intelligence engineer

ibex. Pakistan

<div>
 <p>
  The
  <strong>
   Business Intelligence (BI) Engineer
  </strong>
  will be responsible for designing, developing, and maintaining scalable data systems and dashboards that drive strategic and operational decisions across the company. This position requires a balance of technical expertise in data modeling, visualization, and ETL pipeline development, along with strong business understanding to convert complex data into actionable insights for leadership and field teams.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   Design, build, and manage ETL processes to gather and consolidate data from multiple systems (CRM, ERP, scheduling platforms, customer databases, etc.).
  </li>
  <li>
   Ensure data quality, accuracy, and governance through validation, documentation, and access control best practices.
  </li>
  <li>
   Develop, maintain, and optimize interactive BI dashboards and reports to monitor business performance.
  </li>
  <li>
   Collaborate with teams across operations, finance, marketing, and customer experience to define requirements and provide data-driven insights.
  </li>
  <li>
   Analyze business trends, identify improvement opportunities, and provide recommendations to support strategic goals.
  </li>
  <li>
   Promote and support the adoption of BI tools and foster data literacy throughout the organization.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Required:
  </strong>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s degree with
   <strong>
    3+ years of experience
   </strong>
   as a BI Engineer, Data Analyst, or Data Engineer.
  </li>
  <li>
   Proficiency in
   <strong>
    Python
   </strong>
   or other scripting languages for data transformation and ingestion.
  </li>
  <li>
   Strong knowledge of
   <strong>
    ETL processes
   </strong>
   and
   <strong>
    data modeling
   </strong>
   (e.g., star schema, snowflake).
  </li>
  <li>
   Experience integrating data via
   <strong>
    APIs
   </strong>
   across SaaS and business systems (e.g., CRM, ERP, Google Ads, Meta Ads).
  </li>
  <li>
   Expertise in
   <strong>
    SQL
   </strong>
   and working with relational databases (MS SQL Server, PostgreSQL, MySQL, etc.).
  </li>
  <li>
   Hands-on experience with
   <strong>
    BI visualization tools
   </strong>
   such as Power BI, Tableau, or Looker Studio.
  </li>
  <li>
   Strong analytical and problem-solving skills.
  </li>
  <li>
   Excellent communication skills with the ability to explain technical concepts to non-technical stakeholders.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Preferred:
  </strong>
 </p>
 <ul>
  <li>
   Familiarity with
   <strong>
    Microsoft BI and cloud tools
   </strong>
   (Azure, Synapse, Fabric, Power BI, Power Apps, Power Automate).
  </li>
  <li>
   Experience in
   <strong>
    field services, HVAC, or home services
   </strong>
   industries is an advantage.
  </li>
 </ul>
 <p>
 </p>
</div>


Business Intelligence Engineer

Intuitive (Intuitive Surgical)

<div><h3 class="jobSectionHeader"><b>Company Description</b></h3><p>
At Intuitive, we are united behind our mission: we believe that minimally invasive care is life-enhancing care. Through ingenuity and intelligent technology, we expand the potential of physicians to heal without constraints.<br>
<br>
As a pioneer and market leader in robotic-assisted surgery, we strive to foster an inclusive and diverse team, committed to making a difference. For more than 25 years, we have worked with hospitals and care teams around the world to help solve some of healthcare's hardest challenges and advance what is possible.<br>
<br>
Intuitive has been built by the efforts of great people from diverse backgrounds. We believe great ideas can come from anywhere. We strive to foster an inclusive culture built around diversity of thought and mutual respect. We lead with inclusion and empower our team members to do their best work as their most authentic selves.<br>
<br>
Passionate people who want to make a difference drive our culture. Our team members are grounded in integrity, have a strong capacity to learn, the energy to get things done, and bring diverse, real world experiences to help us think in new ways. We actively invest in our team members to support their long-term growth so they can continue to advance our mission and achieve their highest potential.<br>
<br>
Join a team committed to taking big leaps forward for a global community of healthcare professionals and their patients. Together, let's advance the world of minimally invasive care.</p><h3 class="jobSectionHeader"><b>
Job Description</b></h3><p><b>
Primary Function of Position:</b></p><p>
As a Senior BI Engineer, you will be the creative force behind analytics solutions that drive business transformation. This role blends technical depth with strategic impact&mdash;you&rsquo;ll design data pipelines, experiment with AI-driven insights, and build dashboards that do more than report&mdash;they inspire action.</p><p>
You&rsquo;ll bring curiosity, innovation, and technical fluency to a team where analytics goes beyond dashboards into the realm of intelligent storytelling and change enablement.</p><p>
The Senior BI Engineer is responsible for shaping, developing, and delivering scalable analytics and reporting solutions that provide strategic value. This role involves close collaboration across business and technical teams to design robust data ecosystems, ensure data reliability, and deliver insights that influence strategic decision-making.</p><p><b>
Roles and Responsibilities:</b></p><p>
Data Analysis, Data Processing and Integration:</p><ul><li>
Collaborate with onshore and offshore teams to understand data requirements.</li><li>
Develop, maintain, and optimize data pipelines to extract, transform, and load (ETL) data from various sources.</li><li>
Ensure data integrity and accuracy by implementing data validation and cleansing techniques.</li></ul><p>
Report Development:</p><ul><li>
Create visually appealing and informative reports, dashboards, and visualizations using reporting tools like Power BI, Tableau,Apache Superset or ThoughtSpot.</li><li>
Interpret business requirements and translate them into actionable insights through data visualization.</li></ul><p>
Collaboration and Communication:</p><ul><li>
Collaborate with business analysts, data scientists, and stakeholders to understand reporting needs and deliver solutions accordingly.</li><li>
Communicate complex technical concepts to non-technical stakeholders effectively.</li></ul><p>
Quality Assurance:</p><ul><li>
Perform thorough testing of reports, and visualizations to ensure accuracy and functionality.</li><li>
Troubleshoot and resolve data-related issues in a timely manner.</li></ul><p>
Documentation:</p><ul><li>
Document data processes, transformations, and report specifications for future reference.</li><li>
Maintain comprehensive documentation of developed solutions and workflows.</li></ul><p>
Continuous Improvement:</p><ul><li>
Stay updated with industry trends and emerging technologies related to data processing and reporting.</li><li>
Proactively suggest improvements to existing processes and tools to enhance the overall data reporting ecosystem.</li></ul><p>
Leadership &amp; Collaboration</p><ul><li>
Mentor junior analysts and engineers, sharing best practices and fostering a culture of learning.</li><li>
Partner with stakeholders to ensure analytics initiatives align with business goals.</li><li>
Communicate technical concepts clearly to non-technical audiences.</li></ul><p>
Innovation &amp; Prototyping</p><ul><li>
Prototype analytics solutions using APIs, Python, and AI/ML tools (e.g., Cortex AI).</li><li>
Continuously evaluate emerging BI technologies and experiment with new tools for automation and intelligence.</li></ul><h3 class="jobSectionHeader"><b>
Qualifications</b></h3><p><b>
Required Knowledge, Skills, and Experience:</b></p><ul><li>
Minimum bachelor&rsquo;s degree in computer science, Information Technology, or a related field.</li><li>
Minimum 3-6 years of proven experience as a data engineer, business intelligence developer, or similar role.</li><li>
Proficiency in programming languages such as Python, SQL, and data manipulation libraries.</li><li>
Hands-on experience with data visualization tools like Power BI, Tableau, Apache Superset, ThoughtSpot etc.</li><li>
Strong understanding of database concepts, data modeling, and ETL processes.</li><li>
Advanced SQL proficiency and experience with modern cloud data warehouses (Snowflake DB preferred)</li><li>
Problem-solving skills and attention to detail to ensure data accuracy and integrity.</li><li>
Excellent communication skills and the ability to work collaboratively across distributed teams.</li><li>
Strong organizational and multitasking abilities to handle multiple projects simultaneously.</li><li>
Strong analytical thinking, problem-solving skills, and attention to detail.</li><li>
Adaptable, self-motivated, with a passion for continuous learning and innovation</li><li>
Knowledge of Agile methodologies and version control systems is beneficial.</li></ul><h3 class="jobSectionHeader"><b>
Additional Information</b></h3><div></div><p>
Intuitive is an Equal Employment Opportunity Employer. We provide equal employment opportunities to all qualified applicants and employees, and prohibit discrimination and harassment of any type, without regard to race, sex, pregnancy, sexual orientation, gender identity, national origin, color, age, religion, protected veteran or disability status, genetic information or any other status protected under federal, state, or local applicable laws.</p><p>
We will consider for employment qualified applicants with arrest and conviction records in accordance with fair chance laws.</p><p>
U.S. Export Controls Disclaimer: In accordance with the U.S. Export Administration Regulations (15 CFR &sect;743.13(b)), some roles at Intuitive Surgical may be subject to U.S. export controls for prospective employees who are nationals from countries currently on embargo or sanctions status.</p><p>
Certain information you provide as part of the application will be used for purposes of determining whether Intuitive Surgical will need to (i) obtain an export license from the U.S. Government on your behalf (note: the government&rsquo;s licensing process can take 3 to 6+ months) or (ii) implement a Technology Control Plan (&ldquo;TCP&rdquo;) (note: typically adds 2 weeks to the hiring process).
</p><p>For any Intuitive role subject to export controls, final offers are contingent upon obtaining an approved export license and/or an executed TCP prior to the prospective employee&rsquo;s start date, which may or may not be flexible, and within a timeframe that does not unreasonably impede the hiring need. If applicable, candidates will be notified and instructed on any requirements for these purposes.</p><p><b>
Shift:</b> Day</p></div>

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>

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>

Lloyds Technology Centre

<div></div><div><div>End Date</div>
Friday 27 February 2026<div></div><div><div>
We Support Flexible Working &ndash; Click here for more information on flexible working options</div></div><div></div><div>
Flexible Working Options</div>
Hybrid Working<div></div><div>
Job Description Summary</div>
WORKING PATTERN: Our work style is hybrid, which involves spending at least two days per week, or 40% of our time, at our office location.<br>
About this opportunity<br>
This is a senior leadership role within our Hyderabad-based &lsquo;Business Intelligence as a Service&rsquo; (BIAAS) Lab, part of the CIO Enablement function.<br>
The emphasis is on &ldquo;Enablement&rdquo; &ndash; therefore the lab does not deliver BI Analytics, Dashboards, Visualisations or MI. Instead, it focuses on the design, delivery, and evolution of strategic BI platforms and technologies that empower business teams to create and consume their own content.<br>
We&rsquo;re seeking a leader with solid expertise in enterprise-scale BI platform engineering. You will collaborate closely with technology vendors and internal teams across Cloud Computing, Networking, Security, Architecture, and more &ndash; and a strong foundation in Software Engineering Principles, Platform Enablement Patterns, and the associated challenges are essential to be successful in this role.<br>
We are entering an exciting new era where AI and intelligent Agents are set to transform our BI platforms, and a strong understanding of these technologies - and their application across BI services - will be a significant advantage.<br>
You will lead and grow a local team of BIAAS Platform and Infrastructure Engineers. You will balance technical leadership with strong people and delivery focuses. Your role will be pivotal in shaping and delivering the highest quality, customer-centric, integrated platform solutions, while mentoring and motivating your team to achieve excellence.<br>
While you will lead a local team, you will also form part of a broader BIAAS lab leadership team across India and the UK, where you will contribute to:<div></div><div>
Job Description</div><div>
We&rsquo;re seeking a leader with solid expertise in enterprise-scale BI platform engineering. You will collaborate closely with technology vendors and internal teams across Cloud Computing, Networking, Security, Architecture, and more &ndash; and a strong foundation in Software Engineering Principles, Platform Enablement Patterns, and the associated challenges are essential to be successful in this role.</div><div>
We are entering an exciting new era where AI and intelligent Agents are set to transform our BI platforms, and a strong understanding of these technologies - and their application across BI services - will be a significant advantage.</div><div>
You will lead and grow a local team of BIAAS Platform and Infrastructure Engineers. You will balance technical leadership with strong people and delivery focuses. Your role will be pivotal in shaping and delivering the highest quality, customer-centric, integrated platform solutions, while mentoring and motivating your team to achieve excellence.</div><div>
While you will lead a local team, you will also form part of a broader BIAAS lab leadership team across India and the UK, where you will contribute to:</div><ul><li>
Defining and executing our BIAAS Strategy</li><li>
Fostering a high-performing team culture</li><li>
Driving Delivery excellence</li><li>
Driving People excellence</li><li>
Driving continuous improvement across our On-premise and Cloud BI Platforms</li><li>
Advancing Self-Service BI capabilities</li><li>
Designing and delivering Conversational Analytics solutions</li><li>
Design and governance of a robust BI Knowledge Layer</li><li>
Incorporating &ldquo;Agentic&rdquo; capabilities across our BI services</li><li>
Simplifying and innovating across the BI estate</li><li>
Strengthening relationships with key internal stakeholders and third-party partners to support our BI strategy</li></ul><div></div><div>
About the Team:</div><div>
We are a dynamic and diverse lab, with a reputation of delivery at pace, innovating and challenging the status quo.</div><div>
The lab has a growing number of Feature teams spread across UK and India, committed to fostering Psychological Safety, Accountability, Commitment, and a deep attention to our Vision and Objectives.</div><div>
Our BI Products aim to unlock the potential of our rich data through innovative Self-Serve solutions - a &quot;BI Marketplace&quot; (think Amazon for BI).</div><div>
We build, scale, maintain, and monitor capabilities within our strategic BI Platforms while evaluating and developing innovative future offerings (think ChatGPT for BI).</div><div>
We celebrate diversity and empower every team member to challenge convention, push boundaries, and explore bold ideas that lead to smarter, more innovative solutions.</div><div>
If you are passionate about making an impact and enjoy working in a fast-paced environment where your voice is valued, this is the perfect opportunity for you!</div></div><div></div>

Business Intelligence Lead Engineer

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

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>

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