11+ GLM Jobs in India

About us:

Hypersonix.ai is revolutionizing the e-commerce landscape by harnessing the power of AI, ML, and advanced decision capabilities to deliver real-time business insights. Built from the ground up with cutting-edge technology, Hypersonix.ai simplifies data consumption for our diverse range of customers across various industry verticals.

Roles and Responsibilities:

• Collaborate with cross-functional teams in designing, developing, and deploying traditional machine learning models and algorithms for supply chain optimization.
• Conduct research, experimentation, and implementation of state-of-the-art traditional machine learning techniques and frameworks to address complex challenges.
• Develop and enhance forecasting models for demand prediction, inventory management, and pricing optimization.
• Optimize traditional machine learning models for tasks such as inventory forecasting, pricing strategies, and demand forecasting.
• Stay abreast of the latest advancements in traditional machine learning, forecasting techniques, and optimization methods, integrating them into our projects.
• Collaborate closely with data scientists, software engineers, and product teams to seamlessly integrate machine learning solutions into production environments.
• Document research findings, methodologies, and codebase for effective knowledge sharing and team collaboration.
• Troubleshoot and resolve issues in production environments to ensure system reliability and performance.
• Conduct root cause analysis of product defects and implement effective solutions.
• Design, develop, and maintain components of the product to drive customer adoption.
• Utilize various data science methodologies to tackle complex business problems effectively.

Qualifications:

• Strong problem-solving skills and the ability to tackle complex, open-ended challenges.
• Self-motivated individual with a strong work ethic, capable of working independently and collaboratively within a team.
• Proven experience in traditional machine learning, forecasting, pricing, and inventory optimization with a strong portfolio of projects (7-9 years).
• Experience working on NLP and deep learning.
• Proficiency in Python programming and the ability to write efficient, maintainable code.
• Expertise in traditional machine learning libraries and frameworks such as scikit-learn, XGBoost, and LightGBM.
• Experience with cloud-based AI services and infrastructure (e.g., AWS).
• Demonstrated experience in API development and integration.
• Previous experience working in production environments, ensuring system stability and performance.

• 3+ years experience in practical implementation and deployment of ML based systems preferred.
• BE/B Tech or M Tech (preferred) in CS/Engineering with strong mathematical/statistical background
• Strong mathematical and analytical skills, especially statistical and ML techniques, with familiarity with different supervised and unsupervised learning algorithms
• Implementation experiences and deep knowledge of Classification, Time Series Analysis, Pattern Recognition, Reinforcement Learning, Deep Learning, Dynamic Programming and Optimisation
• Experience in working on modeling graph structures related to spatiotemporal systems
• Programming skills in Python
• Experience in developing and deploying on cloud (AWS or Google or Azure)
• Good verbal and written communication skills
• Familiarity with well-known ML frameworks such as Pandas, Keras, TensorFlow

• Drive and participate in requirements gathering workshops, estimation discussions, design meetings and status review meetings
• Participate and contribute in Solution Design and Solution Architecture for implementing Big Data Projects on-premise and on cloud
• Technical Hands on experience in design, coding, development and managing Large Hadoop implementation
• Proficient in SQL, Hive, PIG, Spark SQL, Shell Scripting, Kafka, Flume, Scoop with large Big Data and Data Warehousing projects with either Java, Python or Scala based Hadoop programming background
• Proficient with various development methodologies like waterfall, agile/scrum and iterative
• Good Interpersonal skills and excellent communication skills for US and UK based clients

• 3-5yrs of practical DS experience working with varied data sets. Working with retail banking is preferred but not necessary.
• Need to be strong in concepts of statistical modelling – particularly looking for practical knowledge learnt from work experience (should be able to give "rule of thumb" answers)
• Strong problem solving skills and the ability to articulate really well.
• Ideally, the data scientist should have interfaced with data engineering and model deployment teams to bring models / solutions to "live" in production.
• Strong working knowledge of python ML stack is very important here.
• Willing to work on diverse range of tasks in building ML related capability on the Corridor Platform as well as client work.
• Someone with strong interest in data engineering aspect of ML is highly preferred, i.e. can play dual role of Data Scientist as well as someone who can code a module on our Corridor Platform writing robust code.

Structured ML techniques for candidates:

1. GBM
2. XgBoost
3. Random Forest
4. Neural Net
5. Logistic Regression

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.

Working closely with the Product group and other teams, the Data Engineer is responsible for the development, deployment and maintenance of our data infrastructure and applications. With a focus on quality, error-free data delivery, the Data Engineer works to ensure our data is appropriately available and fully supporting various constituencies across our organization. This is a multifaceted opportunity to work with a small, talented team on impactful projects that are essential to ACUE’s higher education success. As an early member of our tech group, you’ll have the unique opportunity to build critical systems and features while helping shape the direction of the team and the product.