AI/ML Engineer

• **we are hiring AI/ML Engineer !!!***

As a seasoned **AI/ML Engineer**, you will join our team in **Kolkata** and play a pivotal role in driving the development and implementation of advanced data and AI solutions.

• *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.

• *Requirement :**

• min 3\-4 yrs of exp in AI/ML Engineer
• 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.

Job Types: Full\-time, Permanent

Pay: ₹1,000,000\.00 \- ₹2,500,000\.00 per year

Benefits

• Provident Fund

Experience

• GEN AI: 2 years (Preferred)
• Data Learning: 2 years (Preferred)
• Data science: 3 years (Preferred)

Work Location: In person