Principal Machine Learning Engineer
2 months ago
Role : Principle ML Engineer
Experience : 8+ Years
Location : Pune, Gurgaon, Hyderabad (Hybrid)
Must-Have Skills : Data Science, Python, ML, MLOps, DevOps, AWS , Sage maker
Job Description :
- 9+ years of experience in Data Science, machine learning, DevOps, ML Ops and Analytics.
- Proficient in various ML algorithms, python, and SQL
- Experience in model deployment and production models in the cloud (AWS)
- 8 to 10 years of relevant work experience in NLP, ML, and Deep Learning techniques
- Exposure to Deep learning frameworks like Py torch and TensorFlow will be an added advantage.
- Experience with statistical evaluation of models and data governance to support Model audits
- Good aptitude, strong problem-solving abilities, and analytical skills, ability to take ownership as appropriate
- Should be able to do coding, debugging, performance tuning, and deploying the apps to the Production environment.
- Experience working in Agile Methodology
- Ability to learn and help the team learn new technologies quickly
- Excellent communication and coordination skills
- Must be able to integrate quickly into the team and work independently towards team goals
Role & Responsibilities :
- Be responsible for data collection & pre-processing, model selection & training, NLP implementation, integration development, response generation, testing & evaluation, and iterative improvement.
- Drive Software engineering practices to the ML world and conduct POCs to find the best frameworks
- Take complete responsibility for the project execution
- Be accountable for the delivery of the project within the defined timelines with good quality
- Define and follow the processes for project execution and delivery.
- Drive and motivate the team to be agile and follow agile methodology
- Guide the team technically and give the team direction on how to plan, design, implement, and deliver the projects.
- Involve the team during the brainstorming sessions as appropriate.
- Work with the clients and counterparts (in the UK) to drive the project execution.
- Keep all the stakeholders updated about the project status/risks/issues if there are any.
- Work closely with the Sr management wherever required, to ensure smooth execution and delivery of the project.
- Should be comfortable working in a Hybrid model
Education : BE/B.Tech/BSc from a reputed institute.
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