Senior AI/ML Engineer

Roles and 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:

• Bachelor’s or Master’s 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.

Location: Ahmedabad (Work From Office)

Experience: 4 +Years