Lead Engineer - AI

Team: IT

Location: India

Commitment: Full-time

Workplace Type: remote

Accountabilities

• Lead and mentor AI/ML developers while providing technical direction across complex and AI initiatives.

• Design, develop, train, deploy, and optimize machine learning models for predictive analytics, classification, clustering, and other enterprise use cases.

• Architect and deliver scalable AI solutions across AWS, Azure, and Google Cloud environments.

• Develop and fine-tune NLP and transformer-based models, including BERT and GPT-family models, for classification, summarization, sentiment analysis, and conversational applications.

• Build intelligent chatbots and AI-powered automations integrating , Microsoft Teams, Azure AI, and related technologies.

• Design and engineer Agentic AI solutions capable of autonomous decision-making, adaptive behavior, and real-time interaction.

• Develop and maintain data pipelines, ETL processes, and data validation frameworks to support reliable AI and analytics solutions.

• Work with Apache Spark and Snowflake for large-scale data processing, analytics, and data warehousing.

• Optimize SQL, MySQL, PostgreSQL, and MongoDB databases for performance, scalability, and reliability.

• Translate complex data and AI insights into actionable business outcomes using visualization platforms such as Tableau and Power BI.

• Contribute to technical strategy, architecture, coding standards, solution design, and continuous improvement across the AI/ML practice.

Requirements

• 5+ years of experience applying AI and automation within environments or closely related enterprise technology ecosystems.

• Proven experience in a senior or lead engineering role, including mentoring developers and guiding complex technical projects.

• Strong programming skills in Python and SQL, with practical experience using machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn.

• Solid understanding of algorithms, object-oriented programming, functional design principles, and software engineering best practices.

• Hands-on experience with Pandas, NumPy, Matplotlib, and Seaborn for data analysis and visualization.

• Strong cloud experience across AWS, Azure, and/or Google Cloud, including services such as SageMaker, Lambda, S3, and Vertex AI.

• Experience with big data technologies, particularly Apache Spark and Snowflake.

• Strong NLP expertise, including Hugging Face transformer models and cloud-based AI services.

• Experience designing and optimizing databases, data warehouses, and data-processing environments.

• Familiarity with Tableau and Power BI for communicating analytical insights effectively.

• Strong analytical thinking, problem-solving ability, and a structured approach to tackling complex technical challenges.

• Excellent communication and collaboration skills, with the ability to lead, mentor, influence, and work effectively across multidisciplinary teams.

• Adaptability and a strong learning mindset, with enthusiasm for emerging AI, automation, and Agentic AI technologies.

• Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence/Machine Learning, or a related technical discipline.

Benefits

• Fully remote working opportunity within India.

• Opportunity to work on advanced AI/ML initiatives for global enterprise environments.

• Hands-on exposure to Agentic AI and emerging intelligent automation technologies within the ecosystem.

• Opportunity to lead and mentor technical teams while shaping AI engineering practices.

• Work across major cloud platforms, machine learning frameworks, NLP technologies, and modern data engineering tools.

• Opportunity to contribute to innovative projects focused on transforming enterprise workflows and intelligent decision-making.

• Collaborative environment that values employee contributions, professional growth, continuous learning, and technical innovation.