Data Analytics / Machine Learning Engineers

Key Skills

Aartificial intelligence, Algorithms, AWS, Azure, Bash scripting, C Programming, C++, CNNs, Computer Vision (CV), CUDA kernels, Data science techniques, Deep Learning, GANs, Google Cloud Platform (GCP), GPUs, Keras software library, Linux Operating system, Machine learning techniques, MATLAB Programming, matplotlib, Natural Language Processing (NLP), NumPy, PySpark, Python Programming, PyTorch, Random forests, Scikit-learn, SciPy, TensorFlow, XGBoost

Job Description

Tata Elxsi, the forefront of the latest advancements in AI technology, where the team of passionate individuals are dedicated to making a real-world impact through innovative implementation. Here, you will find a group of like-minded individuals who are continuously exploring new AI techniques and technologies to improve the accuracy, efficiency, and scalability of our models. What sets us apart is our collaborative approach, allowing for free experimentation and quick iterations to arrive at the best solutions. We are in search of someone who shares the same passion and drive as us, and is excited about the opportunity to make a meaningful difference in the field of AI. Join us in our pursuit of advancing AI to the next level and make the future of 'AM PM AI' a reality.

We are looking for bright and passionate Machine Learning Engineers with experience in:

• Strong fundamentals in Statistical Analysis and Machine Learning algorithms for regression, classification, clustering, anomaly detection and NLP using conventional methods
• Understanding of various ML frameworks, libraries, data structures, data modeling and software architecture
• Deep knowledge of mathematics, probability, statistics and algorithms
• Experience in exploring and visualizing data to gain an understanding and identifying differences in data distribution that could affect performance when deploying the model in the real world
• Exposure to traditional Machine Learning algorithms (linear and logistic regressions, KNNs. SVMs, Randon Forest, XGBoost etc.)
• Profound and proven knowledge in tools and programming languages like TensorFlow, KERAS, Matlab, and Python; knowledge in embedded C/C++ is an advantage
• Expertise in Scikit-learn, PySpark and pandas
• Experience with NumPy and Scipy, Docker
• Experience in designing solution architecture using AWS/GCP/Azure will be added advantage
• Experience with Mlflow/ Kubeflow/Apache Airflow will be an added advantage.

Job Location:- Bangalore

Qualification - B.E, B.Tech, MCA, M.E, M.Tech/M.Sc( Elec)