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AI/ML Software Engineer

Actively Reviewing the Applications

Channel Factory

India, Maharashtra, Mumbai Full-Time On-site
Posted 3 weeks ago • Apply by June 3, 2026

Job Description

Responsibilities

  • Build and implement AI/ML features end-to-end: data ingestion, feature

engineering, model training, evaluation, and deployment

  • Develop and maintain RAG pipelines and LLM-powered applications using vector

stores, embeddings, and orchestration frameworks

  • Create AI agents and integrations using Model Context Protocol (MCP) to

connect LLMs with internal tools and data sources

  • Build classification models for brand safety, fraud detection, and content

categorization to improve targeting and reporting

  • Train prediction and optimization models for adtech/martech needs including

CTR prediction, conversion forecasting, pricing optimization, and campaign

performance

  • Develop backend services in Python that expose AI capabilities via APIs to

product and frontend teams

  • Experiment with different model architectures (tree-based, neural networks,

LLMs) and evaluate trade-offs on accuracy, latency, and cost

  • Implement monitoring and evaluation systems, including A/B tests, metrics

tracking, and model performance dashboards

  • Collaborate with data, platform, and product teams to integrate AI/ML solutions

into core workflows

  • Stay current with the AI/ML ecosystem and bring practical ideas to the team

Qualifications

  • Bachelor or Master's degree in Computer Science, Statistics, Mathematics,

Engineering, or related field

  • 2-5 years of professional experience in software engineering, ML engineering, or

data science

  • Strong proficiency in Python and experience with ML frameworks (scikit-learn,

XGBoost, PyTorch, TensorFlow, or similar)

  • Hands-on experience building applications with LLMs, prompt engineering, and

RAG patterns

  • Solid understanding of machine learning fundamentals, statistics, and model

evaluation

  • Experience with SQL and working with structured/unstructured data at scale
  • Familiarity with APIs, backend development, and software engineering best

practices (Git, testing, CI/CD)

  • Understanding of cloud platforms (AWS, GCP, or Azure) and containerization
  • Experience with vector databases, search technologies, or big data tools (Spark,

Airflow, Kafka) is a plus

  • Exposure to adtech/martech domains (advertising, marketing analytics,

campaign optimization) is a plus

  • Strong communication skills and comfort working in a distributed, cross-

functional team

  • Flexible with working hours to enable collaboration across time zones

Must have skills

  • python
  • ML Frameworks
  • SQL
  • RAG Patterns
  • API's
  • Backend Developmet
  • Git, testing, CI/CD
  • Adtech

Good to have skills

  • Spark
  • Airflow
  • Kafka
  • Martech
  • Cloud Platforms
  • AWS
  • GCP
  • Azure

Required Skills

Machine Learning Engineering Git Python Cloud Platforms Spark Kafka Scikit-learn Neural Networks Azure Testing Statistics Marketing Analytics Mathematics Software engineering Computer Science
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