
AI Developer
Responsibilities
Qualifications & Requirements
Experience Level: Mid Level
Full Job Description
AI Developer - Full-time, Onsite in Noida, India
Infopro Learning, Inc. is seeking a talented AI Developer to join our dynamic team in Noida, India. This is a full-time, onsite position open to candidates based in India. We are building practical AI solutions that address real business challenges, moving beyond theoretical concepts to deliver tangible impact.
As an AI Developer, you will play a crucial role in designing, building, deploying, and continuously improving production-ready AI and machine learning systems. This role is ideal for individuals passionate about hands-on development, committed to quality and scalability, and eager to witness their work transform from an idea into a deployed solution.
What You Will Do:
Build and Deliver AI Solutions
- Design, develop, and validate machine learning and deep learning models to solve specific business problems.
- Work with diverse approaches including classical ML, Natural Language Processing (NLP), computer vision, reinforcement learning, and transformer-based models.
- Apply Generative AI techniques, including leveraging large language models and retrieval-based systems.
Data Engineering and Preparation
- Collaborate with data scientists and engineers to source, clean, and preprocess large datasets.
- Perform feature engineering and data selection to enhance model inputs and outcomes.
Production Deployment and MLOps
- Deploy models into production environments for real-time or near real-time applications.
- Build and maintain MLOps pipelines for deployment, monitoring, versioning, and retraining.
- Utilize technologies like Docker, Kubernetes, CI/CD pipelines, and cloud platforms (AWS, Azure, GCP).
- Integrate models into applications via APIs or model-serving frameworks.
Performance, Quality, and Improvement
- Optimize models for performance, latency, scalability, and resource efficiency.
- Implement comprehensive testing strategies including unit, regression, and A/B testing.
- Monitor model performance and iterate on solutions based on data, feedback, and usage patterns.
Collaboration and Communication
- Work closely with cross-functional teams, including engineering, product, and subject matter experts.
- Document model architectures, training processes, and experimental findings.
- Communicate complex technical concepts effectively to both technical and non-technical audiences.
Ethical and Responsible AI
- Contribute to ethical AI practices, emphasizing fairness, transparency, and accountability.
- Identify and mitigate potential risks such as bias, hallucinations, or incorrect outputs.
What We're Looking For:
Required Qualifications:
- Minimum 2 years of hands-on experience in AI or machine learning development.
- Strong proficiency in Python and experience with libraries such as TensorFlow, PyTorch, Keras, or Scikit-learn.
- Solid understanding of ML and DL architectures, including CNNs, RNNs/LSTMs, and Transformers.
- Experience with data manipulation and analysis using Pandas, NumPy, and SciPy.
- Familiarity with software engineering best practices (Git, testing, code optimization).
- Experience deploying models to cloud platforms or on-premise environments.
- Ability to work full-time from our Noida office.
Preferred Qualifications:
- Hands-on experience with large language models (e.g., GPT, Claude, Mistral, LLaMA).
- Experience with prompt engineering, Retrieval-Augmented Generation (RAG), or vector-based search.
- Familiarity with tools like LangChain, LlamaIndex, Hugging Face, Pinecone, FAISS, or Weaviate.
- Experience with MLOps tools such as MLflow, Kubeflow, or DVC.
- Exposure to applying AI in domains like healthcare, finance, retail, manufacturing, or customer service.
- Strong foundation in statistics and optimization.
Join us to work on real, production-grade AI systems with measurable business impact, collaborate with experienced professionals in a supportive environment, and contribute to a team that values responsible AI and high-quality engineering. If you are passionate about building AI solutions that go beyond experimentation, apply now and share your AI development experience!