Coreflex Solutions Inc.•2h ago
Foundit
AI-ML Data Engineer
Pune, India
Full Time
Mid Level
N/A
N/A
N/A
Responsibilities
Qualifications & Requirements
Experience Level: Mid Level
Full Job Description
AI-ML Data Engineer - Coreflex Solutions Inc. in Pune, India
Coreflex Solutions Inc. is seeking a talented AI-ML Data Engineer to join our dynamic team in Pune, India. This role offers a permanent opportunity to contribute to cutting-edge AI and Machine Learning projects.
Roles & Responsibilities
- Design, build, and maintain robust data pipelines and ETL/ELT workflows for diverse data sources, including structured and unstructured data.
- Develop, train, validate, and deploy advanced machine learning and AI models utilizing frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- Collaborate closely with data engineers, business analysts, and product managers to translate analytical requirements into production-ready models and APIs.
- Optimize data processing performance and model inference pipelines for enhanced scalability and cost-efficiency, with a preference for cloud platforms like AWS, Azure, or GCP.
- Partner with data visualization and BI teams to create analytics dashboards that effectively surface insights derived from AI models.
- Ensure high data quality, uphold data governance standards, and maintain compliance with organizational and regulatory requirements.
- Communicate complex technical outcomes clearly and impactfully to non-technical stakeholders.
Required Skills And Qualifications
- Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related quantitative field.
- A minimum of 2 years of hands-on experience in Data Engineering, Machine Learning, or AI solution development.
- Proficiency in Python, SQL, and essential data manipulation libraries like Pandas, NumPy, or PySpark.
- Demonstrated experience with data pipelines using Airflow, Databricks, AWS Glue, or Apache Spark.
- Strong understanding of core ML algorithms (supervised, unsupervised, NLP, deep learning) and practical experience with at least one deployment-ready framework (TensorFlow / PyTorch).
- Experience deploying models via REST APIs, containers (Docker, Kubernetes), or serverless platforms (AWS Lambda, Azure Functions).
- Familiarity with cloud-based data platforms such as AWS (S3, Redshift, SageMaker), Azure (Synapse, ML Studio), or GCP (BigQuery, Vertex AI).
- Solid understanding of data governance, metadata management, and data security best practices.
- Exceptional communication and collaboration skills, with the ability to engage effectively with both business and technical teams.
- Proven ability to deliver high-quality results in agile environments and adeptness at managing competing priorities.
Preferred / Good-to-Have Skills
- Experience with Large Language Models (LLMs), Generative AI, or prompt engineering for text/image applications.
- Knowledge of data versioning tools (DVC) and feature stores for managing ML pipelines.
- Exposure to data visualization tools such as Tableau, Power BI, or Looker.
- Understanding of DevOps/MLOps principles, including CI/CD for model deployment.
- Relevant certifications such as AWS AI/ML Specialty, Azure Data Scientist, or Google Cloud ML Engineer.
Key Attributes
- A strong analytical mindset with meticulous attention to detail.
- A curious and self-driven approach to exploring emerging AI technologies.
- An effective communicator capable of articulating data and model insights to leadership.
- A dedicated team player focused on knowledge sharing and continuous professional development.
This role is based in Pune, India, and is a permanent position.
Company
Coreflex Solutions Inc.
Pune, India
Posted on Foundit