Senior Data Scientist

Codezeros; India; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Codezeros is looking for an experienced professional to oversee the lifecycle of AI/ML features, ensuring their successful implementation and scalability. This role involves training and fine-tuning AI models while coordinating with cross-functional teams to deliver AI-driven projects.

The ideal candidate has over 5 years of experience in AI/ML solutions, strong programming skills in Python, and expertise with frameworks like TensorFlow and PyTorch. Candidates will also be mentoring junior engineers and contributing to innovative projects using state-of-the-art AI technologies.

Qualifications

• 5+ years of experience designing, developing, and deploying AI/ML solutions.
• Strong understanding of AI/ML algorithms and deep learning architectures.
• Hands-on experience with Generative AI applications, including LLMs.

Responsibilities

• Oversee lifecycle of AI/ML features ensuring successful implementation.
• Train, evaluate, and fine-tune AI/ML models.
• Coordinate delivery of AI-driven projects with cross-functional teams.

Skills

AI/ML solutions

Python

Natural Language Processing (NLP)

Deep Learning

Generative AI

Education

Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science

Tools

TensorFlow

PyTorch

LangChain

Hugging Face

AWS

GCP

Azure

Job description

• Oversee the entire lifecycle of AI/ML features, ensuring their successful implementation, scalability, and maintenance.
• Train, evaluate, and fine-tune AI/ML models using the most suitable techniques, architectures, and frameworks.
• Implement key machine learning strategies across the business and collaborate with stakeholders for effective delivery.
• Coordinate end-to-end delivery of AI-driven projects, working closely with cross-functional teams including data engineering, product, and DevOps.
• Stay up-to-date with the latest AI/ML and Generative AI research, frameworks, and tools to contribute to continuous innovation.
• Develop and maintain comprehensive documentation for AI and data science solutions.
• Develop and maintain APIs and microservices for integrating AI models with other business systems and products.
• Perform model testing, monitoring, and troubleshooting to ensure accuracy, reliability, and efficiency in production environments.
• Design, build, and deploy Generative AI components (e.g., large language models, text/image generation, summarization tools) to enhance product capabilities.
• Leverage frameworks such as LangChain, Hugging Face, and OpenAI APIs to integrate LLM-based features into existing workflows and systems.
• Experiment with retrieval-augmented generation (RAG), embeddings, and prompt engineering techniques to improve model outputs.
• Collaborate with cloud and DevOps teams to implement MLOps pipelines for continuous integration, delivery, and monitoring of AI models.
• Provide technical support and knowledge transfer to clients and internal teams, ensuring smooth adoption of AI technologies.
• Contribute to AI governance and ethical considerations for responsible AI usage.
• Mentor junior engineers and foster a culture of experimentation and learning in advanced AI areas, including Generative AI.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• 5+ years of experience in designing, developing, and deploying AI/ML solutions.
• Strong understanding of AI/ML algorithms, deep learning architectures, and frameworks such as TensorFlow, PyTorch, OpenCV, and Scikit-learn.
• Proficient in Python and experienced with frameworks like LangChain, TensorFlow, PyTorch, and Hugging Face.
• Experience with cloud platforms such as AWS, GCP, and Azure, and familiarity with managed AI/ML services (e.g., SageMaker, Vertex AI).
• Expertise in Natural Language Processing (NLP), Computer Vision, and model deployment workflows.
• Hands-on experience developing and deploying Generative AI applications, including LLMs, diffusion models, and transformer-based architectures.
• Familiar with vector databases (e.g., FAISS, Pinecone, Chroma) and embedding-based retrieval systems.
• Experience with MLOps practices, including CI/CD, model versioning, monitoring, and scaling.
• Knowledge of Big Data platforms such as Apache Kafka, Hadoop, and Snowflake, and experience using PySpark and Databricks for data engineering tasks.
• Strong software engineering background with a focus on clean, efficient, and maintainable code.
• Excellent analytical, problem-solving, and communication skills.
• Familiarity with Generative AI frameworks and APIs such as OpenAI, Anthropic, or Stability AI is an advantage.
• Experience with distributed systems and model optimization is a plus.
• Ability to work independently, communicate effectively with clients, and mentor junior team members.
• Ability to thrive in a fast-paced, dynamic, and innovation-driven environment.
• Passionate about leveraging AI and Generative AI technologies to drive real-world business growth and innovation.