Codezeros - Senior AI/ML Engineer - Generative AI

Description :

1. Senior AI/ML Engineer

Experience : 5- 8 years

Location : Ahmedabad

Only candidates from Ahmedabad and Gujarat will be given preference.

Job Role & Responsibilities :

- 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 :

- Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or a related field.

- 4+ 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