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• Expert-level knowledge of developing Android based applications.
• Deep understanding of the internals of Android Frameworks.
• Good knowledge of OOPS concepts and JAVA.
• Familiarity with RESTful APIs to connect Android applications to back-end services.
• Experienced in building mobile applications that utilize web services.
• Experience with third-party libraries and APIs.
• Good knowledge of SQLlite database.
• Strong knowledge of Android UI design principles, patterns, and best practices
• Proficient understanding of code versioning tools, such as Git.

Role : Senior Customer Scientist 

Experience : 6-8 Years 

Location : Chennai (Hybrid) 
 
 

Who are we? 
 
 

A young, fast-growing AI and big data company, with an ambitious vision to simplify the world’s choices. Our clients are top-tier enterprises in the banking, e-commerce and travel spaces. They use our core AI-based choice engine http://maya.ai/">maya.ai, to deliver personal digital experiences centered around taste. The http://maya.ai/">maya.ai platform now touches over 125M customers globally. You’ll find Crayon Boxes in Chennai and Singapore. But you’ll find Crayons in every corner of the world. Especially where our client projects are – UAE, India, SE Asia and pretty soon the US. 
 
 

Life in the Crayon Box is a little chaotic, largely dynamic and keeps us on our toes! Crayons are a diverse and passionate bunch. Challenges excite us. Our mission drives us. And good food, caffeine (for the most part) and youthful energy fuel us. Over the last year alone, Crayon has seen a growth rate of 3x, and we believe this is just the start. 
 

 
We’re looking for young and young-at-heart professionals with a relentless drive to help Crayon double its growth. Leaders, doers, innovators, dreamers, implementers and eccentric visionaries, we have a place for you all. 
 

Can you say “Yes, I have!” to the below? 
 
 

1. Experience with exploratory analysis, statistical analysis, and model development 
    

1. Knowledge of advanced analytics techniques, including Predictive Modelling (Logistic regression), segmentation, forecasting, data mining, and optimizations 
    

1. Knowledge of software packages such as SAS, R, Rapidminer for analytical modelling and data management. 
    

1. Strong experience in SQL/ Python/R working efficiently at scale with large data sets 
    

1. Experience in using Business Intelligence tools such as PowerBI, Tableau, Metabase for business applications 
    

Can you say “Yes, I will!” to the below? 
 
 

1. Drive clarity and solve ambiguous, challenging business problems using data-driven approaches. Propose and own data analysis (including modelling, coding, analytics) to drive business insight and facilitate decisions. 
    

1. Develop creative solutions and build prototypes to business problems using algorithms based on machine learning, statistics, and optimisation, and work with engineering to deploy those algorithms and create impact in production. 
    

1. Perform time-series analyses, hypothesis testing, and causal analyses to statistically assess the relative impact and extract trends 
    

1. Coordinate individual teams to fulfil client requirements and manage deliverable 
    

1. Communicate and present complex concepts to business audiences 
    

1. Travel to client locations when necessary  

Crayon is an equal opportunity employer. Employment is based on a person's merit and qualifications and professional competences. Crayon does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, marital status, pregnancy or related.  
 
 

More about Crayon: https://www.crayondata.com/">https://www.crayondata.com/  
 

More about http://maya.ai/">maya.ai: https://maya.ai/">https://maya.ai/  

 Location: Bangalore, Pune, Noida, Hyderabad and Chennai

Experience: -10- 16 Years

Notice period: immediate Joiner.

Job Description :

1)SAP FI Consultant Chartered Accountant or MBA from premier institutions.

2)Knowledge of IAS/US GAAP/IFRS preferred8- 10 years of relevant SAP Experience.

3)Should have worked on at least 3 end to end implementations or 2 end to end implementations and 1 roll out projects Relevant domain experience and in his domain he should have worked in finance function in a manufacturing vertical Good knowledge in SAP Financial and Managerial Accounting solution.

4)Working experience in New GL, AP, AR, AA, CCA, PCA, Product Costing and COPA Experience in supporting Accounting: Month-End-Closing and Year-End-Closing Strong understanding of integration with other modules controlling, Cash Management and/or Project System Deliver of New Business Request/ Change Request with good quality, the defined timeline and the defined budget.

5)Experience of IDOC ,Interfaces ,LSMW, BAPI ,workflow knowledge & Analyse clients business needs & opportunity to propose the matching solution to client Good verbal and written communication skills.

6)Poses consultancy, problem solving and analytical skills Strong client facing Demonstrate the ability to plan, run, and manage and sustain the operation support service delivery according to agreed SLA with quality and customer satisfaction by following ITSMSAP Certification in Financials desirable Leading the team(s) they are assigned to, in functional capacity, adding value to the project and to the final deliverables Ready to travel for assignments (short term and long term)Minimum 4 Global project experience is must

Mandatory skills -  SAP FI

Must Haves:

• .Net Core/ MVC
• C#
• SQL
• Web API
• Bootstrap, CSS3, JavaScript

Requirements:

• 5 + Years – 6+ Years of Coding & Development Expertise in ASP.Net / .Net Core & C#.
• Should be able to interpret the FSD and translate into Coding Logic.
• Should have good exposure to using web-based technologies (ASP.NET, JavaScript, CSS3, Web API, Bootstrap).
• Hands on Experience on Relational database like SQL is a must knowledge on Database Linking is very important including understanding Processing Logic.
• Experience in developing enterprise grade software with MVC, MVVM or MVP would be a Plus.

We are looking for an outstanding ML Architect (Deployments) with expertise in deploying Machine Learning solutions/models into production and scaling them to serve millions of customers. A candidate with an adaptable and productive working style which fits in a fast-moving environment.

Skills:

- 5+ years deploying Machine Learning pipelines in large enterprise production systems.

- Experience developing end to end ML solutions from business hypothesis to deployment / understanding the entirety of the ML development life cycle.
- Expert in modern software development practices; solid experience using source control management (CI/CD).
- Proficient in designing relevant architecture / microservices to fulfil application integration, model monitoring, training / re-training, model management, model deployment, model experimentation/development, alert mechanisms.
- Experience with public cloud platforms (Azure, AWS, GCP).
- Serverless services like lambda, azure functions, and/or cloud functions.
- Orchestration services like data factory, data pipeline, and/or data flow.
- Data science workbench/managed services like azure machine learning, sagemaker, and/or AI platform.
- Data warehouse services like snowflake, redshift, bigquery, azure sql dw, AWS Redshift.
- Distributed computing services like Pyspark, EMR, Databricks.
- Data storage services like cloud storage, S3, blob, S3 Glacier.
- Data visualization tools like Power BI, Tableau, Quicksight, and/or Qlik.
- Proven experience serving up predictive algorithms and analytics through batch and real-time APIs.
- Solid working experience with software engineers, data scientists, product owners, business analysts, project managers, and business stakeholders to design the holistic solution.
- Strong technical acumen around automated testing.
- Extensive background in statistical analysis and modeling (distributions, hypothesis testing, probability theory, etc.)
- Strong hands-on experience with statistical packages and ML libraries (e.g., Python scikit learn, Spark MLlib, etc.)
- Experience in effective data exploration and visualization (e.g., Excel, Power BI, Tableau, Qlik, etc.)
- Experience in developing and debugging in one or more of the languages Java, Python.
- Ability to work in cross functional teams.
- Apply Machine Learning techniques in production including, but not limited to, neuralnets, regression, decision trees, random forests, ensembles, SVM, Bayesian models, K-Means, etc.

Roles and Responsibilities:

Deploying ML models into production, and scaling them to serve millions of customers.

Technical solutioning skills with deep understanding of technical API integrations, AI / Data Science, BigData and public cloud architectures / deployments in a SaaS environment.

Strong stakeholder relationship management skills - able to influence and manage the expectations of senior executives.
Strong networking skills with the ability to build and maintain strong relationships with both business, operations and technology teams internally and externally.

Provide software design and programming support to projects.

 Qualifications & Experience:

Engineering and post graduate candidates, preferably in Computer Science, from premier institutions with proven work experience as a Machine Learning Architect (Deployments) or a similar role for 5-7 years.

We at Perilwise are building the digital infrastructure for the insurance industry. We're looking for a tech lead, someone who can lead the dev team, and take over the day to day activities of the tech lead from the founders.

We are building a revolutionary insurtech platform offering to the entire market(intermediaries, clients, and later insurers)

We're an exciting early stage startup growing fast, and are looking to build cutting edge products across the insurance value chain.

Experience levels: 4+ years. Previous leadership experience preferred but not necessary. These are guidelines, what’s most important for us is the candidate fit.