Senior Associate – AI/ML Developer, Application Technology, Advisory

Overview

Develop and deploy artificial intelligence and machine learning solutions, building scalable models and translating business problems into data-driven solutions. Collaborate with cross-functional teams to implement AI strategies that deliver measurable impact.

What you'll do

• 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.

What you'll need

• 7–10 years of experience in artificial intelligence and machine learning solutions.
• Strong proficiency in Python and AI/ML frameworks such as TensorFlow, PyTorch, and 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 such as AWS, Azure, or GCP and AI services.
• Expertise in data structures, algorithms, and software engineering best practices.
• Experience deploying models using APIs, microservices, or MLOps frameworks.
• Strong knowledge of SQL and working with large-scale datasets.
• Experience with version control systems such as Git and CI/CD pipelines.
• Excellent problem-solving and analytical skills.
• BE, B.Tech, or M.Tech qualification.
• Bachelor of Engineering degree.

Nice to have

• Experience with generative AI, large language models (LLMs), and transformer architectures.
• Familiarity with MLOps tools such as MLflow, Kubeflow, and Airflow.
• Knowledge of big data technologies such as Spark and Hadoop.
• Experience in real-time AI applications and edge AI.
• Exposure to domain-specific applications such as finance, healthcare, and retail.
• Understanding of responsible AI, explainability, and bias mitigation.
• Experience leading AI projects or teams.
• Strong communication and stakeholder management skills.

Details

• Location: Kolkata.