Senior AI/ML Engineer

Roles and Responsibilitie

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

I.Qualificatio

• ns:Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related fie
• ld.4.5+ years of experience in designing, developing, and deploying AI/ML solutio
• ns.Strong understanding of AI/ML algorithms, deep learning architectures, and frameworks such as TensorFlow, PyTorch, OpenCV, and Scikit-lea
• rn.Proficient in Python and experienced with frameworks like LangChain, TensorFlow, PyTorch, and Hugging Fa
• ce.Experience with cloud platforms such as AWS, GCP, and Azure, and familiarity with managed AI/ML services (e.g., SageMaker, Vertex A
• I).Expertise in Natural Language Processing (NLP), Computer Vision, and model deployment workflo
• ws.Hands-on experience developing and deploying Generative AI applications, including LLMs, diffusion models, and transformer-based architectur
• es.Familiar with vector databases (e.g., FAISS, Pinecone, Chroma) and embedding-based retrieval syste
• ms.Experience with MLOps practices, including CI/CD, model versioning, monitoring, and scali
• ng.Knowledge of Big Data platforms such as Apache Kafka, Hadoop, and Snowflake, and experience using PySpark and Databricks for data engineering tas
• ks.Strong software engineering background with a focus on clean, efficient, and maintainable co
• de.Excellent analytical, problem-solving, and communication skil
• ls.Familiarity with Generative AI frameworks and APIs such as OpenAI, Anthropic, or Stability AI is an advanta
• ge.Experience with distributed systems and model optimization is a pl
• us.Ability to work independently, communicate effectively with clients, and mentor junior team membe
• rs.Ability to thrive in a fast-paced, dynamic, and innovation-driven environme
• nt.Passionate about leveraging AI and Generative AI technologies to drive real-world business growth and innovat