CloudSufi - Senior Data Scientist - NLP/Computer Vision (6-11 yrs)

What are we looking for :

We are seeking an experienced and innovative Senior Data Scientist to join our team. As a Senior Data Scientist with expertise in statistical analysis, machine learning, and data visualization. Proficiency in data science, NLP, computer vision, and/or machine learning projects/products in industry. Strong communication skills, business acumen, and the ability to mentor junior team members are highly valued.

Job Responsibilities :

- Design, develop, and deploy robust machine learning models using cloud platforms like GCP, AWS, Azure (experience with GCP is mandatory).

- Implement MLops best practices across the entire ML lifecycle, including data versioning, model training, validation, deployment, and monitoring

- Integrate CI/CD pipelines for automated model building, testing, and deployment using GCP tools (e.g., Cloud Build, Cloud Functions) or equivalent tools on other platforms.

- Clean, pre-process, and transform large datasets for analysis.

- Effectively communicate complex data insights and MLOps strategies to both technical and non-technical audiences and document them clearly concisely

- Mentor and guide junior data scientists.

- Partner with stakeholders to identify business challenges and translate them into actionable data science projects with a focus on AI and Generative AI applications.

- Develop, train, and evaluate cutting-edge machine learning models, including Generative

- Adversarial Networks (GANs) and transformers, for tasks like image/text generation, data augmentation, and creative content development.

- Lead and mentor junior data scientists, fostering a culture of continuous learning and innovation.

- Should have working experience on LLMs including prompt engineering, fine-tuning, Retrieval Augmented Generation (RAG), and explainability.

- Coordinates with Data Engineers to build data environments providing data identified by Data Analysts, Data Integrators, Knowledge Managers, and Intel Analysts.

- Implement security measures to protect sensitive data.

- Collaborate with cross-functional teams to understand business challenges and objectives, translating complex data into actionable insights.

- Experience in Python, Java, R, PyMuPDF, Camelot, SpaCy, NLTK, TextBlob, PyTorch, email parser, pdf parser, Scikit-learn, XGBoost, LightGBM, Keras, reinforcement learning, Tesseract, Pytesseract.

- Experience in PostgreSQL, MySQL, Bigquery, Docker, Girt, MLflow,Linux and shell scripting

- In-depth understanding of CI/CD principles and tools for machine learning (e.g., Git, Jenkins, Cloud Build).

- Solid knowledge of MLOps practices and methodologies (e.g., Version Control, Model Monitoring, Experiment Tracking).

- Familiarity with Vertex AI, Vertex Pipelines, Vertex Feature Store, and Integrating with Vector Databases

- Experienced in Information Retrieval (Content Recommendation, Search Metrics, search query, document classification, entity recognition, topic modeling, etc).

Qualifications / Required Experience :

- Education : Bachelor Degree / Master's degree in Data Science .

Experience :

- 8 to 9 years of professional experience as Data Scientist.

- Minimum 6-7 years of experience with hands-on data science, NLP, computer vision, and/or machine learning projects/products in industry.

Skills :

- Deep knowledge of model development.

- Demonstrated experience applying data science methods to real-world data problems.

- Decent understanding of downstream business and supply chain.

- Must have excellent communication and interpersonal skills and work effectively in cross-functional teams.

- Able to bring ideas from conceptualization to productionalization (putting models in production) using the right tools (e.g. mlflow, kubeflow, tensorlight, etc).

- Experience utilizing visualization tools to take advantage of the growing volume of available information.

- Experience in Oil & Gas, Finance and Logistics is a plus.