Data Science
Machine Learning (ML)
Deep Learning
PythonResponsibilities 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
Subodh Popalwar
Software Engineer, Memorres
About Matellio India Private Limited
As an end-to-end web and mobile app development company, we help businesses create robust, IoT, AI/ ML, and Location-based solutions. Get in touch to book a free consultation!
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● Build Data ETL Pipelines
● Develop data set processes
● Strong analytic skills related to working with unstructured datasets
● Evaluate business needs and objectives
● Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery
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● Proven experience as a data engineer, software developer, or similar of at least 3 years.
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● Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
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● Experience with Azure, AWS cloud services: EC2, EMR, RDS, Redshift
● Experience with BigQuery
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• Excellent hands-on expert knowledge of cloud platform infrastructure and administration
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Kubeflow)
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• Experience setting up at least one contemporary MLOps tooling (e.g., experiment tracking,
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· A Data Engineer understands the client requirements and develops and delivers the data engineering solutions as per the scope.
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Job Responsibilities
• Design of data solutions on Databricks including delta lake, data warehouse, data marts and other data solutions to support the analytics needs of the organization.
• Apply best practices during design in data modeling (logical, physical) and ETL pipelines (streaming and batch) using cloud-based services.
• Design, develop and manage the pipelining (collection, storage, access), data engineering (data quality, ETL, Data Modelling) and understanding (documentation, exploration) of the data.
• Interact with stakeholders regarding data landscape understanding, conducting discovery exercises, developing proof of concepts and demonstrating it to stakeholders.
Technical Skills
• Has more than 2 Years of experience in developing data lakes, and datamarts on the Databricks platform.
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• Experience in Pentaho
• Good understanding of developing a data warehouse, data marts etc.
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Personality Traits
• Good collaboration and communication skills
• Excellent problem-solving skills to be able to structure the right analytical solutions.
• Strong sense of teamwork, ownership, and accountability
• Analytical and conceptual thinking
• Ability to work in a fast-paced environment with tight schedules.
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BE / ME / MS/MCA.
ScalaShould have Passion to learn and adapt new technologies, understanding,
solving/troubleshooting issues and risks, able to make informed decisions and ability to
lead the projects.
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- 2-5 Years’ Experience with functional programming
- Experience with functional programming using Scala with Spark framework.
- Strong understanding of Object-oriented programming, data structures and algorithms
- Good experience in any of the cloud platforms (Azure, AWS, GCP) etc.,
- Experience with distributed (multi-tiered) systems, relational databases and NoSql storage solutions
- Desire to learn new technologies and languages
- Participation in software design, development, and code reviews
- High level of proficiency with Computer Science/Software Engineering knowledge and contribution to the technical skills growth of other team members
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- Design, build and configure applications to meet business process and application requirements
- Proactively identify and communicate potential issues and concerns and recommend/implement alternative solutions as appropriate.
- Troubleshooting & Optimization of existing solution
Provide advice on technical design to ensure solutions are forward looking and flexible for potential future requirements and business needs.
Machine Learning (ML)Data ScienceAbout the Company
- 💰 Early-stage, ed-tech, funded, growing, growing fast.
- 🎯 Mission Driven: Make Indonesia competitive on a global scale.
- 🥅 Build the best educational content and technology to advance STEM education
- 🥇 Students-First approach
About the People
- ❤️ Love what we do
- 🎮 Committed to making learning fun, accessible, and safe
- 🤝 Teams are better. We value ownership, responsibility, transparency
- 🌏 Global, diverse backgrounds. Been there, done that.
What does it look like one year from now?
- CoLearn has grown so much, and you’ve been an important part of the growth. You solved hard problems that many didn’t know existed.
- You’ve led the data science function and laid out the roadmap, implemented best practices, and grown the team. You’ve executed mission-critical projects. Congratulations!
- You’re exploring what Data Science can do for the students, parents, teachers, educators.
- You’ve been speaking at Data Science conferences about the image recognition system we built from scratch. You casually threw in the semantic search engine on slide 77.
- The engineering and product teams are your friends. The teams take cross-functional collaboration, testing, and modeling for granted. It’s their second nature.
- You have an encyclopedic knowledge of CoLearn’s data structures and metrics, and you’ve often provided key ideas for the product.
About you
- Highly-skilled and experienced Data Scientist and leader
- You are interested in creating next-gen data-powered education tech products.
- You’ve worked in a Data Science role before where you took a data product to market
- You are comfortable working with unknowns, evaluating the data, and applying scientific techniques to business problems and products
- You’ve built platforms and systems from scratch
- You have a track record of developing and deploying data-science models to production
Let’s talk tech
- End-to-end AI/ML systems in the cloud, including data processing, feature engineering, and tuning of ML models in training and production (MLOps) — with both structured and unstructured data.
- Deep Learning and Computer Vision models, ideally in a production environment
- Hands-on Python/SQL, scikit-learn, Keras, PyTorch, Tensorflow, MXnet, etc.
- Experience in Scala/Java/Go/C/C++ is a plus plus
- Airflow/Luigi/Oozie and the likes
- Familiarity with cloud deployment strategies (AWS/GCP) to deploy at scale
Track record
- B.S./B.E./M.S./PhD in a quantitative field such as Computer Science, Engineering, Math, Statistics or equivalent years of experience
- 10+ years of experience in data science, algorithmic engineering, and machine learning. Preferably solved problems from scratch to scale
- Experience in hiring, managing highly-performant teams, and mentoring data science, data engineering, and analytics teams
- Experience developing a data science strategy, building the roadmap, and leading the execution
- Track record of recruiting talent in analytics and data science
You will make us go 😍 if:
- You’ve won algorithm and machine learning competitions such as ACM and Kaggle
- You have research publications and citations in top tier journals
- You have a portfolio of side projects and can show it to us
The candidate must have Expertise in ADF(Azure data factory), well versed with python.
Performance optimization of scripts (code) and Productionizing of code (SQL, Pandas, Python or PySpark, etc.)
Required skills:
Bachelors in - in Computer Science, Data Science, Computer Engineering, IT or equivalent
Fluency in Python (Pandas), PySpark, SQL, or similar
Azure data factory experience (min 12 months)
Able to write efficient code using traditional, OO concepts, modular programming following the SDLC process.
Experience in production optimization and end-to-end performance tracing (technical root cause analysis)
Ability to work independently with demonstrated experience in project or program management
Azure experience ability to translate data scientist code in Python and make it efficient (production) for cloud deployment
JavaPython
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Software Engineer, Memorres