Senior Data Scientist – Deep Learning

Overview

Data Scientist, Machine Learning Engineer, Deep Learning, Neural Networks, CNN, RNN, LSTM,

Title: Senior Data Scientist - Deep Learning

Location: Thousand Lights, Chennai

Work Mode - Onsite (5 Days) Sat/Sun - Week Off

Shift: General (10 AM to 8 PM) IST

Department: Software Development

Employment Type: Full Time

Notice Period: Immediate

About Colan Infotech - https://colaninfotech.com/

Colan Infotech is a fast-growing CMMI Level 3 digital transformation and technology services company delivering innovative solutions across AI, Cloud, Mobility, Web Applications, DevOps, and Product Engineering. With a strong global footprint spanning the US, UK, India, and GCC, we partner with organizations to build scalable, future-ready technology products.

Backed by a culture that values innovation, ownership, continuous learning, and collaboration, Colan Infotech provides an environment where people grow, contribute meaningfully, and make a real impact.

About The Role

We are seeking an experienced Data Scientist - Deep Learning with 5 years of hands-on experience in building, optimizing, and deploying AI models. The ideal candidate will have strong expertise in neural networks, machine learning algorithms, and large-scale data processing. This role requires ownership of end-to-end model development, from research and experimentation to production deployment.

Key Responsibilities

Model Development & Optimization

• Design, develop, and deploy advanced deep learning models (CNN, RNN, LSTM, Transformers)
• Build scalable AI solutions for real-world business problems
• Perform feature engineering, hyperparameter tuning, and model optimization
• Implement transfer learning and fine-tuning of pre-trained models
• Improve model accuracy, efficiency, and scalability
  
  

• Work with large structured and unstructured datasets
• Develop data pipelines for training and inference workflows
• Perform exploratory data analysis (EDA) and statistical analysis
• Ensure data quality, validation, and governance
  
  

• Deploy models into production using APIs and containerization tools
• Work with Docker, Kubernetes, and CI/CD pipelines
• Monitor model performance and retrain models when necessary
• Collaborate with DevOps teams for scalable deployment
  
  

• Strong hands-on experience with Python
• Expertise in TensorFlow and/or PyTorch
• Experience with Scikit-learn, NumPy, Pandas
• Exposure to cloud platforms (AWS / Azure / GCP)
• Knowledge of distributed computing frameworks is an added advantage
  
  

• Work closely with product managers, engineers, and stakeholders
• Translate business problems into data science solutions
• Mentor junior data scientists and review code/models
• Present insights and model results to technical and non-technical audiences
  
  

• 5+ years of experience in Data Science / Machine Learning
• Strong expertise in Deep Learning architectures (CNN, RNN, LSTM, Transformers)
• Experience in model deployment and MLOps practices
• Solid understanding of statistics, probability, and linear algebra
• Experience handling large-scale datasets
• Strong problem-solving and analytical skills
  
  

• Ownership mindset with ability to drive projects independently
• Strong research and innovation orientation
• Excellent communication and presentation skills
• Ability to work in fast-paced environments
• Passion for AI and continuous learning
  
  

• Bachelors or Masters Degree in Computer Science, AI, Data Science, or related field
• Experience in Computer Vision, NLP, Recommendation Systems, or Generative AI
• Exposure to Big Data technologies (Spark, Hadoop)
  
  

Experience leading AI initiatives or mentoring teams