Chennai, Tamil Nadu, India
Information Technology
Full-Time
Evnek
Overview
Job Title: Senior Data Scientist
Experience: 7-9Yrs
Location: Hyderabad
Notice Period: Immediate Joiner Only
Role Overview
We are seeking a highly skilled Senior Data Scientist with strong expertise in Machine Learning and Artificial Intelligence to join our team on a 6-month contract. The ideal candidate will have deep hands-on experience in designing, developing, and deploying scalable ML/AI solutions, along with exposure to LLM-based systems and cloud-native deployments.
This role requires strong problem-solving skills, production-level experience, and the ability to work in a fast-paced, collaborative environment.
Must-Have Skills & Experience
- 7+ years of hands-on experience as a Data Scientist.
- Strong understanding of Machine Learning & AI algorithms, including:
- Linear Regression
- Logistic Regression
- Decision Trees
- K-Nearest Neighbors
- Neural Networks
- Random Forests
- NLP/NLU techniques
- 5+ years of experience working with ML/DL frameworks such as:
- TensorFlow
- PyTorch
- Keras
- Apache Spark MLlib
- 4+ years of strong programming experience in:
- Python
- R
- Scala
- Go
- Good experience with version control systems such as Git.
- Experience designing and implementing end-to-end ML pipelines.
Good to Have Skills
- Experience with Prompt Engineering and RAG (Retrieval-Augmented Generation) system setup.
- Hands-on experience working with LLMs to solve real-world business problems.
- Experience building microservices using container technologies such as:
- Docker
- Kubernetes
- Experience deploying and managing services in Kubernetes environments.
- Experience with AWS services such as:
- Amazon SageMaker
- Amazon Comprehend
- Amazon Lex
- Amazon Rekognition
- Amazon Transcribe
- Amazon EKS
- AWS Lambda
- Amazon S3
- Experience troubleshooting and supporting production systems.
- Strong understanding of CI/CD tools such as:
- Jenkins
- GitLab
Key Responsibilities
- Design, develop, and optimize ML/AI models for production environments.
- Build and deploy scalable NLP and LLM-based solutions.
- Develop and maintain robust data pipelines and model training workflows.
- Implement RAG systems and prompt engineering strategies.
- Deploy and monitor ML services in Kubernetes environments.
- Collaborate with cross-functional teams to translate business requirements into AI-driven solutions.
- Ensure model performance, scalability, and reliability in production.
- Contribute to CI/CD pipelines and automation of ML workflows.
Qualification
- Bachelor’s degree in Data Science or related field (Mandatory).
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