diversity_1

Ericsson

Time Off:
<ul style="text-align: justify;">
<li>Earned Leaves: 30</li>
<li>Casual &amp; Sick Leaves: 14</li>
<li>Special leaves: 3 to 7 days on completing long service milestones.</li>
<li>Leave accumulation: Upto 45 days.</li>
</ul>
Parental Leave:
<ul>
<li style="text-align: justify;">Maternity leave &ndash; 26 weeks.</li>
<li style="text-align: justify;">Adoption leave &ndash; 12 weeks to 26 weeks for women employee (depending on age of child) &amp; 10 days for male employees).</li>
</ul>

Time off and Parental Benefits

Career Growth:
You get an opportunity to be the "CEO of your Career". You can share your aspirations widely and pursue opportunities that fit your aspirations.

Learning & Career

Employee Assistance Program_(EAP):
&lsquo;Expert Counselling&rsquo; facility for self &amp; immediate family to deal with complex personal &amp; professional situations.

Wellness & Health

Creche Allowance: Women employees having children up to the age of 3 years and availing cr&egrave;che facility, are entitled to a cr&egrave;che allowance of&nbsp;maximum of Rs. 9000/-&nbsp;per month per child.
Hybrid Support: Flexy working subjected to role and business requirement.

Other benefits

Welcome to an exciting opportunity at Ericsson, where you'll be stepping into the role of a Data Scientist. As part of our team, you'll have the opportunity to develop unique machine learning solutions that address complex business issues. If you’ve ever thought “GenAI can do way more in Telecom than chatbots” — this role is for you. We’re building production-grade GenAI systems, AI agents, and enterprise copilots for Telecom OSS/BSS platforms—automation, intelligence, and decisioning at scale. No demos. No fluff. Real systems, real impact.What you will do:<ul style="text-align: justify;"><li>MCP-based applications and tools integrated with enterprise systems</li><li>Building GenAI Agents</li><li>RAG pipelines over network, service, customer & operational data</li><li>Scalable Python services & APIs powering GenAI workloads</li><li>Optimized SLMs for cost-efficient, low-latency deployment</li><li>Training of SLM/LLM based on domain requirements.</li></ul>The skills you bring:<ul style="text-align: justify;"><li>Statistics, Machine Learning Fundamentals, Deep learning expertise.</li><li>Feature Engineering & Model Selection.</li><li>Strong Python with hands-on ML / NLP and GenAI Agent development E2E experience (production grade not experimentation.</li><li>Experience in Training of LLM/SLM models and changing the network Architecture.</li><li>Track record of delivering business value in real production grade GenAI Agent.</li><li>Solid experience with LLMs, embeddings, retrieval systems and agent orchestration frameworks.</li><li>Proven expertise building GenAI copilots, persona-based agents.</li><li>Hands-on experience developing applications using MCP.</li><li>Experience with production grade cloud-native ML deployments.</li><li>Hands on experience in either of AWS Bedrock or GCP Vertex AI.</li></ul>Good to have:<ul><li style="text-align: justify;">Strong academic background.</li><li style="text-align: justify;">Experience in having journals & patents(US/India).</li><li style="text-align: justify;">Telecom OSS/BSS domain ( business and data ) knowledge.</li><li style="text-align: justify;">Experience in reasoning , knowledge graph.</li><li style="text-align: justify;">Awareness of AI risk, observability, explainability & responsible AI.</li><li style="text-align: justify;">Bonus: experience with Databricks, Snowflake, DataRobot, or similar AI platforms.</li></ul>

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