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Senior Machine Learning Engineer

Senior Machine Learning Engineer

DataNimbus

5 years

0 Lacs

hyderabad telangana india

Posted:2 days ago| Platform:

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Skills Required

learning data ai drive efficiency etl integration cutting technology adaptability scalability security querying content architecture tooling ml mlflow gensim nltk tensorflow aws azure gcp drift processing tuning engineering statistics research teaching collaboration apache spark databricks training

Work Mode

On-site

Job Type

Full Time

Job Description

About DataNimbus

Data and AI

responsible innovation, adaptability, and customer-centricity

Why Join DataNimbus?

sustainable, AI-driven future

Work with cutting-edge technologies and
revolutionize workflows in Data+AI solutions.
Contribute to solutions that are
trusted by global businesses
for their scalability, security, and efficiency.
Grow personally and professionally
in a culture that values curiosity and continuous learning.

DataNimbus is the place for you.

Key Responsibilities:

Build and increase customer data science workloads and apply the best MLOps to productionize these workloads across a variety of domains
Develop LLM solutions on customer data such as RAG architectures on enterprise knowledge repos, querying structured data with natural language, and content generation
Advise data teams on several data science such as architecture, tooling, and best practices
Provide technical mentorship to the larger ML Subject Matter Expert community.

Required Qualifications:

5-8 years of hands-on industry data science experience, using typical machine learning and data science tools including pandas, mlflow, scikit-learn, gensim, nltk, and TensorFlow/PyTorch
Experience building production-grade machine learning deployments on AWS, Azure, or GCP including drift monitoring
Experience with the latest techniques in natural language processing including vector databases, fine-tuning LLMs, and deploying LLMs with tools such as HuggingFace, Langchain, and OpenAI
Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research) or equivalent practical experience
Experience communicating and teaching technical concepts to non-technical and technical audiences alike
Passion for collaboration, life-long learning, and driving value through ML
[Preferred] Experience working with Apache Spark™ to process large-scale distributed datasets
[Preferred] Experience working with the Databricks platform
[Preferred] 2+ years customer-facing experience in a pre-sales or post-sales role
Can meet expectations for technical training and role-specific outcomes within 3 months of hire

Interested?

Send in your CV to careers@datanimbus.com ASAP!

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