artificial intelligence engineer

ARPU PLUS

<p><b>Key Responsibilities:</b></p><ul><li><b>AI Solution Design and Development:</b></li><li>Designing, developing, and deploying complex AI/ML models and systems.</li><li>Selecting and implementing appropriate algorithms and frameworks.</li><li>Building scalable and efficient AI pipelines.</li><li><b>Model Training and Evaluation:</b></li><li>Training and fine-tuning machine learning models using large datasets.</li><li>Evaluating model performance and optimizing for accuracy and efficiency.</li><li>Implementing model monitoring and retraining strategies.</li><li><b>Software Development and Integration:</b></li><li>Integrating AI models into existing software systems.</li><li>Developing APIs and other interfaces for AI services.</li><li>Writing clean, efficient, and well-documented code.</li><li><b>Research and Innovation:</b></li><li>Staying up-to-date with the latest AI research and trends.</li><li>Exploring and evaluating new AI technologies and techniques.</li><li>Contributing to research and development efforts.</li><li><b>Leadership and Collaboration:</b></li><li>Leading and mentoring junior AI engineers.</li><li>Collaborating with cross-functional teams, including data scientists, software engineers, and product managers.</li><li>Communicating complex technical concepts to non-technical stakeholders.</li><li><b>Solution Architecture:</b></li><li>Designing the architecture of AI powered solutions, insuring scalability, and reliability.</li></ul><p>Requirements</p><p><b>Required Skills and Qualifications:</b></p><ul><li><b>Education:</b></li><li>A bachelor's or master's degree in computer science, artificial intelligence, machine learning, or a related field.</li><li><b>Experience:</b></li><li>Significant experience in AI/ML development, typically 5+ years.</li><li>Proven track record of deploying AI solutions in production environments.</li><li>Experience with deep learning frameworks (TensorFlow, PyTorch, etc.).</li><li>Experience with cloud platforms (AWS, Azure, GCP).</li><li><b>Technical Skills:</b></li><li>Proficiency in programming languages such as Python, Java, or C++.</li><li>Strong understanding of machine learning algorithms and deep learning techniques.</li><li>Experience with natural language processing (NLP), computer vision, or other AI subfields.</li><li>Knowledge of data engineering principles and practices.</li><li>Familiarity with containerization and orchestration tools (Docker, Kubernetes).</li><li><b>Soft Skills:</b></li><li>Strong problem-solving and analytical skills.</li><li>Excellent communication and collaboration skills.</li><li>Ability to work independently and as part of a team.</li><li>Leadership qualities.</li></ul><p>Job Type: Full-time</p>

Artificial Intelligence Engineer

Habilelabs Pvt. Ltd.

<div><div><b>Job Description: AI Engineer</b></div><div>
Position Title: AI Engineer</div><div>
Experience Level: 3&ndash;5 years</div><div>
Employment Type: Full-time</div><div>
Department: Engineering</div><div>
Location: Jaipur, Gurgaon.</div><div>
</div><div><b>
Required Qualifications</b></div><div>
Technical Expertise</div><ul><li>
3&ndash;5 years of professional experience in AI/ML engineering, with focus on LLM-based applications or agentic systems</li><li>
Deep proficiency in Python and hands-on experience with AI/ML frameworks (LangChain, Hugging Face, PyTorch, TensorFlow)</li><li>
Proven experience building or optimizing Retrieval-Augmented Generation (RAG) systems</li><li>
Hands-on experience with LLM architectures and working with models of 7B+ parameters</li><li>
Practical knowledge of small language models (SLMs) and model quantization/optimization techniques</li><li>
Familiarity with MCP servers or similar integration protocols for LLM tools</li><li>
Proficiency with version control (Git) and CI/CD pipelines</li><li>
Knowledge of containerization (Docker) and cloud platforms (AWS, Azure, or GCP)</li><li>
Understanding of database systems (relational and vector databases)</li><li>
Solid understanding of ML lifecycle: model training, evaluation, validation, and deployment</li><li>
Experience with prompt engineering, in-context learning, and few-shot learning techniques</li><li>
Understanding of evaluation metrics and benchmarking frameworks for LLM systems</li></ul><div><b>
Preferred Qualifications</b></div><ul><li>
Experience with open-source LLM frameworks and models (LLaMA, Mistral, Phi, etc.)</li><li>
Hands-on experience with vector databases and semantic search optimization</li><li>
Background in building production-grade agentic systems at scale</li><li>
Familiarity with prompt frameworks, chain-of-thought techniques, and structured outputs</li><li>
Experience with model serving platforms (vLLM, Ray Serve, TorchServe)</li><li>
Knowledge of AI safety, model alignment, and responsible AI practices</li><li>
Contributions to open-source AI/ML projects</li><li>
Experience with multi-modal models or advanced retrieval techniques</li><li>
Familiarity with organizational process automation and enterprise AI deployment</li><li>
Experience designing and implementing multi-agent systems or agentic AI frameworks</li></ul></div><div></div>

BlackRock

<div><div><div>Location:</div>
<div><div><b>Gurgaon, Haryana</b></div>
</div></div><div><div>Team:</div>
<div><b>Data Science</b></div>
</div><div>Job Requisition #: <b>R257864</b></div>
<div>Date posted: <b>Nov. 18, 2025</b></div></div><p></p>
<br><div><h2 class="jobSectionHeader"><b>Job description</b></h2>
<div><p><b>About this role</b></p><div><div><div><p><b>
About this role</b></p></div><p></p><div><p>
BlackRock Global Markets and Index Investments (BGM)bringstogether BlackRock&rsquo;s index equity, index fixed income, global trading, securities lending, cash management, ETF markets, and financing and financial resource management businesses to deliver investment, trading,financingand risk management excellence for clients every minute of every day.</p></div><p></p><div><p>
The AI Office within BlackRock Global Markets is a function focused on transforming our businesses with the use of AI, with 3 specificgoals :scaling the investment process to increase productivity, generating insightsforperformanceandidentifyingrevenue opportunities to grow our business. We will achieve these goals bydelivering ona cohesive AI strategy for BGM, helping drive prioritization and governance and connecting with partners across theFirm onAI initiatives. Also critical is the acceleration of our execution plans for AI, helping run pilots and proof of concepts to final deployed products and the incubation of AI DNA into BGM, bringing in new skills to make us better technologists and help amplify our collective impact. To this end, a BGM AI Center of Excellencehas beenestablishedin Gurgaon to be a key driver of the program and a great central partner to all BGM functions indelivering onour AI goals.</p></div><p></p><div><p><b>
Job Purpose/Background:</b></p></div><div><p>
The BGM AI office is looking for a dynamiccontributor totheAI Center of Excellence team, that workswith all BGM functions to build core AI capabilities. The primary job responsibilities include research and development of use cases on language models (LLMs) andbuildout ofquantitative/ML based components to accelerate our execution on BGM&rsquo;s AI strategy. The team will focus onidentifyingkey AI ideas for BGM,incubatingand delivering Proof ofConceptsand working with businesses to roll out successful pilots to production workflows. The work will also involve building common platforms and toolkits for use by in-business partners and helping raise the AI skillset forall ofBGM.</p></div><p></p><div><p><b>
Key Responsibilities:</b></p></div><div><ul><li><p>
Partner with in-business teams to lead the design and development of AI models/use cases for key BGM initiatives, focusing on the technical build and evaluation of Proof of Concepts towards Production, especially in thefast movingGenerative AI space</p></li></ul></div><div><ul><li><p>
Be a subject matter expert and a resource for large language models (LLMs)/ Natural language processing work within BGM</p></li></ul></div><div><ul><li><p>
Build quantitative/ML models as needed and in partnership with research and data science teams within BGM and at the Firm</p></li></ul></div><div><ul><li><p>
Create common tools and platform solutions that can be useful across multiple BGM use cases, leveraging and adapting Firm technology where applicable</p></li></ul></div><div><ul><li><p>
Work with BGM&rsquo;s data engineering teams to source new datasets for AI modelingand prepare existing ones for AI use</p></li></ul></div><div><ul><li><p>
Work with BLK&rsquo;s central AI office and other AI-forward teams at BlackRock, especially in Investment organizations toidentifysynergies and opportunities to partner</p></li></ul></div><div><ul><li><p>
Create alignment and help build a community with AI,Researchand data teams in Gurgaon and within BGM globally</p></li></ul></div></div><p></p><div><div><p><b>
Skills &amp; Qualifications:</b></p></div><div><ul><li><p>
3+ years of experience in theFinancialservices industry in a Data/ Analytics/Research/Technology oriented role requiring knowledge of investment workflows and products</p></li></ul></div><div><ul><li><p>
Bachelor&rsquo;slevel education with a focus on statistics, mathematics, engineering, computerscienceor related fields</p></li></ul></div><div><ul><li><p>
Experience with natural language processing and the modern Transformer architecture for text summarization, vectorization, entityextractionand reasoning</p></li></ul></div></div></div><p><b>
Our benefits</b><br>
<br>
To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.</p><p><b>
Our hybrid work model</b></p><p>
BlackRock&rsquo;s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person &ndash; aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.</p><p><b>
About BlackRock</b></p><p>
At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children&rsquo;s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.</p><p>
This mission would not be possible without our smartest investment &ndash; the one we make in our employees. It&rsquo;s why we&rsquo;re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.</p><p>
For additional information on BlackRock, please visit @blackrock | Twitter: @blackrock | LinkedIn: www.linkedin.com/company/blackrock</p><p></p><p>
BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, family status, gender identity, race, religion, sex, sexual orientation and other protected attributes at law.</p></div>
<div><div><b>Job Requisition #</b>
<br>
R257864</div></div></div><p></p>

Artificial Intelligence Engineer (ML/LLM), Investments, Associate

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><div><p><b>Inviting Applications for</b><b> </b><b>AI </b><b>Engineer</b></p>
</div>
<div><p><b>Experience Required: </b><b>5</b><b> </b><b>to </b><b>8</b><b> Years</b></p>
</div>
<div><p><b>Location: Hyderabad</b></p>
</div>
<div><p><b>Job Description:</b></p>
</div>
<div><ul><li><div>Design, develop, and deploy AI and <b>Generative AI, Machine Learning based</b> solutions
</div></li></ul></div></div></div></div><div><div><div><b>Location</b></div>
<div>Hyderabad</div>
</div><div><div><b>Job Function</b></div>
<div>TECHNOLOGY</div>
</div><div><div><b>Role</b></div>
<div>Analyst</div>
</div><div><div><b>Job Id</b></div>
<div>378332</div>
</div><div><div><b>Desired Skills</b></div>
<div>AI &amp; Gen AI - Products &amp; Tools | Artificial Intelligence | Azure | DevOps</div>
</div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : BACHELOR OF ENGINEERING</div></div></div><div></div>

AI Engineer

RMG | مجموعة ريناد المجد (لتقنية المعلومات)

<div>
 <p>
  <strong>
   RMG is Hiring Junior AI Engineer.
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Job Requirements:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  &middot; Holds a degree in Artificial Intelligence or Computer Science
 </p>
 <p>
  &middot; Has foundational knowledge in AI and data processing
 </p>
 <p>
  &middot; Capable of working with SQL database
 </p>
 <p>
  &middot; Proficient in programming, particularly in Python
 </p>
 <p>
  &middot; Demonstrates strong teamwork and collaboration skills
 </p>
</div>


Junior AI Engineer

Appgain

<p>APPGAIN is seeking an innovative and experienced AI Engineer to join our dynamic team. As an AI Engineer, you will be instrumental in designing, developing, and deploying cutting-edge artificial intelligence and machine learning solutions that address complex business challenges. You will work at the intersection of data science, software engineering, and operations to bring AI models from research to production.</p><p><b>Responsibilities:</b></p><ul><li>Design, develop, and implement scalable AI models and algorithms using machine learning and deep learning techniques.</li><li>Build and manage robust AI development and production infrastructure, including data pipelines and MLOps workflows.</li><li>Collaborate with data scientists, product managers, and other stakeholders to translate business requirements into AI-driven solutions.</li><li>Integrate AI models into existing software systems and applications, ensuring seamless functionality and performance.</li><li>Conduct statistical analysis and interpret results to optimize AI models and guide decision-making.</li><li>Perform model testing, validation, and debugging to ensure accuracy, reliability, and efficiency.</li><li>Monitor and maintain deployed AI systems, identifying and resolving issues, and continuously optimizing performance.</li><li>Stay up-to-date with the latest advancements in AI research, technologies, and industry best practices.</li><li>Contribute to the adoption of AI best practices across teams and promote a data-driven culture.</li><li>Document machine learning processes, models, and solutions thoroughly.</li></ul><p><b>Qualifications:</b></p><ul><li>Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related quantitative field.</li><li>Proven experience as an AI Engineer, Machine Learning Engineer, or a similar role, with a strong portfolio of deployed AI solutions.</li><li>Proficiency in programming languages commonly used in AI, such as Python (with libraries like TensorFlow, PyTorch, Keras) or Java.</li><li>Solid understanding of machine learning algorithms (e.g., supervised, unsupervised, reinforcement learning) and deep learning neural networks.</li><li>Experience with big data technologies (e.g., Apache Spark, Hadoop, MongoDB) and data processing techniques.</li><li>Strong knowledge of SQL and experience with database modeling and management.</li><li>Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their AI/ML services.</li><li>Excellent problem-solving, analytical, and critical thinking skills.</li><li>Strong communication and interpersonal skills, with the ability to explain complex technical concepts to non-technical stakeholders.</li><li>Ability to work effectively in an agile, fast-paced, and collaborative environment.</li><li>Experience with Natural Language Processing (NLP), Computer Vision, or Reinforcement Learning.</li><li>Knowledge of MLOps tools and practices (e.g., MLflow, Kubeflow, Docker, Kubernetes).</li><li>Experience with prompt engineering for Large Language Models (LLMs).</li><li>Familiarity with software design patterns and principles.</li><li>Contributions to open-source AI projects or relevant publications.</li></ul><p>Job Type: full time on site</p><p>Job Type: Full-time</p><p>Education:</p><ul><li>Bachelor's (Preferred)</li></ul><p>Experience:</p><ul><li>AI Engineer: 3 years (Preferred)</li><li>machine learning algorithms : 3 years (Preferred)</li><li>big data technologies : 3 years (Preferred)</li></ul>

Value Engineering

<p><b>Location:</b> Bahria Phase 4, Rawalpindi (Onsite)<br/><b>Experience Required:</b> Minimum 5+ Years<br/><b>Job Type:</b> Full-Time<br/><b>Shift:</b> Night Shift</p><p><b>Position Overview:</b></p><p>We are looking for an <b>experienced and innovative AI/ML Engineer</b> to join our dynamic team at <b>The Value Engineering</b>. The ideal candidate will have a strong background in <b>machine learning, deep learning, and artificial intelligence</b>, with proven experience in building, deploying, and optimizing AI models that solve complex, real-world problems.</p><p>This role offers an opportunity to lead impactful projects, collaborate with cross-functional teams, and push the boundaries of what&rsquo;s possible with data-driven intelligence.</p><p><b>Key Responsibilities:</b></p><ul><li>Design, develop, and deploy <b>advanced AI/ML models</b> and predictive systems.</li><li>Build and maintain <b>data pipelines</b>, from data collection to preprocessing and model deployment.</li><li>Apply statistical analysis, optimization, and machine learning algorithms to large-scale datasets.</li><li>Collaborate with <b>data scientists, software engineers, and business teams</b> to deliver production-grade solutions.</li><li>Monitor and fine-tune model performance for scalability and accuracy.</li><li>Research and implement <b>cutting-edge ML algorithms</b> and frameworks.</li><li>Develop tools and processes for <b>automated model training, evaluation, and deployment (MLOps)</b>.</li></ul><p><b>Required Skills &amp; Qualifications:</b></p><ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in <b>Computer Science, Data Science, Artificial Intelligence, or a related field</b>.</li><li><b>5+ years of hands-on experience</b> in AI/ML model development and deployment.</li><li>Strong command of <b>Python</b> and libraries such as <b>TensorFlow, PyTorch, Scikit-learn, Keras, NumPy, and Pandas</b>.</li><li>Proven experience with <b>data preprocessing, model optimization</b>, and <b>feature engineering</b>.</li><li>Experience in <b>cloud platforms</b> (AWS, Azure, or GCP) and <b>containerization tools</b> (Docker, Kubernetes).</li><li>Familiarity with <b>API integration</b> and model serving using <b>Flask/FastAPI</b>.</li><li>Deep understanding of <b>algorithms, statistics, and mathematical modeling</b>.</li><li>Strong problem-solving, analytical thinking, and teamwork skills.</li></ul><p>Job Type: Full-time</p><p>Pay: Rs500,000.00 - Rs600,000.00 per month</p><p>Application Question(s):</p><ul><li>Are you comfortable working in Night Shift?</li><li>Are you comfortable commuting to bahria phase 4 Rawalpindi?</li></ul><p>Work Location: In person</p>

Senior AI/ML Engineer

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