2+ Lisp Jobs in India

Day in the life...

As a machine learning engineer at Neysa, you would be required to

- Collaborate with network engineers and IT teams to identify network-related challenges and areas where ML can provide solutions. Understand the specific network remediation problems that need to be addressed.

- Develop ML-based models and algorithms specific to issues that affect computer networks, for example, congestion, security threats and human errors.

- Be comfortable handling multiple types and data sources and then pre-process and clean them for modelling purposes. 

- Develop machine learning models that analyse networking data to predict (and possibly prevent) issues, detect anomalies or optimise performance. Choose the right approach for each, such as deep learning, reinforcement learning, or traditional statistical methods. 

- Train and evaluate the efficacy of your models, create performance metrics to assess robustness and effectiveness, and use feedback loops to make course corrections.

- Design solutions that can scale to handle large network environments efficiently. This typically means optimising execution latency and resource usage.  

- Integrate your model to work with running and maintaining a network. These could be with other machines, human operators, or both. 

- Document your design, architecture and your thought process. Work with the technical writers to make sure your message gets through.

- Stay updated with all that is changing in AI and ML.

Must have skills

- You should have expertise in machine learning algorithms, data processing, and model development. It would be best to have proficiency in associated frameworks such as TensorFlow, PyTorch or scikit-learn.

- You should understand how computer networks work, how they are used, how they fail, and what happens if they fail.

- You should be proficient in programming languages like Python, R, Go, LISP, etc. It would help if you also were very useful with old-school shell scripting. 

- Experience with data processing tools like Hadoop, Spark or Kafka. 

- An above-average understanding of Linux and operating systems in general.

What separates the best from the rest

ML and AI are continuously evolving, and so is understanding how these technologies can be applied to solve real-world problems. To do your best, you may also need to

- Conceptualise ways to map new problems to existing methodologies or create new ones.

- Be prepared to iterate, reiterate and then iterate your approach.

- Be able to interact with subject matter experts in multiple fields to identify potential use cases for machine learning.

What you can expect

An environment where you can do your best work...

- The best equipment that complements your talents

- The best tools in the business for you to bring your creations to life

- A great environment

- Flexible work hours and flexible work locations

- The opportunity to make your mark and shape the future

- And have fun...

• Bachelor’s/Master’s degree in Computer Engineering with 5+ experience writing high quality, efficient and maintainable code. Proficiency with Elixir or Erlang. Alternatively experience with at least two of Ruby on Rails, NodeJS, Python,Lisp/Clojure, Scala, Haskel or similar
• Proficiency with Typescript or Javascript using ReactJS, VueJS or similar.
• Good knowledge of SQL databases (PostgresSQL, MSSQL, Oracle or similar)
• Good knowledge of revision control system like GIT, SVN, TFS or similar
• Experience with NoSQL databases like InfluxDB, Prometheus, Elastic Stack, SOLR or similar is a plus.
• In depth knowledge of Linux would be a plus
• Exposure to schematic and layout design and understanding would be a plus.
• Experience working with the energy metering segment is a plus.

• The selected candidate will be handling software development activities in Elixir and Typescript
• Technical development activities as per client requirements and internal operational processes.
• Coordinate with multi geographical teams for technical development.
• Close coordination with Technical Support team to visit customers and understand requirements.
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• Maintaining/writing high quality code, tests and documentation