Senior Artificial Intelligence/Machine Learning Engineer

Accountabilities:

• • Lead the design, development, and delivery of AI-driven applications, with a particular focus on RAG-based chatbot and generative AI solutions.
  • Architect scalable, reliable, maintainable AI and software solutions using Python and Java.
  • Develop and integrate machine learning, deep learning, NLP, vector database, embedding, and LLM capabilities into production applications.
  • Deploy, manage, monitor, and optimize AI applications on cloud infrastructure, particularly AWS and Azure.
  • Ensure efficient use of cloud resources while maintaining application performance, reliability, scalability, and cost effectiveness.
  • Collaborate with product, engineering, data, and other cross-functional teams to gather requirements, define scope, and deliver high-quality technical solutions.
  • Lead technical deliverables and contribute to architectural and implementation decisions throughout the project lifecycle.
  • Mentor team members on software engineering practices, AI/ML methodologies, development standards, and cloud deployment strategies.
  • Drive solution quality through testing, debugging, performance optimization, documentation, and continuous improvement.
  • Evaluate emerging AI technologies, frameworks, and methodologies and identify opportunities to incorporate them into products and solutions.
  • Contribute to Agile development practices and promote effective collaboration across distributed teams.

  Requirements:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, Mathematics, Statistics, or a related technical discipline.
  • Minimum 5 years of professional experience in AI/ML engineering or a closely related field.
  • Strong programming skills in Python and Java, with experience applying them to production-grade software and AI solutions.
  • Proven hands-on experience building RAG-based chatbots, generative AI applications, or comparable LLM-powered solutions.
  • Strong proficiency with cloud platforms, particularly AWS and Azure, including deploying and operating AI/ML workloads.
  • Solid understanding of artificial intelligence and machine learning concepts, including NLP, vector databases, embedding models, and LLM integrations.
  • Practical experience with AI/ML frameworks and libraries such as Hugging Face Transformers, TensorFlow, PyTorch, LangChain, or comparable technologies.
  • Experience leading technical projects or teams and managing complex technical deliverables.
  • Strong understanding of software engineering principles, scalable architecture, testing, debugging, and performance optimization.
  • Familiarity with Agile software development methodologies.
  • AWS certifications such as AWS Solutions Architect or AWS Machine Learning Specialty are preferred.
  • Strong analytical and problem-solving capabilities, with the ability to break down complex technical challenges into practical solutions.
  • Excellent written and verbal communication skills and the ability to collaborate effectively with cross-functional and distributed teams.
  • Curiosity and willingness to stay current with rapidly evolving AI technologies and apply relevant innovations to real-world products.

  Benefits:

  • Remote position based in India.
  • Opportunity to work on large-scale AI/ML projects with global impact.
  • Exposure to cutting-edge technologies across generative AI, RAG, LLMs, machine learning, deep learning, AWS, and Azure.
  • Collaborative environment with experienced engineers, developers, consultants, analysts, and product professionals.
  • Opportunities to mentor colleagues and take on technical leadership responsibilities.
  • Access to internal meetups, conferences, workshops, and other learning and development initiatives.
  • Access to Udemy and language learning resources.
  • Company-supported professional certifications and opportunities to expand technical expertise.
  • Opportunities for internal mobility and exposure to different industries, domains, and technologies.
  • Company-paid medical insurance.
  • Mental health support.
  • Financial and legal consultation support.
  • Opportunity to contribute to a collaborative, growth-oriented culture focused on continuous innovation and professional development.