Machine Learning Engineer

3 hours ago

Mumbai, Maharashtra, India QualityKiosk Technologies Full time ₹ 12,00,000 - ₹ 36,00,000 per year

About the Role :

We are seeking a highly motivated and experienced Machine Learning Engineer to join our AI/ML team in either Mumbai or Bangalore. The ideal candidate will have hands-on expertise in developing and deploying machine learning models, building generative AI modules like chatbots or conversational agents, and working with modern cloud infrastructure to scale AI solutions. A solid understanding of microservices architecture is also essential.

You will play a key role in designing, developing, and deploying intelligent solutions that enhance user experience, automate business workflows, and derive actionable insights from data.

Key Responsibilities :

- Design, build, and optimize machine learning models for classification, regression, NLP, recommendation systems, and more.

- Perform data preprocessing, feature engineering, model training, evaluation, and tuning.

- Work with libraries such as scikit-learn, TensorFlow, PyTorch, Hugging Face, OpenCV, etc.

- Build or integrate Generative AI modules, including LLM-based chatbots, question-answering systems, language generation, and conversational agents.

- Fine-tune or utilize models from OpenAI, Anthropic, Google (Gemini), Meta (LLaMA), or open-source LLMs.

- Leverage frameworks like LangChain, Haystack, or Rasa for building agent workflows and pipelines.

- Deploy, monitor, and scale ML models and AI workloads using AWS, Azure, or Google Cloud Platform.

- Utilize services such as SageMaker, Vertex AI, Azure ML Studio, Lambda, Cloud Functions, Docker, and Kubernetes.

- Set up and manage MLOps pipelines for continuous training and deployment.

- Develop AI-powered microservices as part of distributed systems.

- Collaborate with backend teams to expose ML models via REST APIs or gRPC.

- Ensure robust design, scalability, and fault-tolerance in production systems.

- Work closely with data scientists, engineers, product managers, and UX teams.

- Participate in Agile development ceremonies stand-ups, sprint planning, retrospectives.

- Write clear documentation and share technical insights across teams.


Required Skills & Qualifications :


Technical Skills :

- Proficiency in Python (NumPy, Pandas, Scikit-learn, FastAPI).

- Experience with TensorFlow, PyTorch, or other deep learning frameworks.

- Strong knowledge of NLP, LLMs, transformers, and prompt engineering.

- Hands-on experience with cloud ML tools (AWS SageMaker, GCP Vertex AI, Azure ML).

- Familiarity with MLOps tools like MLflow, DVC, Airflow, or Kubeflow.

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