SB Infowaves
Website:
sbinfowaves.com
Job details:
Experience: 3–4 Years
Location: Kolkata
Employment Type: Full-Time
About the Role: We are looking for a skilled AI Engineer with 3–4 years of hands-on experience in designing, developing, and deploying AI/ML solutions. The ideal candidate should have strong expertise in machine learning, deep learning, NLP/LLMs, data engineering, and MLOps practices. You will work closely with product, engineering, and business teams to build scalable AI-powered applications and intelligent systems.
Key Responsibilities:
- Design, develop, and deploy machine learning and AI models for real-world business problems.
- Build and optimize NLP, Generative AI, and LLM-based applications.
- Fine-tune and evaluate transformer models using frameworks such as Hugging Face and OpenAI APIs.
- Develop scalable data pipelines and model-serving architectures.
- Work with structured and unstructured datasets for training and inference.
- Implement MLOps best practices including CI/CD, model monitoring, and versioning.
- Collaborate with cross-functional teams to translate business requirements into AI solutions.
- Optimize model performance, scalability, and latency for production environments.
- Conduct experiments, A/B testing, and performance benchmarking.
- Stay updated with the latest advancements in AI, ML, and Generative AI technologies.
Required Skills & Qualifications:
- Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field.
- 3–4 years of professional experience in AI/ML engineering.
- Strong proficiency in Python.
- Experience with ML/DL frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- Hands-on experience with LLMs, RAG pipelines, prompt engineering, and vector databases.
- Experience with NLP techniques and transformer architectures.
- Knowledge of APIs and model integration using FastAPI/Flask.
- Familiarity with cloud platforms such as AWS, Azure, or GCP.
- Experience with Docker, Kubernetes, and MLOps tools.
- Strong understanding of data structures, algorithms, and software engineering principles.
- Experience with SQL/NoSQL databases.
- Good communication and problem-solving skills.
Preferred:
Experience with LangChain, LlamaIndex, or similar AI orchestration frameworks.
- Exposure to computer vision or speech AI projects.
- Knowledge of distributed computing frameworks such as Spark.
- Experience deploying AI applications in production environments.
- Contributions to open-source AI projects or research publications are a plus.
Tools & Technologies:
- Python, SQL
- PyTorch, TensorFlow, Scikit-learn
- Hugging Face, OpenAI APIs
- LangChain, LlamaIndex
- FastAPI, Flask
- Docker, Kubernetes
- AWS / Azure / GCP
- Vector Databases (Pinecone, FAISS, Weaviate, ChromaDB)
- Git, CI/CD Pipelines
Click on Apply to know more.