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Learning Engineer
2 months ago
We are seeking a skilled and motivated Machine Learning Engineer to contribute to our cutting-edge AI projects. In this role, you will work closely with data scientists, software engineers, and researchers to develop, deploy, and optimize machine learning models that drive our core products and services.
Key Responsibilities:
Design, implement, and refine machine learning algorithms and models for a variety of applications, including natural language processing, computer vision, and recommendation systems.
Collaborate with data engineers to collect, preprocess, and analyze large datasets. Ensure data quality and integrity for effective model training and evaluation.
Optimize model performance through hyperparameter tuning, feature engineering, and advanced techniques such as transfer learning and ensemble methods.
Develop scalable and efficient pipelines for deploying machine learning models into production environments. Monitor model performance and implement updates as necessary.
Work with cross-functional teams to understand requirements, provide technical insights, and integrate machine learning solutions into existing systems and workflows.
Stay current with the latest advancements in machine learning and AI. Contribute to research initiatives and explore new technologies and methodologies to improve our offerings.
Qualifications:
Bachelor‘s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field. Ph.D. is a plus.
Proven experience in developing and deploying machine learning models. Familiarity with various machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
Proficiency in programming languages such as Python & R
Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and containerization tools (e.g., Docker, Kubernetes).
Strong understanding of machine learning algorithms, statistical analysis, and data modeling.
Excellent analytical and problem-solving skills. Ability to tackle complex challenges and devise effective solutions.
Strong verbal and written communication skills. Ability to convey technical concepts to non-technical stakeholders.
Proven ability to work collaboratively in a fast-paced, team-oriented environment.
Experience with deep learning frameworks and techniques.
Key traits:
● Should have excellent communication skills.
● Should be self motivated and willing to work as part of a team.
● Should be able to collaborate and coordinate with onsite and offsite
● Be a problem solver and be proactive to solve the challenges that come his way.
Company Profile:-
Conceptualized as far back as 2015, and commencing full-time operations in 2018, Blackstraw technologies Pvt Ltd. is a software products and services company specializing in Artificial Intelligence (AI) and Machine Learning solutions for various industries. We support businesses around the world, including North America, Europe and Asia, working to simplify AI implementation through our platform that expedites data labeling, AI model-training, and cloud or on-premise deployments. With more than 900 years of combined work-experience, the 250+-strong Blackstraw Team comprises various experts in the AI value chain. We are a fast-moving team that prides ourselves in rapidly identifying different use-cases and fine-tuning our products to suit specific business needs. We are focused on providing solutions related to computer vision, natural language processing, Data annotation tools for deep learning models, etc. To stay competitive in business, it is key for organizations to adopt and implement smart AI solutions and service offerings. However, most companies are unable to implement AI rapidly due to the complexity of existing solutions, inadequate data and cost implications. Our mission is to enable enterprises to adopt AI in an easier, cost-effective and time-efficient manner with a plug-and-play approach to their data. Blackstraw operations are based out of Canada, USA & India. Our head office is based in Florida
