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Sutherland

Lead Infrastructure

Remote Bengaluru, KA
Java SQL Python TensorFlow PyTorch Keras Scikit-learn API Spring Boot MySQL PostgreSQL Oracle Power BI Tableau Matplotlib Spark Hadoop Kafka MLOps Docker AWS Azure GCP
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Description

Lead-Infrastructure

Location: Bengaluru, //KA, in, Remote

Job Description

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:

    • Bachelor’s or Master’s 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.

Sutherland
Sutherland

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