Traditional AI/ML Developer

Job Title:

Experience Level:

Location: Pan India

Overview: We are seeking an experienced Senior AI/ML Developer to lead the development and deployment of robust AI-driven solutions. The ideal candidate will leverage their extensive background in artificial intelligence, machine learning, and data science to address complex business needs and guide the team towards innovation

Must Have Skills

• Develop a deep understanding of different types of data, metrics, and KPIs to identify and formulate data science problems that drive impactful solutions.
• Proficiency in Python/PySpark for AI development, data preprocessing, and scripting.
• Strong understanding of core machine learning and statistical concepts including supervised, unsupervised, and reinforcement learning, feature engineering, and model optimization.
• Hands-on experience in building, training, and deploying ML models for use cases such as prediction, recommendation, NLP, and computer vision.
• Proficiency in Python and machine learning libraries such as scikit-learn, TensorFlow, PyTorch, XGBoost, and Hugging Face Transformers.
• Familiarity with deep learning architectures CNNs, RNNs, Transformers and use cases in NLP, CV, and recommendation systems.
• Experience with data preprocessing, feature selection, model evaluation, and hyperparameter tuning techniques.
• Ability to design and deploy scalable ML pipelines leveraging cloud platforms — preferably AWS, but Azure experience is also acceptable.
• Familiarity with API development, microservices, and integrating ML models into enterprise applications.
• Understanding of data security, governance, and cost optimization in cloud-based AI environments.
• Experience in AWS AI and ML services, including SageMaker, Lambda, Step Functions, API Gateway, and CloudWatch, for model deployment and orchestration.
• Ability to work with containerization tools (Docker, Kubernetes) for deploying ML workloads.

Nice to have skills:

• Strong knowledge of data storage and processing frameworks, including Amazon S3, Redshift, Glue, Athena, or Azure Data Lake and Synapse
• Understanding of MLOps frameworks (MLflow, Kubeflow, or Vertex AI Pipelines).
• Knowledge of AI governance, responsible AI, and ethical AI frameworks.
• Hands-on experience with Git-based CI/CD, Agile delivery, and DevOps/MLOps automation.
• Hands-on experience with MLOps tools and practices for automating model training, deployment, and monitoring.
• Proven experience in designing and implementing Extract, Transform, Load (ETL) processes
• Knowledge of data visualization tools like Tableau or Power BI.
• Strong problem-solving and analytical skills, with the ability to collaborate across cross-functional teams.