Data Scientist

4 days ago

Bengaluru, India s3b global Full time

Job Title : Data Scientist (Machine Learning). Location : Bengaluru (Onsite). Interview Mode : Video. Duration : 6 Months Contract to Hire. Position Overview : We are seeking a highly skilled Data Scientist (ML) to join our team in Bengaluru. The ideal candidate will have strong expertise in Python programming and AI/ML methodologies, along with hands-on experience in implementing ML solutions at scale. This role requires a mix of technical proficiency, problem-solving ability, and effective communication skills to deliver impactful data-driven insights. Key Responsibilities : - Design, build, and implement machine learning models across diverse problem areas such as forecasting, clustering, regression, classification, and optimization. - Work extensively with Python (advanced OOP concepts) to develop production-ready solutions. - Leverage Azure tech stack, Databricks, MLflow, and cloud-based platforms for ML lifecycle management. - Utilize Airflow for orchestrating and automating data science workflows. - Apply MLOps practices and containerization tools (e.g., Docker) to deploy and manage ML models in production environments. - Collaborate with cross-functional teams (engineering, analytics, business stakeholders) to translate business challenges into machine learning solutions. - Maintain and manage version control (Git) for model development, experimentation, and deployment. - Prepare and deliver clear, compelling presentations of data science insights to technical and non-technical stakeholders. Requirements & Qualifications : - 36 years of experience in Data Science, Machine Learning, and advanced Python programming. - Strong background in AI/ML algorithms and hands-on application of ML techniques (forecasting, clustering, regression, classification, optimization). - Proficiency in Python with deep knowledge of OOP principles. - Experience with Azure stack, Databricks, MLflow, and orchestration tools like Airflow. - Strong understanding of MLOps practices and familiarity with Docker for containerization. - Hands-on experience with Git or other version control systems. - Strong analytical, problem-solving, and logical reasoning skills. - Excellent verbal and written communication skills with proven ability to interact effectively across all organizational levels. (ref:hirist.tech)

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