Machine Learning Engineer - AI - (Remote - India)

About Jobgether

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our companies is currently looking for a Machine Learning Engineer - AI in India.

As a Machine Learning Engineer focusing on NLP, you will be responsible for designing, developing, and deploying machine learning and deep learning models, with an emphasis on Natural Language Processing (NLP) solutions. You will lead the development of cutting-edge NLP projects, guiding the creation and deployment of models in production while ensuring the professional management of these models throughout their lifecycle. In addition to your technical contributions, you will provide mentorship to team members and help shape the team's growth.

Accountabilities:

• Lead the design, development, deployment, and maintenance of machine learning and deep learning projects with a focus on NLP.
• Provide technical leadership in the development of NLP solutions and guide the team through best practices in machine learning.
• Evaluate and select appropriate machine learning solutions in collaboration with the product team, aligning technical and business needs.
• Define and architect machine learning-based projects, ensuring integration with other platforms and products.
• Oversee the full lifecycle of machine learning models, including data gathering, training, deployment, A/B testing, and ongoing monitoring.
• Communicate the approach, challenges, and results to stakeholders through articles, presentations, and technical discussions.

• Proven expertise in NLP, with hands-on experience in deploying machine learning and deep learning models at scale in a SaaS or Cloud environment.
• Strong technical proficiency in deep learning frameworks such as PyTorch, TensorFlow/Keras.
• Advanced knowledge of HuggingFace libraries (transformers, tokenizers) or Fairseq.
• Proficiency in Python, Docker, Kubernetes, and Helm.
• Demonstrated success in mentoring and providing technical leadership within a team.
• Familiarity with large datasets and distributed computing, particularly on Google Cloud Platform, is a plus.
• Bonus skills include knowledge of Java, Scala, Go-Lang, Kubeflow, OpenCV, and experience working with models like BERT.

• Competitive Salaries: Attractive compensation based on experience.
• Health Benefits: Comprehensive medical insurance for you and your family.
• Life Insurance: Fully paid premiums for life insurance.
• Work-Life Balance: Flexible hours and paid time off (PTO).
• Mental Wellness: Access to a mental wellness platform.
• Physical Wellness: Gym reimbursement to support your fitness.
• Childcare Support: Childcare reimbursement to ease work-life balance.
• Diversity & Inclusion: A workplace that celebrates and thrives on diversity and inclusion.

Jobgether Hiring Process Disclaimer

This job is posted on behalf of one of our partner companies. If you choose to apply, your application will go through our AI-powered 3-step screening process, where we automatically select the 5 best candidates.

Our AI thoroughly analyzes every line of your CV and LinkedIn profile to assess your fit for the role, evaluating each experience in detail. When needed, our team may also conduct a manual review to ensure only the most relevant candidates are considered.

Our process is fair, unbiased, and based solely on qualifications and relevance to the job. Only the best-matching candidates will be selected for the next round.

If you are among the top 5 candidates, you will be notified within 7 days.
If you do not receive feedback after 7 days, it means you were not selected. However, if you wish, we may consider your profile for other similar opportunities that better match your experience.

Thank you for your interest!

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