Senior Software Engineer (Data Scientist)

Role Senior Software Engineer (Data Scientist)

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

Years of Experience: 8 - 12 Years

Location: - Kochi/ Bangalore (Work from Office)

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