Data Scientist

1 month ago

Bangalore, India Softpath Technologies LLC Full time

Job Description : Senior Data Scientist

Location : Bangalore

Experience : 8+ years

About the Role :

We are seeking an experienced and dynamic Senior Data Scientist to join our Client team in Bangalore. The ideal candidate will have substantial hands-on experience in data science, machine learning (ML), and artificial intelligence (AI), with a proven track record of delivering impactful use cases. This role requires deep expertise in ML and deep learning (DL) frameworks, practical experience with generative AI components, and a strong background in building APIs and microservices.

Key Responsibilities :

- Data Science & ML Expertise : Apply advanced data science techniques and ML algorithms to develop and implement models that drive business insights and solutions.

- Generative AI : Develop and implement proof-of-concepts (POCs) involving generative AI components, demonstrating a basic to intermediate understanding of these technologies.

- Frameworks Proficiency : Utilize ML frameworks such as LLama, Gemini, PyTorch, TensorFlow, or Keras to build, train, and optimize models.

- API & Microservices Development : Design and develop APIs and microservices to integrate ML solutions with applications and services.

- Database Management : Work with both SQL and NoSQL databases to efficiently manage and manipulate data.

- MLOps (Optional) : Apply knowledge of MLOps practices and tools, including Kubernetes, to enhance deployment and monitoring of ML models.

Skills & Experience :

- Experience : 8 + years of hands-on experience in data science, machine learning, and artificial intelligence.

- ML & DL Expertise : Proven experience with ML and DL frameworks, having successfully delivered use cases in these areas.

- Generative AI : Experience with generative AI technologies, including basic-level POCs.

- Frameworks : Strong hands-on experience with ML frameworks such as LLama, Gemini, PyTorch, TensorFlow, or Keras.

- Database Skills : Proficiency in SQL and NoSQL databases.

- API Development : Experience in building APIs and microservices.

- MLOps (Good to Have) : Knowledge of MLOps practices and familiarity with Kubernetes.

Qualifications :

- Education : A relevant degree in Computer Science, Data Science, Engineering, or a related field.

- Certifications : Relevant certifications in data science, machine learning, or AI are a plus.

(ref:hirist.tech)

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