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Data Science Engineer - Artificial Intelligence / Machine Learning

Data Science Engineer - Artificial Intelligence / Machine Learning

WorkassistChennai
6 days ago
Job description

Job Title : AI / ML Data Science Engineer

Experience Range : 5 to 8 Years

Work Hours : IST

Job Overview :

We are seeking a highly skilled and motivated AI / ML Data Science Engineer to join our team.

In this role, you will be responsible for designing, building, and optimizing scalable data pipelines and machine learning systems.

The ideal candidate possesses a strong background in data science, software engineering, and cloud technologies, along with the ability to work cross-functionally to solve complex business problems with data-driven solutions.

Key Responsibilities :

  • Design, develop, and maintain robust data science pipelines from ingestion to model deployment.
  • Operationalize machine learning models in production environments in collaboration with data scientists.
  • Build scalable APIs and microservices for model inference and system integration.
  • Develop large-scale data processing systems using tools like Spark, Pandas, etc.
  • Ensure data integrity and reliability through automated testing, validation, and monitoring processes.
  • Leverage AWS cloud services for scalable model training and deployment.
  • Manage model versioning, feature engineering workflows, and ML experiment tracking.
  • Optimize ML systems for performance, cost-efficiency, and throughput.

Mandatory Skills :

  • Data Science and Machine Learning
  • Python
  • SQL
  • AWS Cloud
  • Scala
  • Agile Methodologies
  • CI / CD and DevOps (Develops)
  • Required Qualifications :

  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.
  • 5+ years of hands-on experience in data science, ML engineering, or software engineering roles.
  • Strong proficiency in Python and SQL.
  • Knowledge of Java, Scala, or C++ is a plus.
  • Experience with data science libraries and frameworks such as Scikit-learn, XGBoost, TensorFlow, PyTorch.
  • Familiarity with ML deployment tools such as MLflow, SageMaker, or Vertex AI.
  • Sound understanding of algorithms, data structures, and software engineering best practices.
  • Experience with relational (SQL) and non-relational (NoSQL) databases and modern data lake architectures (e.g., Delta Lake, BigQuery).
  • Preferred Qualifications :

  • Experience with containerization and orchestration tools such as Docker and Kubernetes.
  • Familiarity with real-time streaming platforms such as Kafka, Spark Streaming, or Flink.
  • Prior experience working in Agile and cross-functional team environments.
  • Soft Skills :

  • Strong verbal and written communication skills to effectively collaborate with technical and business stakeholders.
  • Excellent problem-solving and analytical skills.
  • Ability to work independently and as part of a collaborative team.
  • Curiosity-driven mindset and passion for data and innovation
  • (ref : hirist.tech)

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