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Machine Learning Engineer

Machine Learning Engineer

AiSensyHaryāna, Republic Of India, IN
12 hours ago
Job description

About AiSensy

AiSensy is a WhatsApp based Marketing & Engagement platform helping businesses like Adani, Delhi Transport Corporation, Yakult, Godrej, Aditya Birla Hindalco., Wipro, Asian Paints, India Today Group Skullcandy, Vivo, Physicswallah, Cosco grow their revenues via WhatsApp.

  • Enabling 150,000+ Businesses with WhatsApp Engagement & Marketing
  • 800Crores + WhatsApp Messages done between Businesses and Users via AiSensy per year
  • Working with top brands like Delhi Transport Corporation, Vivo, Physicswallah & more
  • High Impact as Businesses drive 25-80% Revenues using AiSensy Platform
  • Mission-Driven and Growth Stage Startup backed by Marsshot.Vc, Bluelotus.Vc & 50+ Angel Investors

About the Role

We are seeking a highly skilled and innovative AI / ML Engineer to join our dynamic team. In this role, you will design, develop, and deploy cutting-edge artificial intelligence (AI) solutions, leveraging advanced machine learning (ML) techniques and AI frameworks to address complex business challenges. You will work closely with cross-functional teams to build intelligent systems and drive innovation, with a focus on implementing and optimizing modern AI technologies such as Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI Agents.

Key Responsibilities

AI Model Development

  • Design, develop, and optimize AI solutions, including LLMs , RAG architectures , and Graph-based RAG systems , tailored to specific business needs.
  • Develop and fine-tune models for tasks such as Natural Language Processing (NLP) , Computer Vision , and Reinforcement Learning (RL) .
  • Prompt Engineering and AI Agents

  • Work with prompt optimization to enhance LLM-based responses for specific use cases.
  • Develop autonomous AI agents capable of completing multi-step tasks with minimal human intervention.
  • Data Processing and Management

  • Collect, clean, preprocess, and organize datasets for effective AI and ML model training and evaluation.
  • Leverage graph databases and vector stores for efficient data retrieval in AI-driven systems.
  • Algorithm Selection and Optimization

  • Choose and implement appropriate algorithms, considering constraints such as scalability, interpretability, and real-time deployment requirements.
  • Conduct hyperparameter tuning and optimization experiments to maximize model efficiency and accuracy.
  • Deployment and Integration

  • Deploy AI / ML models in production-grade environments , ensuring scalability, reliability, and seamless integration with existing systems.
  • Implement model monitoring pipelines to ensure performance consistency over time.
  • Research and Development

  • Stay abreast of the latest trends and advancements in AI and ML technologies, such as transformer architectures , diffusion models , and multi-modal AI .
  • Experiment with emerging tools like LangChain , Hugging Face , and OpenAI APIs to innovate solutions.
  • Collaboration and Knowledge Sharing

  • Work closely with data scientists, software engineers, and product managers to define project requirements and deliver impactful AI solutions.
  • Document workflows, processes, and findings to enable knowledge sharing and continuity across teams.
  • Required Qualifications

    Education

  • Bachelor’s or Master’s degree in Computer Science, AI, Data Science, Engineering, Mathematics, or a related field.
  • Experience

  • Minimum 3+ years in AI / ML roles with a proven track record in building and deploying AI-driven solutions.
  • Technical Proficiency

  • Proficiency in Python and AI / ML frameworks like TensorFlow , PyTorch , scikit-learn , or Keras .
  • Experience working with LLMs , transformers , and generative AI tools .
  • Familiarity with cloud platforms such as AWS , Google Cloud , or Azure , including AI-focused services like SageMaker and Vertex AI.
  • Knowledge of vector databases (e.G., Pinecone, Milvus, Weaviate) and graph databases for RAG systems.
  • Analytical Expertise

  • Strong understanding of advanced statistical methods , mathematical concepts , and probabilistic models .
  • Ability to analyze and interpret data for actionable insights and model improvements.
  • Soft Skills

  • Exceptional problem-solving and critical-thinking abilities.
  • Strong communication skills to effectively collaborate with cross-functional teams.
  • Adaptability to a fast-paced, innovation-driven environment.
  • Preferred Qualifications

  • Hands-on experience with LangChain , Hugging Face Transformers , or OpenAI API integrations .
  • Expertise in specialized AI domains like multi-modal learning, conversational AI , and prompt engineering .
  • Contributions to open-source AI projects or publications in recognized AI / ML conferences or journals.
  • Familiarity with deploying AI Agents in production systems.
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    Machine Learning Engineer • Haryāna, Republic Of India, IN

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