Netcore Cloud

3 weeks ago

Bengaluru, Karnataka, India NETCORE CLOUD PRIVATE LIMITED Full time

Role Summary :


As a Senior Data Scientist, youll work on developing, deploying, and optimizing advanced machine learning solutions across a range of problem statements such as personalization, customer segmentation, predictive modeling, and NLP. This is a high-impact role that will allow you to collaborate across cross-functional teams and contribute directly to our product innovation You'll Do Development and Innovation :- Design and implement ML models for problems including recommendation engines, user segmentation, conversion prediction, and NLP-based automation.

- Stay on top of the latest research in AI/ML and evaluate new approaches (e.g., LLMs, generative AI) for practical application.

- Optimise model performance, scalability, and interpretability for production & Deployment :

- Contribute to the deployment of models into production environments using MLOps best practices.

- Leverage platforms such as AWS SageMaker or Google Vertex AI for training, tuning, and scaling & Experimentation :

- Work with large-scale, real-time datasets to derive actionable insights and build data pipelines for ML training and evaluation.

- Design and run experiments (A/B testing, uplift modeling, etc.) to validate hypotheses and improve product and Tools :

- Work with large-scale datasets, ensuring data quality and scalability of solutions.

- Leverage cloud platforms like AWS, GCP for model training and deployment.

- Utilize tools and libraries such as Python, TensorFlow, PyTorch, Scikit-learn, and Spark for development.
With so much innovation happening around Gen AI and LLMs, we prefer folks who have already exposed themselves to this exciting opportunity via AWS Bedrock or Google Collaboration

- Partner with product, engineering, and marketing teams to understand business requirements and translate them into data science You Are :- Bachelors from Tier 1 premier institute in relevant field, or;

- Masters or PhD in Computer Science, Data Science, Mathematics, or a related :

- 5 to 8 years of hands-on experience in machine learning or data science roles.

- Proven expertise in machine learning, deep learning, NLP, and recommendation systems.

- Hands-on experience deploying ML models in production at scale.

- Experience in a product-focused or customer-facing domain such as Martech, Adtech, or B2B SaaS is a Skills :

- Proficiency in Python, SQL, and ML frameworks like TensorFlow or PyTorch.

- Strong understanding of statistical methods, predictive modeling, and algorithm design.

- Familiarity with cloud-based solutions (AWS Sagemaker, GCP AI Platform, or Skills :

- Strong analytical and problem-solving mindset.

- Excellent communication skills to articulate data-driven insights.

- A passion for innovation and staying up-to-date with the latest trends in AI/ML.

(ref:hirist.tech)

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