Data Scientist

3 weeks ago

Bengaluru, Karnataka, India AGILE TECHNOLOGY SOLUTIONS Full time

We are looking for a highly skilled and motivated Data Scientist to join our growing analytics and AI team. The ideal candidate will have deep expertise in machine learning, natural language processing (NLP), and data engineering, with the ability to design and implement scalable solutions for real-world business challenges. This role offers an opportunity to work on high-impact projects, leveraging advanced analytics to drive data-informed decisions and innovation.

Key Responsibilities :

- Collaborate with stakeholders to understand business problems and translate them into analytical or machine learning solutions.

- Design, build, and deploy end-to-end ML models (from data exploration to production deployment).

- Work extensively with Python, SQL/NoSQL databases to extract, clean, and transform large datasets.

- Develop and optimize ETL workflows and data pipelines to ensure robust data availability for model training and deployment.

- Build and experiment with ML frameworks such as PyTorch, TensorFlow, and Scikit-learn for predictive modeling and advanced analytics.

- Apply NLP and text mining techniques to solve problems in natural language understanding, classification, and semantic analysis.

- Perform exploratory data analysis (EDA), hypothesis testing, and feature engineering to improve model accuracy and Collaborate with data engineers and product teams to ensure smooth integration of models into production environments.

- Monitor model performance, retrain when required, and ensure scalability and reliability in production settings.

- Stay updated on the latest research and advancements in AI/ML, NLP, and data science to continuously enhance solution quality.

- Mentor junior team members and contribute to building a culture of data-driven innovation.

Required Skills & Qualifications :

- 6-12 years of professional experience as a Data Scientist or in a related role.

- Strong programming skills in Python with experience in SQL and NoSQL databases.

- Expertise in machine learning frameworks (PyTorch, Scikit-learn, TensorFlow).

- Hands-on experience with NLP techniques such as text classification, sentiment analysis, named entity recognition, embeddings, and transformers.

- Solid understanding of data engineering concepts, including ETL design, pipeline building, and workflow automation.

- Strong problem-solving and analytical skills with the ability to work with structured and unstructured data.

- Proven experience in taking models from concept to production.

- Strong communication skills to present findings, insights, and technical concepts to non-technical stakeholders.

Preferred Skills :

- Experience with cloud platforms (AWS, Azure, GCP) for ML model deployment and data pipeline management.

- Exposure to MLOps practices (CI/CD, model monitoring, automated retraining).

- Knowledge of big data frameworks such as Spark or Hadoop.

- Experience in deep learning architectures (RNNs, CNNs, Transformers, LSTMs).

(ref:hirist.tech)

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