Job Description : 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
ion
