TO GET TIMELY UPDATES ON JOB OPENINGS, FEEL FREE TO JOIN OUR COMMUNITY @ https://www.industryacademiacommunity.com (4L+ MEMBERS FROM 35+ COUNTRIES) Job Overview: Looking for a highly skilled Senior Machine Learning Engineer to join our team. As a Senior ML Engineer, you will play a key role in developing and deploying cutting-edge machine learning models and algorithms to solve complex business problems. You will work closely with cross-functional teams to design, implement, and optimize ML solutions that drive business impact. Responsibilities: • Research, design, and implement machine learning algorithms and models to solve business challenges • Collaborate with data scientists and domain experts to gather requirements, analyze data, and validate hypotheses • Develop scalable and efficient machine learning pipelines for data preprocessing, feature engineering, model training, and evaluation • Design and implement experiments to evaluate model performance, interpret results, and iterate on models to improve accuracy and efficiency • Deploy machine learning models into production systems and monitor their performance in real-world applications • Work closely with software engineers to integrate machine learning models into existing systems and develop new features • Stay up-to-date with the latest advancements in machine learning research and apply them to solve business problems effectively • Mentor junior team members and provide technical guidance on best practices in machine learning development and deployment Mandatory Requirements: • Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or a related field. Advanced degree (MS/PhD) preferred • 4-7 years of experience in machine learning, data science, or a related field, with a proven track record of developing and deploying machine learning models in production environments • Strong programming skills in Python and proficiency in machine learning libraries such as TensorFlow, PyTorch, or scikit-learn • Experience with big data technologies such as Apache Spark for data processing and distributed computing • Solid understanding of machine learning algorithms, statistical methods, and deep learning techniques • Experience with cloud platforms such as AWS, Azure, or GCP, and familiarity with deploying ML models using containerization technologies (Docker, Kubernetes) • Excellent problem-solving skills and ability to work independently as well as part of a team in a fast-paced environment • Strong communication skills with the ability to explain complex concepts and findings to both technical and non-technical stakeholders Preferred Requirements: • Experience with natural language processing (NLP) or computer vision (CV) applications • Knowledge of reinforcement learning techniques and their applications • Familiarity with version control systems (e.g., Git) and agile software development methodologies Benefits: • Competitive salary and benefits package • Opportunities for professional development and career advancement • Exposure to cutting-edge technologies and industry best practices • Dynamic and collaborative work environment • Potential for remote work options and flexible work hours Job Location: Remote/Hybrid/In-Office Note: To accomplish our vision, our Flagship Event 'IAC VISION 2030' would provide employment and career opportunities for millions of job-ready interns, freshers and professionals in our Industry Academia Community (IAC). By submitting your application you accept the Terms and Conditions.