Job Openings Director - Data Science

About the job Director - Data Science

Job Title: Director - Data Science

Job Location: Noida, Uttar Pradesh, India

Job Location Type: On-site

Job Contract Type: Full-time

Job Seniority Level: 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.


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