AI/ML Engineer

• Design, develop, and deploy scalable AI/ML solutions for complex business challenges.
• Lead end-to-end machine learning lifecycle activities including data preparation, feature engineering, model development, evaluation, deployment, monitoring, and optimization.
• Architect and implement advanced machine learning, deep learning, NLP, computer vision, recommendation systems, and predictive analytics solutions.
• Develop and optimize Generative AI applications leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), vector databases, prompt engineering, and AI agents.
• Build and maintain robust MLOps pipelines for automated model training, deployment, versioning, monitoring, and governance.
• Collaborate with data scientists, data engineers, software engineers, product managers, and business stakeholders to translate business requirements into AI solutions.
• Drive AI architecture discussions and establish best practices for model development, deployment, scalability, and security.
• Evaluate emerging AI/ML technologies, frameworks, and industry trends to recommend innovative solutions.
• Develop APIs and microservices for model serving and AI application integration.
• Ensure model reliability, explainability, fairness, compliance, and responsible AI practices.
• Optimize model performance, inference latency, and resource utilization in production environments.
• Lead code reviews, technical design reviews, and architecture governance activities.
• Mentor junior engineers and provide technical leadership across AI/ML initiatives.
• Define standards and best practices for machine learning engineering, experimentation, and model governance.
• Work closely with DevOps and cloud teams to implement scalable AI infrastructure.
• Support production deployments, troubleshooting, monitoring, and continuous improvement initiatives.

We are seeking an experienced and highly skilled Senior AI/ML Engineer with 12+ years of overall IT experience and extensive expertise in designing, developing, deploying, and scaling enterprise-grade Artificial Intelligence and Machine Learning solutions. The ideal candidate will have a strong background in machine learning, deep learning, generative AI, MLOps, cloud platforms, and large-scale data processing. This role requires technical leadership, architectural decision-making, mentoring capabilities, and the ability to collaborate with cross-functional teams to deliver innovative AI-driven products and solutions., * Bachelor''s or Master''s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Mathematics, Statistics, or a related field.

• 12+ years of overall software engineering experience with at least 6+ years focused on AI/ML engineering.
• Strong expertise in Machine Learning, Deep Learning, Statistical Modeling, and Predictive Analytics.
• Hands-on experience with Python and AI/ML development ecosystems.
• Extensive experience with TensorFlow, PyTorch, Scikit-learn, Keras, XGBoost, and related frameworks.
• Strong knowledge of NLP, Transformers, LLMs, Generative AI, and foundation models.
• Experience building RAG architectures, vector search solutions, AI copilots, and conversational AI systems.
• Expertise in prompt engineering, fine-tuning, model evaluation, and LLM optimization techniques.
• Experience working with vector databases such as Pinecone, Weaviate, Chroma, or FAISS.
• Strong understanding of distributed data processing frameworks including Spark and Databricks.
• Experience with cloud platforms such as AWS, Azure, and Google Cloud Platform.
• Hands-on experience with containerization and orchestration technologies including Docker and Kubernetes.
• Strong knowledge of MLOps tools such as MLflow, Kubeflow, Airflow, SageMaker, Azure ML, or Vertex AI.
• Experience building REST APIs using FastAPI, Flask, or similar frameworks.
• Proficiency with SQL and NoSQL databases.
• Experience implementing CI/CD pipelines for AI/ML applications.
• Strong understanding of software engineering principles, design patterns, and scalable system architecture.
• Experience working in Agile/Scrum environments., * Experience with multi-agent AI systems and autonomous AI workflows.
• Knowledge of Graph RAG, Knowledge Graphs, and semantic search architectures.
• Exposure to reinforcement learning and advanced deep learning techniques.
• Experience with AI governance, model explainability, and responsible AI frameworks.
• Familiarity with streaming platforms such as Kafka and real-time AI applications.
• Experience in healthcare, finance, retail, manufacturing, or enterprise AI domains.
• Relevant certifications in AWS, Azure, Google Cloud Platform, AI/ML, or Data Engineering., * Technical Leadership and Solution Architecture
• Strategic Problem Solving
• Stakeholder Management
• Mentoring and Team Development
• Strong Communication and Presentation Skills
• Innovation Mindset and Continuous Learning
• Enterprise Solution Design
• Cross-functional Collaboration
• Ownership and Accountability