Principal Machine Learning Engineer

1 month ago


Gurugram, India LnS Infotech Full time

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.

(ref:hirist.tech)

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