About Apexon :

Apexon is a digital-first technology services firm specializing in accelerating business transformation and delivering human-centric digital experiences.

We have been meeting customers wherever they are in the digital lifecycle and helping them outperform their competition through speed and innovation.

Apexon brings together distinct core competencies in AI, analytics, app development, cloud, commerce, CX, data, DevOps, IoT, mobile, quality engineering and UX, and our deep expertise in BFSI, healthcare, and life sciences to help businesses capitalize on the unlimited opportunities digital offers.

Our reputation is built on a comprehensive suite of engineering services, a dedication to solving clients toughest technology problems, and a commitment to continuous improvement.

Backed by Goldman Sachs Asset Management and Everstone Capital, Apexon now has a global presence of 15 offices (and 10 delivery centers) across four continents.

Key Responsibilities :

- Design, develop, and maintain CI/CD pipelines for ML models and data workflows.

- Collaborate with data science teams to productionize models using tools like MLflow, Kubeflow, or SageMaker.

- Automate training, validation, testing, and deployment of machine learning models.

- Monitor model performance, drift, and retraining needs.

- Ensure version control of datasets, code, and model artifacts.

- Implement model governance, audit trails, and reproducibility.

- Optimize model serving infrastructure (REST APIs, batch/streaming inference).

- Integrate ML solutions with cloud services (AWS, Azure, GCP).

- Ensure security, compliance, and reliability of ML systems.

Required Skills and Qualifications :

- Bachelors or masters degree in computer science, Engineering, Data Science, or related field.

- 5+ years of experience in MLOps, DevOps, or ML engineering roles.

- Strong experience with ML pipeline tools (MLflow, Kubeflow, TFX, SageMaker Pipelines).

- Proficiency in containerization and orchestration tools (Docker, Kubernetes, Airflow).

- Strong Python coding skills and familiarity with ML libraries (scikit-learn, TensorFlow, PyTorch).

- Experience with cloud platforms (AWS, Azure, GCP) and their ML services.

- Knowledge of CI/CD tools (GitLab CI/CD, Jenkins, GitHub Actions).

- Familiarity with monitoring/logging tools (Prometheus, Grafana, ELK, Sentry).

- Understanding of data versioning (DVC, LakeFS) and feature stores (Feast, Tecton).

- Strong grasp of model testing, validation, and monitoring in production environments.

Our Perks and Benefits :

Our benefits and rewards program has been thoughtfully designed to recognize your skills and contributions, elevate your learning/upskilling experience and provide care and support for you and your loved ones.

As an Apexon Associate, you get continuous skill-based development, opportunities for career advancement, and access to comprehensive health and well-being benefits and assistance.

We also offer :

- Group Health Insurance covering family of 4.

- Term Insurance and Accident Insurance.

- Paid Holidays & Earned Leaves.

- Paid Parental LeaveoLearning & Career Development.

- Employee Wellness.