Data Scientist

Position           : Sr/Lead – Data Scientist

Grade              : F3/F4

Location          :  Bangalore

We are seeking an experienced Senior Data Science Engineer to join our innovative team. As a Machine Learning and Generative AI Specialist, you will play a critical role in developing and deploying advanced ML models and algorithms to drive data-driven decision-making processes. Here are the key responsibilities and desired skills:

Algorithm Development:

• Design and implement machine learning algorithms for various applications, including natural language processing (NLP), recommendation systems, and predictive analytics.
• Leverage your expertise in deep learning and generative AI to create innovative solutions.

Data Processing and Analysis:

• Collect, preprocess, and analyze large-scale datasets.
• Apply statistical techniques and feature engineering to extract meaningful insights from data.

Model Training and Evaluation:

• Train and fine-tune ML models using Python and relevant libraries (e.g., TensorFlow, PyTorch).
• Evaluate model performance using appropriate metrics and iterate to improve accuracy and efficiency.

Deployment and Monitoring:

• Deploy ML models to production environments (e.g., cloud platforms such as Azure, AWS, or GCP).
• Monitor model performance, troubleshoot issues, and ensure robustness and reliability.

Collaboration and Communication:

• Collaborate with cross-functional teams, including data scientists, engineers, and product managers.
• Communicate results and insights effectively to technical and non-technical stakeholders.

Desired Skills:

• 4 to 8 Years of relevant experience in Data Scientist
• Machine Learning: Strong knowledge of ML algorithms, including supervised and unsupervised learning.
• Generative AI: Experience with generative models (e.g., GANs, VAEs) and their applications.
• Python: Proficiency in Python for data analysis, model development, and scripting.
• Cloud Platforms: Hands-on experience with Azure, AWS, or GCP for model deployment and scalability.
• Natural Language Processing (NLP): Understanding of NLP techniques, sentiment analysis, and text generation.