AI-ML Data Engineer

1 day ago

Pune, Maharashtra, India CoreFlex Solutions Full time ₹ 12,00,000 - ₹ 36,00,000 per year

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.
  • 5+ 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.
  • Strong communication and collaboration skills, capable of engaging with both business and technical teams.
  • Proven ability to deliver in agile environments and manage competing priorities effectively.

Preferred / Good-to-Have Skills:

  • Experience with LLMs, Generative AI, or prompt engineering for text/image applications. 
  • Knowledge of data versioning (DVC) and feature stores for ML pipelines.
  • Exposure to data visualization tools (Tableau, Power BI, Looker).
  • Understanding of DevOps/MLOps CI/CD for model deployment.
  • Certification in AWS AI/ML Specialty, Azure Data Scientist, or Google Cloud ML Engineer.

Key Attributes

  • Strong analytical mindset with attention to detail.
  • Curious and self-driven to explore emerging AI technologies.
  • Effective communicator who can explain data and model insights to leadership.
  • Team player with a focus on knowledge sharing and continuous learning.

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