Data Scientist (Machine Learning)

Role Overview

Softkode Technologies is seeking an experienced Data Scientist specialized in Machine Learning to develop and deploy robust AI-driven solutions in a production setting. This opportunity is based in Chakan, Pune and requires a minimum of four years of relevant experience.

Key Responsibilities

• Design and implement machine learning and deep learning models tailored to business needs.
• Preprocess raw data and engineer meaningful features to enhance model performance.
• Perform feature selection and fine-tune hyperparameters for optimal results.
• Create comprehensive, end-to-end machine learning pipelines.
• Deploy models into production environments using Python frameworks such as FastAPI or Flask.
• Manage and process large-scale datasets efficiently utilizing Python and SQL.
• Evaluate and optimize model accuracy, precision, recall, F1 score, and ROC-AUC metrics.
• Continuously monitor models in production to detect drift and implement retraining protocols.
• Collaborate closely with backend and product teams to integrate AI solutions effectively.
• Explore and work on Generative AI and Large Language Model (LLM) based projects.

Required Skills and Expertise

• Proficiency in Python programming with libraries including Scikit-learn, Pandas, and NumPy.
• Strong understanding of machine learning concepts such as Regression, Classification, Clustering, Random Forest, XGBoost, and LightGBM.
• Experience with model validation techniques like cross-validation and metrics evaluation.

Desirable Additional Skills

• Familiarity with deep learning frameworks such as TensorFlow and PyTorch.
• Knowledge of Generative AI, LLMs, and tools like OpenAI, LangChain, or Hugging Face.
• Experience in MLOps practices and using tools like MLflow.
• Competency with containerization and orchestration technologies such as Docker and Kubernetes.
• Experience with cloud platforms including AWS, Azure, or Google Cloud Platform.
• Ability to build APIs using FastAPI or Flask for model deployment.

Candidate Profile

The ideal candidate should be focused on delivering production-level AI solutions, comfortable handling unstructured or messy data, analytical by nature, and proactive in ownership of end-to-end AI projects.