AI/ML Engineer

Baadalsoft is seeking an AI/ML Engineer, who is responsible for designing, developing, and deploying advanced AI/ML solutions to solve complex business challenges. This role requires expertise in machine learning, deep learning, MLOps, and AI model optimization, with a focus on building scalable, high-performance AI systems.

?Responsibilities

• Design, develop, and deploy robust & scalable AI/ML models in Production environments.
• Collaborate with business stakeholders to identify AI/ML opportunities and define measurable success metrics.
• Design and build Retrieval-Augmented Generation (RAG) pipelines integrating vector stores, semantic search, and document parsing for domain-specific knowledge retrieval.
• Integrate Multimodal Conversational AI platforms (MCP) including voice, vision, and text to deliver rich user interactions.
• Drive innovation through PoCs, benchmarking, and experiments with emerging models and architectures.
• Ensure compliance with AI ethics guidelines, data privacy laws (GDPR, CCPA), and corporate AI governance.
• Work closely with data engineers, software developers, and domain experts to integrate AI into existing systems.
• Conduct AI/ML training sessions for internal teams to improve AI literacy within the organization.

Qualifications

• Bachelor&aposs degree (BTech/MCA/MSc) in computer science or data science or related field
• 3+ years of experience in AI/ML solutions development, deployment, and optimization
• Solid understanding of AI/ML life cycle Data preprocessing, feature engineering, model selection, training, validation and deployment.
• Proficiency in Python and ML frameworks (scikit-learn, TensorFlow, PyTorch, NumPy, Pandas, Matplotlib etc.) to implement models and algorithms.
• Strong foundation with expertise in neural networks, optimization techniques and model evaluation Experience with LLMs, Transformer architectures (BERT, GPT, LLaMA, Claude, Gemini, Gork, etc.), RAG architecture, Vector databases
• Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, with tools such as HuggingFace, LangChain, and DSPy
• Experience with Reinforcement Learning and multi-agent systems for decision-making in dynamic environments. Knowledge of multimodal AI (integrating text, image, other data modalities into unified models)
• Cloud-based AI/ML experience (Azure ML, AWS Sagemaker, GCP Vertex AI, etc.)
• Well versed with Agentic AI
• Ideal candidate will possess a can do attitude with a will do work ethic
• Must be a self-starter that does not require constant direction
• Excellent communication and problem-solving skills with ability to communicate effectively across all levels of operations/users