Senior Artificial Intelligence/Machine Learning Engineer

Job description

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. How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1 This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Artificial Intelligence/Machine Learning Engineer based in India. This is a senior AI/ML engineering opportunity focused on designing and delivering intelligent, production-ready applications with global impact. You’ll play a key role in developing generative AI solutions, particularly Retrieval-Augmented Generation (RAG)-based chatbots and other LLM-powered applications. The role combines hands-on engineering in Python and Java with machine learning, deep learning, cloud deployment, and scalable system architecture. You’ll work within cross-functional teams to translate complex business requirements into reliable AI-driven products. Beyond individual contribution, you’ll mentor engineers and help establish strong engineering and AI development practices. This is an excellent opportunity for an experienced AI/ML professional who wants to work with emerging technologies and solve challenging problems at scale.