Software Engineer (AI/ML)

Job Responsibilities:

• Familiarity with cloud platforms (AWS, GCP, Azure) and their data services.
• Knowledge of containerization and orchestration tools like Docker and Kubernetes.
• Proficiency in CI/CD pipelines and version control systems (Git).
• Strong problem-solving skills and the ability to design innovative solutions for complex

challenges.

Secondary Skills:

Demonstrated experience in at least one of the following domains:

• MLOps: Experience with tools like TensorFlow Extended (TFX), MLflow, or Kubeflow.
• Big Data: Proficiency in processing and managing large-scale data with tools such as Apache Spark,

Hadoop, or similar frameworks.

• Graph Databases: Hands-on experience with graph databases like Neo4j, ArangoDB, or AWS Neptune.
• Microservices: Expertise in building scalable and secure microservices using REST, gRPC, or GraphQL.
• Machine Learning Development: Knowledge of frameworks like TensorFlow, PyTorch, or Scikit-learn,

and experience deploying ML models into production.

Preferred Qualifications:

• MS or B.Tech in Computer Science or equivalent experience in ML.
• Experience working with distributed data and ML technologies (e.g. MapReduce, Spark, Flink, Kafka,

PySpark, SageMaker etc.).

• Experience dealing with real world large-scale datasets.
• Prior experience delivering end-to-end ML solutions, including data preparation, training, fine-tuning

and deployment or large models.