Job Description
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 field3+ years of experience in AI / ML solutions development, deployment, and optimizationSolid 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 databasesExperience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, with tools such as HuggingFace, LangChain, and DSPyExperience 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 AIIdeal candidate will possess a "can do" attitude with a "will do" work ethicMust be a self-starter that does not require constant directionExcellent communication and problem-solving skills with ability to communicate effectively across all levels of operations / usersShow more
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