Job description
𝗧𝗵𝗶𝘀 𝗿𝗼𝗹𝗲 𝗶𝘀 𝗳𝗼𝗿 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗪𝗲𝗲𝗸𝗱𝗮𝘆'𝘀 𝗰𝗹𝗶𝗲𝗻𝘁𝘀 𝗦𝗮𝗹𝗮𝗿𝘆 𝗿𝗮𝗻𝗴𝗲: 𝗥𝘀 𝟯𝟬𝟬𝟬𝟬𝟬𝟬 - 𝗥𝘀 𝟭𝟬𝟬𝟬𝟬𝟬𝟬𝟬 (𝗶𝗲 𝗜𝗡𝗥 𝟯𝟬-𝟭𝟬𝟬 𝗟𝗣𝗔) Experience: 5+ yrs Location: Gurgaon, Haryana, India, Delhi, India, Noida, Uttar Pradesh, India Job Type: Full-time We are seeking an experienced AI Solutions Engineer to design, develop, and implement enterprise-grade Artificial Intelligence and Machine Learning solutions that solve complex business challenges and accelerate digital transformation.
This role is ideal for professionals with strong expertise in AI, Machine Learning, data-driven decision-making, and scalable solution architecture who are passionate about delivering innovative, production-ready AI applications.
As an AI Solutions Engineer, you will collaborate with business stakeholders, product managers, data scientists, and engineering teams to transform business requirements into intelligent solutions.
You will be responsible for developing end-to-end AI systems, integrating machine learning models into enterprise applications, optimizing model performance, and ensuring scalable, secure, and reliable deployments.
This role offers the opportunity to work with cutting-edge AI technologies, large-scale datasets, and modern cloud platforms while driving innovation across multiple business domains.
Key Responsibilities Design, develop, and deploy scalable AI and Machine Learning solutions that address business and operational challenges.
Build, train, evaluate, and optimize machine learning and deep learning models for production environments.
Collaborate with business stakeholders to understand requirements and translate them into AI-driven solutions.
Develop end-to-end AI pipelines, including data preprocessing, feature engineering, model training, validation, deployment, and monitoring.
Integrate AI and ML models into enterprise applications, APIs, and cloud-based platforms.
Evaluate emerging AI technologies, frameworks, and tools to recommend innovative solutions and best practices.
Optimize model accuracy, scalability, latency, and overall system performance through continuous experimentation and improvement.
Work closely with data engineering teams to ensure high-quality, reliable, and scalable data pipelines for AI workloads.
Implement responsible AI practices, model governance, security, and compliance throughout the AI lifecycle.
Monitor deployed models, analyze performance metrics, troubleshoot issues, and implement continuous model improvements.
Contribute to technical architecture, documentation, code reviews, and knowledge sharing across engineering teams.
Stay current with advancements in Artificial Intelligence, Machine Learning, Generative AI, and MLOps to continuously improve solution capabilities.
What Makes You a Great Fit 5+ years of experience in Artificial Intelligence , Machine Learning , or advanced analytics solution development.
Strong expertise in Machine Learning algorithms, deep learning techniques, and AI model development.
Hands-on experience with Python and popular AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or similar technologies.
Experience designing and deploying production-grade AI solutions on cloud platforms such as AWS, Azure, or Google Cloud.
Strong understanding of data engineering, feature engineering, model evaluation, and MLOps best practices.
Experience developing REST APIs and integrating AI models into enterprise applications and business workflows.
Solid understanding of statistics, data structures, algorithms, and software engineering principles.
Familiarity with Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), vector databases, or AI agents is highly desirable.
Excellent analytical, problem-solving, and communication skills with the ability to explain complex AI concepts to technical and business stakeholders.
Self-driven, innovative, and passionate about building scalable AI solutions that create measurable business impact while mentoring teams and driving technical excellence.
This job post has been translated by AI and may contain minor differences or errors.
