Director/Sr. Director

4 weeks ago

Noida, Uttar Pradesh, India Axtria - Ingenious Insights Full time
Pharma experience is a must

Job Title – MLOPs (Director / Sr. Director)

Job Location – Noida / Gurgaon / Bangalore

Job Overview:

We are seeking an experienced MLOps Leader with expertise in MLOps, Data Engineering, and Data Science to join our team. The ideal candidate will design innovative solutions, lead complex client engagements, and operationalize scalable processes to deliver impactful results in the pharma/life sciences domain. If you have a strong background in MLOps tools and practices, a passion for mentoring, and a proven track record in driving AI/ML innovation, we'd love to hear from you

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.

We will provide– (Employee Value Proposition)

1. Offer an inclusive environment that encourages diverse perspectives and ideas
2. Deliver challenging and unique opportunities to contribute to the success of a transforming organization
3. Opportunity to work on technical challenges that may impact across geographies
4. Vast opportunities for self-development: online Axtria Institute, knowledge sharing opportunities globally, learning opportunities through external certifications
5. Sponsored Tech Talks & Hackathons
6. Possibility to relocate to any Axtria office for short and long-term projects
7. Benefit package:

-Health benefits

-Retirement benefits

-Paid time off

-Flexible Benefits

-Hybrid /FT Office/Remote

Axtria is an equal-opportunity employer that values diversity and inclusiveness in the workplace.

Who we are

Axtria 14 years journey

Axtria, Great Place to Work

Life at Axtria

Axtria Diversity

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