Posted By
Biju
Talent Acquisition Executive at SINERGIA MEDIA LABS PRIVATE LIMITED
Last Active: 30 September 2025
Posted in
IT & Systems
Job Code
1620148

We are seeking a passionate and innovative Data Scientist to join our team and drive cutting-edge AI solutions across traditional machine learning, deep learning, and generative AI. If you enjoy solving complex problems, experimenting with the latest AI technologies, and building real-world applications, we'd love to connect.
Key Responsibilities:
- Design, develop, and optimize traditional AI/statistical models and deep learning architectures (RNN, LSTM, CNN, Transformers).
- Work with SQL, EDA, feature engineering, and data visualization to generate actionable insights.
- Build and fine-tune Generative AI, NLP, LLMs, Chatbots, Agentic AI, MCP-based systems using frameworks like OpenAI, GPT and beyond.
- Develop scalable backend solutions and model deployment pipelines using Django, FastAPI, Flask.
- Contribute to data engineering & ETL pipelines, including big data ecosystems (Spark, EMR).
- Apply MLOps best practices for continuous integration, delivery, and monitoring of models.
- Collaborate with cross-functional teams to build AI-driven applications that solve business challenges.
Required Skills & Expertise:
- Strong foundation in Computer Science, Mathematics, and Statistics.
- Hands-on experience with Python / R programming.
- Proficiency in TensorFlow, Keras, and other deep learning frameworks.
- Experience in data modeling, big data tools, and large-scale data processing.
- Knowledge of Generative AI, NLP, and LLMs (OpenAI, GPT, Transformers, etc.).
- Understanding of MLOps, deployment pipelines, and cloud-based environments.
What We Offer:
- Opportunity to work on cutting-edge AI/GenAI projects with real business impact.
- Collaborative team environment fostering learning, innovation, and growth.
- Exposure to end-to-end AI product development - from data to deployment.
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Posted By
Biju
Talent Acquisition Executive at SINERGIA MEDIA LABS PRIVATE LIMITED
Last Active: 30 September 2025
Posted in
IT & Systems
Job Code
1620148