AI Ml Engineer

Machine Learning Engineer

Experience: 5 - 7 Years Exp.

Salary : 20 - 24 LPA

Preferred Notice Period: Immediate

Opportunity Type:

Placement Type:

(*Note: This is a requirement for one of the US Based Companies)

Must have skills required :

Machine Learning, Python, Generative AI, Gen AI

Looking for:

Machine Learning Engineer who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you.

Role Overview Description

We are seeking a Machine Learning Engineer with a keen interest in

generative AI to join our dynamic team.

In this role, you will assist in developing applications that leverage generative AI technologies to solve real-world business problems. You will collaborate with experienced professionals and learn how to translate business needs into technical solutions.

Key Responsibilities

• Collaborate with data scientists and software engineers to support the development of machine learning solutions.

• Assist in researching emerging trends in generative AI and contribute ideas for

improving existing systems.

• Participate in hands-on projects involving generative AI models, including language models.

• Analyze datasets to extract insights and support model development efforts.

• Document ML processes, models, and best practices for future reference.

• Learn and grow through mentorship from senior engineers and contribute to team knowledge sharing.

Qualifications

• Education: Bachelors degree in Computer Science, Data Science, Artificial Intelligence, or a related field.

• Experience: 5 -7 years of hands-on experience in machine learning, with exposure to generative models preferred but not required.

Technical Skills

• Proficiency in programming languages such as Python

• Basic understanding of SQL/No-SQL databases (e.g., MongoDB or Elasticsearch).

• Familiarity with RESTful APIs and version control systems like Git.

• Understanding machine learning algorithms and statistical methods is a plus.

Soft Skills

• Strong analytical thinking and problem-solving abilities.

• Good communication skills for effective collaboration with team members.

• Ability to work both independently and as part of a team.

Benefits

• Competitive salary package.

• Comprehensive health benefits.

• Opportunities for professional development and training.

• Flexible work environment.

• A chance to grow within an innovative company at the forefront of compliance