AI-ML Engineer

KanthamAi; Mumbai; On-site; INR 2,000,000 - 3,000,000; Full time

Job summary

KanthamAi is seeking a Senior AI/ML Engineer to build and scale an AI/ML platform that includes model lifecycle management and high-performance data processing. The ideal candidate will have at least 7 years of software engineering experience, with strong expertise in Python and Java, and experience in building ML platforms. Additional skills in distributed systems, cloud infrastructure, and MLOps tools are preferred. This position offers a dynamic environment surrounded by data scientists and product teams, while mentoring junior engineers.

Qualifications

• 7+ years of software engineering experience.
• Experience building ML platforms or data platforms.
• Hands-on experience with cloud infrastructure (AWS / GCP / Azure).

Responsibilities

• Design and build AI/ML platform services using Python.
• Develop backend systems for model registry and versioning.
• Optimize systems for performance, scalability, and cost efficiency.

Skills

Python

Java

ML platforms

distributed systems

cloud infrastructure

Tools

Docker

SQL

NoSQL databases

Job description

We are seeking a Senior AI/ML Engineer to help build and scale an AI/ML platform that powers model training, evaluation, deployment, and inference at scale. This role is ideal for engineers who enjoy working at the intersection of backend systems, data infrastructure, and machine learning workflows.

You will design platform services that support model lifecycle management, large-scale data processing, and low-latency inference, while collaborating closely with ML researchers, data scientists, and product teams.

Key Responsibilities

• Design and build AI/ML platform services using Python
• Develop backend systems for model registry and versioning, experiment tracking, and batch and real-time inference
• Build and maintain scalable microservices and APIs for ML workflows
• Enable MLOps best practices: reproducibility, monitoring, and governance
• Optimize systems for performance, scalability, and cost efficiency
• Collaborate with ML engineers to productionize models
• Mentor engineers and lead design reviews
• Ensure platform reliability, security, and observability

Required Qualifications

• 7+ years of software engineering experience
• Strong expertise in Python (ML pipelines, data processing, APIs)
• Strong expertise in Java (platform services, orchestration, scalability)
• Experience building ML platforms or data platforms
• Experience with distributed systems and microservices
• Strong understanding of data structures, algorithms, and system design
• Experience with SQL and NoSQL databases
• Hands‑on experience with cloud infrastructure (AWS / GCP / Azure)
• Experience with Docker and container‑based deployments

Preferred / Nice-to-Have Skills

• Experience with MLOps tools (MLflow, Kubeflow, Airflow, Flyte, Argo)
• Knowledge of LLM systems (fine‑tuning, inference optimization, embeddings)
• Experience with vector databases (FAISS, Milvus, Weaviate, OpenSearch)
• Familiarity with model monitoring and drift detection
• Experience with streaming systems (Kafka, Pulsar)
• Exposure to GPU workloads and performance optimization
• Understanding of data privacy, model governance, and explainability