Company Description
EsyConnect is a prominent and innovative job portal that has established itself as a leading platform for connecting job seekers with employers. With a user-friendly interface and a comprehensive range of features, EsyConnect offers a seamless and efficient job search experience for individuals looking for employment opportunities and companies seeking talented professionals.
The primary objective of EsyConnect is to bridge the gap between job seekers and employers by providing a centralized platform where both parties can connect, communicate, and collaborate effectively. The platform boasts a vast database of job listings across various industries and sectors, catering to a wide range of job preferences and qualifications.
Job Description
We are seeking a talented and innovative AI/ML Engineer to join our team in Navi Mumbai, India. As an AI/ML Engineer, you will be at the forefront of developing cutting-edge artificial intelligence and machine learning solutions that drive our company's technological advancements.
- Design, develop, and implement machine learning models and algorithms to solve complex business problems
- Collaborate with cross-functional teams to identify and prioritize AI/ML opportunities
- Preprocess and clean large datasets, perform feature engineering, and conduct exploratory data analysis
- Develop and maintain scalable ML pipelines for model training, evaluation, and deployment
- Optimize existing ML models for improved performance and efficiency
- Stay up-to-date with the latest advancements in AI/ML technologies and implement best practices
- Contribute to the development of AI/ML strategies and roadmaps
- Mentor junior team members and share knowledge through documentation and presentations
Qualifications
- Master's or Ph.D. in Computer Science, Machine Learning, or a related field
- 3+ years of experience in AI/ML development
- Strong proficiency in Python and experience with R or Java
- Expertise in machine learning frameworks such as TensorFlow, PyTorch, and scikit-learn
- Experience with deep learning techniques, natural language processing, and computer vision
- Familiarity with big data technologies like Hadoop and Spark
- Proficiency in working with cloud platforms (AWS, Azure, or GCP)
- Strong understanding of statistical analysis and mathematical concepts
- Experience with data preprocessing, feature engineering, and model deployment
- Proven track record of implementing and deploying ML models in production environments
- Excellent problem-solving skills and attention to detail
- Strong communication skills and ability to explain complex concepts to non-technical stakeholders
- Experience with version control systems, preferably Git
- Knowledge of current AI/ML trends and best practices
- Relevant certifications (e.g., AWS Machine Learning Specialty, Google Cloud Professional Machine Learning Engineer) are a plus
Additional Information
All your information will be kept confidential according to EEO guidelines.