We're a data-driven AI solutions company specializing in building intelligent systems that solve real-world business problems.
Our team works on cutting-edge projects involving machine learning, generative AI, and automation.
We believe in nurturing fresh talent and providing hands-on experience with modern AI technologies in a collaborative, research-driven environment.
About the Role:
We are seeking an enthusiastic AI/ML Developer to join our growing team.
This is an excellent opportunity for fresh graduates passionate about artificial intelligence, machine learning, generative AI, and data-driven problem-solving.
You'll collaborate with experienced data scientists and engineers to build, train, and deploy intelligent models, LLM-powered applications, and automation systems that drive business value.
Key Responsibilities:
Collaborate with senior team members to design, train, and optimize machine learning models for prediction, classification, and recommendation systems
Work with Python and ML frameworks such as TensorFlow, PyTorch, and Scikit-learn to develop and test prototypes
Develop and test AI-powered applications such as chatbots, text summarizers, content generators, and intelligent assistants
Assist in data cleaning, preprocessing, feature engineering, and labeling to prepare datasets for model training
Experiment with vector databases, embedding models, and retrieval-augmented generation (RAG) techniques
Support integration of ML/LLM models into production systems and participate in code reviews
Explore new technologies in NLP, computer vision, deep learning, and generative AI
Document workflows, architectures, experiments, and outcomes
Stay informed about emerging AI/ML research, LLM advancements, and industry best practices
Required Skills:
Strong Python programming knowledge (NumPy, Pandas, Matplotlib, data manipulation)
Basic understanding of machine learning algorithms (regression, clustering, decision trees, classification)
Familiarity with deep learning frameworks (TensorFlow, Keras, or PyTorch)
Basic exposure to NLP concepts and text processing fundamentals
Hands-on experience or coursework using LLM APIs (OpenAI, Hugging Face, Anthropic) or open-source models
Understanding of prompt engineering basics for LLM applications
Understanding of data visualization, preprocessing, and model evaluation techniques
Familiarity with Git and version control systems
Jupyter Notebooks experience for experimentation and prototyping
Good problem-solving, analytical, and teamwork skills
Strong communication abilities and eagerness to learn
Preferred Qualifications
Bachelor's degree in Computer Science, Data Science, AI, or related field
Familiarity with Hugging Face Transformers, LangChain, or LlamaIndex
Basic knowledge of SQL, REST APIs, or web services integration
Knowledge of cloud platforms (AWS, Azure, GCP) for model deployment
Understanding of vector databases (Pinecone, Weaviate, ChromaDB) and RAG architectures
Awareness of MLOps or model deployment pipelines
Experience with FastAPI or Flask for API development
Academic or personal projects demonstrating ML/LLM applications (GitHub portfolio welcome)
Understanding of fine-tuning techniques or model optimization is a plus
What We Offer
Hands-on industry experience working on real-world AI/ML and LLM projects
Mentorship from experienced professionals including data scientists and AI engineers
Exposure to live AI/ML projects and modern tools across the AI ecosystem
Continuous learning opportunities and certification support in AI, ML, and GenAI technologies
Opportunities for career advancement and specialization in your areas of interest
Supportive, innovative, and growth-oriented workplace culture
Collaborative, research-driven environment with modern development tools
Job Type: Full-time
Pay: From ?12,000.00 per month
Benefits:
Provident Fund
Work Location: In person
Beware of fraud agents! do not pay money to get a job
MNCJobsIndia.com will not be responsible for any payment made to a third-party. All Terms of Use are applicable.