Data/AI Engineer

We are looking for a highly skilled Senior Data/AI Engineer with 6–8 years of experience to join our innovative team. As a Senior Data/AI Engineer, you will be responsible for designing and implementing advanced data models, machine learning algorithms, and AI-powered solutions to solve complex business problems. You will work closely with data scientists, software engineers, and business stakeholders to drive data-driven decision-making and build scalable AI systems.

• Lead the design, development, and implementation of advanced data pipelines and AI models for large-scale applications.
• Architect and optimize machine learning workflows for production-grade systems.
• Apply deep learning, NLP, and reinforcement learning techniques to solve real-world business problems.
• Lead a team of data engineers and AI practitioners in developing and deploying high-impact solutions.
• Collaborate with cross-functional teams to identify business needs and deliver tailored AI solutions.
• Conduct data exploration, data cleaning, feature engineering, and model selection for predictive analytics and automation.
• Implement model validation, performance tuning, and experimentation to continuously improve AI models.
• Optimize data processing systems for efficiency, scalability, and performance using big data technologies like Hadoop, Spark, and others.
• Ensure best practices in data governance, privacy, and ethical AI implementation.
• Mentor and guide junior engineers, fostering a culture of continuous learning and innovation.
• Stay current with the latest trends and research in AI, machine learning, and data engineering to ensure the company remains at the forefront of the industry.

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related fields.
• 6–8 years of hands-on experience in data engineering and artificial intelligence.
• Expertise in machine learning frameworks such as TensorFlow, PyTorch, Keras, or similar.
• Strong experience with big data technologies like Hadoop, Spark, Kafka, etc.
• Deep knowledge of data architectures and data modeling techniques for structured, semi-structured, and unstructured data.
• Proficiency in programming languages such as Python, Java, Scala, or similar.
• Strong experience with cloud platforms like AWS, GCP, or Azure.
• Hands-on experience with data warehousing, ETL pipelines, and data lakes.
• Experience with deploying ML models in production and working with DevOps/MLOps frameworks.
• Familiarity with AI/ML platforms and APIs for cloud-based data and AI solutions.
• Strong analytical skills, problem-solving abilities, and attention to detail.
• Excellent communication and collaboration skills to work with cross-functional teams.

1. Proven expertise in machine learning and AI model deployment in production environments.
2. Deep understanding of data pipeline optimization, scalability, and performance tuning.
3. Strong leadership capabilities and experience mentoring junior engineers.
4. Advanced knowledge of cloud computing and data infrastructure.
5. Ability to design and implement AI/ML solutions that are aligned with business needs and data security standards.
6. Excellent troubleshooting and debugging skills for complex data systems.
7. Demonstrated ability to handle multiple priorities in a fast-paced environment.

• Competitive salary and benefits package.
• Opportunity to work with cutting-edge technologies in the AI and data engineering space.
• A collaborative environment with opportunities for professional growth and career advancement.
• Flexibility to work in a hybrid or fully remote setup.
• Access to continuous learning resources and AI/ML conferences.
• A supportive and inclusive team culture where innovation is encouraged and rewarded.
• Health benefits, retirement plans, and wellness programs.