Location: Bangalore

Key Responsibilities 

• Act as a key liaison between R&D and stakeholders, ensuring technical alignment with business objectives.
• Provide direction in scaling and optimizing ML/AI solutions aligned with company goals.
• Shape the R&D roadmap based on industry insights and business needs.
• Develop robust APIs and microservices for seamless ML model integration into production systems.
• Design and develop common feature store and build feature pipeline for models
• Ensure effective model integration with front-end applications, databases, and back-end services.
• Publish findings in top conferences to advance field knowledge.
• Guide machine learning engineers, fostering team growth through training and collaboration.
• Build and manage end-to-end MLOps pipelines for data collection, model training, validation, and monitoring.
• Ensure adherence to version control, testing, and model governance best practices.
• Identify and address bottlenecks in ML models and services.
• Implement model compression, quantization, and distributed training techniques.
• Track key metrics and optimize models post-deployment.
• Work with cloud architects and DevOps to design scalable ML infrastructure.
• Oversee deployment and management of compute and storage resources for model training and inference.
• Collaborate with applied scientists and analysts to convert model requirements into production-ready solutions.
• Establish monitoring and alerting systems for deployed models to ensure prompt issue resolution.
• Create and maintain documentation for ML architecture and best practices.
• Stay current with ML technologies and contribute to ongoing enhancement efforts.

Required Qualifications 

• Bachelors/ Masters / PhDin Computer Science or related field.
• 12+ years of hands-on experience as a Machine Learning Engineer or Architect with a strong portfolio of deployed ML models for batch, streaming and realtime usecases
• Excellent problem-solving skills and a strong analytical mindset.
• Proficient in Python for model development and data manipulation.
• Experience with Java or Scala for building production systems and microservices
• Experience in messaging queues : Kafka, SQS
• Expertise in MLOps tools and frameworks (e.g., MLflow, Kubeflow, Airflow).
• Strong programming skills in languages such as Python, Java, or Scala.
• Experience with cloud platforms (AWS, Google Cloud, Azure) and containerization technologies (Docker, Kubernetes).
• Knowledge of machine learning frameworks (TensorFlow, PyTorch, Scikit-learn, TensorRT and Cuda).
• experience in working on the following datastores : Elasticsearch, Mongo, Postgres, DyanmoDB, Redis, vectorDB, GraphDb
• Experience with data processing and ETL tools (e.g., Apache Spark, Kafka).
• Experience in monitoring tools Grafana and Prometheus.

 Preferred Qualifications 

• Experience in large-scale production systems and distributed computing.
• Familiarity with data engineering practices and data warehousing solutions.
• Contributions to open-source projects or active participation in the ML community.
• Enjoys discovering and solving problems; proactively seeking clarification of requirements and direction; being a self-starter who takes responsibility when required.
• Strong interpersonal, verbal, visual and presentation skills, ability to communicate complex findings in a simple manner to executives.
• Ability to work collaboratively across multiple products and application teams.
• A willingness to learn, share and improve.

Perks and Benefits

• Competitive compensation
• Generous stock options
• Medical Insurance coverage
• Work with some of the brightest minds from Silicon Valley’s most dominant and successful companies

Address

Bangalore Office

Bagmane Solarium City, 3^rd & 4^th floors, Neon Building, Kundalahalli Colony, Brookefield, Bengaluru, Karnataka 560037