11+ Microsoft Dynamics AX Jobs in Delhi, NCR and Gurgaon | Microsoft Dynamics AX Job openings in Delhi, NCR and Gurgaon
Apply to 11+ Microsoft Dynamics AX Jobs in Delhi, NCR and Gurgaon on CutShort.io. Explore the latest Microsoft Dynamics AX Job opportunities across top companies like Google, Amazon & Adobe.
1. Minimum 4-9 years of customization and implementation of Microsoft Dynamics CRM
2. CRM development experience:
3. Plug-in development
4. Custom workflow assembly development
5. Data migration and integration using Dynamics CRM tools.
6. Using web resources to communicate with MS CRM services
7. CRM form programming (Java scripting, Ribbon Customization)
8. Custom page integration (embedding custom ASP.NET pages into CRM and using JavaScript to integrate with CRM forms)
9. Generating Reports using SSRS
10. C#, .NET, JavaScript
11. CRM SDK and exposure to Web services.
12. Should have worked on Dynamics CRM on Premise and Dynamics CRM Online version
13. Should have experience in Integrating Dynamics CRM with ERP like D365 AX or D365 F n O, as well as other applications using Web services
Skills and Attributes-
1. Should be ready to work as a Solution architect for big implementations
2. Communication and Writing skills.
3. Should be able to work as a team lead/ technical lead, mentoring developer and solving their technical issues.
4. Should be ready to travel onsite as needed.
Qualification-
B tech
PythonWe are looking out for a Snowflake developer for one of our premium clients for their PAN India loaction
Experience – 3 – 12 yrs
Budget - Open
Location - PAN India (Noida/Bangaluru/Hyderabad/Chennai)
Presto Developer (4)
Understanding of distributed SQL query engine running on Hadoop
Design and develop core components for Presto
Contribute to the ongoing Presto development by implementing new features, bug fixes, and other improvements
Develop new and extend existing Presto connectors to various data sources
Lead complex and technically challenging projects from concept to completion
Write tests and contribute to ongoing automation infrastructure development
Run and analyze software performance metrics
Collaborate with teams globally across multiple time zones and operate in an Agile development environment
Hands-on experience and interest with Hadoop
Data AnalyticsSupporting today’s data driven business world, our client acts as a full-stack data intelligence platform which leverages granular and deep data from various sources, thus helping the decision-makers at the executive level. Their solutions include supply chain optimization, building footprints, track construction hotspots, real estate, and lots more.
Their work embeds geospatial analytics, location intelligence and predictive modelling in the foundations of economic modelling and evaluation theory to build data intelligence layers for their clients which include governments, multilateral institutions, and private organizations.
Headquartered in New Delhi, our client works as a team of economists, data scientists, geo-spatial analysts, etc. Their decision-support system includes Big-Data, predictive modeling, forecasting, socio economic dataset and many more.
As a Senior Manager– Data Intelligence, you will be responsible for contributing to all stages of projects– conceptualizing, preparing work plans, overseeing analytical work, driving teams to meet targets and ensuring quality standards.
What you will do:
- Thoroughly understanding the data processing pipeline and troubleshooting/problem-solving the technical team
- Acting as SPOC for client communications across the portfolio of projects undertaken by the organization
- Contributing to different aspects of organizational growth– team building, process building, strategy and business development
Desired Candidate Profile
What you need to have:- Post-graduate degree in relevant subjects such as Economics/ Engineering/ Quantitative Social Sciences/ Management etc
- At least 5 years of relevant work experience
- Vast experience in managing multiple client projects
- Strong data/quantitative analysis skills are a must
- Prior experience working in data analytics teams
- Credible experience of data platforms & languages in the past
Data Science
Deep Learning
R ProgrammingPythonData Scientist
Requirements
● B.Tech/Masters in Mathematics, Statistics, Computer Science or another
quantitative field
● 2-3+ years of work experience in ML domain ( 2-5 years experience )
● Hands-on coding experience in Python
● Experience in machine learning techniques such as Regression, Classification,
Predictive modeling, Clustering, Deep Learning stack, NLP
● Working knowledge of Tensorflow/PyTorch
Optional Add-ons-
● Experience with distributed computing frameworks: Map/Reduce, Hadoop, Spark
etc.
● Experience with databases: MongoDB
Data Science
Machine Learning (ML)Job Description
We are looking for a highly capable machine learning engineer to optimize our deep learning systems. You will be evaluating existing deep learning (DL) processes, do hyperparameter tuning, performing statistical analysis (logging and evaluating model’s performance) to resolve data set problems, and enhancing the accuracy of our AI software's predictive automation capabilities.
You will be working with technologies like AWS Sagemaker, TensorFlow JS, TensorFlow/ Keras/TensorBoard to create Deep Learning backends that powers our application.
To ensure success as a machine learning engineer, you should demonstrate solid data science knowledge and experience in Deep Learning role. A first-class machine learning engineer will be someone whose expertise translates into the enhanced performance of predictive automation software. To do this job successfully, you need exceptional skills in DL and programming.
Responsibilities
-
Consulting with managers to determine and refine machine learning objectives.
-
Designing deep learning systems and self-running artificial intelligence (AI) software to
automate predictive models.
-
Transforming data science prototypes and applying appropriate ML algorithms and
tools.
-
Carry out data engineering subtasks such as defining data requirements, collecting,
labeling, inspecting, cleaning, augmenting, and moving data.
-
Carry out modeling subtasks such as training deep learning models, defining
evaluation metrics, searching hyperparameters, and reading research papers.
-
Carry out deployment subtasks such as converting prototyped code into production
code, working in-depth with AWS services to set up cloud environment for training,
improving response times and saving bandwidth.
-
Ensuring that algorithms generate robust and accurate results.
-
Running tests, performing analysis, and interpreting test results.
-
Documenting machine learning processes.
-
Keeping abreast of developments in machine learning.
Requirements
-
Proven experience as a Machine Learning Engineer or similar role.
-
Should have indepth knowledge of AWS Sagemaker and related services (like S3).
-
Extensive knowledge of ML frameworks, libraries, algorithms, data structures, data
modeling, software architecture, and math & statistics.
-
Ability to write robust code in Python & Javascript (TensorFlow JS).
-
Experience with Git and Github.
-
Superb analytical and problem-solving abilities.
-
Excellent troubleshooting skills.
-
Good project management skills.
-
Great communication and collaboration skills.
-
Excellent time management and organizational abilities.
-
Bachelor's degree in computer science, data science, mathematics, or a related field;
Master’s degree is a plus.
Data AnalyticsWhat you will do:
- Bringing data to life via Historical and Real Time Dashboard like:
2. Transaction behavior analytics
3. User level analytics
4. Propensity models and personalization models, eg whats the best product or offer to drive a sale
5. Emails/ SMS/ AN – analytics models getting data from platforms like Netcore+ Branch+ Internal Tables
6. Other reports that are relevant to know what is working, gaps, etc
- Monitoring key metrics such as commission, gross margin, conversion, customer acquisitions etc
- Using the data models and reports to draw actionable and meaningful insights. Based on the insights helping drive the strategy, optimization opportunities, product improvement and more
- Demonstrating examples where data interpretation led to improvement in core business outcomes like better conversion, better ROI from Ad spends, improvements in product etc.
- Digging into data to identify opportunities or problems and translating them into easy-to-understand way for all key business teams
- Working closely with various business stakeholders: Marketing, Customer Insights, Growth and Product teams
- Ensuring effective and timely delivery of reports and insights that analyze business functions and key operations and performance metrics
What you need to have:
- Minimum 2 years of data analytics and interpretation experience
- Proven experience to show how data analytics shaped strategy, marketing and product. Should have multiple examples of this based on current and past experience
- Strong Data Engineering skills using tools like SQL, Python, Tableau, Power BI, Advanced Excel, PowerQuery etc
- Strong marketing acumen to be able to translate data into marketing outcomes
- Good understanding of Google Analytics, Google AdWords, Facebook Ads, CleverTap and other analytics tools
- Familiarity with data sources like Branch/ Clevertap / Firebase, Big Query, Internal Tables (User/ Click/ Transaction/ Events etc)
Deep LearningPythonWho Are We
A research-oriented company with expertise in computer vision and artificial intelligence, at its core, Orbo is a comprehensive platform of AI-based visual enhancement stack. This way, companies can find a suitable product as per their need where deep learning powered technology can automatically improve their Imagery.
ORBO's solutions are helping BFSI, beauty and personal care digital transformation and Ecommerce image retouching industries in multiple ways.
WHY US
- Join top AI company
- Grow with your best companions
- Continuous pursuit of excellence, equality, respect
- Competitive compensation and benefits
You'll be a part of the core team and will be working directly with the founders in building and iterating upon the core products that make cameras intelligent and images more informative.
To learn more about how we work, please check out
Description:
We are looking for a computer vision engineer to lead our team in developing a factory floor analytics SaaS product. This would be a fast-paced role and the person will get an opportunity to develop an industrial grade solution from concept to deployment.
Responsibilities:
- Research and develop computer vision solutions for industries (BFSI, Beauty and personal care, E-commerce, Defence etc.)
- Lead a team of ML engineers in developing an industrial AI product from scratch
- Setup end-end Deep Learning pipeline for data ingestion, preparation, model training, validation and deployment
- Tune the models to achieve high accuracy rates and minimum latency
- Deploying developed computer vision models on edge devices after optimization to meet customer requirements
Requirements:
- Bachelor’s degree
- Understanding about depth and breadth of computer vision and deep learning algorithms.
- 4+ years of industrial experience in computer vision and/or deep learning
- Experience in taking an AI product from scratch to commercial deployment.
- Experience in Image enhancement, object detection, image segmentation, image classification algorithms
- Experience in deployment with OpenVINO, ONNXruntime and TensorRT
- Experience in deploying computer vision solutions on edge devices such as Intel Movidius and Nvidia Jetson
- Experience with any machine/deep learning frameworks like Tensorflow, and PyTorch.
- Proficient understanding of code versioning tools, such as Git
Our perfect candidate is someone that:
- is proactive and an independent problem solver
- is a constant learner. We are a fast growing start-up. We want you to grow with us!
- is a team player and good communicator
What We Offer:
- You will have fun working with a fast-paced team on a product that can impact the business model of E-commerce and BFSI industries. As the team is small, you will easily be able to see a direct impact of what you build on our customers (Trust us - it is extremely fulfilling!)
- You will be in charge of what you build and be an integral part of the product development process
- Technical and financial growth!
Data ScienceMust have experience on e-commerce projects
Python- Experience of providing technical leadership in the Big Data space (Hadoop Stack like Spark, M/R, HDFS, Pig, Hive, HBase, Flume, Sqoop, etc. Should have contributed to open source Big Data technologies.
- Expert-level proficiency in Python
- Experience in visualizing and evangelizing next-generation infrastructure in Big Data space (Batch, Near Real-time, Real-time technologies).
- Passionate for continuous learning, experimenting, applying, and contributing towards cutting edge open source technologies and software paradigms
- Strong understanding and experience in distributed computing frameworks, particularly Apache Hadoop 2.0 (YARN; MR & HDFS) and associated technologies.
- Hands-on experience with Apache Spark and its components (Streaming, SQL, MLLib)
Operating knowledge of cloud computing platforms (AWS, especially EMR, EC2, S3, SWF services, and the AWS CLI) - Experience working within a Linux computing environment, and use of command-line tools including knowledge of shell/Python scripting for automating common tasks
Job Title: Power BI Developer(Onsite)
Location: Park Centra, Sec 30, Gurgaon
CTC: 8 LPA
Time: 1:00 PM - 10:00 PM
Must Have Skills:
- Power BI Desktop Software
- Dax Queries
- Data modeling
- Row-level security
- Visualizations
- Data Transformations and filtering
- SSAS and SQL
Job description:
We are looking for a PBI Analytics Lead responsible for efficient Data Visualization/ DAX Queries and Data Modeling. The candidate will work on creating complex Power BI reports. He will be involved in creating complex M, Dax Queries and working on data modeling, Row-level security, Visualizations, Data Transformations, and filtering. He will be closely working with the client team to provide solutions and suggestions on Power BI.
Roles and Responsibilities:
- Accurate, intuitive, and aesthetic Visual Display of Quantitative Information: We generate data, information, and insights through our business, product, brand, research, and talent teams. You would assist in transforming this data into visualizations that represent easy-to-consume visual summaries, dashboards and storyboards. Every graph tells a story.
- Understanding Data: You would be performing and documenting data analysis, data validation, and data mapping/design. You would be mining large datasets to determine its characteristics and select appropriate visualizations.
- Project Owner: You would develop, maintain, and manage advanced reporting, analytics, dashboards and other BI solutions, and would be continuously reviewing and improving existing systems and collaborating with teams to integrate new systems. You would also contribute to the overall data analytics strategy by knowledge sharing and mentoring end users.
- Perform ongoing maintenance & production of Management dashboards, data flows, and automated reporting.
- Manage upstream and downstream impact of all changes on automated reporting/dashboards
- Independently apply problem-solving ability to identify meaningful insights to business
- Identify automation opportunities and work with a wide range of stakeholders to implement the same.
- The ability and self-confidence to work independently and increase the scope of the service line
Requirements:
- 3+ years of work experience as an Analytics Lead / Senior Analyst / Sr. PBI Developer.
- Sound understanding and knowledge of PBI Visualization and Data Modeling with DAX queries
- Experience in leading and mentoring a small team.
Follow Cutshort