Sr. AI Developer

What You'll Do

As a Senior AI Engineer, you will design, develop, deploy, and scale enterprise-grade AI and Machine Learning solutions that drive intelligent automation and business transformation.

• •Design and develop end-to-end AI/ML solutions for real-world business problems.
• •Build predictive models, classification systems, recommendation engines, and intelligent automation solutions.
• •Apply supervised, unsupervised, and deep learning techniques based on business requirements.
• •Develop and optimize data pipelines, feature engineering, and model training workflows.
• •Evaluate and improve model accuracy, scalability, robustness, and business impact.
• •Build and deploy scalable model-serving APIs using Python, FastAPI, Flask, or similar frameworks.
• •Deploy AI solutions using Docker, microservices, CI/CD pipelines, and cloud-native architectures.
• •Monitor model performance, data quality, model drift, and retraining requirements.
• •Troubleshoot production issues across AI models, APIs, and data pipelines.
• •Apply MLOps practices for model versioning, deployment, monitoring, and lifecycle management.
• •Implement Responsible AI practices, including explainability, bias mitigation, governance, and security.
• •Collaborate with Data Scientists, Data Engineers, Software Engineers, Product Managers, and business stakeholders.
• •Mentor junior engineers and contribute to architecture, code reviews, and technical best practices.
• •Stay current with emerging AI, Generative AI, LLM, and cloud technologies.

What We Seek In You

• •5–8 years of experience in AI Engineering, Machine Learning, Applied AI, or related fields.
• •Strong hands-on expertise in Python and SQL.
• •Machine Learning and Deep Learning
• •Supervised and Unsupervised Learning
• •Feature Engineering and Model Evaluation
• •Model Optimization and Validation
• •Hands-on experience with TensorFlow, PyTorch, Keras, Scikit-learn, NumPy, and Pandas.
• •Experience building and deploying production-grade AI/ML applications.
• •Strong experience with FastAPI, Flask, REST APIs, and Microservices.
• •Hands-on experience with Docker, Git, CI/CD, and cloud-native deployments.
• •Experience with at least one major cloud platform: Azure, AWS, or GCP.
• •Experience with AI/ML platforms such as Azure Machine Learning, AWS SageMaker, or Vertex AI.
• •Strong understanding of MLOps, model monitoring, model drift, and retraining workflows.
• •Excellent problem-solving, debugging, communication, and stakeholder management skills.
• •Ability to translate complex business challenges into scalable AI-powered solutions.

Preferred Qualifications

• •Experience with Generative AI, Large Language Models (LLMs), RAG, and NLP.
• •Exposure to Computer Vision and advanced AI use cases.
• •Experience with MLOps tools such as MLflow, Kubeflow, or Apache Airflow.
• •Familiarity with Apache Spark and Big Data technologies.
• •Understanding of Responsible AI, Explainable AI (XAI), AI Governance, and AI Ethics.
• •Experience designing scalable, secure, and cloud-native AI architectures.
• •Experience in domains such as Manufacturing, Automotive, Supply Chain, Financial Services, Healthcare, or Enterprise Analytics.

Life at Next

At Next, we enable high-growth enterprises to transform their vision into reality through technology, data, and AI. We foster a culture of agility, innovation, continuous learning, and hands-on leadership.

Perks of Working With Us

• •Clear career growth and accelerated learning opportunities.
• •Exposure to customers, product leaders, and emerging technologies.
• •Continuous learning and upskilling through Nexversity.
• •Mentorship and opportunities to explore diverse technologies and functions.
• •Hybrid work model supporting work-life balance.
• •Comprehensive family health insurance.
• •A collaborative environment focused on innovation, ownership, and growth.

Join our passionate team and tailor your growth with us!