
Coreflex Solutions Inc.•1h ago
Foundit
AI-ML Data Engineer
Pune, India
Full Time
Mid Level
Full Job Description
AI-ML Data Engineer Opportunity in Pune, India
Coreflex Solutions Inc. is seeking a talented AI-ML Data Engineer to join our growing team in Pune, India. This permanent role offers an exciting opportunity to work on cutting-edge AI and Machine Learning projects.
Roles and Responsibilities:
- Design, construct, and maintain robust data pipelines and ETL/ELT workflows for diverse structured and unstructured data sources.
- Develop, train, validate, and deploy advanced machine learning and AI models utilizing popular frameworks like TensorFlow, PyTorch, or Scikit-learn.
- Collaborate closely with data engineers, business analysts, and product managers to transform 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 environments such as AWS, Azure, or GCP.
- Partner with data visualization and BI teams to create insightful analytics dashboards powered by AI model outputs.
- Champion data quality, governance, and adherence to organizational and regulatory compliance standards.
- Articulate complex technical outcomes clearly and effectively to non-technical stakeholders.
Required Skills and Qualifications:
- Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a closely related 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 including Pandas, NumPy, or PySpark.
- Demonstrated experience with data pipeline orchestration tools such as Airflow, Databricks, AWS Glue, or Apache Spark.
- Solid understanding of core ML algorithms (supervised, unsupervised, NLP, deep learning) and practical experience with at least one deployment-ready framework (TensorFlow / PyTorch).
- Experience in deploying models via REST APIs, containerization technologies (Docker, Kubernetes), or serverless computing platforms (AWS Lambda, Azure Functions).
- Familiarity with cloud-based data platforms, including AWS (S3, Redshift, SageMaker), Azure (Synapse, ML Studio), or GCP (BigQuery, Vertex AI).
- Knowledge 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 track record of delivering successful projects in agile environments and adeptly 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 like DVC and experience with feature stores for ML pipelines.
- Exposure to data visualization tools such as Tableau, Power BI, or Looker.
- Understanding of DevOps/MLOps principles for CI/CD in 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 individual eager to explore emerging AI technologies.
- An effective communicator capable of presenting data and model insights to leadership.
- A collaborative team player committed to knowledge sharing and continuous learning.
Skills highlighted: azure, machine learning, mlops, llm, data engineering, gen ai
Company
Coreflex Solutions Inc.
Pune, India
Posted on Foundit