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 LearningPythonSQLAWS CloudScalaAgile MethodologiesCI / 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)