Senior Technical Lead

Job Summary

Looking for Data Scientist with 5–7 years of professional experience in Machine Learning Engineering, MLOps, Data Engineering, or Software Engineering.

Key Responsibilities

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.

Skill Requirements

Required:

Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, Artificial Intelligence, or related field.
5–7 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.

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 Tensor Flow, Py Torch, 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.

Other Requirements

Prerequisite..

Data Engineering, MLOps