Description
Ciklum
is looking for a Data Science Engineer
to join our team full-time in India. We are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges. With a global team of over 4,000 highly skilled developers, consultants, analysts and product owners, we engineer technology that redefines industries and shapes the way people live.
About the role:
As a Data Science Engineer, become a part of a cross-functional development team engineering experiences of tomorrow.
This role focuses on leveraging expertise in signal processing and computer vision to develop innovative, data-powered software products. The ideal candidate will have a proven track record of working with both structured and unstructured data, including IoT sensor data and images, and will be responsible for the end-to-end development of machine learning solutions.
Responsibilities
- Design, develop, and deploy advanced computer vision models for tasks such as object detection, image classification, and automated image analysis
- Lead the extraction, cleaning, and enrichment of large-scale IoT sensor data to uncover actionable insights
- Apply sophisticated signal processing techniques to analyze time-series sensor data, identify patterns, and build predictive models
- Manage the full lifecycle of AI/ML projects, from proof-of-concept for major clients to final deployment
- Implement and maintain robust data and code pipelines using MLOps best practices, including containerization with Docker and CI/CD workflows
- Utilize model explainability frameworks like SHAP to interpret complex models and communicate findings to stakeholders
- Collaborate with cross-functional teams to design and build REST APIs for serving machine learning models
Requirements
- Experience: 6+ years in the AI/ML domain, with a strong portfolio of projects in computer vision and data science
- Programming: High proficiency in Python and SQL
- ML/DL Frameworks: Hands-on experience with libraries such as PyTorch, Keras, Scikit-learn, Pandas, and OpenCV
- Computer Vision: Demonstrated experience in developing and benchmarking object detection models (e.g., YOLO) and other vision-based applications
- Cloud & DevOps: Familiarity with cloud platforms (Azure, AWS, GCP) and MLOps tools including Git, Docker, Terraform, and CI/CD pipelines
- Education: Bachelor of Engineering degree or equivalent in a relevant technical field
Desirable
- Experience with big data technologies such as PySpark and Databricks.
- Knowledge of advanced NLP techniques, including Retrieval-Augmented Generation (RAG) and Large Language Models (LLMs).
- Certifications such as a Nano Degree in Deep Learning or specializations in Data Engineering on cloud platforms.
- Proven ability to lead and mentor data science teams.
Whats in it for you
- Strong community: Work alongside top professionals in a friendly, open-door environment
- Growth focus: Take on large-scale projects with a global impact and expand your expertise
- Tailored learning: Boost your skills with internal events (meetups, conferences, workshops), Udemy access, language courses, and company-paid certifications
- Endless opportunities: Explore diverse domains through internal mobility, finding the best fit to gain hands-on experience with cutting-edge technologies
- Care: We ve got you covered with company-paid medical insurance, mental health support, and financial & legal consultations
