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.
About Antuit
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About the role/ Some of the things we'd like you to do:
- Support the Analytics team and other stakeholders with analytics agendas impacting campaigns, measurement frameworks, and campaign optimization.
- Conduct thorough data analysis using various tools and software within MFG to provide insights and recommendations that align with client needs.
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About yourself/ Requirements:
- Bachelor's degree in a related quantitative field (e.g. Statistics, Business Analytics, Economics, Computer Science, etc.)
- 1-2 years of relevant work experience in data analysis; digital media experience desired
- Strong knowledge of various data analysis tools and software (e.g., Excel, SQL, R, Python, Tableau).
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- Excellent problem-solving skills and the ability to analyze complex data sets.
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At Livello we building machine-learning-based demand forecasting tools as well as computer-vision-based multi-camera product recognition solutions that detects people and products to track the inserted/removed items on shelves based on the hand movement of users. We are building models to determine real-time inventory levels, user behaviour as well as predicting how much of each product needs to be reordered so that the right products are delivered to the right locations at the right time, to fulfil customer demand.
Responsibilities
- Lead the CV and DS Team
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- You help build our smart supply chain system, keep up to date with the latest algorithmic improvements in forecasting and predictive areas, challenge the status quo
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- Technological conception, design and implementation of new features
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- Work with a cross-functional team to define, build, test, and deploy applications
Requirements:
- Master/PHD in Mathematics, Statistics, Engineering, Econometrics, Computer Science or any related fields.
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- Knowledge of the tools, libraries and cloud services for Data Science. Ideally Google Cloud Platform
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- Cooperative and independent work, analytical mindset, and willingness to take responsibility
- Fluency in English, both written and spoken.
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- Design, develop, and maintain the end-to-end MLOps infrastructure from the ground up, leveraging open-source systems across the entire MLOps landscape.
- Creating pipelines for data ingestion, data transformation, building, testing, and deploying machine learning models, as well as monitoring and maintaining the performance of these models in production.
- Managing the MLOps stack, including version control systems, continuous integration and deployment tools, containerization, orchestration, and monitoring systems.
- Ensure that the MLOps stack is scalable, reliable, and secure.
Skills Required:
- 3-6 years of MLOps experience
- Preferably worked in the startup ecosystem
Primary Skills:
- Experience with E2E MLOps systems like ClearML, Kubeflow, MLFlow etc.
- Technical expertise in MLOps: Should have a deep understanding of the MLOps landscape and be able to leverage open-source systems to build scalable, reliable, and secure MLOps infrastructure.
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- DevOps experience: Should have experience with DevOps tools and practices, such as Git, Docker, Kubernetes, and Jenkins.
Secondary Skills:
- Version Control Systems (VCS) tools like Git and Subversion
- Containerization technologies like Docker and Kubernetes
- Cloud Platforms like AWS, Azure, and Google Cloud Platform
- Data Preparation and Management tools like Apache Spark, Apache Hadoop, and SQL databases like PostgreSQL and MySQL
- Machine Learning Frameworks like TensorFlow, PyTorch, and Scikit-learn
- Monitoring and Logging tools like Prometheus, Grafana, and Elasticsearch
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Understand business problems and translate business requirements into technical requirements.
Conduct complex data analysis to ensure data quality & reliability i.e., make the data talk by extracting, preparing, and transforming it.
Identify, develop and implement statistical techniques and algorithms to address business challenges and add value to the organization.
Gather requirements and communicate findings in the form of a meaningful story with the stakeholders.
Build & implement data models using predictive modelling techniques. Interact with clients and provide support for queries and delivery
adoption.
Lead and mentor data analysts.
What we are looking for-
Apart from your love for data and ability to code even while sleeping you would need the following.
Minimum of 02 years of experience in designing and delivery of data science solutions.
You should have successful projects of retail/BFSI/FMCG/Manufacturing/QSR in your kitty to show-off.
Deep understanding of various statistical techniques, mathematical models, and algorithms to start the conversation with the data in hand.
Ability to choose the right model for the data and translate that into a code using R, Python, VBA, SQL, etc.
Bachelors/Masters degree in Engineering/Technology or MBA from
Tier-1 B School or MSc. in Statistics or Mathematics.
Data Analyst
Job Description
Summary
Are you passionate about handling large & complex data problems, want to make an impact and have the desire to work on ground-breaking big data technologies? Then we are looking for you.
At Amagi, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Would you like to work in a fast-paced environment where your technical abilities will be challenged on a day-to-day basis? If so, Amagi’s Data Engineering and Business Intelligence team is looking for passionate, detail-oriented, technical savvy, energetic team members who like to think outside the box.
Amagi’s Data warehouse team deals with petabytes of data catering to a wide variety of real-time, near real-time and batch analytical solutions. These solutions are an integral part of business functions such as Sales/Revenue, Operations, Finance, Marketing and Engineering, enabling critical business decisions. Designing, developing, scaling and running these big data technologies using native technologies of AWS and GCP are a core part of our daily job.
Key Qualifications
- Experience in building highly cost optimised data analytics solutions
- Experience in designing and building dimensional data models to improve accessibility, efficiency and quality of data
- Experience (hands on) in building high quality ETL applications, data pipelines and analytics solutions ensuring data privacy and regulatory compliance.
- Experience in working with AWS or GCP
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- Experience to full stack web development (Preferably Python)
- Expertise with data visualisation systems such as Tableau and Quick Sight
- Proficiency in writing advanced SQL queries with expertise in performance tuning handling large data volumes
- Familiarity with ML/AÍ technologies is a plus
- Demonstrate strong understanding of development processes and agile methodologies
- Strong analytical and communication skills. Should be self-driven, highly motivated and ability to learn quickly
Description
Data Analytics is at the core of our work, and you will have the opportunity to:
- Design Data-warehousing solutions on Amazon S3 with Athena, Redshift, GCP Bigtable etc
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Our work relies on deep understanding of the company needs and an ability to go through vast amounts of internal data such as sales, KPIs, forecasts, Inventory etc. One of the key expectations of this role would be to do data analytics, building data lakes, end to end reporting solutions etc. If you have a passion for cost optimised analytics and data engineering and are eager to learn advanced data analytics at a large scale, this might just be the job for you..
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A bachelor’s/master’s degree in Computer Science with 5 to 7 years of experience and previous experience in data engineering is a plus.
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Responsibilities
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structured query language (SQL) skills, data warehouse and reporting techniques.
Extensive experience in providing AWS Cloud solutions to various business
use cases.
Creating star schema data models, performing ETLs and validating results with
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Supporting implemented BI solutions by: monitoring and tuning queries and
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performance and communicating functional and technical issues.
Job Description: -
This position is responsible for the successful delivery of business intelligence
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Requisite Qualification
Essential
-
AWS Certified Database Specialty or -
AWS Certified Data Analytics
Preferred
Any other Data Engineer Certification
Requisite Experience
Essential 4 -7 yrs of experience
Preferred 2+ yrs of experience in ETL & data pipelines
Skills Required
Special Skills Required
AWS: S3, DMS, Redshift, EC2, VPC, Lambda, Delta Lake, CloudWatch etc.
Bigdata: Databricks, Spark, Glue and Athena
Expertise in Lake Formation, Python programming, Spark, Shell scripting
Minimum Bachelor’s degree with 5+ years of experience in designing, building,
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3+ years of experience in data component configuration, related roles and
access setup
Expertise in Python programming
Knowledge in all aspects of DevOps (source control, continuous integration,
deployments, etc.)
Comfortable working with DevOps: Jenkins, Bitbucket, CI/CD
Hands on ETL development experience, preferably using or SSIS
SQL Server experience required
Strong analytical skills to solve and model complex business requirements
Sound understanding of BI Best Practices/Methodologies, relational structures,
dimensional data modelling, structured query language (SQL) skills, data
warehouse and reporting techniques
Preferred Skills
Required
Experience working in the SCRUM Environment.
Experience in Administration (Windows/Unix/Network/
plus.
Experience in SQL Server, SSIS, SSAS, SSRS
Comfortable with creating data models and visualization using Power BI
Hands on experience in relational and multi-dimensional data modelling,
including multiple source systems from databases and flat files, and the use of
standard data modelling tools
Ability to collaborate on a team with infrastructure, BI report development and
business analyst resources, and clearly communicate solutions to both
technical and non-technical team members
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Education Qualification: Bachelor, Master or PhD degree in Computer Science, Mathematics, Electronics, Information Systems from a reputed university and/or equivalent Knowledge and Skills
Location : Hyderabad, Bengaluru, Delhi, Client Location (as needed)
Skillset and Expertise
• Strong software development experience using Python
• Strong background in mathematical, numerical and scientific computing using Python.
• Knowledge in Artificial Intelligence/Machine learning
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Indian languages
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• Highest level of integrity and work ethic
Frameworks
1. Scikit-learn
2. Tensorflow
3. Keras
4. OpenCV
5. Django
6. CUDA
7. Apache Kafka
Mathematics
1. Advanced Calculus
2. Numerical Analysis
3. Complex Function Theory
4. Probability
Concepts (One or more of the below)
1. OpenGL based 3D programming
2. Cryptography
3. Artificial Intelligence (AI) Algorithms a) Statistical modelling b.) DNN c. RNN d. LSTM e.GAN f. CN
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SteelEye is the only regulatory compliance technology and data analytics firm that offers transaction reporting, record keeping, trade reconstruction, best execution and data insight in one comprehensive solution. The firm’s scalable secure data storage platform offers encryption at rest and in flight and best-in-class analytics to help financial firms meet regulatory obligations and gain competitive advantage.
The company has a highly experienced management team and a strong board, who have decades of technology and management experience and worked in senior positions at many leading international financial businesses. We are a young company that shares a commitment to learning, being smart, working hard and being honest in all we do and striving to do that better each day. We value all our colleagues equally and everyone should feel able to speak up, propose an idea, point out a mistake and feel safe, happy and be themselves at work.
Being part of a start-up can be equally exciting as it is challenging. You will be part of the SteelEye team not just because of your talent but also because of your entrepreneurial flare which we thrive on at SteelEye. This means we want you to be curious, contribute, ask questions and share ideas. We encourage you to get involved in helping shape our business. What you'll do
What you will do?
- Deliver plugins for our python based ETL pipelines.
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- Deal with challenges associated with large volumes of data.
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- Champion best practices and provide mentorship.
What we're looking for
- Python 3.
- Python libraries used for data (such as pandas, numpy).
- AWS.
- Elasticsearch.
- Performance tuning.
- Object Oriented Design and Modelling.
- Delivering complex software, ideally in a FinTech setting.
- CI/CD tools.
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- Excellent written and oral communication skills.
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- Capacity Planning and Performance Tuning on Azure Stack and Spark.