Data Scientist - ML/AI Focus (Remote, Growth)

Adidev Technologies Inc; San Jose (CA); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Paid Relocation

Remote Support

Competitive Salary

Job Type: W2 or Contract 1099 (full‑?

Job summary

Adidev Technologies Inc. is seeking a Data Scientist focused on machine learning with 2+ years of relevant experience. The role emphasizes Python proficiency in cloud environments, ML/DL deployment, NLP and computer vision, and SQL-based data wrangling. Collaborative, deadline-driven team fit is essential.

The position involves building and debugging large-scale applications for well-known clients, with flexibility on project durations and a strong emphasis on communication skills.

Qualifications

• 2+ years of relevant data science experience.
• Strong Python skills in a cloud environment.
• Experience with ML/DL, NLP, and computer vision.
• Proficiency in SQL querying and data wrangling.
• Familiarity with cloud platforms and deploying pipelines with Kubernetes.
• Experience with TensorFlow/PyTorch, SciKit-Learn, and data pipelines.

Responsibilities

• Apply ML/DL methods to geospatial, environmental, and analytics problems.
• Develop and optimize data pipelines for large-scale applications.
• Extract, transform, and load data from structured/unstructured sources.
• Experiment with NLP and CV techniques to solve business use cases.
• Collaborate in a team to deliver reliable data science solutions.
• Communicate results with clarity using visualization tools.

Skills

Python

ML/DL

NLP

Computer Vision

SQL

Cloud

Tools

TensorFlow

PyTorch

Scikit-Learn

NumPy

Pandas

Flask

MongoDB

PostgreSQL

Streamlet

Job description

Adidev Technologies Inc. is seeking a Data Scientist focused on machine learning with 2+ years of relevant experience. The role emphasizes Python proficiency in cloud environments, ML/DL deployment, NLP and computer vision, and SQL-based data wrangling. Collaborative, deadline-driven team fit is essential.

The position involves building and debugging large-scale applications for well-known clients, with flexibility on project durations and a strong emphasis on communication skills.