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Lead Data Scientist

4 weeks ago

Delhi, Delhi, India Self Employed Full time

Role Description : This is a full-time remote role for a Data Scientist at Bideye.

Primary Skills : Data Science, AI/ML, GenAI, LLM, NLP, Any Cloud (Azure/AWS/GCP)

Roles & Responsibilities :

- Develop custom data models and algorithms to apply to data sets.

- Developing and implementing advanced machine learning models to address complex problems.

- Clearly communicate findings and recommendations, data-driven insights to PMs and executives.

- Develop custom data models and algorithms to apply to data sets.

- Developing and implementing advanced machine learning models to address complex problems.

- Lead and mentor a team of data scientists, providing guidance on best practices and technical expertise.

- Collaborate with cross-functional teams to define data-driven strategies and integrate data science solutions into products.

- Continuously evaluate and improve the performance of existing models and algorithms.

- Stay updated with the latest advancements in AI/ML and propose innovative solutions to enhance the company's :


- Bachelors/Masters degree in Computer Science, Engineering, or a related technical field with minimum 5-8 years' experience.

- Minimum of 2 years of experience in leading a team of junior Data Scientist.

- Should have been involved in end-to-end delivery of the scalable, optimized and enterprise AI solutions.

- Experience in performing prompt engineering and fine-tuning of the AI/ML, GenAI, LLM models

- Practical hands-on fine-tuning/transfer learning/optimization of the Transformer architecture based Deep Learning models.

- Experience in NLP tools such as Word2Vec, TextBlob, NLTK, SpaCy, Gensim, CoreNLP, BERT, GloVe etc.

- Experience in AWS / Azure / GCP cloud and deploying the APIs using the latest frameworks like FastAPI/ gRPC etc.

- Experience in Docker for deploying the containers.

- Deployment of the ML models on the Kubernetes clusters

- Experience in NoSQL/SQL databases.

- Good programming skills in Python.

- Domain knowledge in Online Reputation management or experience in a product-based company (added advantage).

- Expertise in delivering end-to-end analytical solutions covering multiple technologies & tools to multiple business problems.

- Understanding of big data technologies like Hadoop, Spark, and Hive.

- Strong knowledge of statistical methods and experimental design.

- Experience with MLOps practices for CI/CD in machine learning.

Strong project management skills, with the ability to manage multiple projects communication and presentation skills, with the ability to explain complex technical concepts to non-technical stakeholders.

(ref:hirist.tech)