Engineering

Hyderabad, India

- No Remote

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We are looking for a highly skilled Senior ML Engineer with expertise in Machine Learning platforms to develop, optimize, and scale cutting-edge solutions that enable seamless deployment, customization, and optimization of ML, Deep Learning (DL), and Large Language Models (LLMs). The ideal candidate will drive the design and development of backend services, manage cloud-based ML workflows, and integrate emerging technologies to elevate system performance.

Splunk is an Equal Opportunity Employer: At Splunk, we believe creating a culture of belonging isn’t just the right thing to do; it’s also the smart thing. We prioritize diversity, equity, inclusion, and belonging to ensure our employees are supported to bring their best, most authentic selves to work where they can thrive. Qualified applicants receive consideration for employment without regard to race, religion, color, national origin, ancestry, sex, gender, gender identity, gender expression, sexual orientation, marital status, age, physical or mental disability or medical condition, genetic information, veteran status, or any other consideration made unlawful by federal, state, or local laws. We consider qualified applicants with criminal histories, consistent with legal requirements.

Responsibilities

Develop Core AI Engineering Capabilities Design and implement AI/ML models and orchestration that drive critical use cases across Splunk’s product offerings.
Build Production-Ready AI Agents Design, implement, and fine-tune conversational AI solutions, including chatbots and virtual assistants, using natural language processing (NLP), dialogue management systems, and large language models (LLMs).
Research and Innovation Stay at the forefront of AI/ML developments, incorporating pioneering research into practical, applied solutions. Investigate and integrate new methodologies, such as advancements in Gen AI and LLMs, into our product ecosystem.
Collaborate Across Teams Partner with diverse teams including product managers, data scientists, and software engineers to align AI/ML engineering efforts with business goals.

Requirements

Ensure a clear, iterative approach to building AI-powered product features with 5+ years of total professional experience, including a minimum of 3 years in the machine learning domain.
In-depth AI/ML Expertise Extensive experience and expertise in machine learning, deep learning, and statistical modeling, with a focus on large-scale deployment.Hands-on Engineering Experience Proven track record of building and deploying production-grade AI/ML systems.Generative AI and LLM Exp
Expertise Significant experience working with generative AI models, large language models (LLMs), and integrating them into enterprise-level applications.Conversational AI Expertise Proven experience in building and deploying conversational AI systems, including NLP, intent recognition, and dialogue management.
Expertise in designing RAG pipelines and implementing guardrails to ensure robust, secure, and ethical chatbot interactions.
Coding and Algorithm Development Proficiency in modern programming languages such as Python.
Strong skills and experience with ML-specific tools like TensorFlow, PyTorch, Scikit-learn, etc.

Note:

Splunk provides flexibility and choice in the working arrangement for most roles, including remote and/or in-office roles. We have a market-based pay structure which varies by location. Please note that the base pay range is a guideline and for candidates who receive an offer, the base pay will vary based on factors such as work location as set out above, as well as the knowledge, skills and experience of the candidate. In addition to base pay, this role is eligible for incentive compensation and may be eligible for equity or long-term cash awards.

Benefits are an important part of Splunk's Total Rewards package. This role is eligible for a comprehensive, competitive benefits package which may include healthcare and retirement plans, paid time off, wellbeing expense reimbursement, and much more! Learn more about our comprehensive benefits and wellbeing offering at https://splunkbenefits.com.

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Splunk's Hiring Practices

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^{We value diversity, equity, and inclusion at Splunk and are committed to equal employment opportunity. Qualified applicants receive consideration for employment without regard to race, religion, color, national origin, ancestry, sex, gender, gender identity, gender expression, sexual orientation, marital status, age, physical or mental disability or medical condition, genetic information, veteran status, or any other consideration made unlawful by federal, state or local laws. We consider qualified applicants with criminal histories, consistent with legal requirements. Click here to review the US Department of Labor’s EEO is The Law notice. Please click here to review Splunk’s Affirmative Action Policy Statement. If you need assistance or an accommodation to apply or during the hiring process, please let us know by completing our Accommodation Request form.}

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Splunk does not discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Please click here to review Splunk’s Pay Transparency Nondiscrimination Provision.

Splunk is committed to the health and safety of our employees and customers. Splunk is impacted by the mandates outlined for U.S. Government contractors in President Biden’s Path out of the Pandemic: COVID-19 Action Plan. As a result, Splunk requires U.S. employees, whether assigned to an office or 100% remote, to provide proof of full vaccination, as defined by the CDC. Splunk provides reasonable accommodations for employees who have qualifying medical or religious reasons.

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