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Senior AI/ML Engineer

9 hours ago

Ahmedabad, Gujarat, India Codezeros Full time

Description

  • 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

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