Senior Data Engineer

About the Company

Impact Makers is a purpose-driven organization committed to creating social value through innovation, technology, and community impact. We believe business success and positive societal change go hand in hand. By delivering high-quality technology, data, cloud, and AI solutions, we help organizations achieve their goals while contributing to stronger communities and sustainable growth. Our culture is built on collaboration, integrity, inclusion, and making a meaningful difference every day.

About the Role

Impact Makers India is seeking a talented and driven Senior AI Engineer to build cutting-edge AI/ML, Data Engineering, and Generative AI solutions that solve real-world business challenges. The ideal candidate should have experience in Python, SQL, Databricks, PySpark, Azure Data Services, and Generative AI technologies such as LLMs, RAG, and Azure OpenAI.

Responsibilities

• Build and deploy scalable AI/ML models and Generative AI solutions in production.
• Design, develop, and maintain robust ETL pipelines and data workflows.
• Develop LLM-based applications using modern frameworks and best practices.
• Implement prompt engineering techniques to optimize AI outputs.
• Deploy AI models through APIs and integrate them with enterprise applications.
• Own end-to-end development, deployment, monitoring, and optimization.
• Collaborate with cross-functional teams to deliver business-driven AI solutions.

Qualifications

• 3–8 years of overall IT experience.
• 3+ years of hands-on experience in AI Engineering, Machine Learning, or Data Engineering.
• Bachelor's or Master's degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, Machine Learning, Electronics & Communication Engineering, or related fields.
• Relevant AI/ML, Data Engineering, or Cloud certifications are a plus.

Required Skills

• Strong Python programming skills including OOP, API development, automation, and data processing.
• Strong experience in Data Engineering, data modeling, ETL/ELT processes, and large-scale data pipelines.
• Hands-on experience with ETL tools and data workflows.
• Strong SQL skills and experience with relational and cloud data platforms.
• Hands-on experience with TensorFlow, PyTorch, and Scikit-learn.
• Experience working with LLMs and prompt engineering.
• Familiarity with Lang Chain, Llama Index, and Hugging Face.
• Experience with Azure, AWS, or GCP.
• Experience with Databricks, PySpark, and distributed data processing frameworks.
• Experience with MLflow, Kubeflow, and Airflow.
• Strong experience in API development, model deployment, and production support.
• B2-level English proficiency or higher.

Preferred Skills

• Strong analytical and problem-solving abilities.
• Excellent communication and presentation skills.
• Strong collaboration and teamwork skills.
• Ability to manage multiple priorities in a fast-paced environment.
• Self-motivated and proactive mindset.
• Strong attention to detail and quality.
• Adaptability and continuous learning attitude.
• Critical thinking and decision-making skills.
• Stakeholder management and customer-centric approach.
• Mentoring and knowledge-sharing mindset.

Nice to Have

• Experience with RAG architectures and vector databases.
• Experience with Data Lakes and Lakehouse architectures.
• Knowledge of streaming technologies such as Kafka or Spark Streaming.
• Exposure to scalable system design and microservices architecture.
• Experience with cloud data engineering solutions and ETL pipelines.

Impact Makers is an Equal Opportunity Employer committed to diversity, inclusion, and equal employment opportunities for all. We welcome qualified applicants from all backgrounds and are dedicated to creating a workplace where everyone can succeed.