Senior Python Developer
1 week ago
Job Overview:
We are seeking a highly skilled Senior Python Software Engineer – AI/ML to join our team. The ideal candidate will bring deep expertise in Python and end-to-end AI/ML product delivery, with strong experience in Large Language Models (LLMs), data engineering, and MLOps frameworks. Hands-on exposure to Databricks, Data Foundry, MLflow, Prefect, and Azure ML tooling will be highly advantageous
Key Responsibilities:
- Design, develop, and deploy AI/ML systems into production environments.
- Orchestrate and manage scalable data pipelines with a focus on quality, reliability, and efficiency.
- Own the full AI/ML lifecycle:
o Data ingestion, preprocessing, and validation
o Model training, fine-tuning, validation, and optimization
o Deployment, monitoring, and scaling in production
o Continuous evaluation and improvement
- Implement scalable and maintainable code aligned with modern development practices (CI/CD, testing, reviews).
- Develop APIs and microservices to integrate AI/ML solutions into enterprise platforms.
- Work with containerization and orchestration technologies (Docker, Kubernetes) to enable cloud native AI solutions.
- Collaborate cross-functionally to deliver business-focused AI capabilities.
Core Competencies & Requirements
AI/ML Expertise
- Proven experience in delivering production-grade AI/ML systems.
- Strong understanding of
LLMs
(fine-tuning, embeddings, integration, and deployment). - Familiarity with NLP techniques and advanced ML workflows.
Software Engineering
- Advanced proficiency in
Python
for AI/ML applications. - Skilled in scalable, maintainable code design and architecture.
- Experience with
CI/CD pipelines
, automated testing, and modern development best practices.
Data Engineering
- Hands-on experience with
Databricks, Data Foundry
, and
Apache Spark
for large-scale data processing. - Ability to build and maintain ETL/ELT pipelines with strong validation and governance.
- Knowledge of pipeline orchestration frameworks such as
Prefect
(or Airflow).
MLOps & Frameworks
- Practical experience with
MLflow
for tracking, orchestration, and reproducibility. - Strong knowledge of MLOps best practices and deployment strategies.
Cloud Platforms & Infrastructure
- Hands-on experience with
Azure ML services
(Data Factory, ML Studio, Synapse). - Azure certification
will be considered an advantage. - Exposure to
AWS
or
GCP
is beneficial. - Experience with
Docker
and container orchestration (Kubernetes).
API Development & Microservices
- Proven ability to design RESTful APIs and microservices.
- Experience integrating AI models into production workflows.
- Familiarity with observability best practices (metrics, logging, tracing).
Educational Requirements:
- B.Eng Electronic/Electrical Engineering or B.Sc Information Technology (Computer Science)
- (Advantageous) Post Graduate Degree
- (Advantageous) Lightning JS Certified Developer
- (Advantageous) Oracle Java Certification
Experience Required:
- Bachelor's degree
in
Computer Science, Computer Engineering, Software Engineering, or related field
(BSc required). - Honours or Master's degree
in a relevant field will be an
advantage
. - 7+ years of professional software engineering experience, with at least 3+ years focused on AI/ML.
- Strong experience with ML frameworks such as
TensorFlow, PyTorch, and Scikit-learn
. - Agile methodology experience and strong collaboration skills.
-
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