• Drive the data engineering implementation
• Strong experience in building data pipelines
• AWS stack experience is must
• Deliver Conceptual, Logical and Physical data models for the implementation
teams.
• SQL stronghold is must. Advanced SQL working knowledge and experience
working with a variety of relational databases, SQL query authoring
• AWS Cloud data pipeline experience is must. Data pipelines and data centric
applications using distributed storage platforms like S3 and distributed processing
platforms like Spark, Airflow, Kafka
• Working knowledge of AWS technologies such as S3, EC2, EMR, RDS, Lambda,
Elasticsearch
• Ability to use a major programming (e.g. Python /Java) to process data for
modelling.
Similar jobs
With 30B+ medical and pharmacy claims covering 300M+ US patients, Compile Data helps life science companies generate actionable insights across different stages of a drug's lifecycle. Through context driven record-linking and machine-learning algorithms, Compile's platform transforms messy and disparate datasets into an intuitive graph of healthcare providers and all their activities.
Responsibilities:
- Help build intelligent systems to cleanse and record-link healthcare data from over 200 sources
- Build tools and ML modules to generate insights from hard to analyse healthcare data, and help solve various business needs of large pharma companies
- Mentoring and growing a data science team
Requirements:
- 4-8 years of experience in building ML models, preferably in healthcare
- Worked with NN and ML algorithms, solved problems using panel and transactional data
- Experience working on record-linking problems and NLP approaches towards text normalization and standardization is a huge plus
- Proven experience as an ML Lead, worked in Python or R; with experience in developing big-data ML solutions at scale and integration with production software systems
- Ability to craft context around key business requirements and present ideas in business and user friendly language
Purpose of Job:
Responsible for drawing insights from many sources of data to answer important business
questions and help the organization make better use of data in their daily activities.
Job Responsibilities:
We are looking for a smart and experienced Data Engineer 1 who can work with a senior
manager to
⮚ Build DevOps solutions and CICD pipelines for code deployment
⮚ Build unit test cases for APIs and Code in Python
⮚ Manage AWS resources including EC2, RDS, Cloud Watch, Amazon Aurora etc.
⮚ Build and deliver high quality data architecture and pipelines to support business
and reporting needs
⮚ Deliver on data architecture projects and implementation of next generation BI
solutions
⮚ Interface with other teams to extract, transform, and load data from a wide variety
of data sources
Qualifications:
Education: MS/MTech/Btech graduates or equivalent with focus on data science and
quantitative fields (CS, Eng, Math, Eco)
Work Experience: Proven 1+ years of experience in data mining (SQL, ETL, data
warehouse, etc.) and using SQL databases
Skills
Technical Skills
⮚ Proficient in Python and SQL. Familiarity with statistics or analytical techniques
⮚ Data Warehousing Experience with Big Data Technologies (Hadoop, Hive,
Hbase, Pig, Spark, etc.)
⮚ Working knowledge of tools and utilities - AWS, DevOps with Git, Selenium,
Postman, Airflow, PySpark
Soft Skills
⮚ Deep Curiosity and Humility
⮚ Excellent storyteller and communicator
⮚ Design Thinking
2. Responsible for gathering system requirements working together with application architects
and owners
3. Responsible for generating scripts and templates required for the automatic provisioning of
resources
4. Discover standard cloud services offerings, install, and execute processes and standards for
optimal use of cloud service provider offerings
5. Incident Management on IaaS, PaaS, SaaS.
6. Responsible for debugging technical issues inside a complex stack involving virtualization,
containers, microservices, etc.
7. Collaborate with the engineering teams to enable their applications to run
on Cloud infrastructure.
8. Experience with OpenStack, Linux, Amazon Web Services, Microsoft Azure, DevOps, NoSQL
etc will be plus.
9. Design, implement, configure, and maintain various Azure IaaS, PaaS, SaaS services.
10. Deploy and maintain Azure IaaS Virtual Machines and Azure Application and Networking
Services.
11. Optimize Azure billing for cost/performance (VM optimization, reserved instances, etc.)
12. Implement, and fully document IT projects.
13. Identify improvements to IT documentation, network architecture, processes/procedures,
and tickets.
14. Research products and new technologies to increase efficiency of business and operations
15. Keep all tickets and projects updated and track time in a detailed format
16. Should be able to multi-task and work across a range of projects and issues with various
timelines and priorities
Technical:
• Minimum 1 year experience Azure and knowledge on Office365 services preferred.
• Formal education in IT preferred
• Experience with Managed Service business model a major plus
• Bachelor’s degree preferred
You will:
- Create highly scalable AWS micro-services utilizing cutting edge cloud technologies.
- Design and develop Big Data pipelines handling huge geospatial data.
- Bring clarity to large complex technical challenges.
- Collaborate with Engineering leadership to help drive technical strategy.
- Project scoping, planning and estimation.
- Mentor and coach team members at different levels of experience.
- Participate in peer code reviews and technical meetings.
- Cultivate a culture of engineering excellence.
- Seek, implement and adhere to standards, frameworks and best practices in the industry.
- Participate in on-call rotation.
You have:
- Bachelor’s/Master’s degree in computer science, computer engineering or relevant field.
- 5+ years of experience in software design, architecture and development.
- 5+ years of experience using object-oriented languages (Java, Python).
- Strong experience with Big Data technologies like Hadoop, Spark, Map Reduce, Kafka, etc.
- Strong experience in working with different AWS technologies.
- Excellent competencies in data structures & algorithms.
Nice to have:
- Proven track record of delivering large scale projects, and an ability to break down large tasks into smaller deliverable chunks
- Experience in developing high throughput low latency backend services
- Affinity to spatial data structures and algorithms.
- Familiarity with Postgres DB, Google Places or Mapbox APIs
What we offer
At GroundTruth, we want our employees to be comfortable with their benefits so they can focus on doing the work they love.
- Unlimited Paid Time Off
- In Office Daily Catered Lunch
- Fully stocked snacks/beverages
- 401(k) employer match
- Health coverage including medical, dental, vision and option for HSA or FSA
- Generous parental leave
- Company-wide DEIB Committee
- Inclusion Academy Seminars
- Wellness/Gym Reimbursement
- Pet Expense Reimbursement
- Company-wide Volunteer Day
- Education reimbursement program
- Cell phone reimbursement
- Equity Analysis to ensure fair pay
About CarWale: CarWale's mission is to bring delight in car buying, we offer a bouquet of reliable tools and services to help car consumers decide on buying the right car, at the right price and from the right partner. CarWale has always strived to serve car buyers and owners in the most comprehensive and convenient way possible. We provide a platform where car buyers and owners can research, buy, sell and come together to discuss and talk about their cars.We aim to empower Indian consumers to make informed car buying and ownership decisions with exhaustive and un-biased information on cars through our expert reviews, owner reviews, detailed specifications and comparisons. We understand that a car is by and large the second-most expensive asset a consumer associates his lifestyle with! Together with CarTrade & BikeWale, we are the market leaders in the personal mobility media space.About the Team:We are a bunch of enthusiastic analysts assisting all business functions with their data needs. We deal with huge but diverse datasets to find relationships, patterns and meaningful insights. Our goal is to help drive growth across the organization by creating a data-driven culture.
We are looking for an experienced Data Scientist who likes to explore opportunities and know their way around data to build world class solutions making a real impact on the business.
Skills / Requirements –
- 3-5 years of experience working on Data Science projects
- Experience doing statistical modelling of big data sets
- Expert in Python, R language with deep knowledge of ML packages
- Expert in fetching data from SQL
- Ability to present and explain data to management
- Knowledge of AWS would be beneficial
- Demonstrate Structural and Analytical thinking
- Ability to structure and execute data science project end to end
Education –
Bachelor’s degree in a quantitative field (Maths, Statistics, Computer Science). Masters will be preferred.
- Modeling complex problems, discovering insights, and identifying opportunities through the use of statistical, algorithmic, mining, and visualization techniques
- Experience working with business understanding the requirement, creating the problem statement, and building scalable and dependable Analytical solutions
- Must have hands-on and strong experience in Python
- Broad knowledge of fundamentals and state-of-the-art in NLP and machine learning
- Strong analytical & algorithm development skills
- Deep knowledge of techniques such as Linear Regression, gradient descent, Logistic Regression, Forecasting, Cluster analysis, Decision trees, Linear Optimization, Text Mining, etc
- Ability to collaborate across teams and strong interpersonal skills
Skills
- Sound theoretical knowledge in ML algorithm and their application
- Hands-on experience in statistical modeling tools such as R, Python, and SQL
- Hands-on experience in Machine learning/data science
- Strong knowledge of statistics
- Experience in advanced analytics / Statistical techniques – Regression, Decision trees, Ensemble machine learning algorithms, etc
- Experience in Natural Language Processing & Deep Learning techniques
- Pandas, NLTK, Scikit-learn, SpaCy, Tensorflow
Location: Bengaluru
Department: - Engineering
Bidgely is looking for extraordinary and dynamic Senior Data Analyst to be part of its core team in Bangalore. You must have delivered exceptionally high quality robust products dealing with large data. Be part of a highly energetic and innovative team that believes nothing is impossible with some creativity and hard work.
● Design and implement a high volume data analytics pipeline in Looker for Bidgely flagship product.
● Implement data pipeline in Bidgely Data Lake
● Collaborate with product management and engineering teams to elicit & understand their requirements & challenges and develop potential solutions
● Stay current with the latest tools, technology ideas and methodologies; share knowledge by clearly articulating results and ideas to key decision makers.
● 3-5 years of strong experience in data analytics and in developing data pipelines.
● Very good expertise in Looker
● Strong in data modeling, developing SQL queries and optimizing queries.
● Good knowledge of data warehouse (Amazon Redshift, BigQuery, Snowflake, Hive).
● Good understanding of Big data applications (Hadoop, Spark, Hive, Airflow, S3, Cloudera)
● Attention to details. Strong communication and collaboration skills.
● BS/MS in Computer Science or equivalent from premier institutes.
YOU'LL BE OUR : Data Scientist YOU'LL BE BASED AT: IBC Knowledge Park, Bangalore
YOU'LL BE ALIGNED WITH :Engineering Manager
YOU'LL BE A MEMBER OF : Data Intelligence
WHAT YOU'LL DO AT ATHER:
-
Work with the vehicle intelligence platform to evolve the algorithms and the platform enhancing ride experience.
-
Provide data driven solutions from simple to fairly complex insights on the data collected from the vehicle
-
Identify measures and metrics that could be used insightfully to make decisions across firmware components and productionize these.
-
Support the data science lead and manager and partner in fairly intensive projects around diagnostics, predictive modeling, BI and Engineering data sciences.
-
Build and automate scripts that could be re-used efficiently.
-
Build interactive reports/dashboards that could be re-used across engineering teams for their discussions/ explorations iteratively
-
Support monitoring, measuring the success of algorithms and features build and lead innovation through objective reasoning and thinking Engage with the data science lead and the engineering team stakeholders on the solution approach and draft a plan of action.
-
Contribute to product/team roadmap by generating and implementing innovative data and analysis based ideas as product features
-
Handhold/Guide team in successful conceptualization and implementation of key product differentiators through effective benchmarking.
HERE'S WHAT WE ARE LOOKING FOR :
• Good understanding of C++, Golang programming skills and system architecture understanding
• Experience with IOT, telemetry will be a plus
• Proficient in R markdown/ Python/ Grafana
• Proficient in SQL and No-SQL
• Proficient in R / Python programming
• Good understanding of ML techniques/ Sparks ML
YOU BRING TO ATHER:
• B.E/B.Tech preferably in Computer Science
• 3 to 5 yrs of work experience as Data Scientist
Machine Learning Engineer
WE ARE GRAPHENE
Graphene is an award-winning AI company, developing customized insights and data solutions for corporate clients. With a focus on healthcare, consumer goods and financial services, our proprietary AI platform is disrupting market research with an approach that allows us to get into the mind of customers to a degree unprecedented in traditional market research.
Graphene was founded by corporate leaders from Microsoft and P&G and works closely with the Singapore Government & universities in creating cutting edge technology. We are gaining traction with many Fortune 500 companies globally.
Graphene has a 6-year track record of delivering financially sustainable growth and is one of the few start-ups which are self-funded, yet profitable and debt free.
We already have a strong bench strength of leaders in place. Now, we are looking to groom more talents for our expansion into the US. Join us and take both our growths to the next level!
WHAT WILL THE ENGINEER-ML DO?
- Primary Purpose: As part of a highly productive and creative AI (NLP) analytics team, optimize algorithms/models for performance and scalability, engineer & implement machine learning algorithms into services and pipelines to be consumed at web-scale
- Daily Grind: Interface with data scientists, project managers, and the engineering team to achieve sprint goals on the product roadmap, and ensure healthy models, endpoints, CI/CD,
- Career Progression: Senior ML Engineer, ML Architect
YOU CAN EXPECT TO
- Work in a product-development team capable of independently authoring software products.
- Guide junior programmers, set up the architecture, and follow modular development approaches.
- Design and develop code which is well documented.
- Optimize of the application for maximum speed and scalability
- Adhere to the best Information security and Devops practices.
- Research and develop new approaches to problems.
- Design and implement schemas and databases with respect to the AI application
- Cross-pollinated with other teams.
HARD AND SOFT SKILLS
Must Have
- Problem-solving abilities
- Extremely strong programming background – data structures and algorithm
- Advanced Machine Learning: TensorFlow, Keras
- Python, spaCy, NLTK, Word2Vec, Graph databases, Knowledge-graph, BERT (derived models), Hyperparameter tuning
- Experience with OOPs and design patterns
- Exposure to RDBMS/NoSQL
- Test Driven Development Methodology
Good to Have
- Working in cloud-native environments (preferably Azure)
- Microservices
- Enterprise Design Patterns
- Microservices Architecture
- Distributed Systems
● Working hand in hand with application developers and data scientists to help build softwares that scales in terms of performance and stability Skills ● 3+ years of experience managing large scale data infrastructure and building data pipelines/ data products. ● Proficient in - Any data engineering technologies and proficient in AWS data engineering technologies is plus. ● Language - python, scala or go ● Experience in working with real time streaming systems Experience in handling millions of events per day Experience in developing and deploying data models on Cloud ● Bachelors/Masters in Computer Science or equivalent experience Ability to learn and use skills in new technologies
