Azure DevOps Lead

Job Description Senior AI/ML Engineer Job Summary We are seeking a highly experienced Senior AI/ML Engineer with 13+ years of experience in designing, developing, deploying, and optimizing enterprise-scale Artificial Intelligence and Machine Learning solutions. The ideal candidate will have strong expertise in Python, Machine Learning, Deep Learning, NLP, Generative AI, LLMs, MLOps, and Cloud platforms . The candidate will work closely with Data Scientists, Software Engineers, Data Engineers, Product Managers, and business stakeholders to build scalable AI/ML solutions and production-grade machine learning systems. Key Responsibilities

• Design, develop, and deploy scalable AI/ML models and applications for enterprise use cases.
• Develop machine learning pipelines covering data preparation, feature engineering, model training, validation, deployment, and monitoring.
• Build and optimize supervised and unsupervised machine learning models.
• Develop solutions using Deep Learning, NLP, Computer Vision, and Generative AI techniques.
• Design and implement LLM-based applications , including RAG, prompt engineering, embeddings, vector search, and AI agents.
• Fine-tune and evaluate large language models for specific business use cases.
• Develop production-ready AI/ML APIs and microservices using Python and frameworks such as FastAPI or Flask .
• Implement MLOps practices for model versioning, deployment, monitoring, and lifecycle management.
• Collaborate with Data Engineers to build reliable data pipelines and feature stores.
• Optimize model performance, scalability, latency, and cost.
• Conduct model evaluation, experimentation, A/B testing, and performance benchmarking.
• Monitor deployed models for accuracy, drift, bias, and performance degradation.
• Work with cloud-based AI/ML services and infrastructure.
• Perform code reviews and establish engineering standards and best practices.
• Mentor junior and mid-level AI/ML engineers.
• Communicate technical solutions and recommendations to senior leadership and business stakeholders.

• 13+ years of experience in software engineering, data science, AI/ML engineering, or related fields.
• Strong programming experience in Python .
• Extensive experience with Machine Learning algorithms and frameworks.
• Strong experience with: Scikit-learn TensorFlow PyTorch Pandas NumPy
• Strong understanding of supervised, unsupervised, and reinforcement learning concepts.
• Experience with Deep Learning and Neural Networks .
• Strong knowledge of Natural Language Processing (NLP) .
• Hands-on experience with Generative AI and Large Language Models (LLMs) .
• Experience with: RAG (Retrieval-Augmented Generation) Prompt Engineering Embeddings Vector Databases Semantic Search LLM Evaluation Model Fine-Tuning
• Experience with vector databases such as Pinecone, Weaviate, Milvus, Chroma, or FAISS .
• Strong knowledge of REST APIs and microservices.
• Experience with SQL and NoSQL databases.
• Strong understanding of data structures, algorithms, and software engineering principles.

• Experience building and managing MLOps pipelines .
• Hands-on experience with MLflow, Kubeflow, Airflow, or similar platforms.
• Experience with Docker and Kubernetes.
• Experience with CI/CD tools and DevOps practices.
• Strong experience with one or more cloud platforms: AWS Microsoft Azure Google Cloud Platform (Google Cloud Platform)
• Experience with cloud AI/ML services such as: AWS SageMaker Azure Machine Learning Google Vertex AI
• Experience with model deployment, monitoring, logging, and observability.

• Experience with Generative AI architecture and enterprise LLM applications .
• Experience developing AI-powered chatbots and virtual assistants.
• Knowledge of Agentic AI and AI Agents .
• Experience with LangChain, LlamaIndex, or similar frameworks.
• Experience with OpenAI, Azure OpenAI, Anthropic, Gemini, Llama, or other foundation models.
• Knowledge of responsible AI, model governance, security, and privacy.
• Experience with distributed computing frameworks such as Apache Spark.
• Experience with data engineering and large-scale data processing.
• Experience with Terraform and Infrastructure as Code.
• Experience working with enterprise-scale AI platforms.

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Engineering, or a related technical field. Advanced degree or relevant AI/ML certifications is a plus.

Strong analytical and problem-solving abilities. Excellent communication and collaboration skills. Ability to work with technical and non-technical stakeholders. Strong leadership and mentoring capabilities. Ability to work in a fast-paced, Agile environment. Strong ownership and ability to drive projects from concept to production.

For applications and inquiries, contact:View email address on us.fitly.work