UI/UX Designer

🚀 Job Title : Python AI/ML Engineer

💼 Experience : 3+ Years

📍 Location : Gurgaon (Work from Office, 5 Days/Week)

📅 Notice Period : Immediate

Summary :

We are looking for a Python AI/ML Engineer with strong experience in developing and deploying machine learning models on Microsoft Azure.

🔧 Responsibilities :

• Build and deploy ML models using Azure ML.
• Develop scalable Python applications with cloud-first design.
• Create data pipelines using Azure Data Factory, Blob Storage & Databricks.
• Optimize performance, fix bugs, and ensure system reliability.
• Collaborate with cross-functional teams to deliver intelligent features.

✅ Requirements :

• 3+ Years of software development experience.
• Strong Python skills; experience with scikit-learn, pandas, NumPy.
• Solid knowledge of SQL and relational databases.
• Hands-on with Azure ML, Data Factory, Blob Storage.
• Familiarity with Git, REST APIs, Docker.

• Write clear, concise, and compelling content for various platforms, including website copy, blog posts, articles, social media updates, email newsletters, marketing materials, and more.
• Develop engaging and informative content that aligns with our brand voice and target audience.
• Research industry-related topics to develop original content.
• Edit and proofread content for accuracy, grammar, and style.

Content Strategy & Planning:

• Collaborate with the marketing team to develop content calendars and strategies.
• Brainstorm and pitch content ideas.
• Analyze content performance and make recommendations for improvement.
• Understand and implement SEO best practices to optimize content for search engines.

Collaboration & Communication:

• Work closely with designers, marketers, and other team members to ensure content consistency and quality.
• Communicate effectively with stakeholders to understand project requirements and deadlines.

should have basic knowledge of meta ( FB and Instagram postings), meta ads, Google ads. 

-should be good enough in market and trend research. 

-should have good interaction with the team and  their capabilities. 

- should be able to acknowledge and train the team on the latest trends and keep the team motivated. 

-very good communication skills to interact with clients. 

-be in continuous engagement with the clients and understand their views

Data Engineering : Senior Engineer / Manager

As Senior Engineer/ Manager in Data Engineering, you will translate client requirements into technical design, and implement components for a data engineering solutions. Utilize a deep understanding of data integration and big data design principles in creating custom solutions or implementing package solutions. You will independently drive design discussions to insure the necessary health of the overall solution.

Must Have skills :

1. GCP

2. Spark streaming : Live data streaming experience is desired.

3. Any 1 coding language: Java/Pyhton /Scala

Skills & Experience :

- Overall experience of MINIMUM 5+ years with Minimum 4 years of relevant experience in Big Data technologies

- Hands-on experience with the Hadoop stack - HDFS, sqoop, kafka, Pulsar, NiFi, Spark, Spark Streaming, Flink, Storm, hive, oozie, airflow and other components required in building end to end data pipeline. Working knowledge on real-time data pipelines is added advantage.

- Strong experience in at least of the programming language Java, Scala, Python. Java preferable

- Hands-on working knowledge of NoSQL and MPP data platforms like Hbase, MongoDb, Cassandra, AWS Redshift, Azure SQLDW, GCP BigQuery etc.

- Well-versed and working knowledge with data platform related services on GCP

- Bachelor's degree and year of work experience of 6 to 12 years or any combination of education, training and/or experience that demonstrates the ability to perform the duties of the position

Your Impact :

- Data Ingestion, Integration and Transformation

- Data Storage and Computation Frameworks, Performance Optimizations

- Analytics & Visualizations

- Infrastructure & Cloud Computing

- Data Management Platforms

- Build functionality for data ingestion from multiple heterogeneous sources in batch & real-time

- Build functionality for data analytics, search and aggregation

• Owning Fintech Fraud Risk products across account opening and account and activity monitoring
• Defining OKRs for success such as % approvals, bp in losses, good customer friction, precision/ recall etc.
• Thinking out of the box and identifying opportunities where we can build world class Fraud Risk solutions either in-house or via partnerships
• Working with Engineering to create risk capabilities, analytics and decisioning logic to identify, analyze and prevent suspicious activities, including but not limited to: Identity Fraud, Account Takeover/ Abuse Fraud, Transactions Risk, Unauthorized Chargeback Risk etc.
• Driving Proof of Concepts and Demos to illustrate the company's capabilities
• Working with Sales, Business Operations and Engineering to meet internal and external stakeholder needs
• Researching emerging issues impacting Fintech players and ideating on solving their digital risks through innovation
• Validating supply partnerships to be used in solutioning, where needed
• Collaborating with external partners and clients and standardizing integration strategy for the company's input/ output and client feedback loops

Desired Candidate Profile

• 5-7 years of experience in Product Management, preferably in Financial Fraud Risk
• Career concentration in Fintechs, Payments or Risk Service Providers
• Experience in developing requirements for Risk score-based rules engines, Classification and Regression models etc.
• Bachelor’s degree or higher, preferably in Maths, Statistics or an area of Technology
• Strong quantitative abilities, distinctive problem-solving and excellent analytics skills
• Strong organizational, communication, presentation and project management skills
• Experience with analytical/ statistical tools like SQL, SAS, Altair Knowledge Studio, R or Python preferable
• Experience in experimentation and A/B testing a plus
• Strong sense of product design and customer empathy