Senior Ai Engineer

Job Description About Adsparkx Adsparkx is a leading Global Performance Marketing Agency headquartered in India. We have been empowering brands since 2014 helping them acquire high quality and engaging users globally via data-driven decisions. We are innovators, hustlers and ad-tech moguls/experts who function with the belief of catalyzing a disruptive change in the industry by providing empowered and customized digital experiences to consumers/brands. Adsparkx unlocks the full potential of your business with its diligent workforce, catering to worldwide clients at their time zones. We operate globally and have offices in Gurgaon, Chandigarh, Singapore and US. We value partnerships and have maintained sustainable relationships with reputed brands, shaping their success stories through services like Affiliate Marketing, Branding, E-commerce, Lead Generation, and Programmatic Media Buying. We have helped navigate over 200 brands to success. Our clientele includes names like Assurance IQ, Inc, Booking.com, Groupon, etc. If you wish to change the game of your brand, visit us here- https://adsparkx.com/ Job Title: Senior Ai Engineer Location: Gurugram, Haryana Employment Type: Full-Time Experience Required: 6-8 Years Objective Of The Role We are seeking a highly skilled Senior Ai Engineer who will be responsible for building, testing, and maintaining robust, scalable, and secure web applications. The ideal candidate will have strong expertise in Python, with additional exposure to generative AI frameworks, and modern deep learning architectures. This role involves optimizing performance, ensuring security, working with APIs, and collaborating closely with cross-functional teams to deliver high-quality backend solutions. Role Overview We are looking for an AI Engineer with strong expertise in Generative AI to join our dynamic team. The ideal candidate will design, develop, and deploy AI/ML models, focusing on generative applications that power creativity and automation. Key Responsibilities - Design and implement scalable AI/ML models for real-world applications. Manage the end-to-end model lifecycle : data acquisition, pre-processing, training, validation, deployment, and monitoring. - Collaborate with data engineers, software developers, and product managers to integrate AI seamlessly into WattMonks products and solutions. - Continuously optimize models for performance, accuracy, and efficiency. - Stay ahead of the curve by evaluating emerging AI technologies and research for practical adoption. - Maintain clear documentation to support reproducibility and team knowledge sharing. Requirements - Bachelor's/Master's in Computer Science, AI/ML, Data Science, or related field. - 4-6 years of experience in AI/ML model development. - Proven hands-on experience with Generative AI (e.g., GPT, LLaMA, Stable Diffusion, Midjourney, or similar models). - Strong programming skills in Python (PyTorch/TensorFlow, Hugging Face). - Experience with APIs, cloud platforms (AWS/GCP/Azure), and deployment tools (Docker, Kubernetes). - Solid understanding of NLP, Computer Vision, or multimodal AI. - Immediate joiners will be preferred. Good To Have - Experience with fine-tuning LLMs and building custom pipelines. - Familiarity with LangChain, RAG (Retrieval Augmented Generation), or vector databases. - Knowledge of MLOps practices for deploying and scaling models. What We Offer - Opportunity to work on cutting-edge Generative AI projects. - Fast-paced, collaborative, and innovative work environment. - Competitive salary package and growth opportunities. - Be part of a forward-thinking team shaping the future with AI. Required Skills And Qualifications - Strong proficiency in Python framework. - Experience with PostgreSQL, MongoDB, or MySQL. - Familiarity with Docker, Gunicorn, Nginx, and CI/CD pipelines. - Experience with machine learning and deep learning concepts. - Exposure to Generative AI, Transformers, Agentic Frameworks, and Fine-Tuning techniques. - Hands-on experience with PyTorch or TensorFlow (PyTorch preferred). - Ability to translate ML/AI solutions into production-ready APIs or services. - Strong problem-solving and debugging skills. Nice To Have - Knowledge of FastAPI or Flask. - Experience deploying models via TorchServe or ONNX. - Familiarity with MLOps practices and tools like MLflow, DVC, or SageMaker. If you're passionate about backend development and excited to work at the intersection of software engineering and AI innovation, we'd love to hear from you.