Responsibilities include:
- Convert the machine learning models into application program interfaces (APIs) so that other applications can use it
- Build AI models from scratch and help the different components of the organization (such as product managers and stakeholders) understand what results they gain from the model
- Build data ingestion and data transformation infrastructure
- Automate infrastructure that the data science team uses
- Perform statistical analysis and tune the results so that the organization can make better-informed decisions
- Set up and manage AI development and product infrastructure
- Be a good team player, as coordinating with others is a must
About Matellio India Private Limited
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Carsome’s Data Department is on the lookout for a Data Scientist/Data Science Lead who has a strong passion in building data powered products.
Data Science function under the Data Department has a responsibility for standardisation of methods, mentoring team of data science resources/interns, including code libraries and documentation, quality assurance of outputs, modeling techniques and statistics, leveraging a variety of technologies, open-source languages, and cloud computing platform.
You will get to lead & implement projects such as price optimization/prediction, enabling iconic personalization experiences for our customer, inventory optimization etc.
Job Descriptions
- Identifying and integrating datasets that can be leveraged through our product and work closely with data engineering team to develop data products.
- Execute analytical experiments methodically to help solve various problems and make a true impact across functions such as operations, finance, logistics, marketing.
- Identify, prioritize, and design testing opportunities that will inform algorithm enhancements.
- Devise and utilize algorithms and models to mine big data stores, perform data and error analysis to improve models and clean and validate data for uniformity and accuracy.
- Unlock insights by analyzing large amounts of complex website traffic and transactional data.
- Implement analytical models into production by collaborating with data analytics engineers.
Technical Requirements
- Expertise in model design, training, evaluation, and implementation ML Algorithm expertise K-nearest neighbors, Random Forests, Naive Bayes, Regression Models. PyTorch, TensorFlow, Keras, deep learning expertise, tSNE, gradient boosting expertise, regression implementation expertise, Python, Pyspark, SQL, R, AWS Sagemaker /personalize etc.
- Machine Learning / Data Science Certification
Experience & Education
- Bachelor’s in Engineering / Master’s in Data Science / Postgraduate Certificate in Data Science.
1. Excellent design coordination with Project Architects, Structural, MEP, Landscape, Environmental, Façade, etc. for planning and designing of high-rise residential, commercial, hospitality & Institutional projects.
2. Coordinating with legal, liaisoning, marketing, and sales departments to provide all necessary information like legal plans, sales plans, allotments, area statements, etc.
3. Coordinate with various agencies to get NOCs for sanctioning work.
4. Producing detailed drawings for the Execution team on time, monitoring & coordinate with the project team for smooth execution of work. Site checking & site coordination for projects.
5. Documentation, Fair Knowledge of NBC, Local Government Body Building rules, Fire Norms, Environment Norms, Rera and its documentation, Master plans, Land use & zoning.
6. Review construction documents to foresee prospective site issues and resolve them on the drawing board with all the consultants involved.
7. Coordination with the site team, vendors/contractors, and all stakeholders involved in the delivery of projects.
8. Managing and maintaining drawing deliverable records, and Safeguarding the project drawings & documents.
9. Produce detailed blueprints and make any necessary corrections & compile project specifications and Keep within budgets and timelines.
10. Following the latest materials, architectural trends, and advancements, an understanding of all aspects of the design.
Requirement Analysis
- Programming/Software Development
- Developer Testing
- Code Review
- Client Handling
Experience of Linux
Experience using Python or Shell scripting (for Automation)
Hands-on experience with Implementation of CI/CD Processes
Experience working with one cloud platforms (AWS or Azure or Google)
Experience working with configuration management tools such as Ansible & Chef
Experience working with Containerization tool Docker.
Experience working with Container Orchestration tool Kubernetes.
Experience in source Control Management including SVN and/or Bitbucket
& GitHub
Experience with setup & management of monitoring tools like Nagios, Sensu & Prometheus or any other popular tools
Hands-on experience in Linux, Scripting Language & AWS is mandatory
Troubleshoot and Triage development, Production issues
• Provides remote planning (design), implementation and/or administrative support on Dell server and storage products involving software. • Performs initial installation, implementation, customization, integration and outline orientation for the customer. • Works closely with other Dell teams, account team and Customer.
Essential Skill Requirements: • Understanding of compute environment eco system • Dell PowerEdge Servers & modular server – planning, implementation and/or administrative • Dell Power Vault – MD / ME4 series storage planning, implementation and/or administrative • Dell Storage – NX, SC Series storage planning, implementation • Experience with basic network switch technologies (Ethernet, Fibre Channel) IP networking and L2 switches. • Operating system installation and configuration: o Windows Server (inclusive of Hyper-V clustering) o VMWare ESXi and virtualization o Red hat Linux • Possesses file, P2V and/or V2V migration experience will have an added advantage.
Desirable Requirements: • Customer Service skill. • Stakeholder management. • Possess excellent problem solving, communication and organizational skills • Flexibility, dependability and have excellent time management skills • Good presentation skills • Analytical, articulate, results-oriented and able to provide excellent follow-ups. • Strong technical aptitude. • Ability to multi-task and influence others to achieve results. • Possesses Professional certification from Cisco/VMWare/Microsoft/Red Hat/Cloud will have an added advantage.
- The SA must have experience in the following areas:
- GCP Infrastructure as code (knowledge of terraform, etc.) and how to deploy
- GCP Service Architecture and Tooling knowledge
- Some experience with GCP Big Query to allow for strategies when online services need to query for data (scale cost vs fixed)
- Experience with online Google tools ecosystem (Tag Manager, Optimise, GMP)
- Some knowledge of network infrastructure on GCP
- Working with security gateways
- Working with elastic infrastructure and container technologies is desirable