Job Title : AI/ML Data Science Engineer.

Experience Range : 5 to 8 Years.

Location : Bangalore, Hyderabad, Chennai, Noida, Pune (Hybrid Weekly Office Visit)Contract to hire job role.

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.

Mode of Work : Hybrid (Candidate must be willing to work from office once a week).

Interview Process : Technical Assessments | Interviews | HR Round.