Job highlightsB.E./B.Tech/M.Tech in Computer Science or related field with 1-3 years of AI/ML experienceDesign, develop, and deploy AI models; preprocess data; build APIs; collaborate with teamsMust have key skills
Javascript,
Python
Artificial Intelligence,
Machine Learning
Job descriptionWhat you’ll do
About the Role
looking for a junior mid-level AI Engineer with 1–3 years of hands-on experience in machine learning / generative AI to help design, build, and deploy AI solutions for global clients. The role involves working on real-world projects in NLP, RAG, computer vision, and predictive analytics.
Key Responsibilities
Design, develop, and deploy machine learning and AI models for production use cases.
Collect, clean, and preprocess structured and unstructured data (text, images, logs, etc.).
Implement and fine-tune models using frameworks such as TensorFlow, PyTorch, or Scikit-learn.
Contribute to GenAI and RAG solutions using LLM frameworks (LangChain / LlamaIndex) and vector databases.
Build APIs / microservices (Python/FastAPI/Flask) to integrate AI models with applications.
Run experiments, evaluate models, and iterate using metrics such as accuracy, F1, ROC-AUC, BLEU, etc.
Work closely with senior engineers, data scientists, and product managers to understand business requirements and translate them into AI solutions.
Participate in code reviews, documentation, and MLOps workflows (versioning, monitoring, CI/CD for models).
Stay updated with latest research and tools in AI/ML and bring ideas to improve current solutions.
Required Skills & Qualifications
B.E./B.Tech/M.Tech in Computer Science, IT, Data Science, or related field.
1–3 years of hands-on experience in AI/ML development (internships can be counted for freshers with strong projects).
Strong programming skills in Python and experience with ML libraries (NumPy, Pandas, Scikit-learn).
Practical experience building at least 1–2 end-to-end ML or GenAI projects (training, evaluation, deployment).
Knowledge of deep learning frameworks such as TensorFlow or PyTorch.
Good understanding of core ML concepts: supervised/unsupervised learning, feature engineering, overfitting, regularization, etc.
Basic understanding of cloud platforms (AWS/Azure/GCP) and Git-based workflows.
Strong problem-solving skills, curiosity to learn, and ability to work in a fast-paced environment.
Good to Have (Preferred)
Experience with LLMs, OpenAI/Anthropic/Bedrock APIs, Lang Chain, or RAG pipelines.
Exposure to NLP (text classification, summarization, chatbots) or computer vision (image classification, detection).
Familiarity with Docker, REST APIs, and basic MLOps tools (MLflow, Weights & Biases, or similar).
Experience working with SQL/NoSQL databases and data pipelines.
What We Offer
Opportunity to work on cutting-edge GenAI and enterprise AI projects for global clients.
Mentorship from senior architects in AI, data, and cloud.
Competitive salary, performance-based incentives, and fast growth for high performers.
Collaborative, learning-focused culture with exposure to AWS, GCP, and Azure projects.
On-Site client exposure for requirement and implementation at Site premises.
Job Types: Full-time, Permanent
Pay: ₹300,000.00 - ₹800,000.00 per year
Work Location: In person