Python Content Developer - AI/ML Specialist

About iamneo
Founded in 2016 and now part of the NIIT family, iamneo is a fast-growing, profitable B2B EdTech SaaS company redefining how tech talent is upskilled, assessed, and deployed.

Our AI-powered learning and assessment platforms empower enterprises and educational institutions to build future-ready talent at scale. We work with leading corporates like LTIMindtree, Virtusa, Tech Mahindra, and Hexaware, and partner with 150+ institutions including VIT, SRM, LPU, Sri Krishna Institutions, and Manipal.

As part of NIIT s 40+ year legacy in learning and talent development, we bring together deep global expertise with an AI-first, product-driven approach to modern workforce transformation.

If you re passionate about storytelling, building relationships, and driving on-ground impact, this role is for you.

About Role:

We are seeking a skilled Python Content Developer with strong expertise in Artificial Intelligence (AI) and Machine Learning (ML) to design and create high-quality learning materials, tutorials, projects, and assessments. You will translate complex AI/ML concepts into engaging, easy-to-understand content for learners ranging from beginners to advanced professionals. This role involves working with distributed systems, cloud platforms, and modern data frameworks to support real-time and batch data pipelines. The above-mentioned skillsets or roles used for creating content and labs.

• Work with Python, Apache Spark, Hadoop, and Kafka to build efficient data processing solutions.


• Keep material current with the latest Python releases, AI/ML frameworks, and industry best practices.


• Implement data lakes, data warehouses, and streaming architectures.


• Optimize database and query performance for large-scale datasets.


• Collaborate with SMEs, Clients, and software engineers to deliver content.


• Ensure data security, governance, and compliance with industry standards.


• Automate workflows using Apache Airflow or other orchestration tools.


• Monitor and troubleshoot data pipelines to ensure reliability and scalability.

• Minimum educational qualifications: B.E., Bsc, Msc, MCA


• Experience requirements

1. Proficiency in Python, Java, or Scala for data processing.


2. Familiarity with machine learning pipelines and AI-driven analytics.


3. Hands-on experience with Apache Spark, Hadoop, Kafka, Flink, Storm.


4. Hands-on experience on working with SQL and NoSQL databases.


5. Strong expertise in cloud-based data solutions (AWS / Google / Azure).


6. Hands-on experience in building and managing ETL/ELT pipelines.


7. Knowledge of containerization and orchestration Docker or K8S.


8. Hands-on of real-time data streaming and serverless data processing.


9. Strong understanding of CI/CD & ETL pipelines for data workflows.

• Big Data Technologies: Apache Spark, Hadoop, Kafka, Flink, Storm


• Cloud Platforms: AWS / Google / Azure


• Programming Languages: Python, Java, Scala, SQL, PySpark


• Data Storage & Processing: Data Lakes, Warehouses, ETL/ELT Pipelines


• Orchestration: Apache Airflow, Prefect, Dagster


• Databases: SQL (PostgreSQL, MySQL), NoSQL (MongoDB, Cassandra)


• Security & Compliance: IAM, Data Governance, Encryption


• DevOps Tools: Docker, Kubernetes, Terraform, CI/CD Pipelines

• Strong problem-solving and analytical skills


• Excellent communication and collaboration abilities


• Ability to work in an agile, fast-paced environment


• Attention to detail and data accuracy


• Self-motivated and proactive