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Senior Data Scientist Deep Learning

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Job Description

Skills:
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

Data Engineering & Processing

  • 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

Deployment & MLOps

  • 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

AI Frameworks & Technologies

  • 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

Collaboration & Leadership

  • 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

Required Skills & Experience

  • 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

What We Look For

  • 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

Preferred Qualifications

  • 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

More Info

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Job ID: 143748109