District Sales Manager

Skills: Gen AI, Machine learning Models, AWS/ Azure, redshift, Python, Apachi, Airflow, Devops, minimum 4-5years experience as Architect, should be from Data Engineering background.

• 8+ years of experience in data engineering, data science, or architecture roles.

• Experience designing enterprise-grade AI platforms.

• Certification in major cloud platforms (AWS/Azure/GCP).

• Experience with governance tooling (Collibra, Alation) and lineage systems

• Strong hands-on background in data engineering, analytics, or data science.

• Expertise in building data platforms using:

o Cloud: AWS (Glue, S3, Redshift), Azure (Data Factory, Synapse), GCP (BigQuery,

Dataflow).

o Compute: Spark, Databricks, Flink.

o Data modelling: dimensional, relational, NoSQL, graph.

• Proficiency with Python, SQL, and data pipeline orchestration tools.

• Understanding of ML frameworks and tools: TensorFlow, PyTorch, Scikit-learn, MLflow, etc.

• Experience implementing MLOps, model deployment, monitoring, logging, and versioning.

Strong Software Engineer, Engineering Manager Profiles

Mandatory (Experience) – Must have minimum 4+ years of hands on experience in Frontend-focused Software development

Mandatory (Tech Skillset) – Must have 3+ years of hands-on experience in frontend Development using React / Angular / Vue (any 1)

Mandatory (Mentoring Skillset) – Must have at least 1+ year of experience leading or mentoring a team of software engineers.

Mandatory (Tech Skills) – Must have a solid understanding of JavaScript (ES6+), TypeScript, and Frontend architectures / Design systems

Mandatory (Company) – Top-tier/renowned product-based company (preferred Entreprise B2B SaaS)

Mandatory (Education) – Undergraduation from Tier-1 Engineering College (IIT, BITS, IIIT, NSUT, DTU, etc.)

3-5 years of experience in manual and auto testing through Selenium

Write all automation scripts for Backend and Frontend

Document Test Cases.

• Develop and maintain automation suite throughout the product life cycle.
• Develop data driven test automation scripts and execute tests.
• Utilize innovative test technologies to develop application testing strategy.
• Analyse and debug the test data to identify the root cause of failures.
• Actively communicate test progress, results and other relevant information to project

stakeholders.

• Collaborate with other team members and stakeholders

• Selling Platform-as-a-Service/Infrastructure-as-a-Service (PaaS/IaaS) and working toward strategic business goals in the technology industry.
• Excellent communication, presentation, strategic and research skills with the ability to plan, present and execute strategy.
• Lead business strategy in generating and developing business growth opportunities.
• Working collaboratively with customers in order to maximize business results in the area and open up opportunities with enterprise customers.

About Us

Zupee is India’s fastest-growing innovator in real money gaming with a focus on predominant skill-focused games. Started by 2 IIT-Kanpur alumni in 2018, we are backed by marquee global investors such as WestCap Group, Tomales Bay Capital, Matrix Partners, Falcon Edge, Orios Ventures, and Smile Group.

Know more about our recent funding: https://bit.ly/3AHmSL3

Our focus has been on innovating in the board, strategy, and casual games sub-genres. We innovate to ensure our games provide an intersection between skill and entertainment, enabling our users to earn while they play.

Location: We are location agnostic & our teams work from anywhere. Physically we are based out of Gurugram

Core Responsibilities:

• Responsible for designing, developing, testing, and deploying ML models that can leverage multiple signal sources, to build a personalized user experience
• Work closely with the business stakeholders to identify the potential Data science applications
• Contribute by doing opportunity analysis, building project proposals, designing and implementation of ML projects, in the areas of Ranking, Embeddings, Recommendation engines, etc
• Collaborate with software engineering teams to design experiments, model implementations, and new feature creation
• Clearly communicate technical details, strategies, and outcomes to a business audience

What are we looking for

• 4+ years of hands-on experience in data science using techniques including but not limited to regression, classification, NLP etc.
• Previous experience in model deployment, model monitoring, optimization and model interpretability.
• Expertise with Random forests, Gradient boosting, KNN, Regression and unsupervised learning algorithms
• Experience in using Neural Networks like ANN, RNN, Reinforcement Learning or Deep Learning etc.
• Solid understanding of Python and common machine learning frameworks such as XGBoost, scikit-learn, PyTorch/Tensorflow
• Outstanding problem-solving skills, with demonstrated ability to think creatively and strategically
• Technology-driven mindset, up-to-date with digital and technology literature, trends.
• Must have knowledge of Experimentation and Basic Statistics
• Must have experience in Predictive Analytics

Non-Desired Skills:

1. Experience in Descriptive Analytics – Don’t apply
2. Experience in NLP Text Analysis, Image, Speech Analysis – Don’t apply