems
2. Testing/Validating the code
3. Maintaining documentation detailing the code
Our team is passionate about data science & software engineering and believes in data-driven decision-making. You will get the opportunity to own parts of the project deliverables while getting exposure to technologies such as Node.js, AWS, and Kubernetes.
Degree from a good engineering college
2019 (or later) graduate from a reputed institute, with a degree in any quantitative-oriented subject (statistics, mathematics, computer science, other engineering fields)
Ability to write code in Python/Pandas – with a good understanding of data structures, functions, and loops (do not apply if you are not proficient in these areas)
Ability to understand the mathematical formulation and translate it into pseudo-code
Good critical thinking and problem-solving skills
Basic understanding of machine learning algorithms
Good to have basic knowledge of Docker and cloud technologies (AWS/GCP)
Annual CTC: ₹ 7,00,000 - 8,00,000 /year
Knowledge Foundry is a boutique analytics services company based out of Bangalore. We help clients in retail, healthcare, CPG, telecom, F&B, and internet domains with data-driven decision-making, and deliver high-impact solutions. Our solutions include machine learning and NLP.
