Job Description
Hiring Machine Learning/Data Science Engineers - Tata Elxsi, Bangalore
Skills: Data Analytics, Machine Learning Algorithms(linear and logistic regressions, KNNs. SVMs, Randon Forest, XGBoost etc.), ML frameworks, libraries, data structures, data modeling, software architecture, TensorFlow, KERAS, Matlab, Python, embedded C/C++, Scikit-learn, pyspark, pandas, numpy, scipy, Docker, Big Data Analytics, distributed systems (MapReduce, Spark, Hive, Kafka, Oozie, Airflow, Hadoop, HBase, Presto, Flume, Zookeeper, Impala, SQL, Java, Spring, Tomcat, Jenkins, REST APIs, JDBC, Hibernate, Power BI, Tableau, Kibana, Grafana.
Location: Bangalore
Rel Experience: 7 to 12 Years
Qualification: B.E./B.Tech./M.Tech in CS/Electronics
Roles and Responsibilities:
Tata Elxsi brings together a global and diverse team of strategic thinkers, consumer insights experts, award-winning designers, technologists, and digital experts, a network of Design Studios, Innovation Hubs, and Centers of Excellence for Digital technologies.
Discover opportunities to work with great teams to help global brands reimagine their products and services - from strategy, insights, and product and service design to technology integration and interaction design.
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 mathametics, probability, statistics and algorithms
- Experience of 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, Python; knowledge in embedded C/C++ is an advantage.
- Expertise in Scikit-learn, pyspark and pandas.
- Experience with numpy and scipy.
- Experience with Docker.
- Experience in designing solution architecture using AWS/GCP/Azure will be added advantage
- Experience with Mlflow/ Kubeflow/Apache Airflow will be added advantage
- Build, design and implement highly scalable, fault-tolerant, highly available big data platform to process terabytes of data and provide customers with in-depth analytics.
- Deep understanding of Big-Data and distributed systems (MapReduce, Spark, Hive, Kafka, Oozie, Airflow)
- Experience of developing Big Data pipelines using modern technology stack such as Spark, Hadoop, Kafka, HBase, Hive, Presto etc.
- Hands On experience with ETL tools like Kafka, ,Flume,Zookeeper,Oozie,Impala,
- Solid understanding of database systems, SQL, data preparation and cleaning.
- Building data pipeline to automate high-volume data collection and processing to provide real-time data analytics.
- Leveraging a broad range of data architecture strategies and proposing both data flows and storage solutions.
- Developing analytics application using modern technology stack such as Java, Spring, Tomcat, Jenkins, REST APIs, JDBC, Hibernate.
- Working experience with visualisation tools like Power BI, Tableau, Kibana, Grafana
- Knowledge on one of the platforms like Pentaho, Matillion, Talend, will be added advantage
- Certification on any of the cloud platforms like Amazon, Microsoft Azure will be added advantage
If interested, please share the below mentioned details with your updated resume to vc********r@ta******i.co.in / ch******m@ta******i.co.in
Total Exp:
Current CTC:
Expected CTC:
Notice Period:
Job Classification
Industry: IT Services & Consulting
Functional Area: Role Category: Data Science & Machine Learning
Role: Data Science & Machine Learning
Employement Type: Full time
Education
Under Graduation: B.Tech/B.E. in Any Specialization, Any Graduate
Post Graduation: M.Tech in Electronics/Telecommunication, Computers
Doctorate: Doctorate Not Required
Contact Details:
Company: Tata Elxsi Ltd
Location(s): Bengaluru
Keyskills:
Machine Learning
Data Science
Tensorflow
Embedded C++
Airflow
Embedded C
Kibana
Scipy
Power Bi
Kafka
Tableau
MATLAB
Scikit-Learn
Docker
Data Modeling
Oozie
Python
Pyspark
Java
Hadoop
Big Data
Flume
Spring
Numpy
SQL
Jenkins
Hive
Presto
Xgboost
Pandas
Keras
Spark
Data Analytics