SALES ASSOCIATE

About the Role:

As an Intune Engineer, you will primarily focus on migrating endpoints from SCCM to Microsoft Intune, managing co-management environments, and overseeing Intune infrastructure to ensure scalable, secure, and high-performance device management. You'll work closely with Microsoft 365 ecosystem tools and support enterprise-wide device provisioning, compliance, and security.

What You'll Do:

• Design, implement, and maintain Microsoft Intune infrastructure with ongoing integration to Microsoft 365 services
• Develop and enforce policies around secure device access, compliance, and application management
• Handle device enrollment, provisioning, and lifecycle management across Windows, iOS, and Android
• Develop automation scripts and collaborate with teams to streamline workflows
• Provide advanced Tier 3 support and training for complex Intune-related issues
• Manage Windows Autopilot and Azure AD integration for hybrid identity and seamless onboarding
• Lead security compliance checks and audit readiness through Intune policies

What We’re Looking For:

• 3-4 years of endpoint management experience with 2+ years in Microsoft Intune (SCCM migration experience is a big plus)
• Strong technical skills in Windows OS, Azure AD, Autopilot, conditional access, and device security
• Expertise troubleshooting device enrollment, app deployment, and security settings
• Familiarity with scripting (PowerShell, Graph API) and enterprise automation
• Microsoft 365 Certified Endpoint Administrator Associate or equivalent preferred
• Excellent communication skills with a team-first mindset

🚀 We’re Hiring: Senior Python Backend Developer 🚀

📍 Location: Baner, Pune (Work from Office)

💰 Compensation: ₹6 LPA

🕑 Experience Required: Minimum 2 years as a Python Backend Developer

About Us

Foto Owl AI is a fast-growing product-based company headquartered in Baner, Pune.

We specialize in:

⚡ Hyper-personalized fan engagement

🤖 AI-powered real-time photo sharing

📸 Advanced media asset management

What You’ll Do

As a Senior Python Backend Developer, you’ll play a key role in designing, building, and deploying scalable backend systems that power our cutting-edge platforms.

Architect and develop complex, secure, and scalable backend services

Build and maintain APIs & data pipelines for web, mobile, and AI-driven platforms

Optimize SQL & NoSQL databases for high performance

Manage AWS infrastructure (EC2, S3, RDS, Lambda, CloudWatch, etc.)

Implement observability, monitoring, and security best practices

Collaborate cross-functionally with product & AI teams

Mentor junior developers and conduct code reviews

Troubleshoot and resolve production issues with efficiency

What We’re Looking For

✅ Strong expertise in Python backend development

✅ Solid knowledge of Data Structures & Algorithms

✅ Hands-on experience with SQL (PostgreSQL/MySQL) and NoSQL (MongoDB, Redis, etc.)

✅ Proficiency in RESTful APIs & Microservice design

✅ Knowledge of Docker, Kubernetes, and cloud-native systems

✅ Experience managing AWS-based deployments

Why Join Us?

At Foto Owl AI, you’ll be part of a passionate team building world-class media tech products used in sports, events, and fan engagement platforms. If you love scalable backend systems, real-time challenges, and AI-driven products, this is the place for you.

Job Description:

As a Machine Learning Engineer, you will:

• Operationalize AI models for production, ensuring they are scalable, robust, and efficient.
• Work closely with data scientists to optimize machine learning model performance.
• Utilize Docker and Kubernetes for the deployment and management of AI models in a production environment.
• Collaborate with cross-functional teams to integrate AI models into products and services.

Responsibilities:

• Develop and deploy scalable machine learning models into production environments.
• Optimize models for performance and scalability.
• Implement continuous integration and deployment (CI/CD) pipelines for machine learning projects.
• Monitor and maintain model performance in production.

Key Performance Indicators (KPI) For Role:

• Success in deploying scalable and efficient AI models into production.
• Improvement in model performance and scalability post-deployment.
• Efficiency in model deployment and maintenance processes.
• Positive feedback from team members and stakeholders on AI model integration and performance.
• Adherence to best practices in machine learning engineering and deployment.

Prior Experience Required:

• 2-4 years of experience in machine learning or data science, with a focus on deploying machine learning models into production.
• Proficient in Python and familiar with data science libraries and frameworks (e.g., TensorFlow, PyTorch).
• Experience with Docker and Kubernetes for containerization and orchestration of machine learning models.
• Demonstrated ability to optimize machine learning models for performance and scalability.
• Familiarity with machine learning lifecycle management tools and practices.
• Experience in developing and maintaining scalable and robust AI systems.
• Knowledge of best practices in AI model testing, versioning, and deployment.
• Strong understanding of data preprocessing, feature engineering, and model evaluation metrics.

Employer:

RaptorX.ai

Location:

Hyderabad

Collaboration:

The role requires collaboration with data engineers, software developers, and product managers to ensure the seamless integration of AI models into products and services.

Salary:

Competitive, based on experience.

Education:

• Bachelor's degree in Computer Science, Information Technology, or a related field.

Language Skills:

• Strong command of Business English, both verbal and written, is required.

Other Skills Required:

• Strong analytical and problem-solving skills.
• Proficiency in code versioning tools, such as Git.
• Ability to work in a fast-paced and evolving environment.
• Excellent teamwork and communication skills.
• Familiarity with agile development methodologies.
• Understanding of cloud computing services (AWS, Azure, GCP) and their use in deploying machine learning models is a plus.

Other Requirements:

• Proven track record of successfully deploying machine learning models into production.
• Ability to manage multiple projects simultaneously and meet deadlines.
• A portfolio showcasing successful AI/ML projects.

Founders and Leadership

RaptorX is led by seasoned founders with deep expertise in security, AI, and enterprise solutions. Our leadership team has held senior positions at global tech giants like Microsoft, Palo Alto Networks, Akamai, and Zscaler, solving critical problems at scale.

We bring not just technical excellence, but also a relentless passion for innovation and impact.

The Market Opportunity

Fraud costs the global economy trillions of dollars annually, and traditional fraud detection methods simply can't keep up. The demand for intelligent, adaptive solutions like RaptorX is massive and growing exponentially across industries like:

• Fintech and Banking
• E-commerce
• Payments

This is your chance to work on a product that addresses a multi-billion-dollar market with huge growth potential.

The Tech Space at RaptorX

We are solving large-scale, real-world problems using modern technologies, offering specialized growth paths for every tech role.

Why You Should Join Us

1. Opportunity to Grow: As an early-stage startup, every contribution you make will have a direct impact on the company’s growth and success. You’ll wear multiple hats, learn fast, and grow exponentially.
2. Innovate Every Day: Solve complex, unsolved problems using the latest in AI, Graph Databases, and advanced analytics.
3. Collaborate with the Best: Work alongside some of the brightest minds in the industry. Learn from leaders who have built and scaled successful products globally.
4. Make an Impact: Help businesses reduce losses, secure customers, and prevent fraud globally. Your work will create a tangible difference.

The Sr AWS/Azure/GCP Databricks Data Engineer at Koantek will use comprehensive

modern data engineering techniques and methods with Advanced Analytics to support

business decisions for our clients. Your goal is to support the use of data-driven insights

to help our clients achieve business outcomes and objectives. You can collect, aggregate, and analyze structured/unstructured data from multiple internal and external sources and

patterns, insights, and trends to decision-makers. You will help design and build data

pipelines, data streams, reporting tools, information dashboards, data service APIs, data

generators, and other end-user information portals and insight tools. You will be a critical

part of the data supply chain, ensuring that stakeholders can access and manipulate data

for routine and ad hoc analysis to drive business outcomes using Advanced Analytics. You are expected to function as a productive member of a team, working and

communicating proactively with engineering peers, technical lead, project managers, product owners, and resource managers. Requirements:

 Strong experience as an AWS/Azure/GCP Data Engineer and must have

AWS/Azure/GCP Databricks experience.  Expert proficiency in Spark Scala, Python, and spark

 Must have data migration experience from on-prem to cloud

 Hands-on experience in Kinesis to process & analyze Stream Data, Event/IoT Hubs, and Cosmos

 In depth understanding of Azure/AWS/GCP cloud and Data lake and Analytics

solutions on Azure.  Expert level hands-on development Design and Develop applications on Databricks.  Extensive hands-on experience implementing data migration and data processing

using AWS/Azure/GCP services

 In depth understanding of Spark Architecture including Spark Streaming, Spark Core, Spark SQL, Data Frames, RDD caching, Spark MLib

 Hands-on experience with the Technology stack available in the industry for data

management, data ingestion, capture, processing, and curation: Kafka, StreamSets, Attunity, GoldenGate, Map Reduce, Hadoop, Hive, Hbase, Cassandra, Spark, Flume, Hive, Impala, etc

 Hands-on knowledge of data frameworks, data lakes and open-source projects such

asApache Spark, MLflow, and Delta Lake

 Good working knowledge of code versioning tools [such as Git, Bitbucket or SVN]

 Hands-on experience in using Spark SQL with various data sources like JSON, Parquet and Key Value Pair

 Experience preparing data for Data Science and Machine Learning with exposure to- model selection, model lifecycle, hyperparameter tuning, model serving, deep

learning, etc

 Demonstrated experience preparing data, automating and building data pipelines for

AI Use Cases (text, voice, image, IoT data etc. ).  Good to have programming language experience with. NET or Spark/Scala

 Experience in creating tables, partitioning, bucketing, loading and aggregating data

using Spark Scala, Spark SQL/PySpark

 Knowledge of AWS/Azure/GCP DevOps processes like CI/CD as well as Agile tools

and processes including Git, Jenkins, Jira, and Confluence

 Working experience with Visual Studio, PowerShell Scripting, and ARM templates.  Able to build ingestion to ADLS and enable BI layer for Analytics

 Strong understanding of Data Modeling and defining conceptual logical and physical

data models.  Big Data/analytics/information analysis/database management in the cloud

 IoT/event-driven/microservices in the cloud- Experience with private and public cloud

architectures, pros/cons, and migration considerations.  Ability to remain up to date with industry standards and technological advancements

that will enhance data quality and reliability to advance strategic initiatives

 Working knowledge of RESTful APIs, OAuth2 authorization framework and security

best practices for API Gateways

 Guide customers in transforming big data projects, including development and

deployment of big data and AI applications

 Guide customers on Data engineering best practices, provide proof of concept, architect solutions and collaborate when needed

 2+ years of hands-on experience designing and implementing multi-tenant solutions

using AWS/Azure/GCP Databricks for data governance, data pipelines for near real-

time data warehouse, and machine learning solutions.  Over all 5+ years' experience in a software development, data engineering, or data

analytics field using Python, PySpark, Scala, Spark, Java, or equivalent technologies.  hands-on expertise in Apache SparkTM (Scala or Python)

 3+ years of experience working in query tuning, performance tuning, troubleshooting, and debugging Spark and other big data solutions.  Bachelor's or Master's degree in Big Data, Computer Science, Engineering, Mathematics, or similar area of study or equivalent work experience

 Ability to manage competing priorities in a fast-paced environment

 Ability to resolve issues

 Basic experience with or knowledge of agile methodologies

 AWS Certified: Solutions Architect Professional

 Databricks Certified Associate Developer for Apache Spark

 Microsoft Certified: Azure Data Engineer Associate

 GCP Certified: Professional Google Cloud Certified

• Circuit Design (Schematic Entry), Digital, Analog & Power.
• High-speed PCB Layout Design, up to 8-Layer, routing high current tracks (up to 30A)
• Experience on “Altium Designer” will be added advantage.
• Experience with ARM processors & AVR Controllers will be preferred.
• Preparing Design and test procedure documentation.
• System integration and Testing.
• Hardware Troubleshooting.
• Awareness of PCB Fabrication & assembly Processes.
• Awareness for component procurement, finding substitutes.
• Design transfer to production by defining production processes.
• Assist production for optimizing operations components sourcing, troubleshooting.
• Interact with PCB Design team.
• Interact with hardware team/consultants in India, USA
• Should have leadership qualities for handling a team.
• Communication with Component manufacturers/vendors for part choices & design support.
• Preparing documentation for design, for design transfer to production, for submittal to various labs for certifications
• B.E (Electronics and communication, Instrumentation and Electronics, E.E.E)