Job Description & Summary: We are seeking a highly skilled AI Specialist with 7–10 years of experience to design, develop, and deploy advanced artificial intelligence and machine learning solutions. The ideal candidate will have strong expertise in 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, and optimize machine 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 implement state-of-the-art algorithms 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: 

Strong proficiency in 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 

Expertise in data structures, algorithms, and software engineering best practices 

Experience in deploying models using APIs, microservices, or MLOps frameworks 

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 with MLOps tools (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 communication and stakeholder management skills 

Years of experience required: 

3yrs-5yrs 

Education qualification: 

BE/ B.Tech/ M.Tech