Machine Learning Jobs - Sep-2024

Job description:

Roles and Responsibilities:

• Design machine learning systems.
• Research and implement appropriate ML algorithms and tools.
• Develop machine learning applications according to requirements.
• Select appropriate datasets and data representation methods.
• Run machine learning tests and experiments.
• Perform statistical analysis and fine-tuning using test results.
• Train and retrain systems when necessary.
• Extend existing ML libraries and frameworks.
• Keep abreast of developments in the field.

Requirements and skills:

• Understanding of data structures, data modeling and software architecture.
• Deep knowledge of math, probability, statistics and algorithms.
• Ability to write robust code in Python(Pandas, scikit learn or tensorflow) and R(dplyr, plotly).
• Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn).
• Excellent communication skills.
• Ability to work in a team.
• Outstanding analytical and problem-solving skills.
• BSc in Computer Science, Mathematics or similar field.
• Good to have AWS or GCP skillset or Docker.

Job description:

• Prototype, develop and experiment with computer vision techniques and explore a variety of approaches.
• Understand product requirements and translate them into engineering goals and tasks.
• Explore new methods to leverage a large data-set of spontaneous real-world visual & image data.
• Build systems for an end-to-end production-grade stack with low latency and high throughput.
• Design, implement and optimize algorithms to run on edge devices.

Requirements:

• Knowledge about computer vision, neural networks, optimization techniques and machine learning algorithms.
• Responsible for building the ML/DL model according the specified requirements.
• Strong knowledge in python programming.
• Strong knowledge on ML/DL frameworks like TensorFlow, Keras, PY Torch, Spacy, Scikit learn.
• Knowledge on PyQt.

Job Description

We are looking for a skilled Technical Product Manager who :

• Owns the releases, de-risks them, and takes them to completion.
• Understand the technical details of the development and break down project work to provide clarity.
• Identify the need for resources from or trade-offs with other teams to maximize the overall company's goals.
• Coordinate with cross-functional teams to manage dependencies, risks, and schedules.
• Communicate effectively to others about project status and resolutions.
• Coordinate work and manage
• Take an active part in the development of AI/ML-based solutions and liaise with stakeholders to analyze business problems, clarify requirements, and define the scope of the resolution needed
• Plan and develop requirements/standards for scheduled projects in the domain of data-driven technologies
• Hold regular technical team meetings to determine progress and identify bottlenecks, risks, and dependencies and coordinate discussions with cross-functional teams to review project deliverables
• Facilitate communication with key strategy stakeholders, including regular reports and strategy progress meetings
• Determine and define clear deliverables, roles and responsibilities of the team for specific projects or initiatives
• Documenting and following up on important actions and decisions from meetings
• Provide coaching and direction to AI/ML team members as required
• Establish and maintain standard operating procedures, documentation, and metrics appropriate for the business
• Maintain awareness of industry standards and best practices in the area of AI/ML
• Identify opportunities for continuous improvement in alignment with the productivity and sustainability goals
• Oversee the implementation of project improvements
• Manage the execution of the product definition in an Agile/scrum environment

Key Requirements

• Bachelor's Degree in engineering with 5+ years of work experience
• B. Tech degree with an MBA will be preferred
• PMP or Agile Scrum Master certification will be preferred
• Domain: Artificial Intelligence led solutions
• Know-how of data-driven solutions, key performance indicators, quick problem-solving ability
• Efficient people management skills and excellent leadership abilities
• Familiarity with data science terminologies and possess computer literacy skills
• Excellent interpersonal and communication skills
• Experience in cloud technologies with an interest in learning about the latest technologies will be an advantage
• Detail-oriented and antsy about specifics
• Experience in delivering results by driving the execution of programs spanning multiple locations (ref:hirist.com)

Job Description

The ML Engineer will be responsible for developing and deploying Machine learning models mainly Chatbots.

Requirements:

• 2+ years experience in ML
• Should have worked on fine tune pretrained model
• Should have knowledge about model development and deployment
• Knowledge about QLora, fine tunning will be plus
• Knowledge about Falcon, Guanaco or Vicuna model will be added advantage

Job Description

As an ML Engineer at Axiado India, you will have the opportunity to work on groundbreaking projects and leverage your expertise to contribute to the advancement of cybersecurity. You will be part of a dynamic team of experts, collaborating on cutting-edge research and developing innovative solutions to address the challenges of the digital world. You will be working on the world's first purpose-built, fully integrated AI-driven hardware security platform.

What you will be doing:-

• Developing machine learning models for Axiado security products.
• Cleaning data and augmenting datasets.
• Create new data sets for the applications which don’t have existing datasets.
• Evaluating different CNN HW acceleration models and provide feedback to HW team.
• Work with Embedded SW team in integrating the HW acceleration device drivers.
• Some familiarity in embedded systems desired.

Qualifications

• Minimum of 5 years of professional experience as an ML Engineer.
• Strong proficiency in Machine Learning techniques and tools, with a focus on Tensorflow.
• Proficiency in C and C++ for at least 5 years.
• Knowledge of statistical analysis, data modeling, and algorithm development.
• Experience with large-scale data processing and distributed computing frameworks.
• Strong programming skills in relevant languages (Python, R, etc.).
• Excellent problem-solving skills and the ability to work in a collaborative team environment.