Machine Learning Engineer

🚀 Senior/Lead Machine Learning Engineer | Unlock the Future of AI 🚀

Are you passionate about solving complex business problems with cutting-edge AI solutions? Do you thrive in a dynamic, client-focused environment? We are seeking a Senior/Lead Machine Learning Engineer to join our innovative team and shape the future of data-driven decision-making.

🔍 About the Role

As a Senior/Lead ML Engineer, you'll work across diverse industries, leveraging advanced analytics and machine learning to deliver impactful business outcomes. You'll lead projects from conception to deployment while mentoring a team of talented engineers and data scientists.

🛠️ Key Responsibilities

• 🤝 Client Engagement: Collaborate with clients to understand their business challenges and translate them into AI solutions.
• 🧠 Machine Learning Development: Design, develop, and deploy machine learning models to solve complex problems.
• 👥 Team Leadership: Guide, mentor, and support a team of data professionals through end-to-end project execution.
• 🔍 Solution Architecture: Architect robust, scalable, and efficient ML pipelines for production environments.
• 🔄 Continuous Improvement: Maintain, refine, and enhance existing models and algorithms for optimal performance.

🎯 What We Expect

• 📊 Experience: 4+ years overall with 3+ years in Data Science and 3+ years in Software Development.
• 🐍 Programming Mastery: Proficiency in Python, Java, or C/C++.
• ☁️ Cloud Expertise: Hands-on experience with AWS, Azure, or GCP; solid understanding of cloud-native services and trade-offs.
• 🛠️ Data Engineering: Experience with Spark/PySpark, ETL pipelines, and workflow orchestration tools like Airflow.
• 🔢 Advanced Analytics: Strong foundation in machine learning algorithms, statistical methods, and SQL.
• 💬 Communication Skills: Excellent written and verbal communication to collaborate with cross-functional teams and stakeholders.

🎓 Education

• B.Tech from Tier-1 college / M.S or M.Tech preferred.