DATA ENGINEER - Machine Learning
Job Description
Reference: RFQ SMART7748_Happiest Minds
Years of Experience: 3 to 5 Years
Mandatory Skills
- 3 to 5 years of professional experience in Machine Learning Engineering, MLOps, Data Engineering, or Software Engineering.
- Experience with big data technologies such as Apache Spark, Kafka, Hadoop, Flink, or similar distributed systems.
- Strong experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
- Experience developing and maintaining large-scale data engineering pipelines using Python, Spark, Databricks, Airflow, or similar technologies.
- Experience implementing CI/CD pipelines using Azure DevOps, GitHub Actions, Jenkins, or equivalent tools.
- Strong proficiency in Docker, Kubernetes, and container-based application deployment.
- Strong understanding of software engineering best practices including object-oriented design, design patterns, version control, testing strategies, code reviews, and secure development practices.
- Experience with model lifecycle management, experiment tracking, feature management, and production model deployment.
- Strong understanding of data governance, security, and compliance requirements in enterprise environments.
- Excellent analytical, problem-solving, collaboration, and communication skills.
- Ability to manage multiple projects and priorities in a fast-paced environment.
- Professional certifications in Machine Learning, Cloud Technologies, Data Engineering, or MLOps.Hands-on experience with Databricks, Snowflake, Delta Lake, Feature Stores, or Vector Databases.
- Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn, MLflow, or equivalent platforms.
- Experience building Generative AI, LLM, RAG, Agentic AI, or NLP-based solutions.
- Experience with monitoring, observability, and logging platforms such as Grafana, Prometheus, ELK, Azure Monitor, or Datadog.
- Experience working in Agile/Scrum development environments.
- Experience mentoring junior engineers and leading technical initiatives across teams.
Bachelors or Masters degree in Computer Science, Software Engineering, Data Science, Artificial Intelligence, or related field.
Machine Learning,Python,Azure Databricks,Pyspark,Data Engineer,MLops
Skills
Artificial IntelligenceBig DataPythonData GovernanceData ScienceMachine LearningScrumSnowflakeData EngineerAiGoogle CloudIf a job posting appears fraudulent, asks for payment, contains misleading information, or violates our guidelines, please report it immediately. Our team will review it promptly, Jobaaj does not charge any fee from the applicants.
About Company
Important dates & deadlines?
Application Deadline
16 Oct 26, 04:18 PM IST
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