NOIDA · FULLTIME
Director
Axtria
Noida · onsite · Posted 13d ago
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Not disclosed12–14 yrsfulltimeNoida
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Section · 01
About this role
Job Description – MLOPs (Director)
Experience – 12+ yrs.
Job Location – Noida / Gurgaon / Bangalore
Must Have Skills & Competencies
Experience – 12+ yrs.
Job Location – Noida / Gurgaon / Bangalore
Must Have Skills & Competencies
- Experience in designing innovative solutions which are aligned with client expectations and requirements and that has been helpful in crafting winning proposals in the field of MLOPS/Data Engineering and Data Science.
- Good experience in Developing Delivering and operationalizing scalable processes for large and complex client engagements in the field of Data science.
- Engage with clients to grow and deliver business. Ensure profitable delivery and great customer experience by designing end-to-end solutions and guiding the team to deliver as per established processes.
- Develop and operationalize scalable processes to deliver on large & complex client engagements.
- Train and mentor staff and establish best practices and ways of working to enhance data science capabilities at Axtria. Operationalize an eco-system for continuous learning & development.
- Write white papers, collaborate with academia and participate in relevant speaker opportunities to continuously upgrade learning & establish Axtria's thought leadership in this space.
- Research, develop, evaluate and optimize newly emerging algorithms and technologies for relevant use cases in pharma commercial & clinical space.
- Strong expertise in MLOps tools and practices, including CI/CD pipelines, automated testing, model versioning, and monitoring using MLflow, Kubeflow, TFX, or SageMaker. Experience with containerization and orchestration technologies like Docker, Kubernetes, and Helm for scalable model deployment.
- Strong understanding of data engineering principles and tools, such as Apache Airflow, Kafka, Snowflake, or Hadoop, for managing data pipelines.
- Proven experience in integrating explainability and fairness tools, such as SHAP, LIME, or Fairlearn, into ML systems.
- Proven ability to collaborate with cross-functional teams, including product managers, data scientists, and DevOps engineers, to deliver end-to-end generative AI solutions.
- Proven experience in leading teams focused on generative AI projects, mentoring ML engineers, and driving innovation in AI applications.
- Possessing robust analytical skills to address and model intricate business needs is highly advantageous, especially for those with a background in life sciences or pharmaceuticals.
- Masters/PhD in CSE/IT from Tier 1 institute
- Minimum 12+ years of relevant experience in building software applications in data and analytics field.
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Section · 02
Skills
DockerKubernetesData engineering principles and toolsExplainability and fairness toolsModel versioning and monitoringAws SagemakerApache KafkaCI/CD Pipelinesmlflowautomated testingHelmapache airflowKubeflowshapApache HadoopTFXLIMEFairlearnMLOps tools and practicesSnowflake
Section · Company
About Axtria
Axtria
Software Product
2.8k+
employees
2010
16 years old
Gurgaon/Gurugram, Haryana
India
About
Axtria provides cloud software and data analytics solutions to the life sciences sector, enhancing product commercialization and improving healthcare outcomes.
Industries
Software ProductInternetIT Services & Consulting
Employee ratings
783 reviews
2.8/ 5
Culture
2.6
Career growth
2.7
Work-life
2.6
Employees rate it well for
Work Life Balance200Senior Management101Salary94Learning88Work Culture84
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