Senior Data Scientist

NEW OPPORTUNITY || IMMEDIATE TO 45 DAYS JOINERS REQUIRED ||

Position Title:- Data Scientist

Experience Required:- 5+ Years

Location:- Noida, UP (Hybrid)

About the Role

We’re seeking a seasoned Senior Data Scientist to lead NLP/ML research efforts and architect end-to-end solutions. You will be instrumental in driving innovation, mentoring junior team members, and working closely with stakeholders to align AI capabilities with strategic goals.

Key Responsibilities

• Lead the development and deployment of production-grade NLP and ML models.

• Work with large language models (LLMs), RoBERTa, GPT APIs, and hybrid architectures.

• Guide and review the work of junior scientists and interns.

• Develop pipelines for training, evaluation, and continuous model monitoring.

• Collaborate with cross-functional teams to scope new projects and define success metrics.

• Write technical papers, PoCs, and support patentable innovations when applicable.

Required Skills

• 5-7 Years of deep knowledge of modern NLP architectures (transformers, LLMs, embeddings).
• Design, build, and deploy Generative AI models (e.g., LLMs, Diffusion Models) into production systems.
• Strong understanding of Neural Networks, Transformer models (e.g., BERT, GPT), and deep learning frameworks (e.g., TensorFlow, PyTorch).
• Proficiency in Python and ML libraries (e.g., Scikit-learn, Hugging Face, Keras, OpenCV).
• Proficiency in data pipelines, MLOps, model versioning, and evaluation frameworks.
• Ability to distill complex problems and explain them clearly to technical and non-technical audiences.

Preferred Qualifications

• Published work in conferences/journals or experience contributing to open-source projects.

• Familiarity with vector databases (Pinecone, FAISS), LangChain, or prompt engineering.

• Experience in managing research interns or small AI/ML teams.

Education

• Master’s or PhD in Computer Science, Machine Learning, or a related field.

Job Type: Full-time

Pay: From ₹800,000.00 per year

Application Question(s):

• How many years of total experience do you have?
• Do you have Strong understanding of Neural Networks, Transformer models (e.g., BERT, GPT), and deep learning frameworks (e.g., TensorFlow, PyTorch)?
• Are you proficient in Python and ML libraries (e.g., Scikit-learn, Hugging Face, Keras, OpenCV)?
• Do you have proficiency in data pipelines, MLOps, model versioning, and evaluation frameworks?
• Do you have deep knowledge of modern NLP architectures (transformers, LLMs, embeddings)?

Work Location: In person