& Summary:We are seeking a highly skilled AI Specialist with 7–10 years of experienceto design,develop, anddeployadvanced artificial intelligence and machine learning solutions. The ideal candidate will have strongexpertisein building scalable AI models, working with large datasets, and translating business problems into data-driven solutions. This role involves close collaboration with cross-functional teams to drive innovation and implement AI strategies that deliver measurable impact.

Responsibilities:

Design, develop, andoptimizemachine learning and deep learning models for real-world applications

Lead end-to-end AI solution development, from data preprocessing to model deployment and monitoring

Collaborate with data engineers, product teams, and stakeholders to define AI-driven solutions

Evaluate and implementstate-of-the-artalgorithms in areas such as NLP, computer vision, and predictive analytics

Build scalable data pipelines and ensure model performance, reliability, and efficiency

Conduct model validation, testing, and performance tuning

Mentor junior team members and provide technical leadership

Stay updated with the latest advancements in AI and recommend adoption where relevant

Ensure ethical AI practices, data privacy, and compliance standards are followed

Mandatory skill sets:

Strongproficiencyin Python and AI/ML frameworks (e.g., TensorFlow,PyTorch, Scikit-learn)

Deep understanding of machine learning, deep learning, and statistical modeling techniques

Hands-on experience with NLP, computer vision, or recommendation systems

Experience with cloud platforms (AWS, Azure, or GCP) and AI services

Expertisein data structures, algorithms, and software engineering best practices

Experience in deploying models using APIs, microservices, orMLOpsframeworks

Strong knowledge of SQL and working with large-scale datasets

Version control systems (Git) and CI/CD pipelines

Excellent problem-solving and analytical skills

Preferred skill sets:

Experience with generative AI, large language models (LLMs), and transformer architectures

Familiarity withMLOpstools (MLflow, Kubeflow, Airflow, etc.)

Knowledge of big data technologies (Spark, Hadoop)

Experience in real-time AI applications and edge AI

Exposure to domain-specific applications (finance, healthcare, retail, etc.)

Understanding of responsible AI, explainability, and bias mitigation

Experience leading AI projects or teams

Strong communicationand stakeholder management skills

Years of experiencerequired

3yrs-5yrs

Education qualification:

BE/B.TechM.Tech