Job Description:
Roles &Responsibilities;:
- Design, build, and maintain data pipelines and ETL/ELT workflows for structured and unstructured data sources.
- Develop, train, validate, and deploy machine learning and AI models using frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- Collaborate with data engineers, business analysts, and product managers to translate analytical requirements into production-grade models and APIs.
- Optimize data processing performance and model inference pipelines for scalability and cost-efficiency (preferably on cloud platforms such as AWS, Azure, or GCP).
- Work with data visualization and BI teams to enable analytics dashboards that surface insights from AI models.
- Ensure data quality, governance, and compliance with organizational and regulatory standards.
- Communicate complex technical outcomes to non-technical stakeholders with clarity and impact.

Required Skills and Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or related field.




- 2+ years of hands-on experience in Data Engineering, Machine Learning, or AI solution development.
- Proficiency in Python, SQL, and data manipulation libraries such as Pandas, NumPy, or PySpark.
- Experience with data pipelines using Airflow, Databricks, AWS Glue, or Apache Spark.
- Strong understanding of ML algorithms (supervised, unsupervised, NLP, deep learning) and experience with at least one deployment-ready framework (TensorFlow /PyTorch).
- Experience deploying models through REST APIs, containers (Docker, Kubernetes), or serverless platforms (AWS Lambda, Azure Functions).
- Familiarity with cloud-based data platforms – AWS (S3, Redshift, SageMaker),Azure (Synapse, ML Studio), or GCP (BigQuery, Vertex AI).
- Understanding of data governance, metadata management, and data security best practices.
- Robust communication and collaboration skills, capable of engaging with both business and technical teams.
- Proven ability to deliver i

📌 AI-ML Data Engineer (Pune)
🏢 CoreFlex Solutions
📍 Pune