Terawe is an IT solutions and services firm, based in Bellevue, WA USA, with offices in India, Australia, Canada, and Ireland. We are focused on developing industry-wide solutions on cloud infrastructure, productivity, data platforms, and artificial intelligence across multiple verticals such as Retail, Education, Finance, Manufacturing, and Healthcare, and work closely with several enterprise customers globally.

About the job

Role – Senior Software Engineer (Data Scientist)

Educational Qualification: - Bachelor of Technology in Computer Science or related field

Years of Experience: 7 - 12 Years Location: - Kochi / Bangalore (Work from Office)

Note:- Positions to be closed immediatly

Required Skills

 8+ years of software development experience with a minimum of 4 years as a full-time Data Scientist, Machine Learning Researcher, or ML Engineer

Strong programming skills in Python and R with experience in libraries like Pandas, NumPy, scikit-learn

Hands-on experience with deep learning frameworks: TensorFlow, PyTorch, Keras

Solid understanding of various machine learning techniques (e.g., clustering, decision trees, neural networks)

Experience in Natural Language Processing (NLP), especially sentiment analysis, entity recognition, and using SpaCy

Proficiency with SQL databases and complex queries

Proven ability to work independently in fast-paced, start-up-like environments

Cloud platform experience (AWS, GCP, or Azure)

Specialized AI Skills

Experience deploying and fine-tuning Large Language Models (LLMs)

Knowledge of Reinforcement Learning techniques

Expertise in Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs)

Experience with audio, video, and image intelligence applications

 

Roles & Responsibilities

Design, build, deploy, monitor, and maintain machine learning models

Perform feature engineering to identify and calculate valuable input features

Clean, analyze, and prepare new data sources for analysis and model input

Use data visualization tools to communicate insights effectively across teams

Work with Data Engineers to transition models from research to production

Optimize model performance using adaptive/incremental ML techniques

Align customer/product needs with appropriate modeling or visualization approaches

Recommend and implement solutions to improve data quality and reliability

Collaborate with the Product Development Team on new feature planning

 

AI-Focused Responsibilities:

Deploy and fine-tune LLMs for various business applications

Apply reinforcement learning in predictive analytics and decision-making

Develop deep learning models for NLP, computer vision, and audio/video analytics

Design AI-driven solutions targeting audio, video, and image intelligence