Data Scientist

We are a Google Partner Agency & Google Tag Manager Certified Partner that believes that when the right set of people forms a team they can achieve formidable things. India s Digital industry is going to grow 10-fold in the next 5 years and we intend to play a strong role in that growth. If you think you have the potential to pace up with a fast growth process driven organization, we are waiting to hear from you.

Join our team and unlock new opportunities in the world of data! If you re passionate about AI, analytics, and problem-solving .

- Design, build, and deploy machine learning models for predictive analytics, recommendation systems, and customer segmentation

- Work on supervised, unsupervised, and reinforcement learning techniques to solve business problems

- Develop and fine-tune LLMs (e.g., GPT, BERT, or similar) for applications like natural language processing (NLP), chatbots, and text analytics

- Implement prompt engineering and optimize LLM performance for specific use cases.

- Analyze large datasets to identify trends, patterns, and actionable insights.

- Perform feature engineering and data preprocessing to improve model performance.

- Deploy models into production environments using tools like TensorFlow, PyTorch, or MLflow

- Monitor model performance, retrain models, and implement improvements as needed

- Work closely with data engineers, cloud specialists, and marketing teams to deliver end-to-end AI/ML solutions

- Communicate complex technical concepts to non-technical stakeholders and clients.

- Experiment with new tools, frameworks, and methodologies to drive innovation.

- Bachelor s or Master s degree in Computer Science, Data Science, Statistics, or a related field.

- 3+ years of hands-on experience in data science, AI/ML modeling, and Python programming

- Strong expertise in machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn.

- Experience with Large Language Models (LLMs) such as GPT, BERT, or similar

- Proficiency in Python and libraries like Pandas, NumPy, and NLTK

- Familiarity with cloud platforms like Google Cloud Platform (GCP), AWS, or Azure

- Strong understanding of NLP techniques and tools (e.g., SpaCy, Hugging Face).

- Excellent problem-solving skills and ability to work in a fast-paced environment.

- Experience with prompt engineering and fine-tuning LLMs for specific use cases.

- Knowledge of deep learning architectures (e.g., RNNs, CNNs, Transformers).

- Familiarity with BigQuery or other cloud-based data warehouses.

- Experience in deploying models using Docker or Kubernetes.

- Understanding of data governance and AI ethics.

- Experience with data visualization tools like Tableau, Power BI, or Looker Studio.