Machine Learning Engineer

Job Title: Machine Learning Engineer Location: Bengaluru (Hybrid) Experience: 2-6 years About Wissen Infotech Wissen Infotech has been a trusted leader in the IT Services industry for over 25 years, delivering high-quality solutions to a global clientele. Within Wissen, the AI Center of Excellence (AI-CoE) was conceptualized to drive cutting-edge research and innovation, enabling us to build our own products and intellectual property. This team focuses on solving complex business challenges using AI while setting new benchmarks for reliable and scalable AI solutions. Position Overview We are seeking a passionate Machine Learning Engineer to join our AI-CoE team. This is a unique opportunity for individuals who are software engineers at heart and are driven to design, develop, and deploy robust AI systems. You will work on innovative projects, including building agentic systems, leveraging state-of-the-art technologies to create scalable and reliable distributed systems. Key Responsibilities • Design and develop scalable machine learning models and deploy them in production environments. • Build and implement agentic systems that can autonomously analyze tasks, process large volumes of unstructured data, and provide actionable insights. • Collaborate with data scientists, software engineers, and domain experts to integrate AI capabilities into cutting-edge products and solutions. • Develop deterministic and reliable AI systems to address real-world challenges. • Create and optimize scalable, distributed ML pipelines. • Perform data preprocessing, feature engineering, and model evaluation to ensure high performance and reliability. • Stay abreast of advancements in AI technologies and incorporate them into business solutions. • Participate in code reviews, contribute to system architecture discussions, and continuously enhance project workflows. Required Skills and Qualifications • Software Engineering Fundamentals: Strong foundation in algorithms, data structures, and scalable system design. • Education: Bachelor's or Master's degree in Computer Science, Engineering, or related fields with a solid academic track record. • Experience: 4-8 years of hands-on experience in building AI systems or machine learning applications. • Agentic Systems: Proven experience in developing systems that utilize AI agents for automating complex workflows, analyzing unstructured data, and generating actionable outcomes. • Programming: Proficiency in programming languages such as Python, Java, or Scala. • AI Expertise: Experience with machine learning frameworks like TensorFlow, PyTorch, or Hugging Face libraries (e.g., for working with transformer-based models and LLMs). • MLOps Knowledge (preferred): Familiarity with tools like MLflow, Kubeflow, Airflow, Docker, or Kubernetes. • Cloud Platforms: Hands-on experience with AWS, Azure, or Google Cloud for deploying machine learning models. • Big Data: Experience with data processing tools and platforms such as Apache Spark or Hadoop. • Problem-Solving: Strong analytical and problem-solving skills, with the ability to create robust solutions for complex challenges. • Collaboration and Communication: Excellent communication skills to articulate technical ideas effectively to both technical and non-technical stakeholders. What We Offer • An opportunity to work with cutting-edge AI technologies and solve challenging business problems. • A collaborative, innovative, and inclusive work culture. • Continuous learning opportunities and access to advanced research. • Competitive salary and comprehensive benefits