Director

Job Description – MLOPs (Director)

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.

Good to have skills & competencies

• 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.

Eligibility Criteria

• Masters/PhD in CSE/IT from Tier 1 institute
• Minimum 12+ years of relevant experience in building software applications in data and analytics field.