We’re Hiring AI/ML Lead Developer

Building Next-Gen Solutions for

For those who love pushing boundaries, we deliver software that’s built to evolve, adapt, and keep you ahead.

We’re Industry-Certified Experts

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AI/ML Lead

Experience : 5+ Years Open Position : 2 Work Mode : On-site

Our Requirements

Your Day-to-Day Mission

  • Architect, develop, and deploy AI/ML solutions across multiple business domains and enterprise applications.::

  • Research, design, and implement advanced AI models in Deep Learning, NLP, and Computer Vision.:

  • Build, optimize, and scale AI models for high performance, low latency, and real-time inference.:

  • Develop and manage end-to-end ML pipelines, including data processing, model training, validation, deployment, and monitoring.:

  • Integrate AI capabilities into scalable microservices, APIs, and cloud-based architectures.:

  • Drive AI-powered automation systems and intelligent decision-making workflows.:

  • Monitor model performance, explainability, and accuracy, and continuously improve production AI systems.:

  • Collaborate with Data Engineering, Software Development, and DevOps teams for seamless AI integration.:

  • Stay updated with emerging AI technologies, including LLMs, Transformers, Federated Learning, and Responsible AI practices.:

  • Mentor junior AI engineers and contribute to AI research, innovation, and R&D initiatives.:

Technical Skills & Competencies

  • Strong programming expertise in Python with libraries such as NumPy, Pandas, and Scikit-learn.:

  • Hands-on experience with Deep Learning frameworks, including TensorFlow, PyTorch, and JAX.:

  • Strong understanding of NLP and LLM technologies, including Hugging Face Transformers, BERT, GPT models, RAG architectures, and LLM fine-tuning.:

  • Experience in Computer Vision technologies such as OpenCV, YOLO, Faster R-CNN, and Vision Transformers (ViTs).:

  • Knowledge of Data Engineering tools and distributed processing frameworks like Spark, Dask, Apache Kafka, and SQL/NoSQL databases.:

  • Experience with Cloud Platforms and MLOps tools, including AWS, GCP, Azure, Docker, Kubernetes, and CI/CD pipelines.:

  • Expertise in AI model optimization techniques such as quantization, pruning, and knowledge distillation.:

  • Familiarity with Big Data and distributed AI frameworks like Ray, TensorRT, ONNX, and Dask.:

  • Understanding of Responsible AI practices, including bias detection, model explainability, SHAP, and LIME.:

  • Strong analytical, problem-solving, communication, and team collaboration skills.:

Bonus Expertise We’d Love to See

  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.:

  • 3–8 years of experience in AI/ML development, research, or enterprise AI solutions.:

  • Experience working on real-time AI applications, Reinforcement Learning, or Edge AI systems.:

  • Contributions to AI research, technical publications, patents, or open-source AI projects.:

  • Experience integrating AI solutions with ERP, CRM, or enterprise platforms.:

  • Familiarity with scalable AI architectures and production-grade AI deployments.:

  • Knowledge of AI governance, compliance, and ethical AI implementation practices.:

  • Strong interest in AI innovation, market research, and emerging technology trends.:

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