senior software engineer Jobs in Islamabad

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sr. automation test & integration engineer

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senior ai engineer

Telenor

<div><p><b>Position</b> <b>Title: Senior AI Engineer</b></p><p><b>
Reporting to: Director Automation Hub</b></p><p><b>
Job Group: 2/3</b></p><p><b>
Location: Islamabad</b></p><p><b>
Division: Telenor Shared Services Pakistan</b></p><p><b>
Department: Automation Hub</b></p><p><b>
Unit: Finance &amp; Procurement Tribe</b></p><p><b>
About Telenor Shared Services Pakistan</b></p><p>
Telenor Shared Services Pakistan delivers transactional business services in the areas of Finance &amp; Accounting and IT. Together with Telenor Shared Services Norway it delivers efficient business support to Telenor employees to make their work easier.</p><p><b>
Position Related</b></p><p>
We are seeking a Senior AI Engineer with strong expertise in designing, building, and deploying secure and scalable AI solutions within enterprise environments. This role requires a unique blend of technical depth, business understanding, and the ability to translate complex AI concepts into practical, value-driven outcomes.</p><p>
The ideal candidate will have a strong background in AI engineering, experience with LLMs and RAG architecture, AI Ops and the ability to collaborate across teams to deliver high-impact AI solutions.</p><p><b>
Goals</b></p><p><b>
Key Responsibilities</b></p><ul><li><p>
Design and deploy enterprise-scale LLM and AI solutions for NLP/ML, conversational AI, automation and agentic workflows.</p></li><li><p>
Build and optimize RAG pipelines using enterprise data sources with security and compliance as core principles.</p></li><li><p>
Develop and manage distributed training, fine-tuning, and inference systems optimized for large-scale workloads on cloud environments.</p></li><li><p>
Integrate AI models into enterprise workflows, APIs, microservices, and cloud platforms.</p></li><li><p>
Implement AIOps best practices for continuous integration, deployment, monitoring, governance, and lifecycle management of AI models.</p></li><li><p>
Ensure responsible AI usage, including explainability, bias mitigation, security, and auditability.</p></li></ul><ul><li><p>
Work closely with cross functional/technical teams to align AI solutions with business priorities,</p></li><li><p>
Translate functional requirements and communicate complex AI concepts clearly to technical and non-technical stakeholders.</p></li></ul><p><b>
Note: Above goals and job descriptions are indicative and subject to change</b></p><p><b>
Experience &amp; Qualification</b></p><ul><li><p>
Bachelor&rsquo;s or master&rsquo;s in computer science, Software Engineering, AI/ML, Data Science, or a related field.</p></li><li><p>
7+ years of experience in AI/ML engineering or software engineering.</p></li><li><p>
At least 2&ndash;3 years of experience with LLM-based AI solutions in enterprise environments.</p></li><li><p>
Demonstrated ability to manage end-to-end delivery, including requirement gathering, solution design, implementation, and stakeholder communication.</p></li></ul><p><b>
Required Technical Skills</b></p><ul><li><p>
Strong proficiency in Python, clean architecture, and production-grade API development.</p></li><li><p>
Deep experience with LLM frameworks and tooling such as LangChain, LangGraph, LlamaIndex, or similar orchestration and agent frameworks.</p></li><li><p>
Experience with RAG systems, vector databases, and similarity search technologies.</p></li><li><p>
Expertise in model optimization: parameter-efficient tuning, quantization, mixed-precision, distributed parallelism.</p></li><li><p>
Experience deploying and scaling AI inference using optimized serving frameworks.</p></li><li><p>
Experience building multi-agent systems using agent orchestration tools.</p></li></ul><p><b>
Functional &amp; Behavioral Skills</b></p><ul><li><p>
Service-minded, open-minded, culturally aware.</p></li><li><p>
Highly structured, focused, and able to prioritize effectively.</p></li><li><p>
Innovative, curious, and a strategic thinker.</p></li><li><p>
Strong analytical and problem-solving abilities.</p></li><li><p>
Team-oriented with the ability to foster collaboration and psychological safety.</p></li><li><p>
Adaptable, proactive and comfortable working under strict deadlines.</p></li></ul><p><b>
Potential Career Path</b></p><ul><li><p>
Progression to Senior Manager/ Director roles AI and Data positions.</p></li></ul></div>

Senior AI Engineer

ZZ-Technologies, islamabad

<p><b>Job Summary:</b></p><p>We are seeking a skilled and innovative <b>AI Engineer</b> to design, develop, and implement AI-driven solutions to support our products and operations. The ideal candidate will have strong experience in machine learning, deep learning, data processing, and software engineering.</p><p><b>Responsibilities:</b></p><p><b>LLM Development &amp; Fine-Tuning</b></p><ul><li>Fine-tune and adapt state-of-the-art LLMs (e.g., LLaMA, GPT, Mistral, Gemma) for domain-specific tasks.</li><li>Implement advanced training strategies including <b>LoRA</b>, <b>QLoRA</b>, <b>PEFT</b>, and parameter-efficient adaptation methods.</li><li>Manage dataset preprocessing, curation, augmentation, and experiment tracking.</li><li>Optimize models for quality, latency, and memory efficiency across training and inference.</li></ul><p><b>GPU-Based Training &amp; Optimization</b></p><ul><li>Run and optimize training pipelines across multi-GPU environments (NVIDIA A100, H100, RTX, etc.).</li><li>Implement mixed-precision training, quantization, and distributed training (e.g., DeepSpeed, FSDP, DDP).</li><li>Monitor GPU performance, memory usage, and throughput to ensure optimal resource utilization.</li></ul><p><b>Model Serving &amp; Infrastructure</b></p><ul><li>Deploy LLMs using modern serving frameworks (vLLM, TensorRT-LLM, HuggingFace TGI, Triton).</li><li>Develop scalable inference architectures using Docker, Kubernetes, and cloud GPU infrastructure.</li><li>Build end-to-end pipelines for continuous training, evaluation, and automated deployment.</li></ul><p><b>Research, Experimentation &amp; Innovation</b></p><ul><li>Stay updated with cutting-edge research in transformers, embeddings, RAG, PEFT, and efficient fine-tuning.</li><li>Run experiments, benchmark models, and propose architectural or training improvements.</li><li>Prototype new capabilities and develop internal best practices for LLM workflows.</li></ul><p><b>Collaboration &amp; Leadership</b></p><ul><li>Work closely with product, engineering, and data teams to translate requirements into model behaviors.</li><li>Mentor junior engineers and contribute to technical design reviews and architecture decisions.</li><li>Communicate model performance, limitations, and trade-offs clearly to stakeholders</li></ul><p><b>Requirements:</b></p><ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, AI, Data Science, Engineering, or a related field.</li><li>Strong coding skills in Python (TensorFlow, PyTorch, Scikit-learn, OpenCV, etc.).</li><li>Solid understanding of machine learning algorithms, deep learning, NLP, or computer vision.</li><li>Experience with cloud platforms (AWS, Azure, GCP) is a plus.</li><li>Familiarity with MLOps tools (Docker, Kubernetes, MLflow, etc.) preferred.</li><li>Strong problem-solving skills and ability to work on complex, data-driven problems.</li><li>Ability to work collaboratively in a team-oriented environment.</li></ul><p><b>Preferred Qualifications:</b></p><ul><li>Experience deploying AI models in production environments.</li><li>Knowledge of LLMs (Large Language Models) and prompt engineering.</li><li>Background in data engineering or backend development.</li><li>Research experience or publications in AI/ML fields.</li></ul><p>You can share your cv on whtsapp as well. 03355707047</p><p>Job Type: Full-time</p><p>Pay: Rs200,000.00 - Rs500,000.00 per month</p><p>Work Location: In person</p>

NUST

<div></div><p><div><div><div><div><div><div><div><div>Last Date: Sunday, January 4, 2026<br>
</div></div><br>
</div></div></div></div><br>
<div></div><div><div><div><div><div><div>Job Detail<br>
</div></div><br>
</div></div></div></div><br>
<div></div><div><div><div><div><div><div>Job Ref #: </div><div>Job/5986/12/23/2025
 </div></div><br>
<div><div>Age Limit: </div><div>25<li></li>45
</div></div><br>
<div><div>Experience:
</div></div><br>
<div></div><div><div>Posted Date: </div><div>Tuesday, December 23, 2025
</div></div><br>
<div><div>Salary: </div><div>Market Competitive<br>
</div></div><br>
<div></div><br>
<br>
<br>
<div><div><div><div><div><div><div><b>Job Description:
</b></div></div><br>
<div><div><div><b>Qualification:</b></div><div><br>
</div><ul><li>BS degree in Computer Science, Software Engineering, or Computer Engineering from an HEC recognized University.</li></ul><div><br>
</div><div><b>Experience:</b></div><div><br>
</div><ul><li>3 to 4 years of hands-on experience building and shipping AI systems in production.</li></ul>
<ul><li>Hands-on experience training and fine-tuning LLMs, including LoRA-based fine-tuning.</li></ul>
<ul><li>Proven experience building RAG pipelines (chunking, embeddings, retrieval, reranking, grounding, and evaluation,</li></ul>
<ul><li>Experience building agentic systems using LangChain and LangGraph, deploying models locally on GPUs using vLLM and/or Ollama, Ray and Kubernetes for scalable serving &amp; operations and building real-time voice agents using LiveKit.</li></ul>
<ul><li>Experience with automated evaluation and benchmarking for LLM, RAG, and agent workflows.</li></ul>
<ul><li>Experience implementing guardrails and secure tool execution patterns.</li></ul><div><br>
</div><div><b>Key Responsibilities:</b></div><div><br>
</div><ul><li>Train and fine-tune LLMs for task performance and alignment using SFT and alignment methods (RLHF, PPO, GRPO), and validate with robust evaluation practices.</li></ul>
<ul><li>Build production-grade RAG systems including ingestion, chunking, embedding, vector search, reranking, grounding, and evaluation to reduce hallucinations.</li></ul>
<ul><li>Develop agentic AI workflows using LangChain and LangGraph, including tool calling, multi-step planning, memory, guardrails, and observability.</li></ul>
<ul><li>Deploy and serve models locally on GPUs using vLLM and Ollama, optimizing throughput, latency, batching, and KV cache behavior.</li></ul>
<ul><li>Productionize distributed inference and services using Ray and Kubernetes (deployments, autoscaling, rolling updates, reliability).</li></ul>
<ul><li>Build end-to-end voice agents using LiveKit (streaming STT, LLM orchestration, TTS, turn-taking, and real-time session handling).</li></ul>
<ul><li>Collaborate with product and engineering teams to define requirements, success metrics, and deliver production-ready features with documentation and tests.</li></ul><div><br>
</div><div><div><b>Knowledge/Skills/Abilities:</b></div><div><br>
</div><ul><li>Strong Python skills with practical experience in PyTorch and modern LLM tooling.</li></ul>
<ul><li>Familiarity with distributed GPU inference concepts (tensor parallelism, caching, throughput tuning).</li></ul>
<ul><li>Working knowledge of CI/CD, monitoring, logging, and tracing for AI services.</li></ul>
<ul><li>Working knowledge of alignment techniques and workflows such as RLHF, PPO, and GRPO.</li></ul></div><div><br>
</div>
<div></div><br>
<div><b>Terms &amp; Conditions:</b></div><div><br>
</div><ul><li>Candidates are required to attach scanned copies of their documents (Academics /Professional).</li></ul>
<ul><li>Last education certificate/degree must be attested/verified by HEC.</li></ul><div><br>
</div><div><b>Candidates may be considered ineligible for the post due to any of the following reasons:</b></div><div><br>
</div><ul><li>3rd Div in academic career / weak academic profile.</li></ul>
<ul><li>NUST employees with less than one year of service with NUST and / or absence of NOC from Head of Institution.</li></ul>
<ul><li>In process of pursuing a required degree.</li></ul>
<ul><li>Medically unfit.</li></ul>
<ul><li>Only selected candidates will be contacted and issued offer letter.</li></ul>
<ul><li>Candidates serving in Govt departments, Armed forces may apply through their respective parent department / organizations.</li></ul>
<ul><li>Late / incomplete applications will be ignored.</li></ul>
<ul><li>Only short-listed candidates will be considered / called for test / interview and no TA / DA will be admissible.</li></ul>
<ul><li><b>NUST reserves the right to cancel, modify / terminate the recruitment programme due to any reason, without notice, at any time.</b></li></ul></div></div></div></div></div></div></div></div></div></div></div></div></div></p><div></div>

Edge

<div>
 <p>
  <strong>
   About Edge
  </strong>
 </p>
 <p>
  Edge is on a mission to remove geographic borders as barriers to full-time employment and fair wages. We&rsquo;re building a global HR platform ecosystem that seamlessly connects exceptional talent worldwide with North American businesses. By making global hiring easier than local hiring, we give companies a broader talent pool and accelerate their hiring process. Spread across four continents, we&rsquo;re a global team redefining how people work together.
 </p>
 <p>
  <strong>
   Role Overview
  </strong>
 </p>
 <p>
  We are seeking a
  <strong>
   Senior AI/ML Engineer (Agentic AI)
  </strong>
  to architect and implement autonomous, goal-driven AI agents. This role is ideal for someone experienced in multi-agent systems, orchestration frameworks, and deploying complex LLM-based agents that can reason, plan, and act in dynamic environments.
 </p>
 <p>
  <strong>
   Key Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Agentic System Design
   </strong>
   &ndash; Design and deploy multi-agent or hierarchical reasoning systems capable of planning, self-correction, and collaboration.
  </li>
  <li>
   <strong>
    LLM Orchestration
   </strong>
   &ndash; Build long-running pipelines using frameworks such as LangGraph, AutoGen, or similar to manage memory, tool-use, and context.
  </li>
  <li>
   <strong>
    Tool &amp; Data Integration
   </strong>
   &ndash; Connect agents to APIs, knowledge graphs, and vector databases (e.g., Pinecone, Weaviate, Milvus) to enable autonomous decision-making.
  </li>
  <li>
   <strong>
    Data &amp; Infrastructure
   </strong>
   &ndash; Develop and maintain data pipelines and embedding stores; implement ETL/ELT workflows.
  </li>
  <li>
   <strong>
    Optimization &amp; Scaling
   </strong>
   &ndash; Fine-tune and optimize LLMs for performance, cost, and safety; implement monitoring and feedback loops.
  </li>
  <li>
   <strong>
    Cross-Functional Collaboration
   </strong>
   &ndash; Partner with product, engineering, and compliance teams to align agent behavior with business goals and regulatory requirements.
  </li>
 </ul>
 <p>
  <strong>
   Must-Have Qualifications
  </strong>
 </p>
 <ul>
  <li>
   Demonstrated experience designing and deploying agentic or multi-agent AI systems.
  </li>
  <li>
   Deep understanding of transformer architectures and advanced prompt-engineering strategies.
  </li>
  <li>
   Strong Python skills and expertise with orchestration frameworks (LangGraph, AutoGen, CrewAI, etc.).
  </li>
  <li>
   Proficiency in building robust data pipelines and working with vector databases.
  </li>
  <li>
   Cloud deployment and MLOps experience (AWS, GCP, or Azure).
  </li>
 </ul>
 <p>
  <strong>
   Preferred Qualifications
  </strong>
 </p>
 <ul>
  <li>
   Experience fine-tuning LLMs with LoRA/QLoRA/PEFT.
  </li>
  <li>
   Knowledge of reinforcement learning, planning algorithms, or neuro-symbolic methods.
  </li>
  <li>
   Contributions to open-source agentic AI frameworks or published research in autonomous AI.
  </li>
 </ul>
 <p>
  <strong>
   Why Join Edge?
  </strong>
 </p>
 <p>
  Edge is at a pivotal growth stage, giving you the rare opportunity to shape the future of global employment. Your work will directly impact how businesses hire and how talent everywhere connects to opportunity.
 </p>
 <p>
  Join us to
  <strong>
   build the next generation of autonomous AI that changes how the world works across borders.
  </strong>
 </p>
</div>


Senior AI/ML Engineer (Agentic AI)

Cloudelligent

<div><p>Position Title: Sr. AWS AI Engineer<br>
Location: Islamabad<br>
Job Timings: 6pm-3am Pakistan Time (PKT)<br>
<br>
<b>About Cloudelligent</b><br>
<br>
Cloudelligent is Cloud-native consultancy and AWS Advanced consulting partner! We specialize in providing bespoke cloud solutions to startups and SMBs. Being a next-gen cloud service provider, Cloudelligent helps businesses to make the most out of their cloud investment. We have an international footprint with a diverse team of domain experts, and we are customer obsessed.<br>
<br>
<b>Job Objective</b><br>
<br>
As a Sr. AWS AI Engineer at Cloudelligent, you will drive the development of innovative artificial intelligence solutions. This role emphasizes the implementation, optimization, and deployment of AI models while collaborating with cross-functional teams to enhance our products and services. The ideal candidate will possess a strong foundation in both machine learning and deep learning. Additionally, this role will lead and manage a team of AI engineers, guiding their growth and ensuring the successful delivery of AI-driven solutions.<br>
<br>
<b>Responsibilities:</b></p><ul><li>
Implement and fine-tune pre-trained AI models tailored to meet specific industry needs.</li><li>
Utilize cloud-based AI services, particularly AWS Bedrock, Amazon SageMaker, Amazon Rekognition, and OpenAI, to streamline development and deployment processes.</li><li>
Leverage AWS data services, including Amazon Athena, Amazon Redshift, OpenSearch, Kendra and AWS Glue, for efficient data processing and analysis.</li><li>
Optimize AI models for performance, accuracy, and efficiency, ensuring they meet real-world requirements.</li><li>
Apply techniques to reduce AI hallucination and enhance model reliability.</li><li>
Utilize Retrieval-Augmented Generation (RAG) techniques to improve AI response quality.</li><li>
Work with vector databases, specifically PostgreSQL with pgvector, for efficient similarity search and information retrieval in AI applications.</li><li>
Collaborate with cross-functional teams to seamlessly integrate AI capabilities into our products and services.</li><li>
Engage in prompt engineering to enhance model interaction and output quality.</li><li>
Stay updated on the latest trends and advancements in AI technologies, contributing to the adoption of new tools and techniques.</li></ul><b>
Requirements:</b><ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, AI, Machine Learning, or a related field.</li><li>
5+ years of hands-on experience in AI/ML development with a strong focus on AWS-based AI services.
</li><li>Advanced proficiency in Python and expertise in AI/ML frameworks such as TensorFlow, PyTorch, or Keras.</li><li>
Extensive experience with AWS AI services, including Amazon SageMaker, AWS Bedrock, and integrating Azure OpenAI into cloud-based solutions.</li><li>
In-depth knowledge of AWS data services, including Amazon Athena, Amazon Redshift, AWS Glue, and their application in AI/ML pipelines.</li><li>
Expertise in Agentic Behavior in AI and deploying models using technologies like CrewAI, LangGraph, and Langchain.</li><li>
Experience with vector databases and similarity search techniques for scalable AI solutions.</li><li>
Understanding of AI/ML algorithms and architectures, including CNNs, RNNs, transformers, and experience building end-to-end solutions.</li><li>
Expertise in data preprocessing, feature engineering, and model evaluation at scale.</li><li>
Demonstrated ability to lead AI/ML projects and communicate complex ideas effectively to both technical and non-technical stakeholders.</li></ul><b>
Good to Have:</b><ul><li>
Experience with machine learning frameworks and libraries like TensorFlow, PyTorch, or Scikit-learn.</li><li>
Knowledge of big data technologies such as Apache Spark or Hadoop.</li><li>
Familiarity with data visualization tools and techniques.</li></ul><b>
Highly Desirable:</b><ul><li>
Relevant certifications (e.g., AWS Certified Machine Learning &ndash; Specialty, AWS Certified AI Practitioner).</li></ul><p><br>
</p><p></p><p>
</p><p>Eddu0LEAtX</p></div>

Sr. AWS AI Engineer

Rainbow Group

<p>Hiring: Senior Software Engineer (Backend &ndash; Golang)</p><p><b>Company:</b> Stealth Startup (AI / Generative Media)<br/><b>Product:</b> Text-to-Image &amp; Text-to-Video Platform<br/><b>Location:</b> Pakistan (Remote / Hybrid)<br/><b>Experience:</b> 1&ndash;4+ years<br/><b>Tech Stack:</b> Golang (Core), Next.js (Plus)</p><p>About the Role</p><p>We are building a <b>next-generation AI platform</b> focused on <b>text-to-image and text-to-video generation</b>. As a Senior Backend Software Engineer, you will work on the <b>core backend systems</b> that power high-throughput inference, job orchestration, user workflows, and platform scalability.</p><p>This is a <b>hands-on, impact-heavy role</b> in a small team where your decisions will directly shape the product.</p><p>What You&rsquo;ll Do</p><ul><li>Design and build <b>high-performance backend services</b> using <b>Golang</b></li><li>Develop APIs to support image/video generation workflows</li><li>Work on job queues, async processing, and system reliability</li><li>Optimize backend systems for <b>speed, scale, and cost</b></li><li>Collaborate closely with frontend and infrastructure teams</li><li>Participate in system design and architectural decisions</li><li>Write clean, maintainable, production-grade code</li></ul><p>Requirements</p><ul><li><b>1&ndash;4+ years of backend development experience</b></li><li>Solid understanding of:</li><li>Data structures &amp; algorithms</li><li>Concurrency and performance optimization</li><li>API design (REST / gRPC)</li><li>Experience with relational databases (PostgreSQL/MySQL)</li><li>Comfortable working in fast-moving startup environments</li><li><b>Must be a graduate of one of the following universities:</b></li><li>NUST</li><li>FAST (NUCES)</li><li>GIKI</li></ul><p>Nice to Have (Strong Plus)</p><ul><li>Experience with Golang, <b>Next.js / React</b></li><li>Familiarity with Docker, Kubernetes, or cloud infrastructure</li><li>Experience with high-traffic systems or media pipelines</li><li>Exposure to AI platforms, ML inference, or GPU-based workloads</li></ul><p>Why Join</p><ul><li>Work on <b>cutting-edge AI products</b> (text-to-image / video)</li><li>High ownership and direct impact</li><li>Learn systems design at scale</li><li>Competitive compensation based on skill</li><li>Founder-level visibility and growth</li></ul><p>Job Type: Full-time</p><p>Pay: Rs250,000.00 - Rs400,000.00 per month</p><p>Work Location: In person</p>

Senior Software Engineer

Information Tech Consultants

<div>
 <p>
  🌟 Senior Data Scientist SME /
  <strong>
   Data Science SME (Subject matter expert)
  </strong>
  🧠
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Location : London (Relocation required - Sponsorship will be provided)
  </strong>
 </p>
 <p>
  <strong>
   Experience : 9-12 years
  </strong>
 </p>
 <p>
  <strong>
   CTC- 40-45 lacs
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are seeking a highly accomplished and results-oriented
  <strong>
   Senior Data Scientist Subject Matter Expert (SME)
  </strong>
  with over
  <strong>
   10 years of experience
  </strong>
  to lead our advanced analytics and AI initiatives. This is a pivotal role requiring deep technical mastery across large-scale Big Data technologies, multi-cloud environments, and cutting-edge specialized AI domains, including
  <strong>
   Generative AI, Computer Vision, and Natural Language Processing (NLP)
  </strong>
  .
 </p>
 <p>
  You will be the principal technical leader, driving strategy, setting standards, and delivering high-impact solutions that transform business outcomes.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Key Responsibilities
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   <strong>
    AI/ML Strategy &amp; Architecture:
   </strong>
   Define the technical roadmap and architectural standards for deploying and scaling complex AI systems, particularly those involving
   <strong>
    Generative AI (GenAI)
   </strong>
   , large language models (
   <strong>
    LLMs
   </strong>
   ), and specialized models in Computer Vision and NLP.
  </li>
  <li>
   <strong>
    Big Data Engineering:
   </strong>
   Design, build, and optimize high-throughput, distributed data pipelines and features using
   <strong>
    Apache Spark (Scala)
   </strong>
   and
   <strong>
    Hive
   </strong>
   on massive datasets to support model training and inference.
  </li>
  <li>
   <strong>
    Cross-Cloud Execution:
   </strong>
   Lead the design and deployment of ML models and data infrastructure across multiple major cloud providers (
   <strong>
    AWS, Azure, and GCP
   </strong>
   ), ensuring portability, scalability, and cost efficiency.
  </li>
  <li>
   <strong>
    Specialized Model Development:
   </strong>
   Lead hands-on development, fine-tuning, and deployment of production-grade models in key specialized areas:
  </li>
  <li>
   <strong>
    Computer Vision:
   </strong>
   Developing and optimizing models for image recognition, object detection, and video analytics.
  </li>
  <li>
   <strong>
    NLP:
   </strong>
   Building sophisticated systems for sentiment analysis, entity extraction, semantic search, and RAG architectures leveraging LLMs.
  </li>
  <li>
   <strong>
    Generative AI:
   </strong>
   Exploring and implementing cutting-edge GenAI techniques for content creation, data augmentation, and innovative product features.
  </li>
  <li>
   <strong>
    SME Consulting &amp; Mentorship:
   </strong>
   Act as the internal authority and consultant, providing technical guidance, architectural review, and mentorship to junior data scientists and engineering teams.
  </li>
  <li>
   <strong>
    MLOps &amp; Governance:
   </strong>
   Establish best practices for MLOps, model monitoring, version control, and model risk governance in a multi-cloud production environment.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Required Skills and Expertise (10+ Years)
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  1. Big Data and Cloud Mastery
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   <strong>
    Programming &amp; Big Data:
   </strong>
   10+ years of extensive, hands-on experience with
   <strong>
    Apache Spark
   </strong>
   , with strong preference for production development using
   <strong>
    Scala
   </strong>
   . Deep expertise with
   <strong>
    Apache Hive
   </strong>
   for data querying and management.
  </li>
  <li>
   <strong>
    Cloud Proficiency:
   </strong>
   Demonstrated expertise in deploying and managing data/ML workloads across
   <strong>
    at least two
   </strong>
   of the three major cloud platforms:
   <strong>
    AWS
   </strong>
   (Sagemaker, EMR, S3),
   <strong>
    Azure
   </strong>
   (Azure ML, Synapse Analytics), and
   <strong>
    GCP
   </strong>
   (Vertex AI, BigQuery).
  </li>
  <li>
   <strong>
    Data Architecture:
   </strong>
   Expert knowledge of distributed systems, data partitioning, optimization techniques, and data warehousing concepts in a cloud-native context.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  2. Advanced AI/ML Specialization
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   <strong>
    Generative AI (GenAI) &amp; LLMs:
   </strong>
   Proven experience with the architecture and implementation of Generative AI solutions, including prompt engineering, fine-tuning, and deploying
   <strong>
    Large Language Models (LLMs)
   </strong>
   .
  </li>
  <li>
   <strong>
    Computer Vision:
   </strong>
   In-depth knowledge of deep learning frameworks (TensorFlow, PyTorch) and experience with Computer Vision tasks (e.g., CNNs, object detection models like YOLO).
  </li>
  <li>
   <strong>
    NLP:
   </strong>
   Expert practical experience in NLP techniques, including transformer models, embedding generation, and building complex text-based applications.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  3. Leadership &amp; Soft Skills
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   <strong>
    Technical Leadership:
   </strong>
   Proven track record of leading complex data science projects from research to production deployment.
  </li>
  <li>
   <strong>
    Communication:
   </strong>
   Exceptional ability to translate complex technical findings into clear, strategic recommendations for technical and executive audiences.
  </li>
  <li>
   <strong>
    Mentorship:
   </strong>
   Experience mentoring and training senior engineers and data scientists.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Education and Certification
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Master&rsquo;s or Ph.D. in Computer Science, Data Science, Engineering, or a highly quantitative field.
  </li>
  <li>
   Relevant professional cloud certifications (e.g., AWS Certified Machine Learning Specialty, Google Cloud Professional Data Engineer) are highly desirable.
  </li>
 </ul>
 <p>
 </p>
</div>


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