AI/ML Engineer (Exp:4-9yrs)

About the Role

We are looking for an experienced **AI/ML Engineer with 4–9 years of hands\-on experience** in designing, developing, deploying, and maintaining machine learning and AI solutions. The ideal candidate should have strong expertise in **Python, Machine Learning, Deep Learning, NLP, Generative AI/LLMs, model development, and deployment**. The candidate will work on building scalable AI solutions, developing ML models, integrating AI capabilities into applications, and taking models from experimentation to production. Key Responsibilities * Design, develop, train, evaluate, and deploy **Machine Learning and AI models**. * Develop end\-to\-end ML pipelines from data preprocessing and feature engineering to model deployment and monitoring. * Apply appropriate **Machine Learning and Deep Learning algorithms** to solve business problems. * Work with structured and unstructured datasets to identify patterns and build predictive solutions. * Perform data preprocessing, cleaning, feature engineering, model selection, and hyperparameter tuning. * Develop and optimize models using frameworks such as **Scikit\-learn, TensorFlow, and PyTorch**. * Work on **NLP, Generative AI, LLM, and/or Computer Vision** use cases as required. * Develop solutions using **Large Language Models (LLMs)** and integrate models through APIs or open\-source frameworks. * Build **RAG (Retrieval\-Augmented Generation)** pipelines using embeddings and vector databases. * Work with prompt engineering, model evaluation, fine\-tuning, and LLM application development. * Deploy ML/AI models as scalable APIs and integrate them with existing applications. * Collaborate with software engineers, data engineers, product managers, and other stakeholders. * Monitor model performance and improve models based on production feedback and changing data. * Perform model optimization for **accuracy, latency, scalability, and cost efficiency**. * Write clean, reusable, well\-tested, and production\-ready Python code. * Participate in technical discussions, architecture decisions, code reviews, and documentation. Required Technical SkillsProgramming * Strong proficiency in **Python**. * Strong understanding of **Object\-Oriented Programming, data structures, algorithms, and software engineering principles**. * Experience with libraries such as **NumPy, Pandas, SciPy**, etc. Machine Learning * Strong understanding of supervised and unsupervised learning. * Hands\-on experience with: * Regression * Classification * Clustering * Decision Trees / Random Forest * Gradient Boosting / XGBoost / LightGBM * Feature Engineering * Model Evaluation * Hyperparameter Optimization * Strong understanding of ML metrics and model validation techniques. Deep Learning * Hands\-on experience with **TensorFlow and/or PyTorch**. * Understanding of: * Neural Networks * CNNs * RNNs / LSTMs * Transformers * Transfer Learning * Experience training, evaluating, and optimizing deep learning models. Generative AI / LLM * Hands\-on experience with **Generative AI and Large Language Models (LLMs)** is preferred. * Experience with models such as **OpenAI, Azure OpenAI, Llama, Mistral, Gemini, or similar models**. * Knowledge of **Prompt Engineering** and LLM application development. * Experience building **RAG\-based applications**. * Understanding of: * Embeddings * Vector Databases * Semantic Search * Chunking and Retrieval Strategies * LLM Evaluation * Experience with frameworks such as **LangChain, LlamaIndex, or similar frameworks** is a plus. * Exposure to **fine\-tuning, LoRA/PEFT, or model optimization** is an advantage. NLP / Computer Vision Experience in one or more of the following is preferred: * Natural Language Processing (NLP) * Text Classification * Named Entity Recognition (NER) * Sentiment Analysis * Text Summarization * Recommendation Systems * Speech/Conversational AI * Image Classification * Object Detection * OCR * Computer Vision MLOps \& Deployment * Experience deploying ML models into **production environments**. * Knowledge of **Docker and containerization**. * Experience developing ML APIs using **FastAPI, Flask, or similar frameworks**. * Understanding of CI/CD and automated deployment pipelines. * Experience with model versioning, experiment tracking, and monitoring. * Exposure to tools such as **MLflow, Kubeflow, Airflow**, or similar technologies is preferred. * Experience with cloud platforms such as **AWS, Azure, or GCP**. Data \& Database Skills * Strong understanding of data preprocessing and data pipelines. * Experience working with **SQL databases**. * Knowledge of PostgreSQL/MySQL is preferred. * Exposure to NoSQL databases such as **MongoDB** is a plus. * Experience working with large datasets and distributed data processing is advantageous. * Knowledge of **Spark/PySpark** is a plus. Good to Have * Experience with **Azure OpenAI / AWS Bedrock / Google Vertex AI**. * Experience with vector databases such as **FAISS, Pinecone, Weaviate, Milvus, or Chroma**. * Knowledge of microservices and distributed systems. * Experience with Kubernetes. * Knowledge of model serving frameworks. * Experience optimizing LLM inference, latency, and cloud costs. * Experience building AI\-powered enterprise applications. * Research experience, publications, or contributions to open\-source AI/ML projects are a plus. Required Experience * **4–9 years of professional experience** in AI/ML, Machine Learning Engineering, Data Science, or a closely related field. * Strong hands\-on experience with **Python and Machine Learning**. * Experience taking ML/AI models from **development/experimentation to production**. * Strong understanding of ML concepts, algorithms, model evaluation, and deployment. * Experience working on real\-world AI/ML projects in a production environment. Educational Qualification * Bachelor's or Master's degree in **Computer Science, Artificial Intelligence, Machine Learning, Data Science, Engineering**, or a related field. * Equivalent practical experience may also be considered. Preferred Tech Stack **Python \| Machine Learning \| Scikit\-learn \| TensorFlow / PyTorch \| NLP \| Generative AI \| LLMs \| RAG \| LangChain / LlamaIndex \| OpenAI / Azure OpenAI \| Vector Databases \| FastAPI / Flask \| Pandas \| NumPy \| SQL \| Docker \| MLflow \| AWS / Azure / GCP \| Git \| CI/CD** Pay: ₹60,000\.00 \- ₹100,000\.00 per month Benefits: * Provident Fund Work Location: In person