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- Manages the delivery of large, complex Data Science projects using appropriate frameworks and collaborating with stake holders to manage scope and risk. Help the AI/ML Solution
- Analyst to build solution as per customer need on our platform Newgen AI Cloud. Drives profitability and continued success by managing service quality and cost and leading delivery. Proactively support sales through innovative solutions and delivery excellence.
Work location: Gurugram
Key Responsibilities:
1 Collaborate/contribute to all project phases, technical know to design, develop solutions and deploy at customer end.
2 End-to-end implementations i.e. gathering requirements, analysing, designing, coding, deployment to Production
3 Client facing role talking to client on regular basis to get requirement clarification
4. Lead the team
Core Tech Skills: Azure, Cloud Computing, Java/Scala, Python, Design Patterns and fair knowledge of Data Science. Fair Knowledge of Data Lake/DWH
Educational Qualification: Engineering graduate preferably Computer since graduate
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About Number Theory
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- 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
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About antuit.ai
Antuit.ai is the leader in AI-powered SaaS solutions for Demand Forecasting & Planning, Merchandising and Pricing. We have the industry’s first solution portfolio – powered by Artificial Intelligence and Machine Learning – that can help you digitally transform your Forecasting, Assortment, Pricing, and Personalization solutions. World-class retailers and consumer goods manufacturers leverage antuit.ai solutions, at scale, to drive outsized business results globally with higher sales, margin and sell-through.
Antuit.ai’s executives, comprised of industry leaders from McKinsey, Accenture, IBM, and SAS, and our team of Ph.Ds., data scientists, technologists, and domain experts, are passionate about delivering real value to our clients. Antuit.ai is funded by Goldman Sachs and Zodius Capital.
The Role:
Antuit is looking for a Data / Sr. Data Scientist who has the knowledge and experience in developing machine learning algorithms, particularly in supply chain and forecasting domain with data science toolkits like Python.
In this role, you will design the approach, develop and test machine learning algorithms, implement the solution. The candidate should have excellent communication skills and be results driven with a customer centric approach to problem solving. Experience working in the demand forecasting or supply chain domain is a plus. This job also requires the ability to operate in a multi-geographic delivery environment and a good understanding of cross-cultural sensitivities.
Responsibilities:
Responsibilities includes, but are not limited to the following:
- Design, build, test, and implement predictive Machine Learning models.
- Collaborate with client to align business requirements with data science systems and process solutions that ensure client’s overall objectives are met.
- Create meaningful presentations and analysis that tell a “story” focused on insights, to communicate the results/ideas to key decision makers.
- Collaborate cross-functionally with domain experts to identify gaps and structural problems.
- Contribute to standard business processes and practices as part of a community of practise.
- Be the subject matter expert across multiple work streams and clients.
- Mentor and coach team members.
- Set a clear vision for the team members and working cohesively to attain it.
Qualifications and Skills:
Requirements
- Experience / Education:
- Master’s or Ph.D. in Computer Science, Computer Engineering, Electrical Engineering, Statistics, Applied Mathematics or other related
- 5+ years’ experience working in applied machine learning or relevant research experience for recent Ph.D. graduates.
- Highly technical:
- Skilled in machine learning, problem-solving, pattern recognition and predictive modeling with expertise in PySpark and Python.
- Understanding of data structures and data modeling.
- Effective communication and presentation skills
- Able to collaborate closely and effectively with teams.
- Experience in time series forecasting is preferred.
- Experience working in start-up type environment preferred.
- Experience in CPG and/or Retail preferred.
- Effective communication and presentation skills.
- Strong management track record.
- Strong inter-personal skills and leadership qualities.
Information Security Responsibilities
- Understand and adhere to Information Security policies, guidelines and procedure, practice them for protection of organizational data and Information System.
- Take part in Information Security training and act accordingly while handling information.
- Report all suspected security and policy breach to Infosec team or appropriate authority (CISO).
EEOC
Antuit.ai is an at-will, equal opportunity employer. We consider applicants for all positions without regard to race, color, religion, national origin or ancestry, gender identity, sex, age (40+), marital status, disability, veteran status, or any other legally protected status under local, state, or federal law.
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As a part of WWS, your expertise in machine learning helps us extract value from our data. You will lead all the processes from data collection, cleaning, and preprocessing, to training models and situating them to production. The ideal candidate will be passionate about artificial intelligence and stay up-to-date with the latest developments in the field.
What We Expect
- A Bachelor's/Master's degree in IT, computer science, or an advanced related field is preferred.
- At least 3+ years of experience working with ML libraries and packages.
- Familiarity with coding and programming languages, including Python, Java, C++, and SAS.
- Strong experience in programming and statistics.
- Well-versed in Data Science and neural schematics in networking and software.
- Flexibility in shifts is appreciated.
A Full Stack Developer’s Ideal Day At WWS
Design and Develop. The primary protocols include implementing machine learning algorithms and running AI systems experiments and tests. The Designing and development of machine learning systems along with performing statistical analyses falls under day to day activities of the developer.
Algorithm Assertion. The engineers act as critical members of the data science team as their tasks involve researching, asserting, and designing the artificial intelligence responsible for machine learning and maintaining and improving existing artificial intelligence systems.
Research and Development. To analyze large, complex datasets and extract insights and decide on the appropriate technique. research and implement best practices to improve the existing machine learning infrastructure. At most providing support to engineers and product managers in implementing machine learning as the product.
What You Can Expect
- Full-time, salaried positions creamed with welfare programs.
- Competitive salary and tailored training in the core space with recognition potential and annual bonus.
- Periodic performance appraisals.
- Attendance Incentives.
- Working with the best and budding talent in the industry.
- A conducive intangible environment with dynamic benefits.
Why Consider Machine Learning Engineer as a career with WWS?
With a very appealing work environment at WWS, our setting made it easier to build relationships with other staff members and clients. You may also have an opportunity to learn other aspects of environmental office work on the job, which can enhance your experience and qualifications.
Many businesses must proactively react to changing factors — like patterns of customer behavior or prices. Tracking model performance and retraining it once fresher data is available is key to success. This falls under the MLE range of responsibilities for which the requirement has been crucial for many organizations.
Please attach your resume and let us know through email your current address, phone number, and the best time to contact you by phone.
Apply To this Job
It's regarding a permanent opening with Data Semantics
Data Semantics
We are Product base company and Microsoft Gold Partner
Data Semantics is an award-winning Data Science company with a vision to empower every organization to harness the full potential of its data assets. In order to achieve this, we provide Artificial Intelligence, Big Data and Data Warehousing solutions to enterprises across the globe. Data Semantics was listed as one of the top 20 Analytics companies by Silicon India 2018 & CIO Review India 2014 as one of the Top 20 BI companies. We are headquartered in Bangalore, India with our offices in 6 global locations including USA United Kingdom, Canada, United Arab Emirates (Dubai Abu Dhabi), and Mumbai. Our mission is to enable our people to learn the art of data management and visualization to help our customers make quick and smart decisions.
Our Services include:
Business Intelligence & Visualization
App and Data Modernization
Low Code Application Development
Artificial Intelligence
Internet of Things
Data Warehouse Modernization
Robotic Process Automation
Advanced Analytics
Our Products:
Sirius – World’s most agile conversational AI platform
Serina
Conversational Analytics
Contactless Attendance Management System
Company URL: https://datasemantics.co
JD:
MSBI
SSAS
SSRS
SSIS
Datawarehousing
SQL
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data domain.
● Should have experience in architecting data ecosystem for streaming data and
analytical platforms.
● Expert level experience in building fault-tolerant & scalable big-data platforms and
big-data solutions primarily based on the Hadoop ecosystem.
● Expert level experience with Java, Python or Scala programming.
● Expert level experience designing high throughput data services.
● Familiarity with machine learning and AI.
● Experience with Big-Data Technologies (Hive, HBase, Spark, Kafka, Storm,
MapReduce, HDFS, Zookeeper, Scylla, Cassandra, Yarn), understands the
concepts and technology ecosystem around both real-time and batch processing in
Hadoop.
● Strong spoken and written communication skills.
● B.E/B.Tech/MS in Computer Science (or equivalent).
● Effective listening skills and strong collaboration
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In this role, we are looking for:
- A problem-solving mindset with the ability to understand business challenges and how to apply your analytics expertise to solve them.
- The unique person who can present complex mathematical solutions in a simple manner that most will understand, using data visualization techniques to tell a story with data.
- An individual excited by innovation and new technology and eager to finds ways to employ these innovations in practice.
- A team mentality, empowered by the ability to work with a diverse set of individuals.
- A passion for data, with a particular emphasis on data visualization.
Basic Qualifications
- A Bachelor’s degree in Data Science, Math, Statistics, Computer Science or related field with an emphasis on data analytics.
- 5+ Years professional experience, preferably in a data analyst / data scientist role or similar, with proven results in a data analyst role.
- 3+ Years professional experience in a leadership role guiding high-performing, data-focused teams with a track record of building and developing talent.
- Proficiency in your statistics / analytics / visualization tool of choice, but preferably in the Microsoft Azure Suite, including PowerBI and/or AzureML.
- Play a critical role as a member of the leadership team in shaping and supporting our overall company vision, day-to-day operations, and culture.
- Set the technical vision and build the technical product roadmap from launch to scale; including defining long-term goals and strategies
- Define best practices around coding methodologies, software development, and quality assurance
- Define innovative technical requirements and systems while balancing time, feasibility, cost and customer experience
- Build and support production products
- Ensure our internal processes and services comply with privacy and security regulations
- Establish a high performing, inclusive engineering culture focused on innovation, execution, growth and development
- Set a high bar for our overall engineering practices in support of our mission and goals
- Develop goals, roadmaps and delivery dates to help us scale quickly and sustainably
- Collaborate closely with Product, Business, Marketing and Data Science
- Experience with financial and transactional systems
- Experience engineering for large volumes of data at scale
- Experience with financial audit and compliance is a plus
- Experience building a successful consumer facing web and mobile apps at scale
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- 6+ years of recent hands-on Java development
- Developing data pipelines in AWS or Google Cloud
- Java, Python, JavaScript programming languages
- Great understanding of designing for performance, scalability, and reliability of data intensive application
- Hadoop MapReduce, Spark, Pig. Understanding of database fundamentals and advanced SQL knowledge.
- In-depth understanding of object oriented programming concepts and design patterns
- Ability to communicate clearly to technical and non-technical audiences, verbally and in writing
- Understanding of full software development life cycle, agile development and continuous integration
- Experience in Agile methodologies including Scrum and Kanban
Certification required-
DP-100/DP-200/AZ-900 Cetification Mandatory
Requirements:
- 3+ years of hands-on experience in Azure Databricks platform .Delta lake, Time travel design patterns. Lambda Data Architecture
- Experience in Azure Cloud Platform. (ADLS, Blob , ADF ).
- Understanding of big data file formats like JSON, Avro, Parquet and other prevalent big data file formats
- Experience with Python, PySpark, Scala, Spark to write data pipelines and data processing layers
- Demonstrate expertise in writing complex, highly-optimized SQL queries across large data sets
- Experience with Data Governance ( Data Quality, Metadata Management, Security, etc.)
- Strong SQL skills and proven experience in working with large datasets and relational databases.
- Understanding Data Warehouse design principles (Tabular, MD).
- Experience in working with big data tools/environment to automate production pipelines
- Familiarity with Azure Synapse and Snowflake
- Experience with data visual analysis and BI tools (matplotlib and Power BI)
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