Machine Learning Jobs in Web3

247 jobs found

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Job Position Company Posted Location Salary Tags

Synechron

Bengaluru, India

$103k - $117k

DFINITY

Switzerland

$105k - $108k

DFINITY

Switzerland

$45k - $72k

Sahara

San Francisco, CA, United States

$126k - $127k

Gate.io

Remote

$85k - $107k

Coinbase

Remote

$180k - $212k

Genies

Remote

$165k - $230k

Genies

Remote

$165k - $230k

Genies

Remote

$123k - $158k

Genies

Remote

$123k - $158k

RoofStacks

İstanbul

$105k - $120k

RoofStacks

İstanbul

$105k - $115k

Coinbase

Remote

$218k - $256k

Menyala

Remote

$126k - $127k

Synechron
$103k - $117k estimated
Bengaluru - BCIT India
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Overall Responsibilities:

Lead the Other Technologies team in delivering high-quality solutions for clients. Manage and prioritize the team's development initiatives to align with the company's overall business objectives. Stay up-to-date with industry trends and advancements in Other Technologies. Develop and implement policies and procedures that support the use of Other Technologies. Collaborate with cross-functional teams to drive innovation and solve complex problems.

Experience: 12+ years of experience in Other Technologies development. Education Qualifications:

Bachelor's or Master's degree in Computer Science, Information Technology, or related field. Professional certifications in Other Technologies are a plus.

Software Requirements:

Strong technical skills in Other Technologies such as cloud computing, AI/ML, blockchain, and IoT. Knowledge of software development methodologies (e.g., Agile, Scrum, etc.).

Category-wise Technical Skills:

Other Technologies:

Cloud computing Artificial Intelligence/Machine Learning (AI/ML) Blockchain Internet of Things (IoT)

Software Development:

Agile methodologies Scrum framework

Project Management:

Strong project management skills Ability to manage and prioritize multiple projects

Day-to-Day Activities:

Lead Other Technologies projects and ensure timely delivery of deliverables. Communicate with stakeholders to gather requirements, provide solutions, and present Other Technologies insights. Mentor and guide team members to deliver high-quality work. Stay up-to-date with industry trends and advancements in Other Technologies. Develop and implement policies and procedures to ensure the effective use of Other Technologies within the organization.

Qualifications & Soft Skills:

Strong leadership and mentorship skills. Excellent communication and interpersonal skills. Strong business acumen and the ability to translate software development goals into business value. Ability to work in a fast-paced and dynamic environment. Collaborative and team-oriented mindset. Customer-focused and solution-oriented approach.

S​YNECHRON’S DIVERSITY & INCLUSION STATEMENT  Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

Candidate Application Notice

Is machine learning a good career?

Yes, machine learning is a rapidly growing field and can be a very promising career option for those interested in it

As businesses and industries increasingly rely on data to drive decision-making, there is a growing need for skilled professionals who can analyze and make sense of this data

Machine learning, which involves developing algorithms that can learn from and make predictions on large datasets, is a crucial part of this process

Machine learning careers can range from data analysts, machine learning engineers, data scientists, and more

These professionals work in a variety of industries, including finance, healthcare, e-commerce, and technology

The demand for machine learning experts is high, and the salaries in this field are also generally quite competitive

However, it's important to note that machine learning can be a complex field that requires a strong background in mathematics, statistics, and computer science

It also requires ongoing learning and staying up-to-date with the latest developments and tools in the field

If you enjoy working with data, have a strong interest in programming, and are willing to put in the effort to stay current with developments, a career in machine learning can be very rewarding.