Experience: 2–3 Years
Employment Type: Full-Time
Location: Pune
Work Mode: Work From Office
About the Role
We are looking for a skilled Machine Learning Engineer with 2–3 years of hands-on experience in developing, training, and deploying machine learning models. The ideal candidate should have a strong foundation in Machine Learning, Python, Deep Learning, and practical knowledge of Quantum Computing / Quantum Machine Learning (QML).
Key Responsibilities
- Develop, train, evaluate, and optimize machine learning models for real-world applications.
- Work with structured and unstructured datasets, including data preprocessing, feature engineering, and model evaluation.
- Implement machine learning and deep learning algorithms using Python.
- Develop and maintain ML pipelines for model training, testing, and deployment.
- Research and explore Quantum Computing and Quantum Machine Learning techniques and their practical applications.
- Work with quantum computing frameworks such as Qiskit, PennyLane, or Cirq.
- Explore hybrid classical–quantum machine learning approaches.
- Collaborate with software engineers, data scientists, and business teams to integrate ML solutions into applications.
- Monitor model performance and continuously improve accuracy, scalability, and efficiency.
- Stay updated with the latest developments in Machine Learning, AI, and Quantum Computing.
Required Skills
- 2–3 years of professional experience in Machine Learning / AI.
- Strong programming skills in Python.
- Good understanding of supervised and unsupervised machine learning algorithms.
- Hands-on experience with Scikit-learn, Pandas, NumPy, and related ML libraries.
- Knowledge of Deep Learning frameworks such as TensorFlow or PyTorch.
- Experience with data preprocessing, feature engineering, model training, and evaluation.
- Understanding of Quantum Computing fundamentals such as qubits, quantum gates, quantum circuits, and quantum algorithms.
- Practical or academic experience with Quantum Machine Learning.
- Knowledge of at least one quantum computing framework: Qiskit, PennyLane, or Cirq.
- Good understanding of statistics, probability, and linear algebra.
- Strong analytical and problem-solving skills.
Good to Have
- Experience with Generative AI / LLMs.
- Knowledge of NLP or Computer Vision.
- Experience with cloud platforms such as AWS, Azure, or GCP.
- Knowledge of MLOps, Docker, Git, and CI/CD.
- Familiarity with hybrid quantum-classical algorithms such as VQE or QAOA.
- Experience working with quantum simulators or cloud-based quantum computing platforms.
Education
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, Physics, or a related field.
- Candidates with relevant practical experience in Quantum Computing and Machine Learning will be preferred.
Pay: ₹300,000.00 - ₹800,000.00 per year
Work Location: In person
