Senior AI and Machine Learning Engineer
Bengaluru, Karnātaka, India
INR 3000K-4500K (estimate) Senior-level Full Time
Tasks
- Architect large-scale AI systems
- Build analytics tools from data pipelines
- Build data extraction, transformation, and loading pipelines
- Collaborate with cross-functional teams
- Conduct AI research and experiments
- Conduct root cause analysis for data and process issues
- Deliver technical presentations and reports
- Deploy machine learning models to production
- Design scalable data pipelines and datasets
- Develop and optimize machine learning models
- Engineer features and tune hyperparameters
- Ensure scalability efficiency and security in deployments
- Fine tune models using monitoring insights
- Integrate models with software systems
- Lead AI solution development
- Manage data structures metadata dependencies and workloads
- Mentor junior team members
- Monitor model performance and metrics
- Perform code and design reviews
- Provide technical leadership and guidance to stakeholders
- Support data transformation and workload management
Perks/Benefits
- Career Development Programs
- Health and wellbeing benefits
- Hybrid work
- Inclusion and flexibility programs
Skills/Tech-stack
AWS | Agile | Airflow | Cassandra | Data Mining | Data Modeling | Databricks | Deep learning | EC2 | EMR | Elasticsearch | Feature Engineering | Generative AI | Hadoop | Hyperparameter Tuning | Kafka | Language Processing | Linear Algebra | MLOps | MLflow | Machine Learning | Natural Language | Natural Language Processing | NoSQL | NoSQL Databases | NumPy | PostgreSQL | Probability theory | PySpark | Python | RDS | Redshift | S3 | SDLC | SQL | Scikit-learn | Snowflake | Spark | Spark Streaming | Statistics | Storm | TensorFlow
Education
Bachelor of Science | Master of Computer Science | Master of Science
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