Software Engineer - AI/ML
Mattel, Inc.2 days ago
Hyderābād, IndiaMid Level / Senior
Responsibilities
- Design, develop, evaluate, tune, validate, and monitor machine learning models for classification, regression, forecasting, clustering, recommendation, anomaly detection, and optimization.
- Build reusable and scalable ML pipelines and deep learning solutions using modern neural network architectures.
- Develop generative AI applications using LLMs, prompt engineering, RAG, embeddings, vector search, orchestration, function calling, agents, workflows, and fine-tuning where appropriate.
- Create evaluation frameworks and production guardrails for LLM applications, covering response quality, hallucination, groundedness, relevance, latency, and cost.
- Develop and deploy computer vision solutions for classification, detection, segmentation, OCR, document understanding, visual inspection, defect detection, and recognition.
- Solve supply-chain and operations problems including demand forecasting, inventory optimization, replenishment, logistics analytics, ETA prediction, warehouse analytics, and supplier risk.
- Collaborate with engineering teams to deploy models through APIs, batch pipelines, or real-time inference services.
- Apply software engineering practices including modular development, version control, testing, documentation, and code reviews.
Requirements
- Bachelor’s or master’s degree in Computer Science, Data Science, Machine Learning, Artificial Intelligence, Statistics, Mathematics, Engineering, or a related quantitative discipline.
- Approximately 4–7 years of relevant industry experience in Data Science, Machine Learning, or AI.
- Strong Python programming, SQL, data manipulation, statistical modeling, feature engineering, model evaluation, and end-to-end ML solution development experience.
- Hands-on experience with traditional machine learning, deep learning, generative AI, computer vision, or advanced deep learning, with the ability to work across these areas.
- Experience taking ML models beyond proof of concept into production or business adoption.
- Practical experience with at least one of Generative AI, Computer Vision, or advanced Deep Learning.
- Ability to select appropriate statistical, traditional ML, deep learning, computer vision, or GenAI approaches for business problems.
- Preferred experience includes supply chain, retail, consumer products, manufacturing, logistics, operations, production-grade RAG or enterprise GenAI, multimodal AI, optimization, large-scale forecasting, responsible AI, explainability, privacy, and AI governance.
- Experience with MLOps technologies such as Docker, CI/CD, MLflow, or Kubernetes is desirable.
- Experience with AWS, Azure, GCP, Databricks, Spark, or Snowflake is advantageous.
Benefits
- Flexible work model combining purposeful in-person collaboration with flexibility.
- Inclusive workplace and culture of belonging with equal employment opportunity.
- Collaborative, innovation-focused, purpose-driven work environment with opportunities to create impact.
Tech Stack
Apache SparkAWSAzureDatabricksDockerGoogle Cloud PlatformKubernetesLightGBMMLflowNumPyOpenCVPandasPythonPyTorchscikit-learnSnowflakeSQLTensorFlowXGBoost
Categories
About Mattel, Inc.
Mattel, Inc. is a global toy and family entertainment company that designs, manufactures, and licenses products under brands such as Barbie, Hot Wheels, Fisher-Price, American Girl, UNO, and Thomas & Friends. It sells through major retailers, e-commerce, and direct channels, and extends its franchises into content, consumer products, and live/digital experiences via licensing partnerships. Founded in 1945 and headquartered in El Segundo, California, the company operates worldwide.