CodeChavo
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1 to 50 Employees · New York, US
Hiring: Engineering
What employees say
+ Commitment to delivering high-quality software products that drive business growth. Flexible work environment with supportive leadership and opportunities for professional growth.
− Nothing to say anything every thing is good
More reviews on the company profile.
Job description
Overview
Company DescriptionCodeChavo is a trusted IT staffing and services provider, supporting top brands across India and the US with tailored staffing and innovative solutions.
Responsibilities
- Data & Feature Engineering
- Build scalable data pipelines for structured and unstructured data, Develop feature engineering frameworks and reusable feature stores, Implement data quality and validation frameworks.Machine Learning Model Development
- Develop and operationalize models across areas such as
- Demand Forecasting, Demand Sensing, Customer Churn Prediction, Price Elasticity Modeling, Recommendation Systems, Classification Models, Regression Models, Time Series Forecasting, Optimization Models, NLP ModelsAI Application Development
- Develop AI-powered business applications and decision-support systems, Create APIs and microservices for model serving, Build user-facing applications using AI frameworks, Develop model inference services and scoring engines.MLOps & Platform Engineering
- Design and implement CI/CD pipelines for ML, Develop model versioning and experiment tracking frameworks, Build automated retraining pipelines, Create model deployment workflows across cloud and on-prem environments.Model Monitoring & Governance
- Implement monitoring for
- Model Drift, Data Drift, Concept Drift, Performance Degradation, Explainability, Fairness, Bias DetectionPlatform Development
- Contribute to enterprise AI/ML platforms, Build reusable ML services and accelerators, Develop monitoring dashboards and governance workflows.Technical SkillsMachine Learning
- Scikit-learn, XGBoost, LightGBM, CatBoost, TensorFlow, PyTorchData Engineering
- SQL, PySpark, Databricks, Apache Spark, Airflow, BigQueryMLOps
- MLflow, Kubeflow, SageMaker, Vertex AI, Azure ML, DatabricksProgramming
- Python, FastAPI,Flask, REST APIsCloud Platforms
- Azure, AWS, GCPContainers & DevOps
- Docker, Kubernetes, Terraform, GitHub Actions, JenkinsPreferred QualificationsExperience developing enterprise AI products.Experience working with end-to-end AI/ML platforms.Exposure to MLOPS and LLMOps.Understanding of feature stores and model registries.Experience in deploying scalable ML systems in production.
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Job application FAQ
Last updated 7 October 2026
- How do I apply for ML Engineer – AI/ML Platform & MLOps at CodeChavo?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. CodeChavo may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this ML Engineer – AI/ML Platform & MLOps role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is ML Engineer – AI/ML Platform & MLOps remote or on-site in Noida, Uttar Pradesh?
- This listing is marked on_site with location Noida, Uttar Pradesh. Confirm details on the job description before applying.
- What skills matter for this ML Engineer – AI/ML Platform & MLOps role at CodeChavo?
- This is a mid-level ML Engineer – AI/ML Platform & MLOps role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.