Data Scientist - Machine Learning

We're hiring Data Scientist for Bangalore location on urgent basis.

Exp : 2-4yrs

Salary budget upto max 20 LPA

Job Description :

- To perform in-depth analysis of data and machine learning models to identify insights and areas of improvement.

- Develop and implement models using both classical machine learning techniques and modern deep learning approaches.

- Deploy machine learning models into production, ensuring robust MLOps practices including CI/CD pipelines, model monitoring, and drift detection.

- Conduct fine-tuning and integrate Large Language Models (LLMs) to meet specific business or product requirements.

- Optimize models for performance and latency, including the implementation of caching strategies where appropriate.

- Collaborate cross-functionally with data scientists, engineers, and product teams to deliver end-to-end ML solutions.

Mandatory Requirements :

- Utilized various statistical techniques to derive important insights and trends.

- Proven experience in machine learning model development and analysis using classical and neural networks based approaches.

- Strong understanding of LLM architecture, usage, and fine-tuning techniques.

Required Skills :

- Solid understanding of statistics, data preprocessing, and feature engineering.

- Proficient in Python and popular ML libraries (scikit-learn, PyTorch, TensorFlow, etc.).

- Strong debugging and optimization skills for both training and inference pipelines.

- Familiarity with data formats and processing tools (Pandas, Spark, Dask).

- Experience working with transformer-based models (e.g., BERT, GPT) and Hugging Face ecosystem.

Good to Have Skills :

- Experience with MLOps tools (e.g., MLflow, Kubeflow, SageMaker, or similar).

- Experience with monitoring tools (Prometheus, Grafana, or custom solutions for ML metrics).

- Familiarity with cloud platforms (Sagemaker, AWS, GCP, Azure) and containerization (Docker, Kubernetes).

- Hands-on experience with MLOps practices and tools for deployment, monitoring, and drift detection.

- Exposure to distributed training and model parallelism techniques.

- Prior experience in AB testing ML models in production.

Notice period : Immediate or who can join within upto max 30 days.