Position type: Full-time employee
Location: Onsite - Noida, India
Why this role exists
We are building AI solutions that solve real business problems, not demos or experiments that live on a slide. As an AI Developer on our team, you will design, build, deploy, and continuously improve production-ready AI and machine learning systems used by real users. This role is for someone who enjoys hands-on development, cares about quality and scalability, and wants to see their work move from idea to impact.
This is a full-time, onsite role based in our Noida office. You will work closely with engineers, data scientists, and product partners in a collaborative, fast-moving environment.
What you will do
Build and deliver AI solutions
Design, develop, and validate machine learning and deep learning models to address domain-specific business challenges
Work across a range of approaches including classical ML, NLP, computer vision, reinforcement learning, and transformer-based models
Apply Generative AI techniques, including working with large language models and retrieval-based systems, where appropriate
Data engineering and preparation
Collaborate with data scientists and engineers to source, clean, and preprocess large datasets
Perform feature engineering and data selection to improve model inputs and outcomes
Production deployment and MLOps
Deploy models into production environments that support real-time or near real-time use cases
Build and maintain MLOps pipelines for deployment, monitoring, versioning, and retraining
Use Docker, Kubernetes, CI/CD pipelines, and cloud platforms such as AWS, Azure, or GCP
Integrate models into applications through APIs or model-serving frameworks
Performance, quality, and improvement
Optimize models for performance, latency, scalability, and resource efficiency
Implement testing strategies including unit testing, regression testing, and A/B testing
Monitor model performance and improve 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 results
Communicate technical concepts clearly to both technical and non-technical stakeholders
Ethical and responsible AI
Contribute to ethical AI practices with attention to fairness, transparency, and accountability
Help identify and mitigate risks such as bias, hallucinations, or incorrect outputs
What we’re looking for
Required
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 or LSTMs, and Transformers
Experience with data manipulation and analysis using Pandas, NumPy, and SciPy
Familiarity with software engineering best practices including Git, testing, and code optimization
Experience deploying models to cloud platforms or on-premise environments
Ability to work full-time from our Noida office
Preferred
Hands-on experience with large language models such as GPT, Claude, Mistral, or LLaMA
Experience with prompt engineering, Retrieval-Augmented Generation (RAG), or vector-based search
Familiarity with tools such as LangChain, LlamaIndex, Hugging Face, Pinecone, FAISS, or Weaviate
Experience with MLOps tools like MLflow, Kubeflow, or DVC
Exposure to applying AI in domains such as healthcare, finance, retail, manufacturing, or customer service
Strong grounding in statistics and optimization
Why join us
Work on real, production-grade AI systems with measurable business impact
Collaborate with experienced engineers and AI practitioners in a supportive, hands-on environment
Build breadth across models, tools, and deployment approaches while deepening your expertise
Be part of a team that values responsible, ethical AI and high-quality engineering
Ready to apply?
If you are excited to build AI systems that move beyond experimentation and into real-world use, we would love to hear from you. Apply now and tell us about the AI solutions you have built and want to build next.
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