Senior Machine Learning Engineer

1 month ago

Gurugram, India Redbox HR Consulting Full time

Role : Senior ML Engineer

Location : Gurgaon/Pune/hyd (Hybrid)

Must Have Skills : Data Science, Python, ML, MLOps, LLM, Langchain, RASA, GCP

Key Skills : Data Science, Python, ML, MLOps, LLM, Langchain, RASA, GCP, QLORA, and PEFT, NLP, Deep Learning, Gen AI

Description :

- 4-7 years of experience in Data Science, machine learning, MLOps and Analytics.

- Proficient in python and SQL

- Experience in model deployment and productionize models in cloud (GCP)

- Experience with LLM orchestration frameworks like Langchain, RASA, etc

- 4 to 7 years of relevant work experience in NLP, ML, and Deep Learning techniques

- Skills in Prompt engineering, training, and fine-tuning large language models using new Generative AI techniques such as QLORA, and PEFT.

- Exposure to Deep learning frameworks like Pytorch and TensorFlow.

- 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

Nice to Have :

- Prior experience in building Chabot applications will be greatly appreciated

- Any Generative AI course will be an added advantage.

Role & Responsibilities :

- Be responsible for data collection & pre-processing, model selection & training, NLP implementation, integration development, response generation, testing & evaluation, and iterative improvement.

- Conduct POCs to find the best frameworks to create LLM guardrails.

- 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 US) to drive the project execution.

- Keep all the stakeholders updated about the project status/risks/issues if there are any.

- Work closely with the management wherever and whenever required, to ensure smooth execution and delivery of the project.

- Should be comfortable working in a hybrid model from the client's Gurgaon office.

(ref:hirist.tech)

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