Data Science Engineer

1 week ago

Hyderabad Bengaluru Pune, India Infosys Limited Full time
Job Description

5+ year experience in applying machine learning techniques to real business problems.

Key Qualifications:

- Excellent Python programming and debugging skills. (Refer to Pytho JD given below)
- Proficiency with SQL, relational databases, & non-relational databases
- Passion for API design and software architecture.
- Strong communication skills and the ability to naturally explain difficult technical topics to everyone from data scientists to engineers to business partners
- Experience with modern neural-network architectures and deep learning libraries (Keras, TensorFlow, PyTorch).
- Experience unsupervised ML algorithms.
- Experience in Timeseries models and Anomaly detection problems.
- Experience with modern large language model (Chat GPT/BERT) and applications.
- Expertise with performance optimization.
- Experience or knowledge in public cloud AWS services - S3, Lambda.
- Familiarity with distributed databases, such as Snowflake, Oracle.
- Experience with containerization and orchestration technologies, such as Docker and Kubernetes.

Role Description:

- Managing large machine learning applications and designing and implementing new frameworks to build scalable and efficient data processing workflows and machine learning pipelines.
- Build the tightly integrated pipeline that optimizes and compiles models and then orchestrates their execution.
- Collaborate with CPU, GPU, and Neural Engine hardware backends to push inference performance and efficiency
- Work closely with feature teams to facilitate and debug the integration of increasingly sophisticated models, including large language models
- Automate data processing and extraction
- Engage with sales team to find opportunities, understand requirements, and translate those requirements into technical solutions.
- Develop reusable ML models and assets into production.
- 2+ years Python/Data Science skillset
- 5 years of experience with building data pipelines, data processing and reporting using Python
- Python libraries numpy, Pandas, matplotlib, seaborn, Scikitlearn Data Science Data Manipulation, Wrangling, time series forecasting etc prior experience in any data science project building data pipelines, data processing and reporting
- Experience of using Agile based development methodologies
- Good understanding software development and Enterprise architecture patterns
- Hands-on experience with open source big data technologies
- Data processing experience with Streaming, data wrangling, crawling using Python libraries
- Expertise and understanding of common methods in data transformation
- Ability to understand API Specs, determine relevant API calls,
- ETL i.e. Extract->Transform->Load data and implement SQL friendly data structures
- Experience on using GIT , resolving conflicts, working with branches
- Understanding and exposure to file formats such as Apache AVRO, Parquet

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