Posted on: 07/05/2026
Job Summary :
We are seeking a highly experienced Senior AI Developer / Engineer with 6+ years of hands-on experience in designing, building, and deploying AI-driven solutions.
The ideal candidate has strong expertise in machine learning, deep learning, and data-driven systems, and can take AI products from research to production at scale.
Key Responsibilities :
- Design, develop, and deploy AI/ML models for real-world applications
- Build end-to-end AI pipelines including data ingestion, training, evaluation, and deployment
- Work closely with product, data, and engineering teams to translate business requirements into AI solutions
- Optimize and fine-tune models for accuracy, performance, and scalability
- Develop and maintain APIs and services for model inference
- Ensure AI solutions follow best practices for security, scalability, and reliability
- Conduct code reviews and mentor junior engineers
- Stay updated with the latest advancements in AI, ML, and generative technologies
- Contribute to AI architecture, technical standards, and roadmap planning
Required Skills & Qualifications :
- 6+ years of professional experience in AI, Machine Learning, or related roles
- Strong proficiency in Python and AI/ML frameworks such as : TensorFlow, PyTorch, Keras, or JAX
Solid understanding of :
- Deep Learning (CNNs, RNNs, Transformers)
- Natural Language Processing (NLP) and/or Computer Vision
- Experience with data processing and analysis using NumPy, Pandas, and SQL
- Hands-on experience with model deployment (REST APIs, microservices, or cloud-based inference)
- Experience with cloud platforms (AWS, Azure, or GCP) and AI services
- Familiarity with MLOps practices (model versioning, monitoring, CI/CD)
- Strong problem-solving and analytical skills
- Excellent communication and cross-functional collaboration abilities
Preferred / Nice-to-Have Skills :
- Experience with Generative AI and LLMs (OpenAI, Hugging Face, LangChain, RAG pipelines)
- Knowledge of vector databases (FAISS, Pinecone, Weaviate)
- Experience with Docker, Kubernetes, and distributed systems
- Experience with big data tools (Spark, Kafka)
- Familiarity with ethical AI, bias mitigation, and model governance
- Prior experience leading AI initiatives or mentoring teams
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