Title: MLE (Machine Learning Engineer)
Type: Full Time
Location: Hyderabad
Salary: Open (INR)
Requirements
Job Description
Apply strong software engineering & machine learning expertise to industrialize predictive & prescriptive solutions across big datasets and handle both streaming and non-streaming analytics use cases. Having deep understanding of analytics and data science, you will engineer performant and robust code and apply best in class development frameworks.
- BSc/MSc in computer science, mathematics or related technical discipline
- 1-4 years’ experience in software engineering with exposure to statistical and/or data science role (5-10 years for Senior ML Engineer)
- Deep knowledge and proven experience with optimizing machine learning model in a production context
- Experience with Python or Scala is required. Background in programming in C, C++, Java is beneficial. Exposure to both streaming and non-streaming analytics Experience with SQL, Spark, Pandas, Numpy, SciPy, Statsmodels, Stan, pymc3, Caret, Scikit-learn, Keras, TensorFlow, Pytorch, Databricks is beneficial.
- Experience working with large data sets, simulation/optimisation and distributed computing tools (Map/Reduce, Hadoop, Hive, Spark, Gurobi, Arena, etc.)
- Refactor prototypes of predictive models into highly performant, production ready solutions
- Work closely with Data Engineers and Data Scientists to create analytical variables, metrics, and models
- Work closely with data scientists to solve difficult engineering and machine learning problems and produce high-quality code
- Choose and use the right analytical libraries, programming languages, and frameworks for each task
- Contribute to building client capabilitiesby coaching team members on data science methodologies and approaches
- Contribute to best coding and engineering practice across AI projects
- Build/refactor/develop code into reusable libraries, APIs, and tools
- Able to build a sense of trust and rapport that creates a comfortable & effective workplace; collaborative
- Attitude to thrive in a fun, fast-paced, startup-like environment
- Open minded to new approaches and learning
Key Skills:
Benefits
Note: If interested please send your updated resume to [email protected] and include your salary requirement along with your contact details with a suitable time when we can reach you. If you know of anyone in your sphere of contacts, who would be a perfect match for this job then, we would appreciate if you can forward this posting to them with a copy to us.
We look forward to hearing from you at the earliest!
