Senior Executive - Analytics (Business Intelligence)

4+ years of hands-on experience with Linux administration

 Proficiency in AWS services (EC2, S3, RDS, etc.).

Proficiency in kubernetes and should have knowledge of ArgoCD.

⦁ Should have exp with devops tools ( Jenkins, Docker, Github CI, Terraform, Kubernetes, etc.).

⦁ Strong scripting skills (Bash, Python).

⦁ Understanding of cloud computing concepts.

⦁ Excellent problem-solving and troubleshooting abilities.

⦁ Experience with configuration management tools (Ansible, Puppet, Chef).

⦁ Experience with monitoring and logging tools (ELK Stack, Prometheus, Grafana).

1.Pre-Flight Inspection:

● Conduct thorough pre-flight checks on the drone, including battery levels, sensors, propellers, and GPS calibration.

● Ensure all firmware and software are up to date for both the drone and remote controller.

● Verify that the drone is in optimal operating condition, including payload attachments, if applicable.

2.Flight Planning:

● Plan the flight route based on mission objectives, considering factors like altitude, weather conditions, and airspace regulations.

3.Safe and Efficient Flight Operations:

● Monitor drone telemetry data during flight (e.g., battery level, GPS signal, altitude, and speed).

● Ensure real-time communication with ground personnel and provide situational updates as necessary.

4.Emergency Procedures:

● Be prepared to handle emergencies such as low battery, lost GPS signal, or malfunctioning sensors.

● Execute safe and controlled emergency landings if required.

5.Post-Flight Data Handling:

● Safely retrieve the drone and perform a post-flight inspection, checking for any damage or malfunctions.

● Offload data collected during the flight, ensuring secure storage and proper labeling.

● Provide a detailed flight report, documenting any issues, flight conditions, and mission outcomes.

Minimum Requirement’s :

● must be 18+

● Must have at least 50hrs Flying experience.

● Should have knowledge of basic photography to handle camera settings for manual mode.

● Should have good smooth hand manipulation control with camera moments.

● Can keep his control calm in panic situations.

● A drone pilot should be familiar with drone hardware and software, including drone flight controls, GPS systems, and camera setups.

● Can take rapid decisions (depending on situations)

RESPONSIBILITIES:

• You will be involved in directly driving application of machine learning and AI to solve various product and business problems including ML model lifecycle management with ideation, experimentation, implementation, and maintenance.

• Your responsibilities will include enabling the team in moving forward with ML/AI solutions to optimise various components across our music streaming platforms.

• Your work would be impacting millions of users the way they consume music and podcasts, it would involve solving cold start problems, understanding user personas, optimising ranking and improving recommendations for serving relevant content to users.

• We are looking for a seasoned engineer to orchestrate our recommendations and discovery projects and also be involved in tech management within the team.

• The team of talented, passionate people in which you’ll work will include ML engineers and data scientists.

• You’ll be reporting directly to the head of the engineering and will be

instrumental in discussing and explaining the progress to top management and other stake holders.

• You’ll be expected to have regular conversations with product leads and other engineering leads to understand the requirements, and also similar and more frequent conversation with your own team.

REQUIREMENTS:

• A machine learning software engineer with a passion for working on exciting, user impacting product and business problems

• Stay updated with latest research in machine learning esp. recommender systems and audio signals

• Have taken scalable ML services to production, maintained and managed their lifecycle

• Good understanding of foundational mathematics associated with machine learning such as statistics, linear algebra, optimization, probabilistic models

Minimum Qualifications

• 13+ years of industry experience doing applied machine learning

• 5+ years of experience in tech team management

• Fluent in one or more object oriented languages like Python, C++, Java

• Knowledgeable about core CS concepts such as common data structures an algorithms

• Comfortable conducting design and code reviews

• Comfortable in formalising a product or business problem as a ML problem

• Master’s or PhD degree in Computer Science, Mathematics or related field

• Industry experience with large scale recommendation and ranking systems

• Experience in managing team of 10-15 engineers

• Hands on experience with Spark, Hive, Flask, Tensorflow, XGBoost, Airflow

• Excellent Written/Oral communication skills in English
• Minimum 6 years of development experience is required including but not limited to:
• Azure Logic Apps
• Azure Service Bus
• Azure Web/API Apps
• Azure Functions
• Azure SQL Database / Cosmos DB
• Minimum 6 years of experience in enterprise software development using .NET stack, including REST APIs, Web Applications and distributed systems
• Working knowledge of security best practices (e.g. OWASP)
• Experience in NoSQL data stores development is an asset

Nontechnical

• Excellent Written/Oral communication skills in English
• Quick learner
• Passionate for technical excellence
• Self-motivated worker, that can complete tasks under minimal supervision
• Ability to work under pressure
• Team Player
• Comfortable performing component demonstration in front of key business holders, PMs, and clients

Requirements:

• Design, develop and implement technical solutions in Microsoft Azure environments using .NET and other programming languages
• Work with business analysts and end-users to define system requirements
• Work with the functional testers to ensure accuracy and solution integrity
• Frequently communicate with users, and team members during program development to review progress and ensure that requirements have been met.
• Evaluate the best approach to solve problems
• Present solutions and recommendations to stakeholders.
• Provide technical training and mentoring to other teams and team members