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About Statusneo
We accelerate your business transformation by leveraging best fit CLOUD NATIVE technologies wherever feasible. We are DIGITAL consultants who partner with you to solve & deliver. We are experts in CLOUD NATIVE TECHNOLOGY CONSULTING & SOLUTIONS. We build, maintain & monitor highly scalable, modular applications that leverage elastic compute, storage and network of leading cloud platforms. We CODE your NEO transformations. #StatusNeoBusiness domain experience is vital to the success of neo transformations empowered by digital technology. Experts in domain ask the right business questions to diagnose and address. Our consultants leverage your domain expertise & augment our digital excellence to build cutting edge cloud solutions.
Location: Bangalore, India
Experience: 4+ Years (Immediate Joiners Only)
Employment Type: Full-time / Permanent
We are seeking a highly skilled AI Engineer with expertise in Python, Generative AI, Machine Learning (ML), Deep Learning (DL), and Natural Language Processing (NLP). The ideal candidate will have strong hands-on experience in designing, developing, and deploying AI/ML models on cloud platforms (AWS or GCP). You will work closely with data scientists, product teams, and cloud engineers to build intelligent solutions that scale.
Design, develop, and optimize AI/ML/DL models for real-world business use cases.
Build and fine-tune Generative AI and NLP models for advanced applications.
Deploy, monitor, and manage ML models on AWS / GCP cloud environments.
Collaborate with cross-functional teams to integrate AI solutions into products and services.
Stay up to date with the latest research, tools, and trends in AI, ML, DL, and NLP.
Ensure scalability, performance, and security of deployed AI applications.
Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.).
Proven experience with Generative AI (LLMs, Transformers, Diffusion Models, etc.).
Hands-on expertise in NLP techniques (text classification, embeddings, summarization, conversational AI).
Solid understanding of Deep Learning architectures (CNNs, RNNs, LSTMs, Transformers).
Experience with cloud platforms (AWS or GCP) for ML model deployment and MLOps pipelines.
Familiarity with Docker, Kubernetes, CI/CD for AI/ML deployment is a plus.
Strong problem-solving and analytical skills.
Knowledge of Vector Databases (Pinecone, Weaviate, FAISS, etc.).
Experience in LangChain, RAG, Prompt Engineering.
Prior exposure to large-scale data engineering and big data ecosystems.
Opportunity to work on cutting-edge AI/GenAI projects.
A fast-paced, collaborative environment in the heart of Bangalore’s tech hub.
Competitive compensation and benefits.
Immediate onboarding for the right candidate.
