3562842-Senior Assistant Vice President

EXL Talent Acquisition Team; Gurugram District; Sur place; INR 1 400 000 - 2 100 000; Plein temps

Résumé du poste

EXL Talent Acquisition Team in Gurgaon, India seeks a Generative AI and Data Science Engineer with MLOps expertise to design, develop, and deploy scalable AI solutions across domains. You will work with cross-functional teams on research, prototyping, deployment, and maintenance to ensure robustness and efficiency.

The role requires deep knowledge of AI/ML, strong Python skills, and experience with MLOps tools and cloud deployment to scale models in production.

Qualifications

• Bachelor’s or Master’s in CS/DS/Engineering; PhD preferred.
• Proficiency in Python and ML libraries (TensorFlow, PyTorch, Keras, scikit-learn).
• Strong knowledge of generative AI models (GANs, VAEs, transformers) and DL techniques.
• Experience with MLOps tools (MLflow, Kubeflow, Docker) and CI/CD.
• Cloud experience (AWS/GCP/Azure) for deployment at scale.

Responsabilités

• Generative AI Development and Data Science: Design, develop, and fine-tune generative AI models for NLP, image synthesis, and data augmentation.
• EDA and statistical modeling to identify trends and insights.
• Collaborate with data engineering and product teams to create data pipelines for model training, testing, and deployment.
• Apply data science techniques to optimize model performance and address business challenges.
• MLOps: Implement ML lifecycle practices, model versioning, monitoring, and retraining.
• Build, maintain, and optimize CI/CD pipelines for ML models for streamlined development.
• Ensure scalability, robustness, and security of AI/ML systems in production.
• Develop tools and frameworks for monitoring model performance and anomalies post-deployment.
• Engage in R&D, stay current with generative AI/ML advances.

Connaissances

Python

TensorFlow

PyTorch

Keras

scikit-learn

EDA

Feature engineering

Statistical modeling

Model evaluation

SQL

Tableau

Power BI

Data visualization

Formation

Bachelor's or Master's in CS/DS/Engineering

PhD preferred

Outils

MLflow

Kubeflow

Docker

CI/CD platforms

Description du poste

Role 1 - Gen AI + DS + ML Ops

Job Title: Generative AI and Data Science Engineer with MLOps Expertise

Location: Gurgaon, India

Employment Type: Full-time Band – D1 / D2

About the Role:

We are seeking a versatile and highly skilled Generative AI and Data Science Engineer with strong MLOps expertise. This role combines deep technical knowledge in data science and machine learning with a focus on designing and deploying scalable, production-level AI solutions. You will work with cross-functional teams to drive AI/ML projects from research and prototyping through to deployment and maintenance, ensuring model robustness, scalability, and efficiency.

Responsibilities:

• Generative AI Development and Data Science: Design, develop, and fine-tune generative AI models for various applications such as natural language processing, image synthesis, and data augmentation.
• Perform exploratory data analysis (EDA) and statistical modeling to identify trends, patterns, and actionable insights.
• Collaborate with data engineering and product teams to create data pipelines for model training, testing, and deployment.
• Apply data science techniques to optimize model performance and address real-world business challenges.
• Machine Learning Operations (MLOps): Implement MLOps best practices for managing and automating the end-to-end machine learning lifecycle, including model versioning, monitoring, and retraining.
• Build, maintain, and optimize CI/CD pipelines for ML models to streamline development and deployment processes.
• Ensure scalability, robustness, and security of AI/ML systems in production environments.
• Develop tools and frameworks for monitoring model performance and detecting anomalies post-deployment.
• Research and Innovation: Stay current with advancements in generative AI, machine learning, and MLOps technologies and frameworks.
• Identify new methodologies, tools, and technologies that could enhance our AI and data science capabilities.
• Engage in R&D initiatives and collaborate with team members on innovative projects.

Requirements:

• Educational Background: Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field. PhD is a plus.
• Technical Skills: Proficiency in Python and familiarity with machine learning libraries (e.g., TensorFlow, PyTorch, Keras, scikit-learn).
• Strong understanding of generative AI models (e.g., GANs, VAEs, transformers) and deep learning techniques.
• Experience with MLOps frameworks and tools such as MLflow, Kubeflow, Docker, and CI/CD platforms.
• Knowledge of data science techniques for EDA, feature engineering, statistical modeling, and model evaluation.
• Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure) for deploying and scaling AI/ML models.
• Soft Skills: Ability to collaborate effectively across teams and communicate complex technical concepts to non-technical stakeholders. Strong problem-solving skills and the ability to innovate in a fast-paced environment.
• Preferred Qualifications: Prior experience in designing and deploying large-scale generative AI models.
• Proficiency in SQL and data visualization tools (e.g., Tableau, Power BI).
• Experience with model interpretability and explainability frameworks.