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Hiring for Python with Gen AI,ML Engineer - Chennai/Bangalore Job Summary: We are seeking a skilled and creative Python Developer with experience in Generative AI (GenAI) and Machine Learning Engineering . The ideal candidate will develop and deploy ML models, integrate GenAI applications, and build scalable backend systems to support AI-driven features. Key Responsibilities: Develop and maintain Python-based applications for ML and AI pipelines. Design, train, fine-tune, and deploy ML and GenAI models using frameworks like TensorFlow, PyTorch, Hugging Face Transformers, and LangChain. Work on LLM-based solutions (e.g., prompt engineering, retrieval-augmented generation, fine-tuning). Build APIs and microservices to serve AI models using FastAPI, Flask, or Django. Design and implement data pipelines for training and inference, including data cleaning and transformation. Optimize models for performance, latency, and scalability . Collaborate with data scientists, product managers, and DevOps teams to deploy models into production. Conduct experiments and A/B testing for model evaluation and continuous improvement. Stay up-to-date with the latest GenAI and ML research and tools. Required Skills Qualifications: Solid proficiency in Python programming . Experience with ML frameworks : PyTorch, TensorFlow, scikit-learn. Hands-on with GenAI technologies (e.g., OpenAI, LLaMA, Mistral, Claude, etc.). Familiarity with LLM fine-tuning , embeddings, and prompt engineering. Experience with Hugging Face , LangChain , LlamaIndex , or similar GenAI libraries. Solid understanding of data structures, algorithms , and software engineering principles . Experience building RESTful APIs using FastAPI or Flask. Working knowledge of Docker, Kubernetes, and CI/CD pipelines . Experience with cloud platforms (AWS, GCP, or Azure), especially AI/ML services. Proficient in version control tools (e.g., Git) and agile methodologies. Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying. .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.