Lead-Infrastructure

Bengaluru - India

Monthly Salary: Not Disclosed

Posted on: 12 hours ago

Vacancies: 1 Vacancy

Job Summary

We are seeking an experienced AI and Data Science Engineer with a solid foundation in Java programming and SQL-based data management. The ideal candidate will design develop and deploy scalable AI-driven applications and data pipelines integrating predictive analytics into enterprise systems.

Design & Develop AI/ML Solutions:
- Build and deploy predictive and prescriptive models using Python TensorFlow PyTorch or similar frameworks.
- Work on NLP computer vision recommendation systems or other applied AI projects.
Data Engineering & Analytics:
- Develop and optimize data ingestion transformation and analysis pipelines.
- Use SQL and Java to process clean and analyze large structured/unstructured datasets.
- Integrate data-driven models into enterprise applications.
Software Development:
- Build backend components and APIs using Java (Spring Boot or similar frameworks).
- Collaborate with DevOps teams to deploy models into production environments.
Business Problem Solving:
- Work closely with business teams to understand objectives and translate them into AI/ML solutions.
- Generate insights from data to support data-driven decision-making.
Performance Optimization & Monitoring:
- Tune model accuracy and application performance.
- Automate model retraining and monitoring pipelines.

Qualifications :

Experience Required: 5 to 8 years
Education:
- Bachelors or Masters degree in Computer Science Data Science Artificial Intelligence or a related field.
Core Technical Skills:
- AI / ML: Scikit-learn TensorFlow Keras PyTorch NLP frameworks.
- Programming: Strong in Java good proficiency in Python and SQL.
- Data Handling: Experience with relational databases (MySQL PostgreSQL Oracle) and data visualization tools (Power BI Tableau or Matplotlib).
- APIs & Integration: RESTful API development and integration of ML models with Java applications.
- Big Data (Optional but Preferred): Exposure to Spark Hadoop or Kafka.
Soft Skills:
- Strong problem-solving and analytical thinking.
- Excellent communication and teamwork skills.
- Ability to mentor junior team members and collaborate in cross-functional teams.
Preferred Experience:
Experience in AI project lifecycle data preparation model building deployment and monitoring.
Experience with MLOps tools (MLflow Kubeflow Docker etc.).
Familiarity with cloud platforms like AWS Azure or GCP.
Experience working in Agile environments.

Additional Information :

All your information will be kept confidential according to EEO guidelines.

Remote Work :

Yes

Employment Type :

Full-time

We are seeking an experienced AI and Data Science Engineer with a solid foundation in Java programming and SQL-based data management. The ideal candidate will design develop and deploy scalable AI-driven applications and data pipelines integrating predictive analytics into enterprise systems.Design ...

Design & Develop AI/ML Solutions:
- Build and deploy predictive and prescriptive models using Python TensorFlow PyTorch or similar frameworks.
- Work on NLP computer vision recommendation systems or other applied AI projects.
Data Engineering & Analytics:
- Develop and optimize data ingestion transformation and analysis pipelines.
- Use SQL and Java to process clean and analyze large structured/unstructured datasets.
- Integrate data-driven models into enterprise applications.
Software Development:
- Build backend components and APIs using Java (Spring Boot or similar frameworks).
- Collaborate with DevOps teams to deploy models into production environments.
Business Problem Solving:
- Work closely with business teams to understand objectives and translate them into AI/ML solutions.
- Generate insights from data to support data-driven decision-making.
Performance Optimization & Monitoring:
- Tune model accuracy and application performance.
- Automate model retraining and monitoring pipelines.

Qualifications :

Experience Required: 5 to 8 years
Education:
- Bachelors or Masters degree in Computer Science Data Science Artificial Intelligence or a related field.
Core Technical Skills:
- AI / ML: Scikit-learn TensorFlow Keras PyTorch NLP frameworks.
- Programming: Strong in Java good proficiency in Python and SQL.
- Data Handling: Experience with relational databases (MySQL PostgreSQL Oracle) and data visualization tools (Power BI Tableau or Matplotlib).
- APIs & Integration: RESTful API development and integration of ML models with Java applications.
- Big Data (Optional but Preferred): Exposure to Spark Hadoop or Kafka.
Soft Skills:
- Strong problem-solving and analytical thinking.
- Excellent communication and teamwork skills.
- Ability to mentor junior team members and collaborate in cross-functional teams.
Preferred Experience:
Experience in AI project lifecycle data preparation model building deployment and monitoring.
Experience with MLOps tools (MLflow Kubeflow Docker etc.).
Familiarity with cloud platforms like AWS Azure or GCP.
Experience working in Agile environments.

Additional Information :

All your information will be kept confidential according to EEO guidelines.

Remote Work :

Yes

Employment Type :

Full-time

Key Skills

Ruby
Disaster Recovery
Active Directory
SOA
Cloud
IaaS
PowerShell
AWS
Infrastructure
Linux
VPN
Hyper-V
VM
IP
Identity

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