Experience: 5–6 Years
Work Mode: Work From Office (WFO)
Working Days: 5 Days a Week
Employment Type: Full-Time
Job Summary:
We are looking for an experienced and passionate AI/ML Engineer with strong expertise in Python programming, Machine Learning, and Artificial Intelligence. The ideal candidate should have hands‑on experience in developing, deploying, and optimizing machine learning models and AI-driven solutions.
The candidate will work closely with cross‑functional teams to build scalable, intelligent applications and implement innovative AI/ML solutions to solve real‑world business problems.
Key Responsibilities:
- Design, develop, and implement machine learning and AI-based solutions.
- Build, train, test, and optimize machine learning and deep learning models.
- Develop scalable applications and backend services using Python.
- Work with supervised, unsupervised, and reinforcement learning algorithms.
- Implement NLP, Generative AI, and Large Language Model (LLM) solutions.
- Work with frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, and Pandas.
- Perform data preprocessing, feature engineering, model evaluation, and optimization.
- Develop and integrate REST APIs for AI/ML model deployment.
- Work with databases and large datasets to extract meaningful insights.
- Collaborate with data engineers, software developers, and product teams.
- Monitor model performance and continuously improve accuracy and efficiency.
- Stay updated with the latest advancements in AI, ML, and Generative AI technologies.
Required Skills & Qualifications:
- 5–6 years of professional experience in AI/ML development.
- Strong proficiency in Python programming.
- Hands-on experience with Machine Learning algorithms and model development.
- Good knowledge of Deep Learning concepts and neural networks.
- Experience with Scikit-learn, TensorFlow, or PyTorch.
- Strong understanding of data structures, algorithms, and statistical concepts.
- Experience with NLP and Generative AI is preferred.
- Knowledge of LLMs, RAG, embeddings, and vector databases is an added advantage.
- Experience in developing and deploying REST APIs using Flask or FastAPI.
- Familiarity with SQL and NoSQL databases.
- Understanding of Git, Docker, and cloud platforms (AWS/Azure/GCP) is desirable.Strong analytical, problem-solving, and communication skills.
Preferred Skills:
- Hands-on experience with OpenAI APIs, LangChain, or LlamaIndex.
- Experience building AI-powered chatbots and intelligent automation solutions.Knowledge of MLOps, model monitoring, and CI/CD pipelines.
- Experience with vector databases such as FAISS, Pinecone, or ChromaDB.