Ai Ml Engineer

Techno Facts Solutions

5 - 8 years

10 - 20 Lacs

bengaluru

Posted:-1 days ago| Platform:

Apply

Skills Required

eda aiml tensorflow pyspark exploratory data analysis ml libraries artificial intelligence natural language processing machine learning ml algorithms deep learning ai algorithms xgboost python ml

Work Mode

Hybrid

Job Type

Full Time

Job Description

Job Title: Data & MLOps Engineer Python, PySpark, ML

Location:

Job Summary

Data & MLOps Engineer

Mandatory Skills

Programming
: Python, PySpark, SQL
Machine Learning
: Traditional ML algorithms, model training/retraining
MLOps
: MLflow, Kubeflow, Vertex AI
Big Data
: Hadoop (HDFS, Hive, MapReduce), Spark
Cloud Platforms
: AWS, Azure, GCP
Version Control
: Git
Data Visualization
: Superset, Druid
Orchestration Tools
: Apache Airflow, Oozie, NiFi

Roles & Responsibilities

Build and maintain
data ingestion, transformation, and feature engineering pipelines
Conduct
experiments, EDA, and statistical analysis
to fine-tune models
Ensure pipelines are
robust, scalable, and compliant
with data governance
Collaborate with data scientists to translate model requirements into engineering solutions
Implement and manage
CI/CD pipelines
for ML models and data workflows
Monitor model performance, data quality, and system health in production
Champion
best practices
in MLOps and data engineering
Stay updated with
latest AI/ML technologies and frameworks

Preferred Skills

Forecasting Algorithms
: ARIMA, Prophet, GLM, GBDT, XGBoost, Seq2Seq, Transformer
Retail Forecasting
or other time series prediction experience
Cloud Data Tools
: BigQuery, Trino, Presto
Model Lifecycle Management
: MLflow, Vertex AI
Monitoring & Drift Detection
: Pipeline and model health tracking

Mock Interview

Practice Video Interview with JobPe AI

Start PySpark Interview

Start Your Job Search Today

Browse through a variety of job opportunities tailored to your skills and preferences. Filter by location, experience, salary, and more to find your perfect fit.