Machine Learning

Job Summary

We are seeking a motivated Data Engineer with strong skills in SQL, Python, and Linux to design, build, and maintain scalable data pipelines and support data-driven decision-making. The ideal candidate should have experience working with large datasets, ETL processes, and relational databases while ensuring data quality and performance.

Key Responsibilities

• Design, develop, and maintain ETL/ELT data pipelines.
• Write optimized SQL queries, stored procedures, and database objects.
• Develop Python scripts for data extraction, transformation, and automation.
• Work in Linux environments to manage scripts, cron jobs, and system processes.
• Monitor and troubleshoot data pipeline failures.
• Ensure data integrity, consistency, and quality across systems.
• Collaborate with data analysts, software engineers, and business stakeholders.
• Optimize database performance and query execution.
• Participate in code reviews and follow best engineering practices.

Required Skills

• Strong proficiency in SQL (joins, subqueries, window functions, CTEs, indexing, query optimization).
• Good programming experience in Python.
• Hands-on experience with Linux commands and shell scripting.
• Understanding of ETL/ELT concepts and data warehousing.
• Knowledge of relational databases such as PostgreSQL, MySQL, Oracle, or SQL Server.
• Familiarity with Git for version control.
• Strong problem-solving and analytical skills.

Position: Robotics Intern

Location: Chandkheda, Ahmedabad (Fx31Labs Office)

Duration: 3–6 Months

Stipend: Rs.5,000 / Per month

Job Description:

We are seeking a passionate Robotics Intern to join our advanced robotics team. This internship offers a fast-paced, end-to-end engineering experience involving aerial robotics, embedded systems, autonomous navigation, perception, and real-world prototype development.

This role is ideal for students and early-career engineers looking to gain practical experience in designing, building, testing, and improving autonomous robotic platforms.

Key Responsibilities:

Design & Build

• Assemble and integrate motors, ESCs, sensors, flight controllers, microcontrollers, and communication modules.
• Design and prototype electronic systems for rapid testing and development.
• Assist in mechanical assembly, wiring, and hardware integration of robotic platforms.

Embedded Systems & Control

• Develop Python and C/C++ software for sensor integration, control systems, and autonomous behaviours.
• Interface with hardware and wireless communication protocols.
• Implement safety mechanisms, telemetry systems, and fault-detection routines.

Autonomous Navigation & Perception

• Integrate sensors such as IMUs, GPS, LiDAR, cameras, depth sensors, and range finders.
• Develop and test localization, navigation, and obstacle-avoidance capabilities.
• Work with computer vision and perception pipelines for environmental awareness.

ROS 2 & SLAM

• Implement and tune SLAM and localization frameworks using ROS 2.
• Work with tools such as Cartographer, RTAB-Map, Nav2, and related autonomy stacks.

System Integration & Testing

• Integrate hardware, firmware, and software into a fully functional robotic system.
• Perform debugging, troubleshooting, and validation across electronics, software, and mechanical subsystems.
• Conduct field testing and analyse system performance.

Rapid Prototyping & Iteration

• Build, test, evaluate, and refine prototypes through iterative development cycles.
• Contribute innovative ideas to improve system reliability and performance.

Qualifications:

• Pursuing or recently completed a Bachelor's degree in Robotics, Mechatronics, Electronics, Electrical Engineering, Computer Science, Aerospace Engineering, or a related field.
• Hands-on experience with robotics, embedded systems or related projects.
• Proficiency in Python and basic C/C++ programming.
• Understanding of sensors, control systems, communication protocols, and microcontroller-based development.
• Experience with hardware assembly, wiring, debugging, and soldering.
• Comfortable working on both software and physical hardware systems.

Why Join Us?

• End-to-End Engineering Experience
• Advanced Robotics Exposure
• Learning & Mentorship
• Innovation-Driven Environment

The requirements are as follows:

1) Familiar with the the Django REST API Framework.

2) Experience with the FAST API framework will be a plus

3) Strong grasp of basic python programming concepts ( We do ask a lot of questions on this on our interviews :) )

4) Experience with databases like MongoDB , Postgres , Elasticsearch , REDIS will be a plus

5) Experience with any ML library will be a plus.

6) Familiarity with using git , writing unit test cases for all code written and CI/CD concepts will be a plus as well.

7) Familiar with basic code patterns like MVC.

8) Grasp on basic data structures.

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Key Responsibilities

· Advanced ML & Deep Learning: Design, develop, and deploy end-to-end Machine Learning models for Content Recommendation Engines, Churn Prediction, and Customer Lifetime Value (CLV).

· Generative AI Implementation: Prototype and integrate GenAI solutions (using LLMs like Gemini/GPT) for automated Metadata Tagging, Script Summarization, or AI-driven Chatbots for viewer engagement.

· Develop and maintain high-scale video processing pipelines using Python, OpenCV, and FFmpeg to automate scene detection, ad-break identification, and visual feature extraction for content enrichment

· Cloud Orchestration: Utilize GCP (Vertex AI, BigQuery, Dataflow) to build scalable data pipelines and manage the full ML lifecycle (MLOps).

· Business Intelligence & Storytelling: Create high-impact, automated dashboards in to track KPIs for data-driven decision making

· Cross-functional Collaboration: Work closely with Product, Design, Engineering, Content, and Marketing teams to translate "viewership data" into "strategic growth."

Preferred Qualifications

· Experience in Media/OTT: Prior experience working with large scale data from broadcast channels, videos, streaming platforms or digital ad-tech.

· Education: Master’s/Bachelor’s degree in a quantitative field (Computer Science, Statistics, Mathematics, or Data Science).

· Product Mindset: Ability to not just build a model, but to understand the business implications of the solution.

· Communication: Exceptional ability to explain "Neural Network outputs" to a "Creative Content Producer" in simple terms.

What you’ll do here:

•Lead the technical implementation of our platform using Python for new and existing clients

•Collaborate with internal teams to deliver seamless onboarding experiences for our clients.

•Translate business use-cases into scalable, secure, and maintainable technical solutions

•Own the technical relationship with clients, acting as a trusted advisor throughout the implementation lifecycle

•Conduct code reviews, enforce best practices, and ensure high-quality deliverables

•Mentor developers and contribute to internal tooling and automation

•Troubleshoot and resolve complex integration issues across cloud environments

What you will need to thrive:

•8+ years of software development experience.

•Strong proficiency in Python (preferred), C# .NET, or C/C++.

•Proven track record of leading technical implementations for enterprise clients.

•Deep understanding of Pandas, Numpy, RESTful APIs, webhooks, and data transformation pipelines.

•Excellent communication and stakeholder management skills.

Role Overview:

We are seeking a Senior Software Engineer (SSE) with strong expertise in Kafka, Python, and Azure Databricks to lead and contribute to our healthcare data engineering initiatives. This role is pivotal in building scalable, real-time data pipelines and processing large-scale healthcare datasets in a secure and compliant cloud environment.

The ideal candidate will have a solid background in real-time streaming, big data processing, and cloud platforms, along with strong leadership and stakeholder engagement capabilities.

Key Responsibilities:

• Design and develop scalable real-time data streaming solutions using Apache Kafka and Python.
• Architect and implement ETL/ELT pipelines using Azure Databricks for both structured and unstructured healthcare data.
• Optimize and maintain Kafka applications, Python scripts, and Databricks workflows to ensure performance and reliability.
• Ensure data integrity, security, and compliance with healthcare standards such as HIPAA and HITRUST.
• Collaborate with data scientists, analysts, and business stakeholders to gather requirements and translate them into robust data solutions.
• Mentor junior engineers, perform code reviews, and promote engineering best practices.
• Stay current with evolving technologies in cloud, big data, and healthcare data standards.
• Contribute to the development of CI/CD pipelines and containerized environments (Docker, Kubernetes).

Required Skills & Qualifications:

• 4+ years of hands-on experience in data engineering roles.
• Strong proficiency in Kafka (including Kafka Streams, Kafka Connect, Schema Registry).
• Proficient in Python for data processing and automation.
• Experience with Azure Databricks (or readiness to ramp up quickly).
• Solid understanding of cloud platforms, with a preference for Azure (AWS/GCP is a plus).
• Strong knowledge of SQL and NoSQL databases; data modeling for large-scale systems.
• Familiarity with containerization tools like Docker and orchestration using Kubernetes.
• Exposure to CI/CD pipelines for data applications.
• Prior experience with healthcare datasets (EHR, HL7, FHIR, claims data) is highly desirable.
• Excellent problem-solving abilities and a proactive mindset.
• Strong communication and interpersonal skills to work in cross-functional teams.

• Must have a PHP experience, a fullstack developer will also do
• Experience - 3-6 years
• No. of vacancies - 6
• Salary - 40k-70k in hand
• B.Tech/M.Tech from any college will do