TalentAQ

TalentAQ

Senior AI/ML Engineer

EngineeringFull Time8+ years

Required Skills
39 skills

Machine Learning
Deep Learning
PyTorch
TensorFlow
Scikit-learn
NLP
Computer Vision
Time Series Forecasting
Model Deployment
MLOps
MLflow
Airflow
Docker
Kubernetes
Experiment tracking
CI/CD
ETL
ELT
Apache Spark
dbt
Data warehousing
Redshift
BigQuery
Snowflake
Streaming data
Kafka
Spark Streaming
SQL
Python
Scala
Data architecture
AWS
S3
EC2
SageMaker
Glue
GCP
Vertex AI
Azure

Job Description

<h3>Job Overview</h3><p>We are seeking a highly skilled and experienced Senior AI/ML Engineer to join our dynamic team. In this role, you will be responsible for designing, developing, and deploying advanced AI and machine learning models to solve complex business problems. You will work closely with cross-functional teams to deliver innovative solutions that drive business growth.</p><h3>Key Responsibilities</h3><ul><li>Design and implement scalable AI/ML solutions using state-of-the-art techniques.</li><li>Develop and maintain machine learning models using PyTorch, TensorFlow, and Scikit-learn.</li><li>Build and optimize ETL/ELT pipelines using Apache Spark, Airflow, and dbt.</li><li>Deploy and monitor ML models using MLOps tools such as MLflow, Airflow, Docker, and Kubernetes.</li><li>Collaborate with data scientists, data engineers, and business stakeholders to deliver impactful AI solutions.</li></ul><h3>Required Skills</h3><ul><li>Proficiency in Machine Learning, Deep Learning, and NLP.</li><li>Experience with cloud platforms such as AWS, GCP, or Azure.</li><li>Strong skills in Python, Scala, and SQL.</li><li>Experience with data warehousing solutions like Redshift, BigQuery, or Snowflake.</li></ul>

Job Overview

We are seeking a highly skilled and experienced Senior AI/ML Engineer to join our dynamic team. In this role, you will be responsible for designing, developing, and deploying advanced AI and machine learning models to solve complex business problems. You will work closely with cross-functional teams to deliver innovative solutions that drive business growth.

Key Responsibilities

  • Design and implement scalable AI/ML solutions using state-of-the-art techniques.
  • Develop and maintain machine learning models using PyTorch, TensorFlow, and Scikit-learn.
  • Build and optimize ETL/ELT pipelines using Apache Spark, Airflow, and dbt.
  • Deploy and monitor ML models using MLOps tools such as MLflow, Airflow, Docker, and Kubernetes.
  • Collaborate with data scientists, data engineers, and business stakeholders to deliver impactful AI solutions.

Required Skills

  • Proficiency in Machine Learning, Deep Learning, and NLP.
  • Experience with cloud platforms such as AWS, GCP, or Azure.
  • Strong skills in Python, Scala, and SQL.
  • Experience with data warehousing solutions like Redshift, BigQuery, or Snowflake.

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