Manager- Python and DS Stack

Location: Bengaluru • Experience: Senior Level • Openings: 1

Job description

Role Overview

Will drive impactful contributions through the design, development, and implementation of data-driven solutions. You will be a key member of the engineering and data science organization, collaborating with business stakeholders, architects, product teams, and cross-functional technology teams. You will have the autonomy to lead, innovate, and improve workflows while upholding our commitment to quality, operational excellence, and continuous learning.

Responsibility

Lead and mentor a team of Python developers and data scientists, providing technical guidance and fostering a collaborative and innovative environment.

Oversee the architecture, technical design, and implementation of scalable and robust software solutions using Python.

Manage project timelines, deliverables, stakeholder communications, and ensure successful project execution.

Design, develop, and deploy data science models and machine learning solutions to solve complex business problems.

Establish and enforce coding standards, conduct code reviews, and drive best practices across development teams.

Collaborate with cross-functional teams to deliver high-quality products and integrated technology solutions.

Translate business requirements into scalable technical solutions and actionable data-driven outcomes.

Coordinate with technical leaders and architects to maintain consistency, integration, and alignment across projects.

Evaluate and adopt emerging technologies, tools, and frameworks in Python, Data Science, and Machine Learning.

Optimize the performance, scalability, reliability, and security of data-driven applications and platforms.

Skillset

12+ years of hands-on experience in application design, software engineering, and technology solution delivery.

Strong expertise in Python programming and data science libraries including Pandas, NumPy, Scikit-learn, TensorFlow, and PyTorch.

Proven experience in machine learning algorithms, statistical analysis, predictive modeling, and data science solution development.

Strong proficiency in SQL and NoSQL database technologies.

Experience working with big data technologies such as Hadoop, Spark, and Kafka.

Expertise in data preprocessing, feature engineering, data wrangling, and model optimization.

Experience establishing and managing CI/CD pipelines using tools such as Jenkins, GitLab CI, CircleCI, or Azure DevOps.

Hands-on experience with containerization and orchestration technologies including Docker and Kubernetes.

Knowledge of cloud platforms such as AWS, Google Cloud Platform (GCP), and Microsoft Azure.

Strong analytical, problem-solving, and decision-making skills.

Ability to troubleshoot and resolve complex technical challenges efficiently.

Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.

Relevant certifications in Data Science, Artificial Intelligence, or Machine Learning.

Strong communication, stakeholder management, and leadership capabilities.