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Experience: 6+ yrs

Location: pune, Hyderabad, Telangana, India, Bengaluru, Karnataka, India

Job Type: Full-time

We are looking for an experienced MLOps / Machine Learning SME to lead the design, development, deployment, and operationalisation of machine learning solutions across the complete ML lifecycle. The role requires strong hands-on expertise in MLOps, Machine Learning, Python, AWS SageMaker, and AWS Bedrock , along with the ability to provide technical leadership and work directly with clients and cross-functional stakeholders.

The ideal candidate will combine deep technical expertise with strong problem-solving and communication skills to build reliable, scalable, and production-ready machine learning platforms and solutions.

Requirements Key Responsibilities

- Design and implement end-to-end MLOps pipelines covering model development, training, deployment, monitoring, and lifecycle management
- Develop and productionise machine learning solutions using Python and modern ML frameworks
- Build scalable ML workflows and infrastructure using AWS SageMaker
- Leverage AWS Bedrock to develop, integrate, and operationalise AI and foundation-model-based solutions
- Deploy machine learning models into scalable and reliable production environments
- Implement model monitoring, performance tracking, drift detection, alerting, and continuous improvement processes
- Develop automated workflows for model training, validation, deployment, and retraining
- Establish best practices for ML experimentation, versioning, reproducibility, governance, and deployment
- Collaborate with Data Scientists, Data Engineers, Software Engineers, DevOps, Cloud Architects, and Product teams
- Troubleshoot complex issues across ML pipelines, infrastructure, deployments, and production environments
- Optimise ML workloads for performance, scalability, reliability, and cost efficiency




- Evaluate emerging machine learning and AI technologies and identify opportunities for practical adoption
- Provide technical guidance and mentorship to engineering and machine learning teams
- Lead technical discussions, solution reviews, architecture sessions, and client-facing engagements
- Translate business and client requirements into scalable ML and MLOps solutions
- Prepare technical documentation, architecture designs, implementation approaches, and operational guidelines
- Contribute to engineering standards, reusable frameworks, automation, and continuous improvement initiatives

What Makes You a Great Fit
- 6+ years of experience in Machine Learning, MLOps, ML Engineering, AI Engineering, or a closely related technical field
- Strong hands-on expertise in end-to-end MLOps and Machine Learning
- Advanced proficiency in Python for machine learning and production engineering
- Mandatory hands-on experience with AWS SageMaker
- Mandatory experience with AWS Bedrock and foundation-model/GenAI solutions
- Strong understanding of ML model development, deployment, monitoring, and lifecycle management
- Experience building production-grade ML pipelines and automated model deployment workflows
- Strong understanding of cloud infrastructure, CI/CD, containers, APIs, and scalable application architectures
- Experience with model monitoring, observability, model performance, drift, and reliability practices
- Solid troubleshooting and problem-solving skills across machine learning and cloud environments
- Proven experience working as a Technical SME, Lead, or senior technical contributor
- Strong client-facing experience with excellent communication and presentation skills
- Ability to explain complex ML and MLOps concepts to both technical and non-technical stakeholders
- Strong stakeholder management and cross-functional collaboration skills
- Ability to work independently, take ownership of complex technical initiatives, and provide effective technical leadership
- Experience working in Agile environments and managing multiple priorities effectively
- A Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or a related discipline is preferred

📌 Machine Learning SME (Bengaluru)
🏢 Weekday AI (YC W21)
📍 Bengaluru