Polestar Solutions - Data Science Specialist - Machine Learning

Job Locations : Noida/Bangalore/Kolkata.

Description :

Your Role and Responsibilities :

- 3+ years of experience in a Data Science, machine learning or a related field.

- Strong hands-on experience in Machine Learning and Statistics focusing on structured and unstructured data problems.

- Practical experience in several of the following areas : time series forecasting, clustering and classification techniques, regression, boosting algorithms, optimization techniques, NLP, recommendation systems, ElasticNet Excellent programming skills preferably in Python/Py spark and SQL.

- Understanding of developing, implementing, deploying machine learning models on the cloud platforms(Azure, AWS, GCP) by using AWS/Azure Machine Learning, Data bricks, or other relevant cloud services.

- Integrate machine learning models into existing systems and applications, ensuring seamless functionality and data flow.

- Understanding of developing and maintaining MLOps pipelines for automated model training, testing, deployment, and monitoring.

- Understanding of monitoring and analysing model performance, providing reports and insights to stakeholders as needed.

- Familiarity with data processing and storage tools, such as SQL, Hadoop, or Spark Advanced engineering abilities to deliver flexible and scalable end-to-end machine learning solutions.

- Exposure to data visualization software and packages (Power BI, Tableau, matplotlib, d3) Understands challenges in business area, applicability of relevant data science disciplines, and system interactions.

- Excellent written and verbal communication skills, confidence in presenting ideas and findings to stakeholders, and ability to do so at the right level of detail.

Required Technical and Professional Expertise :

- Strong foundation in Supervised and Unsupervised Learning (Regression, Classification, Clustering, etc.

- Proficiency in Ensemble Learning (Random Forest, Gradient Boosting, XGBoost, LightGBM, etc.

- Experience in fine-tuning Large Language Models (LLMs) and working with open-source models (Llama, GPT, BERT, etc.

- Familiarity with Prompt Engineering, RAG (Retrieval-Augmented Generation), and Fine-tuning techniques.

- Hands-on experience with Cloud Platforms (AWS, GCP, Azure) for ML model deployment.

- Familiarity with MLOps and Model Deployment using Kubernetes, Docker, and MLflow.

About Polestar :