Start: ASAP

Duration: Long term, full-time

Employer: Kanda Software – Boston (www.kandasoft.com)

Rate: mid level: 5000 USD/month, senior level: 6000 USD/month

In this role, you will work with our seasoned Machine Learning & Data Scientists and engineers to build innovative AI solutions.

Responsibilities:

● Work on challenging AI/ML projects like NLP, computer vision, recommender systems, advanced statistical prediction models, and other AI technologies.

● Develop innovative solutions to business problems leveraging both classic and cutting-edge

AI/ML algorithms/frameworks

● Build end-to-end large-scale batch and real-time data pipelines and scalable architectures and services to efficiently handle large amounts of data

● Work with a state-of-the-art data technology stack (Spark, Tensorflow, Pytorch, Snowflake,

Airflow, AWS Ecosystem) that operates in the cloud to empower predictive modeling services for both internal and external customers.

● Productionize scalable and distributed data science solutions in cloud-based ecosystems and be responsible for day-to-day production support.

● You will be involved in the design and implementation of applications and tools based on AI

(including GenAI) that will revolutionize the way that our software interacts with users while

maintaining a responsible approach to the use of these technologies.

● Identify opportunities for data science to increase the organization’s efficiency and lift our core

business.

● Gain exposure to a wide range of business stakeholders and departments ranging from

Marketing, Merchandising, and Planning to Executive Leadership

● Work in multi-functional agile teams to continuously experiment, iterate, and deliver on

data-driven product objectives.

● Work closely with fellow engineers from other teams to design and develop cross-team data

exchange microservices, effectively communicating your needs and understanding theirs relevant experience in AI/ML

Requirements:

● Expertise in machine learning, feature engineering, and software development

● Experience with statistical modeling and large-scale data analytics

● Experience writing clean and efficient code in Python, SQL

● Knowledge of Spark or similar big data platforms and technology is preferred

● Experience working with structured, unstructured data and table design

● Deep understanding of system design, data structures, and algorithms

● Experience with Deep Learning frameworks (Tensorflow, Keras and/or Pytorch)

● Experience with workflow orchestration tools (e.g. Apache Airflow)

● Experience building scalable microservices for delivery of high-volume data on AWS or other

cloud platforms

● Experience with production grade LLMs and generative AI

● Fluency in English

● Experience working in an agile environment producing deliverables in a quick and iterative

manner

● Outstanding interpersonal and communication skills, the ability to work well in a close-knit team, ego-less coding habits, and a collaborative spirit

● Result-driven execution of AI/ML solutions to drive the business forward