Senior AI and Machine Learning Engineer
INR 3000K-4500K (estimate) Senior-level Full Time
Tasks
- Analyze data to fine tune models
- Architect large-scale AI solutions
- Automate internal processes and improve scalability
- Build data extraction, transformation, and loading pipelines
- Build data pipeline infrastructure
- Collaborate on business requirements and solution design
- Conduct AI research and experiments
- Deploy machine learning models to production
- Develop, implement, and optimize machine learning models
- Integrate models with software systems
- Lead AI solution development
- Manage data transformation metadata dependencies and workloads
- Mentor team members
- Monitor model performance and collect metrics
- Perform code and design reviews
- Perform data preprocessing and feature engineering
- Perform root cause analysis
- Present technical updates to stakeholders
- Tune hyperparameters and train on large datasets
Perks/Benefits
- Career Development Programs
- Health and wellbeing benefits
- Hybrid work arrangement
- Inclusion and flexible work
Skills/Tech-stack
AWS EC2 | AWS EMR | AWS RDS | Agile | Amazon Redshift | Amazon S3 | Amazon Web Services | Apache Kafka | Apache Spark | Apache Spark SQL | CI/CD | Cassandra | Conversational AI | Data Mining | Data Modeling | Data Preprocessing | Databricks | Deep learning | Elasticsearch | Feature Engineering | Generative AI | Hadoop | Hyperparameter Tuning | Language Models | Language Processing | Large Language Models | MLOps | MLlib | Machine Learning | Natural Language | Natural Language Processing | NoSQL | NumPy | PostgreSQL | Python | SQL | Scikit-learn | Snowflake | Spark SQL | Spark Streaming | Storm | TensorFlow | Web Services
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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