Applied Scientist
Summary
Dear Hiring Manager,
I came across this open position of Sr. ML Scientist / Sr. ML Engineer / Sr. Software Engineer.
I am an Applied Scientist at Amazon with 6+ years of experience in the AI/ML domain, having a proven track record with a strong engineering and research background. I have expertise in Machine Learning, Deep Learning, Computer Vision, NLP, Recommender Systems & Personalization, Reinforcement Learning, as well as best practices in Software development like DSA/coding and HLD/LLD. I have strong technology acumen in both ML & SDE fields, and so far I have developed 15+ industry-level ML models and have deployed all of them to production across 4 MNCs.
Earlier, I worked at Rakuten, Cisco, Microsoft where I used innovative Machine Learning models to solve challenging business problems at scale. I am also proficient in both Backend & Full-Stack development, with industry-level knowledge of SDE/Coding & implementing best practices of HLD/LLD Design at work.
Presently, I am working as an Applied Scientist in Amazons Kindle (DCCS) Org. I led a team of 4 SDEs & contributed towards optimizing Kindles intelligent product mapping across 84 external competitors over 3 continents with ML models, which augmented global Kindle purchase by 15%. I have published 6 papers in Amazon internal AI/ML conferences, and mentored 21 engineers. At Amazon, I won the 1st prize in Hackathon22 & 2nd prize in ProdCon22 in entire India; and accomplished the Budding Star Award in my Org globally, in 2021.
I feel confident that I can perform well in this position based on my domain knowledge, leadership skills and relevant experience. Therefore, I feel I would be the perfect fit in your organization/team and would be quickly acclimatized to the work and culture.
Please feel free to have a look at my resume as well as my LinkedIn profile.
I look forward to hearing from you soon and I thank you for your time and consideration.
Regards
Expectations
As a Machine Learning scientist with over 6 years of experience, I am seeking a new job opportunity where I can continue to grow in my career and expand my skills, while also making impactful contributions to the company and its projects.
In my current role, I have honed my expertise developing machine learning models and deploying them in real-world applications. I have also gained extensive experience in coding and the development of both high-level and low-level designs. Presently, I am now seeking a new challenge where I can apply my knowledge and skills in a dynamic and innovative environment.
I am particularly interested in working for a company that prioritizes the use of cutting-edge technology and encourages its employees to think creatively and push the boundaries of what is possible. I believe that such a company will provide me with the opportunities and resources necessary to continue learning and developing my expertise in the field of machine learning. I am eager to work for a company that shares my values and is committed to using technology for good.
Overall, I am seeking a new job that will allow me to grow both professionally and personally. I believe that I can bring my passion, expertise, dedication to the table, deliver results consistently, and contribute significantly to the success of the company.
Employment Preferences
Expected Base Salary
*,*00,000 INR
Expected Hourly Rate
*,*00 INR/hr
Academic Degree
Experience
Total Professional Experience
Startup Experience
Big-Tech Companies
Enterprise Experience
Skills
- Python
- C++
- Java
- Scala
- C
- R
- Machine Learning
- Deep Learning
- Computer Vision
- NLP
- Recommendation System
- Personalization
- Reinforcement Learning
- Random Forest
- XGBoost
- TensorFlow
- Keras
- PyTorch
- PySpark
- Scikit-learn
- OpenCV
- NLTK
- MLflow
- Databricks
- Airflow
- JavaScript
- TypeScript
- React
- Ruby
- Perl
- Golang
- Kotlin
- BERT
- RoBERTa
- DistilBERT
- GPT-3
- Word2Vec
- SpaCy
- GloVe
- FastText
- A
- B Testing
- Multi-Armed Bandit
- Diffusion Models
- MySQL
- MongoDB
- Cassandra
- HBase
- DynamoDB
- Redis
- Docker
- Kubernetes
- Hadoop
- HDFS
- MapReduce
- YARN
- Oozie
- Hive
- ETL
- Spark
- Flink
- Kafka
- Storm
- BigQuery
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