Customer Success Manager

Job Description

Responsibilities:

- Collaborate with stakeholders to understand business objectives and requirements for AI/ML projects.

- Conduct research and stay up-to-date with the latest AI/ML algorithms, techniques, and frameworks.

- Design and develop machine learning models, algorithms, and data pipelines.

- Collect, preprocess, and clean large datasets to ensure data quality and reliability.

- Train, evaluate, and optimize machine learning models using appropriate evaluation metrics.

- Implement and deploy AI/ML models into production environments.

- Monitor model performance and propose enhancements or updates as needed.

- Collaborate with software engineers to integrate AI/ML capabilities into existing software systems.

- Perform data analysis and visualization to derive actionable insights.

- Stay informed about emerging trends and advancements in the field of AI/ML and apply them to improve existing solutions.

Strong experience in Apache pyspark is must

Requirements:

- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

- Proven experience of 3-5 years as an AI/ML Engineer or a similar role.

- Strong knowledge of machine learning algorithms, deep learning frameworks, and data science concepts.

- Proficiency in programming languages such as Python, Java, or C++.

- Experience with popular AI/ML libraries and frameworks, such as TensorFlow, Keras, PyTorch, or scikit-learn.

- Familiarity with cloud platforms, such as AWS, Azure, or GCP, and their AI/ML services.

- Solid understanding of data preprocessing, feature engineering, and model evaluation techniques.

- Experience in deploying and scaling machine learning models in production environments.

- Strong problem-solving skills and ability to work on multiple projects simultaneously.

- Excellent communication and teamwork skills.

Preferred Skills:

- Experience with natural language processing (NLP) techniques and tools.

- Familiarity with big data technologies, such as Hadoop, Spark, or Hive.

- Knowledge of containerization technologies like Docker and orchestration tools like Kubernetes.

- Understanding of DevOps practices for AI/ML model deployment

-Apache ,Pyspark

Role / Purpose - Lead Developer - API and Microservices

Must have a strong hands-on development track record building integration utilizing a variety of integration products, tools, protocols, technologies, and patterns.

• Must have an in-depth understanding of SOA/EAI/ESB concepts, SOA Governance, Event-Driven Architecture, message-based architectures, file sharing, and exchange platforms, data virtualization and caching strategies, J2EE design patterns, frameworks
• Should possess experience with at least one of middleware technologies (Application Servers, BPMS, BRMS, ESB & Message Brokers), Programming languages (e.g. Java/J2EE, JavaScript, COBOL, C), Operating Systems (e.g. Windows, Linux, MVS), and Databases (DB2, MySQL, No SQL Databases like MongoDB, Cassandra, Hadoop, etc.)
• Must have experience implementing API Service architectures (SOAP, REST) using any of the market-leading API Management tools such as Apigee and frameworks such as Spring Boot for Microservices
• Should have Advanced skills in implementing API Service architectures (SOAP, REST) using any of the market-leading API Management tools such as Apigee or similar frameworks such as Spring Boot for Microservices 
• Appetite to manage large-scale projects and multiple tracks
•  Experience and knowhow of the e-commerce domain and retail experience are preferred
•  Good communication & people managerial skills

1. Work as part of cross-functional, passionate agile project teams to ensure quality is driven into the heart of the development process from requirements definition to delivery
2. Architecting, designing, developing and deploying new features for mobile applications.
3. Ensure the best possible performance, quality, and responsiveness of the application
4. Diagnose and fix bugs and performance bottlenecks for great performance
5. Maintain code and write automated tests to ensure the product is of the highest quality

1. You have at least 1y ears of full-time mobile development experience (iOS, Android) with at 1 year experience with Flutter & Dart
2. Familiarity with RESTful APIs to connect applications to back-end services
3. Experience developing integrations with common APIs (e.g., Firebase, Twitter, Facebook, Instagram, Stripe, Vimeo, Google etc.)
4. Proficient understanding of code versioning tools, such as Git
5. Strong knowledge of design principles, patterns, and best practices
6. Experience with offline storage, threading, and performance tuning
7. Ability to understand and translate business requirements into technical requirements

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