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Senior Machine Learning Engineer

Remote: 
Full Remote
Contract: 
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field., 5+ years of hands-on experience in machine learning, deep learning, or AI model development., Proficiency in Python and frameworks such as TensorFlow, PyTorch, or Scikit-learn., Strong understanding of data structures, algorithms, and distributed computing..

Key responsabilities:

  • Develop, train, and optimize machine learning models for real-time customer engagement and predictive analytics.
  • Build scalable machine learning pipelines and deploy models into production environments.
  • Collaborate with cross-functional teams to define and implement AI-driven features.
  • Process and analyze large-scale datasets to derive insights and improve model performance.

Session AI logo
Session AI SME https://www.sessionai.com/
51 - 200 Employees
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Job description

About Session AI:

Session AI is a cutting-edge technology company revolutionizing customer engagement through artificial intelligence. Our AI-driven platform enables businesses to personalize user experiences, predict customer behavior, and optimize digital interactions in real time.

Job Summary:

We are seeking a highly skilled Machine Learning Engineer to join our AI team in Mumbai. The ideal candidate will have expertise in designing, developing, and deploying machine learning models for real-time applications. You will work closely with data scientists, software engineers, and product teams to integrate AI-driven solutions into our platform.

Key Responsibilities:

  • Develop, train, and optimize machine learning models for real-time customer engagement and predictive analytics.
  • Build scalable machine learning pipelines and deploy models into production environments.
  • Collaborate with cross-functional teams to define and implement AI-driven features.
  • Process and analyze large-scale datasets to derive insights and improve model performance.
  • Stay up to date with advancements in AI, deep learning, and machine learning technologies.
  • Optimize algorithms for efficiency, scalability, and real-time inference.
  • Conduct A/B testing and evaluate model effectiveness using appropriate performance metrics.

Requirements

Required Qualifications:

  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
  • 5+ years of hands-on experience in machine learning, deep learning, or AI model development.
  • Proficiency in Python and frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  • Strong understanding of data structures, algorithms, and distributed computing.
  • Experience with cloud platforms such as AWS, GCP, or Azure for model deployment.
  • Familiarity with MLOps, model monitoring, and CI/CD pipelines.
  • Knowledge of big data technologies like Spark, Hadoop, or Kafka is a plus.
  • Excellent problem-solving skills and ability to work in a fast-paced environment.

Preferred Qualifications:

  • Experience with Natural Language Processing (NLP) or Computer Vision.
  • Exposure to reinforcement learning or generative AI models.
  • Contributions to open-source AI/ML projects.

Why Join Us?

  • Work on state-of-the-art AI applications with a talented and innovative team.
  • Competitive salary and benefits package.
  • Opportunity to shape AI-driven customer experiences in a dynamic industry.
  • Collaborative and inclusive work culture fostering growth and creativity.

If you're passionate about AI and eager to build cutting-edge machine learning solutions, we'd love to hear from you!

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Problem Solving

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