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Machine Learning Engineer

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.

Required Qualifications:

  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
  • 3+ 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!

What You Should Know About Machine Learning Engineer, Session AI

Session AI is at the forefront of transforming how businesses engage with their customers through innovative artificial intelligence solutions. We are excited to welcome a talented Machine Learning Engineer to our AI team in Mumbai. As a pivotal member of our team, you will have the opportunity to design, develop, and deploy machine learning models that enhance real-time customer interactions and predictive analytics. You'll collaborate closely with data scientists and software engineers to implement AI-driven features that will redefine the customer experience. In this role, you'll be tasked with building scalable machine learning pipelines and ensuring that our models run efficiently in production environments. Your analytical skills will shine as you process and analyze large-scale datasets, turning data into actionable insights. Staying updated with the latest advancements in AI technologies is key to your success, and your commitment will help us continually optimize our algorithms. If you're a passionate individual with a strong background in machine learning and a desire to innovate within a dynamic team, the Machine Learning Engineer position at Session AI might be perfect for you. Joining us means entering a collaborative and inclusive work culture that champions creativity and empowers you to push the boundaries of AI technology.

Frequently Asked Questions (FAQs) for Machine Learning Engineer Role at Session AI
What are the key responsibilities of a Machine Learning Engineer at Session AI?

As a Machine Learning Engineer at Session AI, you will be responsible for developing, training, and optimizing machine learning models for real-time customer engagement and predictive analytics. You will also build scalable machine learning pipelines, collaborate with cross-functional teams to implement AI-driven features, and analyze large datasets to improve model performance.

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What qualifications are required for the Machine Learning Engineer position at Session AI?

To be considered for the Machine Learning Engineer role at Session AI, candidates should have a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field, along with over 3 years of hands-on experience in machine learning or AI model development. Proficiency in Python and experience with frameworks like TensorFlow or PyTorch are essential.

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What tools and technologies will a Machine Learning Engineer at Session AI work with?

Machine Learning Engineers at Session AI will utilize Python, TensorFlow, PyTorch, and Scikit-learn. Familiarity with cloud platforms such as AWS, GCP, or Azure is necessary for model deployment, and knowledge of big data technologies like Spark or Hadoop can be beneficial.

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What kind of projects can a Machine Learning Engineer expect to work on at Session AI?

At Session AI, a Machine Learning Engineer can look forward to working on state-of-the-art AI applications focused on personalizing user experiences and predicting customer behavior. Projects may include developing solutions utilizing Natural Language Processing (NLP) or leveraging deep learning techniques.

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What advantages does Session AI offer to Machine Learning Engineers?

Session AI provides a collaborative and inclusive work culture that values innovation and creativity. With a competitive salary and benefits package, Machine Learning Engineers have the opportunity to shape the future of AI-driven customer experiences in a fast-evolving industry.

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Common Interview Questions for Machine Learning Engineer
Can you explain a machine learning project you've worked on?

When answering this question, focus on the project's goals, the challenges you faced, and the impact your work had on the overall solution. Highlight specific techniques or algorithms you used and any metrics that demonstrate the project's success.

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What machine learning frameworks are you most comfortable with?

Be prepared to discuss your experience with various frameworks such as TensorFlow, PyTorch, or Scikit-learn. Mention any specific projects where you've utilized these frameworks and why you prefer one over the other.

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How do you ensure the models you develop are scalable?

When discussing scalability, emphasize your experience with building scalable machine learning pipelines and your familiarity with cloud platforms for deployment. Explain your approach to optimizing algorithms for real-time inference.

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What is your process for evaluating the performance of a machine learning model?

Talk about using different performance metrics such as accuracy, precision, recall, and F1 score. Discuss how you perform cross-validation and A/B testing to assess model effectiveness and refine your approach.

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Can you describe your experience with data preprocessing?

Share your strategies for handling missing values, outliers, and data normalization. Discuss how you approach feature engineering and selection, emphasizing its importance in improving model performance.

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How do you stay updated with advancements in machine learning technologies?

Mention specific publications, conferences, or online courses you follow. Highlight your commitment to continuous learning and how you apply new concepts to your work.

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What challenges have you faced in a machine learning project, and how did you overcome them?

Discuss a specific challenge, such as dealing with imbalanced datasets or model deployment issues. Explain the steps you took to find a solution and what you learned from the experience.

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How do you approach hyperparameter tuning?

Explain your process for hyperparameter tuning, such as utilizing grid search or random search methods. Highlight any tools or frameworks you use and how you validate the outcomes of your tuning efforts.

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Have you worked with reinforcement learning or generative models?

If applicable, describe your experience with reinforcement learning or generative models. Share specific projects, models, and the outcomes, focusing on what you learned and how it informed your approach to machine learning.

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Why do you want to join Session AI as a Machine Learning Engineer?

Convey your enthusiasm for Session AI's mission and how it aligns with your career goals. Discuss your passion for AI and any particular aspects of the company culture or projects that excite you.

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Session AI, formerly ZineOne, is a revolutionary in-session marketing platform, made to overcome one key challenge – that 90% of today’s ecommerce sessions are anonymous. Our advanced machine learning models have the power to understand any custom...

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Full-time, remote
DATE POSTED
March 13, 2025

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