AI/ML Data Science Engineer
Posted on August 18, 2025
Job Description
- JD: *AI/ML Data Science Engineer*
- Exp Range: *5 to 8 yrs*
- We are seeking a Data Science Engineer to design, build, and optimize scalable data and machine learning systems. This role requires strong software engineering skills, a deep understanding of data science workflows, and the ability to work cross-functionally to translate business problems into production-level data solutions.
- *Note: Candidate should not be from Telangana or AP.*
- Key Responsibilities: ?
- Design, implement, and maintain data science pipelines from data ingestion to model deployment. ?
- Collaborate with data scientists to operationalize ML models and algorithms in production environments. ?
- Develop robust APIs and services for ML model inference and integration. ?
- Build and optimize large-scale data processing systems using Spark, Pandas, or similar tools. ?
- Ensure data quality and pipeline reliability through rigorous testing, validation, and monitoring. ?
- Work with cloud infrastructure (AWS) for scalable ML deployment. ?
- Manage model versioning, feature engineering workflows, and experiment tracking. ?
- Optimize performance of models and pipelines for latency, cost, and throughput.
- Required Qualifications: ?
- Bachelor�s or Master�s degree in Computer Science, Data Science, Engineering, or a related field. ?
- 5+ years of experience in a data science, ML engineering, or software engineering role. ?
- Proficiency in Python (preferred) and SQL; knowledge of Java, Scala, or C++ is a plus. ?
- Experience with data science libraries like Scikit-learn, XGBoost, TensorFlow, or PyTorch. ?
- Familiarity with ML deployment tools such as ML flow, Sage Maker, or Vertex AI. ?
- Solid understanding of data structures, algorithms, and software engineering best practices. ?
- Experience working with databases (SQL, NoSQL) and data lakes (e.g., Delta Lake, BigQuery).
- Preferred Qualifications: ?
- Experience with containerization and orchestration (Docker, Kubernetes). ?
- Experience working in Agile or cross-functional teams. ?
- Familiarity with streaming data platforms (Kafka, Spark Streaming, Flink).
- Soft Skills: ?
- Strong communication skills to bridge technical and business teams. ?
- Excellent problem-solving and analytical thinking. ?
- Self-motivated and capable of working independently or within a team. ?
- Passion for data and a curiosity-driven mindset. Mandatory
- Skills:
- Data Science and Machine Learning ?
- SQL ?
- Python ?
- AWS Cloud ?
- Scala ?
- Agile ?
- Develops
Required Skills
data science and machine learning ? sql ? python ? aws cloud ? scala ? agile ? develops