Artificial Intelligence Developers

Carsome’s Data Department is on the lookout for a Data Scientist/Senior Data Scientist 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. 

Greetings,

We are looking out for a Snowflake developer for one of our premium clients for their PAN India loaction

About the role:
We are looking for a motivated data analyst with sound experience in handling web/ digital analytics, to join us as part of the Kapiva D2C Business Team. This team is primarily responsible for driving sales and customer engagement on our website. This channel has grown 5x in revenue over the last 12 months and is poised to grow another 5x over the next six. It represents a high-growth, important part of our overall e-commerce growth strategy.
The mandate here is to run an end-to-end sustainable e-commerce business, boost sales through marketing campaigns, and build a cutting edge product (website) that optimizes the customer’s journey as well as increases customer lifetime value.
The Data Analyst will support the business heads by providing data-backed insights in order to drive customer growth, retention and engagement. They will be required to set-up and manage reports, test various hypotheses and coordinate with various stakeholders on a day-to-day basis.


Job Responsibilities:
Strategy and planning:
● Work with the D2C functional leads and support analytics planning on a quarterly/ annual basis
● Identify reports and analytics needed to be conducted on a daily/ weekly/ monthly frequency
● Drive planning for hypothesis-led testing of key metrics across the customer funnel
Analytics:
● Interpret data, analyze results using statistical techniques and provide ongoing reports
● Analyze large amounts of information to discover trends and patterns
● Work with business teams to prioritize business and information needs
● Collaborate with engineering and product development teams to setup data infrastructure as needed

Reporting and communication:
● Prepare reports / presentations to present actionable insights that can drive business objectives
● Setup live dashboards reporting key cross-functional metrics
● Coordinate with various stakeholders to collect useful and required data
● Present findings to business stakeholders to drive action across the organization
● Propose solutions and strategies to business challenges

Requirements sought:
Must haves:
● Bachelor’s/ Masters in Mathematics, Economics, Computer Science, Information Management, Statistics or related field
● High proficiency in MS Excel and SQL
● Knowledge of one or more programming languages like Python/ R. Adept at queries, report writing and presenting findings
● Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy - working knowledge of statistics and statistical methods
● Ability to work in a highly dynamic environment across cross-functional teams; good at
coordinating with different departments and managing timelines
● Exceptional English written/verbal communication
● A penchant for understanding consumer traits and behavior and a keen eye to detail

Good to have:
● Hands-on experience with one or more web analytics tools like Google Analytics, Mixpanel, Kissmetrics, Heap, Adobe Analytics, etc.
● Experience in using business intelligence tools like Metabase, Tableau, Power BI is a plus
● Experience in developing predictive models and machine learning algorithms

Job Responsibilities:

• Project Planning and Management
o Take end-to-end ownership of multiple projects / project tracks
o Create and maintain project plans and other related documentation for project
objectives, scope, schedule and delivery milestones
o Lead and participate across all the phases of software engineering, right from
requirements gathering to GO LIVE
o Lead internal team meetings on solution architecture, effort estimation, manpower
planning and resource (software/hardware/licensing) planning
o Manage RIDA (Risks, Impediments, Dependencies, Assumptions) for projects by
developing effective mitigation plans
• Team Management
o Act as the Scrum Master
o Conduct SCRUM ceremonies like Sprint Planning, Daily Standup, Sprint Retrospective
o Set clear objectives for the project and roles/responsibilities for each team member
o Train and mentor the team on their job responsibilities and SCRUM principles
o Make the team accountable for their tasks and help the team in achieving them
o Identify the requirements and come up with a plan for Skill Development for all team
members
• Communication
o Be the Single Point of Contact for the client in terms of day-to-day communication
o Periodically communicate project status to all the stakeholders (internal/external)
• Process Management and Improvement
o Create and document processes across all disciplines of software engineering
o Identify gaps and continuously improve processes within the team
o Encourage team members to contribute towards process improvement
o Develop a culture of quality and efficiency within the team

Must have:
• Minimum 08 years of experience (hands-on as well as leadership) in software / data engineering
across multiple job functions like Business Analysis, Development, Solutioning, QA, DevOps and
Project Management
• Hands-on as well as leadership experience in Big Data Engineering projects
• Experience developing or managing cloud solutions using Azure or other cloud provider
• Demonstrable knowledge on Hadoop, Hive, Spark, NoSQL DBs, SQL, Data Warehousing, ETL/ELT,
DevOps tools
• Strong project management and communication skills
• Strong analytical and problem-solving skills
• Strong systems level critical thinking skills
• Strong collaboration and influencing skills

Good to have:
• Knowledge on PySpark, Azure Data Factory, Azure Data Lake Storage, Synapse Dedicated SQL
Pool, Databricks, PowerBI, Machine Learning, Cloud Infrastructure
• Background in BFSI with focus on core banking
• Willingness to travel

Work Environment
• Customer Office (Mumbai) / Remote Work

Education
• UG: B. Tech - Computers / B. E. – Computers / BCA / B.Sc. Computer Science

Hiring for Machine Learning Deep Learning, who have build solutions for computer vision ,nlp, Tensorflow, Pytorch, Tensorflow Lite for Android phone 

1. Proven experience with deploying and tuning Open Source components into enterprise ready production tooling Experience with datacentre (Metal as a Service – MAAS) and cloud deployment technologies (AWS or GCP Architect certificates required)
2. Deep understanding of Linux from kernel mechanisms through user space management
3. Experience on CI/CD (Continuous Integrations and Deployment) system solutions (Jenkins).
4. Using Monitoring tools (local and on public cloud platforms) Nagios, Prometheus, Sensu, ELK, Cloud Watch, Splunk, New Relic etc. to trigger instant alerts, reports and dashboards.  Work closely with the development and infrastructure teams to analyze and design solutions with four nines (99.99%) up-time, globally distributed, clustered, production and non-production virtualized infrastructure. 
5. Wide understanding of IP networking as well as data centre infrastructure

1. Expert with software development tools and sourcecode management, understanding, managing issues, code changes and grouping them into deployment releases in a stable and measurable way to maximize production Must be expert at developing and using ansible roles and configuring deployment templates with jinja2.
2. Solid understanding of data collection tools like Flume, Filebeat, Metricbeat, JMX Exporter agents.
3. Extensive experience operating and tuning the kafka streaming data platform, specifically as a message queue for big data processing
4. Strong understanding and must have experience:
5. Apache spark framework, specifically spark core and spark streaming, 
6. Orchestration platforms, mesos and kubernetes, 
7. Data storage platforms, elasticstack, carbon, clickhouse, cassandra, ceph, hdfs
8. Core presentation technologies kibana, and grafana.
9. Excellent scripting and programming skills (bash, python, java, go, rust). Must have previous experience with “rust” in order to support, improve in house developed products

Red Hat Certified Architect certificate or equivalent required CCNA certificate required 3-5 years of experience running open source big data platforms

The person holding this position is responsible for leading the solution development and implementing advanced analytical approaches across a variety of industries in the supply chain domain.

At this position you act as an interface between the delivery team and the supply chain team, effectively understanding the client business and supply chain.

Candidates will be expected to lead projects across several areas such as

• Demand forecasting
• Inventory management
• Simulation & Mathematical optimization models.
• Procurement analytics
• Distribution/Logistics planning
• Network planning and optimization

 

Qualification and Experience

• 4+ years of analytics experience in supply chain – preferable industries hi-tech, consumer technology, CPG, automobile, retail or e-commerce supply chain.
• Master in Statistics/Economics or MBA or M. Sc./M. Tech with Operations Research/Industrial Engineering/Supply Chain
• Hands-on experience in delivery of projects using statistical modelling

Skills / Knowledge

• Hands on experience in statistical modelling software such as R/ Python and SQL.
• Experience in advanced analytics / Statistical techniques – Regression, Decision tress, Ensemble machine learning algorithms etc. will be considered as an added advantage.
• Highly proficient with Excel, PowerPoint and Word applications.
• APICS-CSCP or PMP certification will be added advantage
• Strong knowledge of supply chain management
• Working knowledge on the linear/nonlinear optimization
• Ability to structure problems through a data driven decision-making process.
• Excellent project management skills, including time and risk management and project structuring.
• Ability to identify and draw on leading-edge analytical tools and techniques to develop creative approaches and new insights to business issues through data analysis.
• Ability to liaison effectively with multiple stakeholders and functional disciplines.
• Experience in Optimization tools like Cplex, ILOG, GAMS will be an added advantage.

Responsibility: • Studied Computer Science, • 5+ years of software development experience, • Must have experience in Elasticsearch (2+ years experience is preferable), • Skills in Java, Python or Scala, • Passionate about learning big data, data mining and data analysis technologies, • Self-motivated; independent, organized and proactive; highly responsive, flexible, and adaptable when working across multiple teams, • Strong SQL skills, including query optimization are required. • Experience working with large, complex datasets is required, • Experience with recommendation systems and data warehouse technologies are preferred, • You possess an intense curiosity about data and a strong commitment to practical problem-solving, • Creative in thinking data centric products which will be used in online customer behaviors and marketing, • Build systems to pull meaningful insights from our data platform, • Integrate our analytics platform internally across products and teams, • Focus on performance, throughput, latency and drive these throughout our architecture. Bonuses -Experience with big data architectures such as Lambda Architecture. -Experience working with big data technologies (like Hadoop, Java Map/Reduce, Hive, Spark SQL), real-time processing frameworks (like Spark Streaming, Storm, AWS Kinesis). -Proficiency in key-value stores such as : HBase/Cassandra, Redis, Riak and MongoDB -Experience with AWS EMR

About us: Quantiphi is a category defining Data Science and Machine Learning Software and Services Company focused on helping organizations translate the big promise of Big Data & Machine Learning technologies into quantifiable business impact. We were founded on the belief that machine learning and artificial intelligence are transformative technologies that will create the next quantum gain in customer experience and unit economics of businesses. Quantiphi helps clients find and capture hidden value from data through a unique blend of business acumen, big-data, machine learning and intuitive information design. AthenasOwl (AO) is our “AI for Media” solution that helps content creators and broadcasters to create and curate smarter content. We launched the product in 2017 as an AI-powered suite meant for the media and entertainment industry. Clients use AthenaOwl's context adapted technology for redesigning content, taking better targeting decisions, automating hours of post-production work and monetizing massive content libraries. Please Find Attached fact sheet for your reference. For more details visit: www.quantiphi.com ; www.athenasowl.tv Job Description: -Developing high-level solution architecture related to different use-cases in the media industry -Leveraging both structured and unstructured data from external sources and our proprietary AI/ML models to build solutions and workflows that can be used to give data driven insights. -Develop sophisticated yet easy to digest interpretations and communicate insights to clients that lead to quantifiable business impact. -Building deep relationship with clients by understanding their stated but more importantly, latent needs. -Working closely with the client-side delivery managers to ensure a seamless communication and delivery cadence. Essential Skills and Qualifications: -Hands-on experience with statistical tools and techniques in Python -Great analytical skills, with expertise in analytical toolkits such as Logistic Regression, Cluster Analysis, Factor Analysis, Multivariate Regression, Statistical modelling, predictive analysis. -Advanced knowledge of supervised and unsupervised machine learning algorithms like Random Forest, Boosting, SVM, Neural Networks, Collaborative filtering etc. -Ability to think creatively and work well both as part of a team and as an individual contributor -Critical eye for the quality of data and strong desire to get it right -Strong communication skills. -Should be able to read a paper and quickly implement ideas from scratch. -A pleasantly forceful personality and charismatic communication style.