Machine Learning and AI Engineering Director
6 days ago
Covvalent, a cloud manufacturer focusing on at-risk specialty chemicals raw materials for FMCG, AgroChemicals, Paints, Inks & Coatings, and Pharmaceuticals manufacturers, seeks an accomplished Tech Lead with expertise in Machine Learning and Artificial Intelligence to join its dynamic team. The ideal candidate will possess a deep understanding of ML/AI technologies, excellent leadership abilities, and a strong track record of delivering high-quality solutions.
As a Tech Lead, you will be responsible for developing and deploying advanced AI/ML models and systems, setting strategic direction, and ensuring successful delivery of technological initiatives. This role requires a leader with a deep understanding of technology, exceptional management skills, and a track record of driving engineering excellence and innovation.
Key Responsibilities- Design, develop, and deploy scalable machine learning models and AI solutions.
- Stay up-to-date with the latest advancements in AI/ML and incorporate new technologies and methodologies into the team's workflow.
- Build and manage the engineering team, providing mentorship, guidance, and support to foster a high-performance culture.
- Oversee the design, development, and delivery of technology solutions, ensuring they meet quality standards.
- Define, maintain, and collaborate cross-functionally on the product roadmap, ensuring alignment with the company's strategic objectives and market needs.
- Drive the adoption of best practices in engineering, including Agile methodologies, code quality, and continuous integration/continuous deployment (CI/CD).
- Bachelor's or Master's degree from a tier 1 institution in Computer Science, Engineering, or a related field.
- 5+ years of experience in software engineering with a focus on ML/AI technologies and 2+ years in a leadership or management capacity.
- Strong proficiency in programming languages such as Python, Java, or C++.
- Deep understanding of machine learning algorithms, data processing, and model evaluation.
- Experience with popular ML frameworks.
- Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud) and their ML services.
- Familiarity with data engineering practices and big data technologies (e.g., Spark, Hadoop) is a plus.
The estimated salary for this position is around $120,000 per year, considering the location and industry standards. As a member of our team, you will have opportunities for professional growth and development, working on cutting-edge projects and collaborating with talented individuals.
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