Senior Machine Learning Engineer
2 weeks ago
Location:
Mumbai
Experience: 3-5 yrs
Technologies / Skills :
Python / Java, ML Framework and Libraries, Computer Vision, Open CV, data modeling & ML model building, AWS
We are seeking a seasoned Senior Computer Vision AI & ML Engineer with a proven track record of excellence in developing custom detection models, object tracking algorithms, and expertise in building and deploying models using AWS pipelines.
As a key member of our AI team, you will be at the forefront of developing state-of-the-art solutions.Responsibilities
Design, develop, and optimize advanced computer vision and machine learning algorithms for Object Detections.
Build and train custom detection models using deep learning frameworks such as TensorFlow, PyTorch, EfficientNet, EfficientDet etc.
Have a significant knowledge of SSD Models i.e. Yolo Darkent-Ultralytics, SSD MobileNet
Implement robust object tracking algorithms to ensure high accuracy and reliability in dynamic environments.
Create end-to-end AWS pipelines for data preprocessing, model training, and deployment.
Collaborate with cross-functional teams including software engineers, and product managers to deliver scalable and efficient AI solutions.
Stay up-to-date with the latest advancements in computer vision, machine learning, and AWS services to drive innovation within the team.
Education level:
Bachelor's degree (B.E. / B. Tech) in Computer Science or equivalent from reputed institute
Experience: 3 to 5 years hands-on experience in Machine Learning. Working knowledge of AWS platform is preferred. Experience in the video surveillance Industry / developing Computer Vision based solutions would be an added advantage.
Technical Expertise
4+ years of hands-on experience in developing computer vision and machine learning algorithms.
Proven expertise in building custom detection models, object tracking algorithms, and image/video processing techniques.
Strong programming skills in Python, with proficiency in deep learning frameworks (TensorFlow, PyTorch, etc.).
Have a significant knowledge of SSD Models i.e. Yolo Darkent-Ultralytics, SSD MobileNet
Understands building datasets using CVAT Tools/ Reverse Labelling i.e. Reverse labeling in AI, also known as "counterfactual labeling" or "counterfactual data augmentation"
Experience in designing and deploying AWS pipelines for model training and deployment.
Solid understanding of cloud computing principles and familiarity with AWS services (S3, EC2, SageMaker, etc.).
Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.
Strong communication skills with the ability to explain complex technical concepts to non-technical stakeholders.
About Oneture Technologies
Founded in 2016, Oneture is a cloud-first, full-service digital solutions company, helping clients harness the power of Digital Technologies and Data to drive transformations and turning ideas into business realities.
Our team is full of curious, full-stack, innovative thought leaders who are dedicated to providing outstanding customer experiences and building authentic relationships.
We are compelled by our core values to drive transformational results from Ideas to Reality for clients across all company sizes, geographies, and industries.
The Oneture team delivers full lifecycle solutions—from ideation, project inception, planning through deployment to ongoing support and maintenance.Our core competencies and technical expertise includes Cloud powered: Product Engineering, Big Data and AI ML.
Our deep commitment to value creation for our clients and partners and "Startups-like agility with Enterprises-like maturity" philosophy has helped us establish long-term relationships with our clients and enabled us to build and manage mission-critical platforms for them.
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