Data Science Engineer - Artificial Intelligence/Machine Learning

<p><p><b>Job Title : </b>AI/ML Data Science Engineer<br/><br/><b>Experience Range :</b> 5 to 8 Years<br/><br/>Work Hours : IST<br/><br/><b>Job Overview :</b><br/><br/>We are seeking a highly skilled and motivated AI/ML Data Science Engineer to join our team.<br/><br/>In this role, you will be responsible for designing, building, and optimizing scalable data pipelines and machine learning systems.<br/><br/>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.<br/><br/><b>Key Responsibilities :</b></p><p><p><b><br/></b></p>- Design, develop, and maintain robust data science pipelines from ingestion to model deployment.<br/><br/></p><p>- Operationalize machine learning models in production environments in collaboration with data scientists.<br/><br/></p><p>- Build scalable APIs and microservices for model inference and system integration.<br/><br/></p><p>- Develop large-scale data processing systems using tools like Spark, Pandas, etc.<br/><br/></p><p>- Ensure data integrity and reliability through automated testing, validation, and monitoring processes.<br/><br/></p><p>- Leverage AWS cloud services for scalable model training and deployment.<br/><br/></p><p>- Manage model versioning, feature engineering workflows, and ML experiment tracking.<br/><br/></p><p>- Optimize ML systems for performance, cost-efficiency, and throughput.<br/><br/><b>Mandatory Skills :</b></p><p><p><b><br/></b></p>- Data Science and Machine Learning<br/><br/></p><p>- Python<br/><br/></p><p>- SQL<br/><br/></p><p>- AWS Cloud<br/><br/></p><p>- Scala<br/><br/></p><p>- Agile Methodologies<br/><br/></p><p>- CI/CD and DevOps (Develops)<br/><br/><b>Required Qualifications :</b></p><p><p><b><br/></b></p>- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.<br/><br/></p><p>- 5+ years of hands-on experience in data science, ML engineering, or software engineering roles.<br/><br/></p><p>- Strong proficiency in Python and SQL.<br/><br/></p><p>- Knowledge of Java, Scala, or C++ is a plus.<br/><br/></p><p>- Experience with data science libraries and frameworks such as Scikit-learn, XGBoost, TensorFlow, PyTorch.<br/><br/></p><p>- Familiarity with ML deployment tools such as MLflow, SageMaker, or Vertex AI.<br/><br/></p><p>- Sound understanding of algorithms, data structures, and software engineering best practices.<br/><br/></p><p>- Experience with relational (SQL) and non-relational (NoSQL) databases and modern data lake architectures (e.g., Delta Lake, BigQuery).<br/><br/><b>Preferred Qualifications :</b></p><p><p><b><br/></b></p>- Experience with containerization and orchestration tools such as Docker and Kubernetes.<br/><br/></p><p>- Familiarity with real-time streaming platforms such as Kafka, Spark Streaming, or Flink.<br/><br/></p><p>- Prior experience working in Agile and cross-functional team environments.<br/><br/><b>Soft Skills :</b></p><p><p><b><br/></b></p>- Strong verbal and written communication skills to effectively collaborate with technical and business stakeholders.<br/><br/></p><p>- Excellent problem-solving and analytical skills.<br/><br/></p><p>- Ability to work independently and as part of a collaborative team.<br/><br/></p><p>- Curiosity-driven mindset and passion for data and innovation</p><br/></p> (ref:hirist.tech)