Mineral

Senior AI/ML Engineer

Bengaluru, Karnataka, India

Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Software DevelopmentIndustries

Position Overview

  • Location Type: Remote
  • Employment Type: Contract
  • Job Type: Senior AI/ML Engineer
  • Salary: (Not specified)

As a Senior AI/ML Engineer at Mindera, you will be responsible for driving the design and implementation of advanced AI and Machine Learning solutions. You will work closely with data scientists, product managers, and software engineers to create robust machine learning models and systems, encompassing the entire development lifecycle from data wrangling to model deployment, adhering to MLOps principles.

Requirements

  • Experience: 5+ years of experience in AI/ML engineering or related roles.
  • Programming Languages: Strong proficiency in Python.
  • ML Libraries & Frameworks: Familiarity with ML libraries and frameworks such as TensorFlow, PyTorch, or Scikit-Learn.
  • Machine Learning Methodologies: Expertise in supervised, unsupervised, reinforcement, and deep learning.
  • Data Preprocessing & Evaluation: Experience with data preprocessing, feature engineering, and model evaluation techniques.
  • Cloud Services: Knowledge of cloud-based machine learning services (AWS, Azure, GCP) and deployment strategies.
  • MLOps Practices: Understanding of MLOps practices, including CI/CD pipelines, containerization, and orchestration tools.
  • Problem-Solving: Excellent problem-solving skills and the ability to work collaboratively within a team.

Responsibilities

  • Design and build scalable AI/ML models.
  • Implement robust data pipelines.
  • Collaborate with cross-functional teams on requirements and project scopes.
  • Conduct experiments to test and validate model effectiveness.
  • Oversee model deployment and monitoring.
  • Mentor and guide junior engineers.
  • Stay current with advancements in AI/ML.

Application Instructions

(Not specified in the provided text)

Company Information

At Mindera, we are passionate about building software that matters. We use technology to build products we are proud of, with people we love. Software Engineering Applications, including Web and Mobile, are at the core of what we do at Mindera. We partner with our clients, to understand their products and deliver high-performance, resilient and scalable software systems that create an impact on their users and businesses across the world. You get to work with a bunch of great people, and the whole team owns the project together.

Benefits

  • Flexible working hours (self-managed)
  • Competitive salary
  • Annual bonus, subject to company performance
  • Access to Udemy online training and opportunities to learn and grow within the role

Skills

Python
TensorFlow
PyTorch
Scikit-Learn
Supervised Learning
Unsupervised Learning
Reinforcement Learning
Deep Learning
Data Preprocessing
Feature Engineering
Model Evaluation
AWS
Azure
GCP
MLOps
CI/CD
Containerization
Orchestration
Problem-Solving
Team Collaboration

Mineral

Develops AI tools for sustainable agriculture

About Mineral

Mineral.ai develops technology solutions aimed at improving the agriculture industry. The company utilizes perception technology, artificial intelligence (AI), and machine learning (ML) to create tools that help farmers, researchers, and agricultural advisors increase crop yields, manage pests, and adapt to climate change. Their products include precision agriculture tools that optimize resource use and advanced data analytics platforms that provide insights from agricultural data. Unlike many competitors, Mineral.ai focuses on creating partnerships within the agriculture sector to co-develop solutions, enhancing their product offerings. The goal of Mineral.ai is to support sustainable food production and help feed the world more efficiently.

Mountain View, CaliforniaHeadquarters
N/AYear Founded
VENTURE_UNKNOWNCompany Stage
Food & Agriculture, AI & Machine LearningIndustries
51-200Employees

Risks

Transition from Alphabet may lead to financial instability and resource loss.
Licensing model could reduce control over technology application and revenue stability.
Difficulty in monetizing technology indicates challenges in creating durable revenue streams.

Differentiation

Mineral.ai uses AI and ML to revolutionize agriculture with precision tools.
The company partners with industry leaders like Driscoll's for real-world technology applications.
Mineral.ai's licensing model allows broad integration into existing agribusiness systems.

Upsides

Licensing model increases market reach and technology integration in agribusiness.
Partnerships with companies like Driscoll's enhance technology application and sustainability goals.
Growing interest in agrivoltaic systems offers new partnership opportunities for Mineral.ai.

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