DATA ENGINEER - Machine Learning

Department Icon Data Science Analytics & Machine Learning
149+ Applicants
Posted: 1 week ago
3-5 years
Pune, Maharashtra
work from office

Posted: 1 week ago
|
Applicants: 150+
Job Description
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Job Description

Job Title: Machine Learning, Data Engineering, MLOps Engineer
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.
Desired Expertise (in one or more of the following areas):
  • 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.
Familiarity with Infrastructure as Code tools such as Terraform, Bicep, or CloudFormation.
  • 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.
Educational Qualification
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 Cloud

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About Company

Happiest Minds Technologies is a global IT solutions provider offering services in areas such as digital transformation, data analytics, and cloud computing.

Important dates & deadlines?

Application Deadline

16 Oct 26, 04:18 PM IST

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DATA ENGINEER - Machine Learning

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