AI / ML Developer

We are looking for a passionate and skilled AI / ML Engineer with 2–4 years of experience to design, develop, and deploy machine learning models and intelligent automation solutions. You will work closely with data scientists, backend engineers, and product teams to integrate AI-driven functionalities into production systems.

Design, develop, and deploy machine learning and deep learning models for real-world applications.

Work with Python-based frameworks like TensorFlow, PyTorch, and Scikit-learn.

Implement data preprocessing, feature engineering, and model optimization techniques.

Collaborate with product and engineering teams to integrate models into production environments (APIs, microservices).

Build and manage ETL pipelines , handle large datasets, and ensure data quality.

Research and experiment with LLMs, embeddings, NLP, and generative AI tools such as OpenAI, LangChain, and Hugging Face.

Optimize model performance, accuracy, and scalability for deployment.

Stay updated with the latest advancements in AI, ML, and GenAI technologies.

Skills

Strong programming skills in Python (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch).

Solid understanding of machine learning algorithms, data preprocessing, and model evaluation techniques.

Experience in NLP / LLM / Generative AI projects is highly desirable.

Familiarity with LangChain, OpenAI API, or similar AI frameworks is a plus.

Good understanding of cloud environments (AWS / GCP / Azure) for ML model deployment.

Experience with version control (Git) and CI / CD pipelines .

Strong problem-solving skills and ability to work in a fast-paced, collaborative environment.

Exposure to vector databases (Pinecone, ChromaDB, Weaviate) .

Experience in API development (FastAPI / Flask) for serving ML models.

Knowledge of MLOps tools such as MLflow, Kubeflow, or Airflow.

Prior experience working on AI-powered SaaS or automation systems .