Urgent! Lead Machine Learning Engineer Job Opening In Bengaluru – Now Hiring Asper.ai
About the Role
We are looking for a highly skilled Lead - Machine Learning Engineer to lead the design, development, and deployment of large-scale ML solutions that power intelligent business applications.
This role bridges data science, engineering, and product — ensuring that ML models move efficiently from prototype to production with scalability, reliability, and performance.
You’ll collaborate with data scientists, software engineers, and product teams to architect and operationalize machine learning systems that deliver measurable business value.
The ideal candidate combines deep technical expertise in machine learning infrastructure with strong leadership and mentorship capabilities.
Key Responsibilities
1.
Machine Learning System Design & Development
- Lead the end-to-end development of scalable ML systems — from data processing to model training, validation, deployment, and monitoring.
- Design high-performance pipelines for feature engineering, model serving, and real-time inference.
- Build reusable frameworks, SDKs, and components to accelerate ML deployment across teams.
2.
MLOps & Automation
- Establish CI/CD pipelines for ML models, ensuring reproducibility, traceability, and automated rollout.
- Define best practices for model versioning, model governance, and monitoring (data drift, performance degradation, etc.).
- Integrate ML systems into production using cloud-native services (AWS, Azure, GCP) and orchestration tools (Kubernetes, Airflow, Kubeflow).
3.
Leadership & Collaboration
- Lead and mentor a team of ML engineers, fostering a culture of technical excellence and continuous learning.
- Partner with data scientists to productionize research models, ensuring robustness, scalability, and maintainability.
- Work with product and engineering teams to align ML solutions with business objectives and delivery timelines.
4.
Performance Optimization & Innovation
- Optimize training and inference performance using distributed computing, GPU acceleration, and efficient data pipelines.
- Evaluate new tools, frameworks, and technologies to improve model performance, scalability, and cost-efficiency.
- Champion best practices in responsible AI — including fairness, transparency, and compliance.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, Machine Learning, or related field.
- 6+ years of experience in machine learning or data engineering, including 3+ years in a senior or lead role.
- Strong proficiency in Python with experience in ML libraries and frameworks such as TensorFlow, PyTorch, scikit-learn, and XGBoost.
- Knowledge of microservices architecture and API design for ML model serving.
- Expertise in MLOps tools: MLflow, Kubeflow, Airflow, Docker, Kubernetes, and CI/CD systems (Jenkins, GitHub Actions, Argo).
- Deep understanding of cloud infrastructure (AWS SageMaker, GCP Vertex AI, Azure ML) and data pipelines (Spark, Kafka, Snowflake, BigQuery).
- Solid experience with model monitoring, observability, and A/B testing frameworks.
- Strong understanding of software engineering principles — clean code, testing, version control, and documentation.
- Excellent communication and leadership skills with a proven track record of cross-functional collaboration.
Nice-to-Have
- Experience with large language models (LLMs), retrieval-augmented generation (RAG), or generative AI pipelines.
- Exposure to feature stores (Feast, Tecton) and real-time data systems.
- Understanding of data governance, ethics, and security in AI systems.
- Full stack development familiarity to collaborate across front-end and back-end integration of ML services.
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Unlock Your Lead Machine Potential: Insight & Career Growth Guide
Real-time Lead Machine Jobs Trends in Bengaluru, India (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Lead Machine in Bengaluru, India using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 190267 jobs in India and 15718 jobs in Bengaluru. This comprehensive analysis highlights market share and opportunities for professionals in Lead Machine roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Asper.ai is currently hiring and seeking a Lead Machine Learning Engineer to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Lead Machine Learning Engineer Jobs Bengaluru.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Asper.ai adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Lead Machine Learning Engineer Jobs India varies, but the pay scale is rated "Standard" in Bengaluru. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
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Before the Interview:To prepare for your Lead Machine Learning Engineer interview at Asper.ai, research the company, understand the job requirements, and practice common interview questions.
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