hr intern

hr recruiter

data scientist

business analyst

data analyst

ai researcher

Xenonstack

<div><div><h3 class="jobSectionHeader"><b>Job Information</b></h3>
<ul><div><p>Date Opened</p>
<div>10/06/2025
</div></div><div><p>Job Type</p>
<div>Full time
</div></div><div><p>Industry</p>
<div>Technology
</div></div><div><p>Work Experience</p>
<div>1-3 years
</div></div><div><p>City</p>
<div>Mohali
</div></div><div><p>State/Province</p>
<div>Punjab
</div></div><div><p>Country</p>
<div>India
</div></div><div><p>Zip/Postal Code</p>
<div>160075
</div></div></ul></div><div><h3 class="jobSectionHeader"><b>Job Description</b></h3>
<div><h3 class="jobSectionHeader"><b>ABOUT XENONSTACK</b></h3><p><br>
XenonStack is the fastest-growing <b>Data and AI Foundry for Agentic Systems</b>, enabling enterprises to gain <b>real-time, intelligent business insights</b> and operational resilience.</p><p><br>
We innovate through:</p><ul><li><p><b><br>
Akira AI</b> &ndash; Building Agentic Systems for AI Agents</p></li><li><p><b><br>
XenonStack Vision AI</b> &ndash; Vision AI Platform</p></li><li><p><b><br>
NexaStack AI</b> &ndash; Inference AI Infrastructure for Agentic Systems</p></li></ul><p><br>
Our mission is to accelerate the world&rsquo;s transition to <b>AI + Human Intelligence</b> by building intelligent, trustworthy, and adaptive AI systems for enterprises.</p><p></p><h3 class="jobSectionHeader"><b><br>
THE OPPORTUNITY</b></h3><p><br>
We are seeking a passionate <b>AI Researcher</b> with a strong foundation in <b>machine learning, reinforcement learning, and large language models (LLMs)</b> to advance our research in <b>Agentic AI systems</b>.</p><p><br>
In this role, you will work closely with product and engineering teams to explore <b>next-generation architectures, reasoning models, multimodal intelligence, and reinforcement-based optimization</b> &mdash; helping shape how enterprises deploy and trust AI agents in production.</p><p><br>
If you thrive at the intersection of <b>theory, experimentation, and scalable systems</b>, and are driven to solve foundational problems in AI, this is the role for you.</p><p></p><h3 class="jobSectionHeader"><b><br>
KEY RESPONSIBILITIES</b></h3><p><b><br>
Core Research</b></p><ul><li><p><br>
Conduct applied research on <b>large language models, reasoning systems, and multi-agent architectures</b>.</p></li><li><p><br>
Explore and prototype <b>reinforcement learning, retrieval-augmented generation (RAG), and hierarchical memory</b> systems for enterprise contexts.</p></li><li><p><br>
Design, run, and evaluate experiments to improve <b>context management, generalization, and reasoning accuracy</b>.</p></li><li><p><br>
Contribute to internal research publications, model evaluation reports, and open-source initiatives.</p></li></ul><p><b><br>
Applied Development</b></p><ul><li><p><br>
Collaborate with engineering teams to translate research into deployable prototypes.</p></li><li><p><br>
Build and evaluate <b>agentic frameworks and orchestration strategies</b> using LangChain, LangGraph, or equivalent.</p></li><li><p><br>
Develop and test <b>AI safety and interpretability techniques</b> to ensure ethical and reliable model behavior.</p></li><li><p><br>
Work on integrating research advancements into <b>real-world AI applications and products</b>.</p></li></ul><p><b><br>
Collaboration &amp; Impact</b></p><ul><li><p><br>
Work cross-functionally with <b>ML engineers, data scientists, and AI product teams</b>.</p></li><li><p><br>
Present findings in internal research forums and contribute to thought leadership.</p></li><li><p><br>
Stay current with emerging research in <b>LLMs, RLHF, multimodal AI, and agentic reasoning</b>.</p></li></ul><p></p><h3 class="jobSectionHeader"><b><br>
SKILLS &amp; QUALIFICATIONS</b></h3><p><b><br>
Must-Have</b></p><ul><li><p><br>
Master&rsquo;s or Ph.D. in <b>Computer Science, Artificial Intelligence, Machine Learning, or related field</b>.</p></li><li><p><b><br>
3&ndash;6 years of research experience</b> in AI, ML, or NLP domains.</p></li><li><p><br>
Strong expertise in <b>deep learning frameworks</b> (PyTorch, TensorFlow, JAX).</p></li><li><p><br>
Experience with <b>LLMs, Transformers, RAG pipelines, and reinforcement learning (RLHF, RLAIF)</b>.</p></li><li><p><br>
Proficiency in <b>Python</b> and ML research tooling (Weights &amp; Biases, Hugging Face, LangChain).</p></li><li><p><br>
Ability to design, conduct, and analyze experiments with rigor.</p></li></ul><p><b><br>
Good-to-Have</b></p><ul><li><p><br>
Research experience in <b>multi-agent systems, symbolic reasoning, or causal inference</b>.</p></li><li><p><br>
Understanding of <b>evaluation metrics for LLMs</b> and AI safety principles.</p></li><li><p><br>
Contributions to <b>AI research papers, open-source projects, or conferences</b> (NeurIPS, ICLR, ICML, ACL).</p></li><li><p><br>
Familiarity with <b>distributed training and optimization at scale</b>.</p></li></ul><p></p><h3 class="jobSectionHeader"><b><br>
WHY SHOULD YOU JOIN US?</b></h3><ul><li><p><b><br>
Work Closely with Leadership</b> &ndash; Collaborate with the CTO and Chief Scientist on next-generation AI architecture design.</p></li><li><p><b><br>
High-Impact Research</b> &ndash; Your work will directly influence how enterprises adopt, trust, and scale AI agents.</p></li><li><p><b><br>
Career Growth</b> &ndash; Progress into roles such as <b>Principal AI Scientist, Research Lead, or AI Architect</b>.</p></li><li><p><b><br>
Global Exposure</b> &ndash; Partner with <b>Fortune 500 clients, research collaborators, and AI ecosystems worldwide</b>.</p></li><li><p><b><br>
Culture of Excellence</b> &ndash; Our values &mdash; <b>Agency, Taste, Ownership, Mastery, Impatience, and Customer Obsession</b> &mdash; empower you to lead with innovation and rigor.</p></li><li><p><b><br>
Responsible AI First</b> &ndash; Contribute to building <b>ethical, explainable, and robust AI systems</b> at scale.</p></li></ul><p></p><h3 class="jobSectionHeader"><b><br>
XENONSTACK CULTURE &ndash; JOIN US &amp; MAKE AN IMPACT!</b></h3><p><br>
At XenonStack, we believe in <b>shaping the future of intelligent systems</b>. We foster a <b>culture of cultivation</b> built on bold, human-centric leadership principles, where <b>deep work, simplicity, and adoption</b> define everything we do.</p><p><b><br>
Our Cultural Values</b></p><ul><li><p><b><br>
Agency</b> &ndash; Be self-directed and proactive.</p></li><li><p><b><br>
Taste</b> &ndash; Sweat the details and build with precision.</p></li><li><p><b><br>
Ownership</b> &ndash; Take responsibility for outcomes.</p></li><li><p><b><br>
Mastery</b> &ndash; Commit to continuous learning and growth.</p></li><li><p><b><br>
Impatience</b> &ndash; Move fast and embrace progress.</p></li><li><p><b><br>
Customer Obsession</b> &ndash; Always put the customer first.</p></li></ul><p><b><br>
Our Product Philosophy</b></p><ul><li><p><b><br>
Obsessed with Adoption</b> &ndash; Making AI agents enterprise-ready and accessible.</p></li><li><p><b><br>
Obsessed with Simplicity</b> &ndash; Turning complex AI research into intuitive, reliable systems.</p></li></ul><p><br>
Be part of our mission to <b>accelerate the world&rsquo;s transition to AI + Human Intelligence</b> &mdash; by building the foundation for responsible, autonomous, and adaptive Agentic AI.</p></div></div></div><p></p>

AI Researcher

Cotiviti

<div>Overview:
<div>
We are seeking an Advanced AI researcher directing the development of predictive models and decision systems for Claims Operations, focusing on data driven insights and workflow optimization.</div>
Responsibilities:
<ul><li>Lead the design of advanced predictive models for Claims Operations.</li><li>
Oversee feature engineering and model development.</li><li>
Design analytical frameworks for data driven decision making.</li><li>
Establish evaluation frameworks for model performance and accuracy.</li><li>
Lead knowledge transfer and mentorship for AI/ML techniques.</li><li>
Drive innovation in analytics approaches and methodologies.</li></ul>
Qualifications:
<ul><li>7+ years in ML/AI with focus on advanced analytics and predictive modeling.</li><li>
Experience building and deploying production AI/ML models.</li><li>
Expertise in data mining and pattern recognition techniques.</li><li>
Strong background in model evaluation and performance metrics.</li><li>
Experience with healthcare analytics and claims processing workflows.</li><li>
Knowledge of statistical analysis and hypothesis testing methodologies.</li></ul></div>

Lead Data Scientist

Digics Pvt Ltd

<p>We expect that the candidate Should be a researcher and should be aware of basic AI tools<br/>1. Candidate should know the basics of Google and Meta Ads<br/>2. The candidate should have an understanding of Google Analytics<br/>3. The candidate should be well-versed with the Tag Manager</p><p>Job Types: Full-time, Internship</p><p>Pay: &#8377;10,000.00 - &#8377;15,000.00 per month</p><p>Work Location: In person</p>

Digital Marketing Intern

Accenture

<p><b>Project Role : </b>AI / ML Engineer<br>
<b>Project Role Description : </b>Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
<br>
<b>Must have skills : </b>Computer Vision<br>
<b>Good to have skills : </b>NA<br>
Minimum <b>15</b> year(s) of experience is required<br>
<b>Educational Qualification : </b>PhD in Computer Science Mechanical Engineering Robotics Industrial Engineering Electrical Engineering or related discipline<br>
<br>
Summary: We are seeking an innovative and highly skilled PhD-level Scientist / Researcher to join our Advanced Technology &amp; Architecture team, driving strategic initiatives in Industrial Digital Transformation. This role is ideal for a candidate with a strong research background and hands-on experience in solving real-world problems in Process and/or Discrete Manufacturing domains. - The ideal candidate will lead cutting-edge research, development, and solution design in areas such as: ?- Industrial Digital Twins ?- Physics-based and AI-driven Simulation ?- Robotics and Autonomous Systems ?- Industrial AI and Machine Learning - This role will involve close collaboration with industry leaders, ecosystem partners, and internal delivery teams to co-create next-generation solutions that transform manufacturing, industrial operations, and autonomous systems. Roles &amp; Responsibilities: - Lead advanced research and development in Industrial Digital Twins, Simulation, Robotics, and Industrial AI with a focus on solving complex industrial challenges. - Design, prototype, and implement innovative digital twin models and simulation frameworks that enable predictive insights and autonomous decision-making in manufacturing and industrial environments. - Collaborate with cross-functional teams, including Architects, Data Scientists, Software Engineers, and Industry Experts, to design scalable solutions aligned with industry use cases. - Work closely with ecosystem partners (e.g., NVIDIA, Siemens, Microsoft, AWS) and academic institutions to integrate cutting-edge technologies into industrial solutions. - Drive thought leadership by publishing research papers, presenting at industry conferences, and contributing to patents and intellectual property. - Provide technical leadership and mentorship to other scientists, engineers, and solution architects in the team. - Lead PoCs, prototypes, and pilot projects to demonstrate feasibility and business value of industrial AI and digital twin solutions. - Establish best practices, frameworks, and guidelines for development, deployment, and scaling of Industrial Digital Twin and Simulation solutions. - Define and oversee technical roadmap, research priorities, and innovation strategy in line with industry trends. - Strong aptitude for publishing high-impact research papers and presenting findings at international conferences. - Contribution to intellectual property strategy through patents and whitepapers. Professional &amp; Technical Skills: - Deep expertise in Digital Twin technologies, Industrial Simulation, Robotics, and Industrial AI applications. - In-depth understanding of Manufacturing Industry Challenges. - Process Industry: Batch processing, continuous process control, quality monitoring, regulatory compliance (e.g., pharma, chemicals, food &amp; beverage). - Discrete Industry: Factory automation, production line optimization, product lifecycle management, asset monitoring, robotics integration (e.g., automotive, electronics, industrial equipment). - Experience working with Industrial Control Systems (ICS), SCADA systems, MES (Manufacturing Execution Systems), and PLM (Product Lifecycle Management) solutions. - Strong background in mathematical modelling, physics-based simulation, control systems, and machine learning applied to industrial use cases. - Proficient in programming languages such as Python, C++, MATLAB, R, and frameworks like TensorFlow, PyTorch, or equivalent. - Experience in IoT platforms, Industrial Edge Computing, OPC-UA, MQTT, and real-time data integration. - Proven experience applying AI/ML techniques (supervised, unsupervised, reinforcement learning) to industrial use cases, including predictive maintenance, anomaly detection, process optimization, and intelligent automation. - Solid understanding of any cloud platforms: Azure, AWS, or Google Cloud, specifically services related to Industrial AI and Digital Twins. - Good to have experience with NVIDIA Omniverse, Siemens MindSphere, or equivalent Industrial Digital Twin platforms. - Familiarity with industry regulations and standards (e.g., ISA-95, IEC 61508, ISO 55000) and best practices in industrial environments. - Strong analytical and problem-solving skills with ability to translate research into scalable solutions. - Excellent collaboration, communication, and stakeholder management skills. - Active contribution to industry forums, working groups, and think tanks related to Industrial AI and Digital Transformation. - Ability to think strategically about industry trends, disruptive technologies, and future research opportunities. Additional Information: - A 15 years full time education is required.</p>
<br>
PhD in Computer Science Mechanical Engineering Robotics Industrial Engineering Electrical Engineering or related discipline

AI / ML Engineer

ClanX

<div><p>Drive frontier research in speech-to-speech and multimodal AI systems to build natural, self-learning, voice-capable AI Workers.</p><p><b>
Company details</b><br>
GoCommotion is a fast-growing startup revolutionizing Customer Experience (CX) with AI Workers &mdash; persistent, multimodal agents capable of real-time, contextual conversations across channels. We blend LLMs, voice modeling, and agentic reinforcement to build truly autonomous AI systems.<br>
Website: https://www.gocommotion.com/</p><div><b>
Requirements</b><br>
<ul><li>3+ years of applied or academic experience in speech, multimodal, or LLM research</li><li>Bachelor&rsquo;s or Master&rsquo;s in Computer Science, AI, or Electrical Engineering</li><li>Strong in Python and scientific computing, including JupyterHub environments</li><li>Deep understanding of LLMs, transformer architectures, and multimodal embeddings</li><li>Experience in speech modeling pipelines: ASR, TTS, speech-to-speech, or audio-language models</li><li>Knowledge of turn-taking systems, VAD, prosody modeling, and real-time voice synthesis</li><li>Familiarity with self-supervised learning, contrastive learning, and agentic reinforcement (ART)</li><li>Skilled in dataset curation, experimental design, and model evaluation</li><li>Comfortable with tools like Agno, Pipecat, HuggingFace, and PyTorch</li><li>Exposure to LangChain, vector databases, and memory systems for agentic research</li><li>Strong written communication and clarity in presenting research insights</li><li>High research curiosity, independent ownership, and mission-driven mindset</li></ul></div><ul><li>Currently employed at a product-based organisation</li></ul><div><b>
Responsibilities</b><br>
<ul><li>Research and develop direct speech-to-speech modeling using LLMs and audio encoders/decoders</li><li>Model and evaluate conversational turn-taking, latency, and VAD for real-time AI</li><li>Explore Agentic Reinforcement Training (ART) and self-learning mechanisms</li><li>Design memory-augmented multimodal architectures for context-aware interactions</li><li>Create expressive speech generation systems with emotion conditioning and speaker preservation</li><li>Contribute to SOTA research in multimodal learning, audio-language alignment, and agentic reasoning</li><li>Define long-term AI research roadmap with the Research Director</li><li>Collaborate with MLEs on model training and evaluation, while leading dataset and experimentation design</li></ul></div><p><b>
Job Details</b><br>
Location: Hybrid &mdash; Mumbai, Bengaluru, Chennai, India</p><div><b>
Interview process</b><br>
<ul><li>Screening / HR round</li><li>Technical round(s) &mdash; coding, system design, ML case studies</li><li>ML / research deep dive</li><li>Final / leadership round</li></ul></div><p><b>
Important Note</b><br>
ClanX is a recruitment partner, helping GoCommotion hire the Senior Machine Learning Engineer.</p></div>

Senior Data Scientist - Hybrid

Microsoft

<div>
 The MCAPS AI Transformation (AIT) organization is at the forefront of Microsoft&rsquo;s mission to accelerate AI-driven business value for customers and partners. As a Data Scientist in MCAPS AIT, you will join a dynamic team dedicated to building innovative AI and ML solutions that enrich employee experiences, reinvent customer engagement, and reshape business processes. You will be responsible for designing, developing, and maintaining AI/ML solutions and data products to support our business goals. You will work in a collaborative, growth-mindset environment, leveraging Microsoft&rsquo;s cutting-edge AI stack&mdash;including Copilot, LLMs, and cloud-native technologies&mdash;to deliver scalable, secure, and high-impact products. The ideal candidate will have a strong background in data science, be detail-oriented, and possess excellent problem-solving skills. Our data scientists are empowered to experiment, learn, and drive measurable impact across Microsoft&rsquo;s global commercial ecosystem.
 <br/>
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  Responsibilities
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  <li>
   Design, develop, and deploy robust AI/ML models that support business objectives.
  </li>
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   Conduct exploratory data analysis and communicate findings to stakeholders.
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  <li>
   Collaborate with cross-functional teams&mdash;including product managers, data scientists, data engineers and UX designers&mdash;to deliver end-to-end features from concept to production.
  </li>
  <li>
   Participate in code reviews, architecture discussions, and contribute to data science and engineering best practices.
  </li>
  <li>
   Assist in building and maintaining models and data science pipelines for MCAPS business units.
  </li>
  <li>
   Write well-documented, high-quality, and maintainable code.
  </li>
  <li>
   Ensure solutions adhere to Microsoft&rsquo;s Responsible AI principles, compliance, and security standards.
  </li>
  <li>
   Contribute to a culture of inclusion, innovation, and technical excellence within the AIT organization.
   <br/>
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  </li>
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  Qualifications
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 <strong>
  Basic Qualifications
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  <li>
   Master&rsquo;s degree in Computer Science, Engineering, or a related technical field wih a miniumum 3 years' experience and at least 2 years' in Data Science.
  </li>
  <li>
   Strong programming skills in Python, SQL, PySpark and proficiency in data science libraries (e.g., scikit-learn, pandas, NumPy).
  </li>
  <li>
   Mastery of machine learning fundamentals and statistical modelling.
  </li>
  <li>
   Knowledge of LLMs and Azure AI stack / services including Azure AI Foundry and Copilot Studio.
  </li>
  <li>
   Strong problem-solving skills and a passion for learning new technologies.
  </li>
  <li>
   Demonstrated ability to leverage AI tools (e.g., GitHub Copilot, Azure AI Foundry) for code generation, automation, and productivity enhancement.
  </li>
  <li>
   Ability to work collaboratively in a team environment and communicate technical concepts clearly.
  </li>
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   Demonstrated ability to drive innovation and deliver results in a fast-paced environment.
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  Preferred Qualifications
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   Proficiency in multiple programming languages and development frameworks.
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   Familiarity with DevOps practices, CI/CD pipelines, and Infrastructure as Code.
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   Familiarity with version control systems (e.g., Git).
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   Experience with Generative AI and familiarity with Microsoft&rsquo;s AI ecosystem and tools such as Copilot Studio.
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   Knowledge of security, compliance, and Responsible AI principles in software development.
  </li>
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   Experience with Azure cloud platform and building distributed systems or web services.
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  </li>
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 #AITjobs
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 <br/>
 Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
</div>


Data Scientist

CLOUDSUFI

<div><div><b>About Us:</b></div><div></div><div><br>
CLOUDSUFI, a Google Cloud Premier Partner, is a global leading provider of data-driven digital transformation across cloud-based enterprises. With a global presence and focus on Software &amp; Platforms, Life sciences and Healthcare, Retail, CPG, financial services and supply chain,CLOUDSUFI is positioned to meet customers where they are in their data monetization journey.</div><div></div><div><b><br>
Our Values</b></div><div></div><div><br>
We are a passionate and empathetic team that prioritizes human values. Our purpose is to elevate the quality of lives for our family, customers, partners and the community.</div><div></div><div><b><br>
Equal Opportunity Statement</b></div><div></div><div><br>
CLOUDSUFI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified candidates receive consideration for employment without regard to race, color, religion, gender, gender identity orexpression, sexual orientation and national origin status. We provide equal opportunities inemployment, advancement, and all other areas of our workplace. Please explore more at https://www.cloudsufi.com/</div><div></div><div><b><br>
Role Overview</b></div><div></div><div><br>
As a Senior Data Scientist / AI Engineer, you will be a key player in our technical leadership. You will be responsible for designing, developing, and deploying sophisticated AI and Machine Learning solutions, with a strong emphasis on Generative AI and Large Language Models (LLMs). You will architect and manage scalable AI microservices, drive research into state-of-the-art techniques, and translate complex business requirements into tangible, high-impact products. This role requires a blend of deep technical expertise, strategic thinking, and leadership.</div><div></div><div><b><br>
Key Responsibilities:</b></div><div></div><ul><li><b><br>
Architect &amp; Develop AI Solutions:</b> Design, build, and deploy robust and scalable machine learning models, with a primary focus on Natural Language Processing (NLP), Generative AI, and LLM-based Agents.</li><li><b>
Build AI Infrastructure:</b> Create and manage AI-driven microservices using frameworks like Python FastAPI, ensuring high performance and reliability.</li><li><b>
Lead AI Research &amp; Innovation:</b> Stay abreast of the latest advancements in AI/ML. Lead research initiatives to evaluate and implement state-of-the-art models and techniques for performance and cost optimization.</li><li><b>
Solve Business Problems:</b> Collaborate with product and business teams to understand challenges and develop data-driven solutions that create significant business value, such as building business rule engines or predictive classification systems.</li><li><b>
End-to-End Project Ownership:</b> Take ownership of the entire lifecycle of AI projects&mdash;from ideation, data processing, and model development to deployment, monitoring, and iteration on cloud platforms.</li><li><b>
Team Leadership &amp; Mentorship:</b> Lead learning initiatives within the engineering team, mentor junior data scientists and engineers, and establish best practices for AI development.</li><li><b>
Cross-Functional Collaboration:</b> Work closely with software engineers to integrate AI models into production systems and contribute to the overall system architecture.</li></ul><div></div><div><b><br>
Required Skills and Qualifications:</b></div><br>
<div></div><ul><li>
Master&rsquo;s (M.Tech.) or Bachelor's (B.Tech.) degree in Computer Science, Artificial Intelligence, Information Technology, or a related field.</li><li>
6+ years of professional experience in a Data Scientist, AI Engineer, or related role.</li><li>
Expert-level proficiency in <b>Python</b> and its core data science libraries (e.g., PyTorch, Huggingface Transformers, Pandas, Scikit-learn).</li><li>
Demonstrable, hands-on experience building and fine-tuning <b>Large Language Models (LLMs)</b> and implementing <b>Generative AI</b> solutions.</li><li>
Proven experience in developing and deploying scalable systems on cloud platforms, particularly <b>AWS</b>. Experience with <b>GCS</b> is a plus.</li><li>
Strong background in <b>Natural Language Processing (NLP)</b>, including experience with multilingual models and transcription.</li><li>
Experience with containerization technologies, specifically <b>Docker</b>.</li><li>
Solid understanding of software engineering principles and experience building APIs and microservices.</li></ul><div></div><div><b><br>
Preferred Qualifications:</b></div><br>
<div></div><ul><li>
A strong portfolio of projects. A track record of publications in reputable AI/ML conferences is a plus.</li><li>
Experience with full-stack development (Node.js, Next.js) and various database technologies (SQL, MongoDB, Elasticsearch).</li><li>
Familiarity with setting up and managing CI/CD pipelines (e.g., Jenkins).</li><li>
Proven ability to lead technical teams and mentor other engineers.</li><li>
Experience developing custom tools or packages for data science workflows.</li></ul></div><div></div>

Senior Engineer-AI

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