Overview
Expleo is the home of bold and reliable minds. With more than 50 years of experience in developing complex products, optimising manufacturing processes, and ensuring the quality of information systems, Expleo boasts an extensive global footprint, powered by 19,000 highly skilled experts delivering value in 30 countries.
Our efforts in creating a supportive and inclusive workplace in India have earned us some key recognitions:
Our efforts in creating a supportive and inclusive workplace in India have earned us some key recognitions:
- 'Great Place to Work' certification for building a supportive, engaging environment.
- 'Progressive Place to Work,' by ET Now, for our dedication to innovation and inclusive workplace policies.
- 'Best Organizations for Women,' by ET Now, for empowering women by providing equal opportunities, supporting professional development and promoting inclusive leadership.
- Lead the design, development, and deployment of AI/ML models and pipelines. Define architecture and best practices for scalable, production-ready AI systems
- Write, review, and optimize Python code, ML models, and data processing pipelines. Ensure robustness, efficiency, and reproducibility
- Manage end-to-end ML model lifecycle including data preprocessing, feature engineering, model training, validation, tuning, deployment, and monitoring (MLOps).
- Provide technical guidance and mentorship to data scientists, ML engineers, and junior developers. Facilitate code reviews and knowledge sharing.
- Select and implement appropriate tools, frameworks, and platforms (e.g., TensorFlow, PyTorch, MLflow, Kubeflow, etc.) to accelerate AI development.
- Work closely with DevOps teams to operationalize models using CI/CD pipelines and cloud-native infrastructure (AWS/GCP/Azure).
- Collaborate with product managers, architects, and business stakeholders to understand requirements, estimate effort, and align technical decisions with product goals.
- Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field.
- 6+ years of experience in software engineering or ML development, with at least 2+ years in a technical leadership role.
- Strong coding expertise in Python, and experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
- Experience deploying models to production environments using MLOps best practices.
- Solid understanding of data structures, algorithms, and software design principles.
- Proficiency with cloud platforms (AWS, Azure, or GCP) and containerization tools (Docker, Kubernetes).
- Excellent debugging, optimization, and performance tuning skills.
- Experience with LLMs, NLP, or computer vision projects.
- Familiarity with data lake architectures, feature stores, or real-time inference.
- Contributions to open-source AI/ML projects or publications in the field.
- Collaborative working environment – We stand shoulder to shoulder with our clients and our peers, developing solutions that create a sustainable today and tomorrow.
- Continuous learning - Our Learning & Leadership Development team has established a world-class learning ecosystem that enables you to acquire and develop the right skills by delivering a suite of accredited training courses.
- Global organisation - We provide solutions to leading brands from various sectors, giving you the opportunity to work with top-tier companies providing impactful solutions to our customers’ customers.
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