Unruffled Feathers Enterprises Private Limited

Job Description – Data Scientist / Senior Data Scientist / Principal Data Scientist Location: Bangalore (On-Site) Experience Range: 4 to 15+ Years Joining: Immediate / Within 1 Week Preferred Work Timings: 10:00 AM – 6:00 PM About the Role We are hiring across multiple levels — Data Scientist, Senior Data Scientist, and Principal Data Scientist — for our Bangalore office. We are looking for professionals with a strong background in Machine Learning, Artificial Intelligence, Data Science, and hands-on experience building and deploying scalable ML solutions. Candidates with IoT or sensor-based ML experience will be given preference (not mandatory). If you are an immediate joiner and passionate about solving complex real-world problems using data, we would love to connect. Key Responsibilities For All Levels (4–15 years): Develop, train, optimize, and deploy Machine Learning and AI models for production environments. Work on end-to-end ML pipelines, including data collection, preprocessing, feature engineering, model development, evaluation, and deployment. Collaborate with cross-functional teams including engineering, product, and business to deliver impactful solutions. Build scalable solutions using Python, ML frameworks, and cloud-based tools. Conduct data analysis, visualization, and experimentation for business insights. Senior & Principal Levels: Architect and lead the design of highly scalable ML systems. Mentor junior data scientists and drive best practices in MLOps, experimentation, and research. Lead complex AI/ML initiatives and provide technical direction. Work with leadership to define ML/AI roadmap and strategy. Required Skills Mandatory: Strong expertise in Machine Learning, AI, Deep Learning, and Data Science. Hands-on experience with Python, ML libraries (TensorFlow, PyTorch, Scikit-learn, etc.). Experience with data pipelines, model training, model deployment, and evaluation at scale. Solid understanding of statistics, algorithms, and predictive modelling. Strong experience with SQL, data engineering basics, and cloud platforms (AWS/Azure/GCP). Preferred (Not Mandatory): IoT / sensor data analytics, predictive maintenance, time-series modelling. Exposure to MLOps tools (Docker, Kubernetes, MLflow, Airflow). Experience with Generative AI / LLMs is a plus. Who Should Apply? Professionals with 4 to 15+ years of experience in ML/AI/Data Science. Candidates available to join immediately or within 1 week. Individuals who are open to onsite work in our Bangalore office. People looking for career growth from Data Scientist → Senior → Principal roles. Compensation We offer a competitive salary based on market standards, along with a strong hike for the right candidate