Analysis of algorithms Jobs in Delhi, NCR and Gurgaon
2+ Analysis of algorithms Jobs in Delhi, NCR and Gurgaon | Analysis of algorithms Job openings in Delhi, NCR and Gurgaon
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Delhi
10 - 15 yrs
₹105L - ₹140L / yr
Data engineering
Apache Spark
Apache
Apache Kafka
Java +25 more
MANDATORY:
- Super Quality Data Architect, Data Engineering Manager / Director Profile
- Must have 12+ YOE in Data Engineering roles, with at least 2+ years in a Leadership role
- Must have 7+ YOE in hands-on Tech development with Java (Highly preferred) or Python, Node.JS, GoLang
- Must have strong experience in large data technologies, tools like HDFS, YARN, Map-Reduce, Hive, Kafka, Spark, Airflow, Presto etc.
- Strong expertise in HLD and LLD, to design scalable, maintainable data architectures.
- Must have managed a team of at least 5+ Data Engineers (Read Leadership role in CV)
- Product Companies (Prefers high-scale, data-heavy companies)
PREFERRED:
- Must be from Tier - 1 Colleges, preferred IIT
- Candidates must have spent a minimum 3 yrs in each company.
- Must have recent 4+ YOE with high-growth Product startups, and should have implemented Data Engineering systems from an early stage in the Company
ROLES & RESPONSIBILITIES:
- Lead and mentor a team of data engineers, ensuring high performance and career growth.
- Architect and optimize scalable data infrastructure, ensuring high availability and reliability.
- Drive the development and implementation of data governance frameworks and best practices.
- Work closely with cross-functional teams to define and execute a data roadmap.
- Optimize data processing workflows for performance and cost efficiency.
- Ensure data security, compliance, and quality across all data platforms.
- Foster a culture of innovation and technical excellence within the data team.
IDEAL CANDIDATE:
- 10+ years of experience in software/data engineering, with at least 3+ years in a leadership role.
- Expertise in backend development with programming languages such as Java, PHP, Python, Node.JS, GoLang, JavaScript, HTML, and CSS.
- Proficiency in SQL, Python, and Scala for data processing and analytics.
- Strong understanding of cloud platforms (AWS, GCP, or Azure) and their data services.
- Strong foundation and expertise in HLD and LLD, as well as design patterns, preferably using Spring Boot or Google Guice
- Experience in big data technologies such as Spark, Hadoop, Kafka, and distributed computing frameworks.
- Hands-on experience with data warehousing solutions such as Snowflake, Redshift, or BigQuery
- Deep knowledge of data governance, security, and compliance (GDPR, SOC2, etc.).
- Experience in NoSQL databases like Redis, Cassandra, MongoDB, and TiDB.
- Familiarity with automation and DevOps tools like Jenkins, Ansible, Docker, Kubernetes, Chef, Grafana, and ELK.
- Proven ability to drive technical strategy and align it with business objectives.
- Strong leadership, communication, and stakeholder management skills.
PREFERRED QUALIFICATIONS:
- Experience in machine learning infrastructure or MLOps is a plus.
- Exposure to real-time data processing and analytics.
- Interest in data structures, algorithm analysis and design, multicore programming, and scalable architecture.
- Prior experience in a SaaS or high-growth tech company.
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NCR (Delhi | Gurgaon | Noida)
4 - 7 yrs
₹20L - ₹25L / yr
Deep Learning
Machine Learning (ML)Algorithms
Analysis of algorithms
We are looking for passionate engineers and researchers that want to contribute in this exciting and fast moving field of Deep Learning and Research.
As the Lead Engineer - Deep Learning, you will be responsible for leading research, software implementation for new concept prototypes in the areas of computer vision and deep learning.
Our client is a highly awarded AI and Machine Learning lab, which is disrupting the multi billion dollar Agriculture and commodities business globally. They are recognized as a de-facto business for expert AI capability in solutions that satisfy real world challenges in near real time.
What you will do:
- Focusing on developing new concepts and user experiences through rapid prototyping and collaboration with the best-in-class research and development team.
- Reading research papers and implementing state-of-the-art techniques for computer vision
- Building and managing datasets.
- Providing Rapid experimentation, analysis, and deployment of machine/deep learning models
- Based on requirements set by the team, helping develop new and rapid prototypes
- Developing end to end products for problems related to agritech and other use cases
- Leading the deep learning team
- MS/ME/PhD in Computer Science, Computer Engineering equivalent Proficient in Python and C++, CUDA a plus
- International conference papers/Patents, Algorithm design, deep learning development, programming (Python, C/C++)
- Knowledge of multiple deep-learning frameworks, such as Caffe, TensorFlow, Theano, Torch/PyTorch
- Problem Solving: Deep learning development
- Vision, perception, control, planning algorithm development
- Track record of excellence in the machine learning / perception / control, including patents, publications to international conferences or journals.
- Communications: Good communication skills
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