Full Stack Developer

Key Responsibilities: Design, develop, and implement machine learning models and algorithms. Analyze large datasets to extract actionable insights. Build and optimize data pipelines for model training and deployment. Deploy ML models into production using appropriate MLOps practices. Collaborate with software engineers and domain experts to integrate models into applications. Evaluate and improve model performance over time. Stay updated with the latest research and techniques in AI/ML. Required Skills & Qualifications: 2–5 years of experience in AI/ML, data science, or a similar role. Proficiency in Python and libraries such as scikit-learn, TensorFlow, PyTorch, or XGBoost. Strong understanding of supervised, unsupervised, and deep learning techniques. Experience with data preprocessing, feature engineering, and model evaluation. Solid knowledge of statistics and probability. Hands-on experience with model deployment tools (e.g., Flask, FastAPI, Docker). Familiarity with cloud platforms (AWS, GCP, Azure) and ML services. Experience with SQL and NoSQL databases. Preferred Qualifications: Exposure to NLP, computer vision, or time-series forecasting. Experience with MLOps tools like MLflow, Kubeflow, or SageMaker. Familiarity with big data tools (e.g., Spark, Hadoop). Publications in AI/ML conferences or open-source contributions. Job Types: Full-time, Permanent Pay: ₹800,000.00 - ₹1,200,000.00 per year Benefits: Provident Fund Schedule: Day shift Supplemental Pay: Performance bonus Education: Bachelor's (Required) Experience: Data science,or similer role: 2 years (Required) Language: English (Required) Work Location: In person