programming engineer

ENGIE

<p></p><div><div><div><div><div><div><p><b>Role Summary:</b></p>
<div>
<div><div><div><div><b>Job Title</b></div></div><div><br>
<div>
Python Engineer</div></div></div><div><br>
<div>
<div><b>Location</b></div></div><div><br>
<p>
Candidate should be open for both - flexible to work both from Pune Office &amp; Remotely depending on position requirement</p></div></div><div><br>
<div>
<div><b>Shift Timing</b></div></div><div><br>
<div>
01:00 PM to 10:00 PM IST</div></div></div><div><br>
<div>
<div><b>Exp Range</b></div></div><div><br>
<div>
4 to 6 Yrs</div></div></div></div></div><br>
<p>
</p><p></p><p>The Python Engineer will be responsible for designing, developing, and maintaining scalable, high-performance applications and services using Python. This role involves collaborating closely with cross-functional teams to understand requirements, build efficient backend solutions, integrate APIs, and ensure system reliability and maintainability. The engineer will also contribute to code reviews, optimization efforts, and continuous improvement initiatives to enhance overall software quality and team productivity.</p><br>
<p></p>
<ul>
<li>This role requires expertise in Python and familiarity with Azure Cloud development and integration.</li></ul><br>
<p></p>
<ul>
<li>Familiarity with DevOps practices and deployment tools.</li></ul><br>
<p></p>
<ul>
<li>Hands-on experience with Python libraries such as Pandas, NumPy, Matplotlib etc.</li></ul><br>
<p></p>
<ul>
<li>Proficient in using version control systems such as Git.</li></ul><br>
<p></p>
<ul>
<li>Experience with containerization tools like Docker.</li></ul><br>
<p></p>
<ul>
<li>Familiarity with continuous integration and deployment tools like Jenkins, GitLab CI</li></ul><br>
<p></p>
<p><b>
Responsibilities:</b></p><br>
<p></p>
<p>
Web Development:</p><br>
<p></p>
<ul>
<li>Design and develop scalable and efficient server-side features using Python.</li></ul><br>
<p></p>
<ul>
<li>Collaborate with SCADA developers to integrate user-facing elements with server-side scripting.</li></ul><br>
<p></p>
<p>
CI/CD:</p><br>
<p></p>
<ul>
<li>Implement continuous integration and deployment processes using tools such as Jenkins and GitLab CI.</li></ul><br>
<p></p>
<ul>
<li>Collaborate with DevOps teams to ensure smooth deployment and maintenance of applications.</li></ul><br>
<p></p>
<ul>
<li>Code Optimization and Maintenance:</li></ul><br>
<p></p>
<ul>
<li>Conduct code reviews and implement optimizations for code quality, maintainability, and efficiency.</li></ul><br>
<p></p>
<ul>
<li>Identify and address issues in web applications and AI/ML components.</li></ul><br>
<p></p>
<p>
Collaboration and Communication:</p><br>
<p></p>
<ul>
<li>Work closely with cross-functional teams, including data scientists, and product managers, to deliver integrated solutions.</li></ul><br>
<p></p>
<ul>
<li>Communicate effectively with team members and stakeholders to gather requirements and provide updates on project progress.</li></ul><br>
<p></p>
<ul>
<li>Develop and execute test cases and test scripts (manual and automated) based on product requirements.</li></ul><br>
<p></p>
<ul>
<li>Identify, document, and track bugs using standard defect tracking tools (e.g., DevOps).</li></ul><br>
<p></p>
<p><b>
Required Skills:</b></p>
<ul>
<li>Strong proficiency in Python and solid understanding of object-oriented programming (OOP) and design patterns.</li></ul><br>
<p></p>
<ul>
<li>Experience in RESTful API design, development, and integration.</li></ul><br>
<p></p>
<ul>
<li>Good knowledge of database systems (SQL and databases such as InfluxDB, MariaDB).</li></ul><br>
<p></p>
<ul>
<li>Familiarity with version control systems (e.g., Git, GitHub, Azure DevOps).</li></ul><br>
<p></p>
<ul>
<li>Experience with unit testing frameworks (e.g., pytest, unittest).</li></ul><br>
<p></p>
<ul>
<li>Working knowledge of Linux environments, CI/CD pipelines, and containerization (Docker/Kubernetes preferred).</li></ul><br>
<p></p>
<ul>
<li>Exposure to cloud platforms ( Azure) is a plus.</li></ul><br>
<p></p>
<ul>
<li>Knowledge of asynchronous programming, data structures, and algorithm optimization is desirable.</li></ul><br>
<p></p>
<p><b>
Prerequisites:</b></p><br>
<p></p>
<ul>
<li>Qualification - BE/B Tech/MCA.</li></ul><br>
<p></p>
<ul>
<li>The candidate should have a minimum of 4+ years of experience.</li></ul><br>
<p></p>
<ul>
<li>Candidate should be open for both - flexible to work both from Pune Office &amp; Remotely depending on position requirement</li>
</ul></div></div></div></div><div></div><div><div><div><div><b>Business Unit: </b>GBU Renewables &amp; Flexible Power
</div></div></div></div><div><div><div><div><b>Division: </b>REN AMEA - India
</div></div></div></div><div><div><div><div><b>Legal Entity: </b>ENGIE Energy and Services India Private Limited
</div></div></div></div><div><div><div><div><b>Professional Experience: </b>Skilled ( &gt;3 experience &lt;15 years)
</div></div></div></div><div><div><div><div><b>Education Level: </b>Bachelor's Degree
</div></div></div></div><div><div><div><div><b>Company Name: </b>ENGIE India
</div></div></div></div><div><div><div><p>Why this matters to us</p>
<p>Our organisation is an equal opportunity employer and is committed to fostering a diverse and inclusive workplace. We offer reasonable accommodations upon request for individuals with disabilities.</p></div></div></div></div></div>

Python Engineer

Software Engineer, Product (Bangalore)

Sony India

<div>
 We are looking for an experienced AI/ML Engineer, who can execute projects end to end and take then to production pipeline. The candidate is expected to lead the AI/ML work across multiple projects, working along with other ML Engineers , ensuring clear understanding and translation of requirements for the team and proposing optimized solutions. He / She would also need to work on Ad hoc timebound POC&rsquo;s.
 <br/>
 <br/>
 Capability building and team upskill would also be expected from him / her. We would want him / her to share the knowledge with other team members and bring them up to the same level , which includes conducting learning sessions across teams and monitoring the progress of the team members.
 <br/>
 <br/>
 <ul>
  <li>
   Design and develop various machine learning and deep learning models and systems for high impact consumer applications ranging from predictive safety, content personalization&rsquo;s, search, virtual assistant, time series forecasting and more.
  </li>
  <li>
   Work with a broad spectrum of state-of-the-art machine learning and deep learning technologies, in the areas of various machine learning problems such as multilingual text classification, language modelling and multi-modal learning.
  </li>
  <li>
   Create metrics and configure A/B testing to evaluate model performance offline and online to inform and convey our impacts to diverse groups of stakeholders.
  </li>
  <li>
   Analyse and produce insights from a large amount of dynamic structured and unstructured data using modern big data and streaming technologies
  </li>
  <li>
   Produce reusable code according to standard methodologies in Python, Scala or Java
  </li>
  <li>
   Collaborate with cross-functional teams of technical members and non-technical members in architecture, design, and code reviews.
   <br/>
   <br/>
  </li>
 </ul>
 Strong Python programming skills
 <br/>
 <br/>
 <strong>
  [Good to have Skills]:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   SQL, Data Analysis , Gaming Industry knowledge
  </li>
 </ul>
</div>


ML Engineer

Smarsh

<div><div><b>Who are we?</b></div><div></div><div><br>
Smarsh empowers its customers to manage risk and unleash intelligence in their digital communications. Our growing community of over 6500 organizations in regulated industries counts on Smarsh every day to help them spot compliance, legal or reputational risks in 80+ communication channels before those risks become regulatory fines or headlines. Relentless innovation has fueled our journey to consistent leadership recognition from analysts like Gartner and Forrester, and our sustained, aggressive growth has landed Smarsh in the annual Inc. 5000 list of fastest-growing American companies since 2008.</div><div></div><div><br>
As a Platform Engineer III, you will serve as the technical and strategic leader for the development and evolution of the Engineering Platform. You will drive the platform's roadmap execution, align it with organizational objectives, and ensure its scalability, reliability, and extensibility. This is a high-impact role requiring technical depth, architectural foresight, and leadership in guiding teams.</div>
<h3 class="jobSectionHeader"><b>Key Responsibilities</b></h3><ul><li><b>
Strategic Leadership</b></li><li>
Define the architecture and long-term vision for the <b>platform team</b>, aligning it with our roadmap and business objectives.</li><li>
Collaborate with platform architects and product owners to define long-term vision for self-service datastore provisioning and lifecycle management.</li><li>
Drive engineering initiatives that enable consistent, secure, and scalable management of diverse datastores.</li><li>
Align datastore platform evolution with broader enterprise infrastructure and data management strategies.</li><li><b>
Roadmap Execution</b></li><li>
Translate strategic objectives into a clear technical roadmap with incremental deliverables for self-service datastore capabilities.</li><li>
Work with cross-functional teams to prioritize enhancements, integrations, and automation features while ensuring alignment with data platform goals.</li><li>
Deliver high-impact automation to reduce provisioning time, increase reliability, and improve developer experience.</li><li><b>
Technical Execution</b></li><li>
Design and implement platform APIs, Infrastructure-as-Code templates, and orchestration pipelines for automated creation, scaling, and management of datastores.</li><li>
Integrate provisioning workflows with internal service catalogs, CI/CD pipelines, and monitoring solutions.</li><li>
Ensure consistent configuration management and environment parity across development, staging, and production datastores.</li><li>
Troubleshoot and resolve performance, reliability, and integration issues.</li><li><b>
Mentorship &amp; Team Enablement</b></li><li>
Guide junior engineers and peers in best practices for infrastructure automation, datastore management, and platform reliability.</li><li>
Conduct code reviews, architectural discussions, and knowledge-sharing sessions focused on modern platform engineering practices.</li><li><b>
Security, Compliance, and Governance</b></li><li>
Implement automated guardrails for datastore provisioning ensuring compliance with data security policies, encryption standards, and regulatory requirements</li><li>
Maintain role-based access controls, audit logging, and vulnerability remediation processes for datastore services.</li><li>
Work closely with InfoSec teams to proactively address security risks and ensure platform resilience.</li></ul><ul><li><b>
Optimization &amp; Scalability</b></li><li>
Architect datastore solutions to minimize operational cost while ensuring high availability and fault tolerance.</li><li>
Lead initiatives to optimize performance of large-scale and multi-tenant datastore services through sharding, clustering, caching, and replication strategies.</li><li>
Continuously assess new datastore technologies, infrastructure patterns, and scaling approaches to keep the platform future-ready.</li></ul><h3 class="jobSectionHeader"><b>
Qualifications</b></h3><ul><li>
6&ndash;8 years of experience in platform engineering, DevOps, or infrastructure automation roles, preferably working with data platforms.</li><li>
 <b>Technical Expertise:</b></li><li>
Deep expertise with AWS for provisioning, security and management of data infrastructure.</li><li>
Advanced experience writing and managing Terraform infrastructure-as-code</li><li>
Strong programming and scripting abilities in Python, Go, Bash, or Java for automation and custom tooling.</li><li>
Deep experience with containerization and orchestration (Docker, Kubernetes), and integrating platform workflows with CI/CD pipelines.</li><li>
Operational knowledge of data technologies including MongoDB, Kafka, Elasticsearch, Cassandra, S3, RDS, and SFTP, including configuration, scaling, and backup strategies.</li><li><b>
Leadership Skills:</b></li><li>
Proven ability to technically guide the teams and dive into the solving problems and ready for getting their hands dirty.</li><li>
Strong collaboration and communication skills for working across functional teams and stakeholders.</li></ul><div><b>
About our culture</b></div><div></div><div><br>
Smarsh hires lifelong learners with a passion for innovating with purpose, humility and humor. Collaboration is at the heart of everything we do. We work closely with the most popular communications platforms and the world&rsquo;s leading cloud infrastructure platforms. We use the latest in AI/ML technology to help our customers break new ground at scale. We are a global organization that values diversity, and we believe that providing opportunities for everyone to be their authentic self is key to our success. Smarsh leadership, culture, and commitment to developing our people have all garnered Comparably.com Best Places to Work Awards. Come join us and find out what the best work of your career looks like.</div></div>

Platform Engineer III

Corning

<p></p><div><p><b>Date: </b>Nov 3, 2025
</p><p><b>Location:</b> Gurgaon, HR, IN, 122002
</p><p><b>Company: </b>Corning
</p><div><p>Requisition Number: 71536</p><br>
<p></p>
<p><b>
The company built on breakthroughs.
</b><br>
<b>Join us.<br>
</b></p><p></p><p>Corning is one of the world&rsquo;s leading innovators in glass, ceramic, and materials science. From the depths of the ocean to the farthest reaches of space, our technologies push the boundaries of what&rsquo;s possible.<br>
</p><p></p><p>How do we do this? With our people. They break through limitations and expectations &ndash; not once in a career, but every day. They help move our company, and the world, forward.<br>
</p><p></p><p>At Corning, there are endless possibilities for making an impact. You can help connect the unconnected, drive the future of automobiles, transform at-home entertainment, and ensure the delivery of lifesaving medicines. And so much more.<br>
</p><p></p><p>Come break through with us.</p><p><br>
The global Information Technology (IT) Function is leading efforts to align IT and Business Strategy, leverage IT investments, and optimize end to end business processes and associated information integration technologies. Through these efforts, IT helps to improve the competitive position of Corning's businesses through IT enabled processes. IT also delivers Information Technology applications, infrastructure, and project services in a cost efficient manner to Corning worldwide.</p><div><div><div><h2 class="jobSectionHeader"><b>
Role Purpose</b></h2>
</div><div><div>
As an HPC Application Specialist you will be a member of Corning&rsquo;s global Scientific Computing team supporting the development and use of scientific softwares on our HPC Clusters. The ideal candidate will be an experienced C++ and Python developer familiar with parallel programming technologies (OpenMP, MPI, CUDA) and have a good understanding of FEM-based open-source software in the field of Solid Mechanics (MOOSE, FEniCS). You will work closely with HPC System Engineers, Consultants, and with Corning&rsquo;s Modeling and Machine Learning community, with a special focus on the solid mechanics community, to identify, develop, and implement solutions and technical support that enable Modeling and Scientific Computing objectives to be met.</div></div></div><div><div><h2 class="jobSectionHeader"><b>
Key Responsibilities</b></h2>
</div><div><ul>
<li><p>Engage with the diverse global HPC user community handling issues from individual support tickets to participating on modeling projects.</p>
</li>
<li><p>Develop, validate, and apply numerical models to solve nonlinear FEA, fracture mechanics and other applied mechanics problems related to product performance and processes using open-source tools such as MOOSE and FEniCS.</p>
</li>
<li><p>Work to expand the capabilities of the FEM-based open-source software as needed. Collaborate with external code owners and internal project stakeholders.</p>
</li>
<li><p>Develop models for HPC environments, with consideration of requirements such as efficient use of memory, storage, network resources, scalability, and parallel execution.</p>
</li>
<li><p>Work independently and collaboratively within project teams</p>
</li>
<li><p>Research, install, configure, maintain, and optimize a broad set of commercial and open-source scientific software for use on HPC clusters</p>
</li>
<li><p>Consult with scientists and engineers to identify, model, and automate complex scientific processes.</p>
</li>
<li><p>Research and diagnose software build, execution, and performance problems quickly and effectively.</p>
</li>
<li><p>Develop and present training for new software or HPC capabilities being deployed.</p>
</li>
<li><p>Develop and maintain technical documentation for the HPC user community.</p>
</li>
<li><p>Build relationships that foster collaboration and partnerships to drive better services for the technology community</p>
</li>
</ul></div></div><div><div><h2 class="jobSectionHeader"><b>Required Skills</b></h2>
</div><div><p>
1. Experience with developing complex numerical models in open-source tools such as MOOSE, FEniCS, and a good understanding of its source code.</p>
<p>
2. Strong background in solid mechanics and FEA. Deep understanding of solid mechanics concept and theory.</p>
<p>
3. Strong skills and experience developing with standard programming languages used in scientific high-performance computing (e.g. C/C++, Python, FORTRAN)</p>
<p>
4. Experience with HPC and parallel programming concepts and techniques (e.g. MPI, OpenMP, OpenACC, CUDA)</p>
<p>
5. Proven working experience in developing, configuring, and troubleshooting applications for Linux based environments</p>
<p>
6. Solid understanding of High Performance Computing (HPC) environment and related technologies</p>
<p>
7. Experience in writing, porting, debugging, analyzing, and optimizing parallel programs</p>
<p>
8 Solid understanding of the software development process including requirements, use cases, design, coding, documentation and testing of scalable, distributed applications in a Linux environment</p>
<p>
9. Positive customer service attitude and strong oral and written communication skills</p>
<p>
10. Excellent troubleshooting and problem-solving skills</p>
<p>
11. Adaptable and able to work well in a group and project environment</p>
<p>
12. Ability to work well with ambiguous requirements and adapt to change quickly</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Desired Skills</b></h2>
</div><div><p>
1. Experience working in a research focused IT environment</p>
<p>
2. Experience with HPC schedulers and resource managers such Slurm Workload Manager, PBS or equivalent.</p>
<p>
3. Experience with utilization of cluster-based and container-based modeling and simulation packages in HPC environments.</p>
<p>
4. Experience with a variety of build/install tools (e.g. CMake, Makefile, autoconf) and HPC package managers (e.g. Spack, Easybuild)</p>
<p>
5. Familiarity with principles of Large Language Models and their incorporation into scientific environments is a plus.</p>
<p>
6. Experience with Linux system administration is a plus</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Experiences/Education - Desired</b></h2>
</div><div><ul><li>Masters / Dual Degree / PhD in Mechanical, Materials Science, Aerospace Engineering or Computational Sciences from IITs / IISc / reputed foreign universities.</li></ul>
<ul><li>Relevant work experience of more than 4 years after Masters / Dual Degree or more than 2 years after PhD.</li></ul>
<ul><li>Minimum of 5 years hands-on experience in a large, distributed computing environment.</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
Soft Skills</b></h2>
</div><div><p>
1. Excellent communication skills (verbal or written); good presentation skills.</p>
<p>
2. Well-developed skills in working across multiple cultures and on a globally dispersed and diverse team.</p>
<p>
3. Proven ability to work on multiple projects simultaneously and provide technical leadership when needed.</p>
<p>
4. Problem solving skills demonstrated through troubleshooting on product or process related issues.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Travel Requirements</b></h2>
</div><div><p>
Occasional travel to global locations to interact with people in the research, development, engineering, and manufacturing community (up to 10%)</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Hours of work/Flex-time</b></h2>
</div><div><ul><li>Option to work-from-home up to 2 days/week.</li></ul>
<ul><li>Limited evening work hours to overlap with team members in Europe and United States (East Coast).</li></ul></div></div></div></div></div><p></p>

Development Scientist

OnHires

<div><h4 class="jobSectionHeader"><b>Location: </b><b>Dubai, UK, Cyprus</b><br>
<b>Time:</b><b> (GMT+4)</b></h4><h4 class="jobSectionHeader"><b>
About the Company</b></h4><p>
Our client is a leading liquidity and technology provider specializing in the crypto and foreign exchange (FX) industries. With over 10 years of experience, they deliver advanced B2B tech solutions that empower brokers and financial institutions to scale faster while minimizing infrastructure costs. Their clients include licensed brokers, crypto exchanges, hedge funds, and asset managers globally.</p><p><b>
Overview:</b></p><p>
We are currently looking for a <b>Hub Team Platform Engineer/ FX Liquidity Platform Engineer</b> who will ensure the smooth operation of the hubs and maintain the correct operation of the system.</p><h4 class="jobSectionHeader"><b>
Key Responsibilities:</b></h4><ul>
<li><p><b>
FX Client Onboarding:</b> Full management of the institutional client onboarding lifecycle, including setup and configuration of:</p></li>
<li><p>
Direct <b>FIX connections</b>.</p></li>
<li><p>
Connectors for <b>MT4/MT5 Bridges</b>.</p></li>
<li><p><b>
Giveup (Dropcopy)</b> connections for reporting and trade replication.</p></li>
<li><p><b>
Liquidity Hub Operations:</b> Daily monitoring, maintenance, and assurance of optimal functioning for Liquidity Hubs.</p></li>
<li><p><b>
Reconciliation &amp; Compliance:</b> Conducting critical <b>Reconciliation</b> of the Coverage Account against the Margin Account within the Hubs to mitigate operational risks.</p></li>
<li><p><b>
Incident Management:</b> Rapid identification and resolution of issues related to <b>FIX Protocol</b>, Network Latency, and APIs, including <b>troubleshooting</b> and <b>escalation</b> during emergencies.</p></li>
<li><p><b>
Reporting &amp; Data Analysis:</b> Generation of comprehensive <b>Volume Reports</b> and custom reports (Custom reports) for financial control and risk analysis.</p></li>
<li><p><b>
Process Ownership:</b> Full handling of <b>Compensation cases</b> from initial analysis to final settlement (A to Z).</p></li>
<li><p><b>
Conformance Testing:</b> Execution of Conformance Testing for Taker and Maker APIs, ensuring the integration readiness of new partners.</p></li>
</ul><h3 class="jobSectionHeader"><b>
Requirements:</b></h3><ul>
<li><p>
Liquidity Hubs<b> (Mandatory) &ndash; OneZero, PrimeXM, Centroid, FXCubic</b></p></li>
<li><p>
Connectivity Protocols &ndash; <b>FIX Protocol</b> (Expert Level), <b>REST API</b>, <b>RabbitMQ</b> (or Kafka).</p></li>
<li><p>
Databases &ndash; <b>MySQL</b> (for complex queries, reporting, and Reconciliation tasks).</p></li>
<li><p>
Diagnostics &ndash; <b>Network troubleshooting</b> (traceroute, telnet, TCP/IP), Monitoring <b>Latency.</b></p></li>
<li><p>
Trading Systems &ndash; <b>MT4/MT5</b> (Connector / Bridge Technology).
</p></li><li><p>English &ndash; <b>B2</b></p></li>
<li><p><b>
Experience in the fintech sector &ndash; must have</b></p></li>
<li><p>
Meta trader knowledge &ndash; <b>preferably</b></p></li>
</ul><p><b>
Benefits:</b></p><ul>
<li><p>
Competitive salary based on knowledge and experience.</p></li>
<li><p>
24 days of annual leave (as per group policy).</p></li>
<li><p>
Fully remote.</p></li>
<li><p>
Support for continuing education, blockchain certifications, and regulatory training (after one year with the company).</p></li></ul></div>

Platform Engineer/ FX Liquidity Platform Engineer

Glow Beauty On Demand

<br><b>Job Title<br></b>ML Platform Engineer   Generative AI &amp; Machine Learning Infrastructure<br>Job Description<br>ML Platform Engineer   Generative AI &amp; Machine Learning Infrastructure<br> <br>Location: Dubai, UAE<br>Industry: Technology / AI / Food &amp; Q-commerce<br>Function: Machine Learning Engineering<br>Gender: Any<br>Candidate Nationality: Any<br>Job Type: Full-time<br> <br><b>Role Overview<br></b>Talabat, the leading on-demand food and Q-commerce app in the region, is seeking an experienced ML Platform Engineer to design, develop, and scale robust machine learning and generative AI platforms. The role involves building end-to-end ML infrastructure, enabling fast experimentation, efficient model deployment, and seamless monitoring to support next-generation AI-driven solutions for millions of users.<br> <br><b>Key Responsibilities<br></b> <br>* Build scalable ML platforms supporting data ingestion, model training, deployment, and monitoring for both traditional ML and generative AI models<br>* Design standardized ML workflows using tools like MLflow, Kubeflow, and implement CI/CD pipelines with Docker and Kubernetes<br>* Optimize generative AI deployments involving transformers, embeddings, RAG systems, and vector databases such as Pinecone, Redis, or Weaviate<br>* Implement real-time serving frameworks like TensorFlow Serving, NVIDIA Triton, or Seldon for production-grade inference<br>* Automate model lifecycle management and implement observability measures to track performance, detect drift, and maintain reliability<br>* Collaborate with data engineering and product teams to align ML infrastructure with strategic business goals<br>* Drive cloud infrastructure integration using AWS or GCP services, including Kubernetes clusters, managed ML services, and serverless components<br>* Ensure cost efficiency, performance optimization, and adherence to best practices for MLOps and generative AI workflows<br> <br><b>Qualifications and Experience<br></b> <br>* Bachelor s degree in Computer Science, Engineering, or related field (Master s preferred)<br>* Minimum 3 years of experience in ML platform engineering, MLOps, or generative AI infrastructure roles<br>* Expertise in Python, ML frameworks (TensorFlow, PyTorch), and APIs such as Hugging Face and LangChain<br>* Hands-on experience with containerization, orchestration (Docker, Kubernetes), and infrastructure-as-code tools (Terraform, Helm)<br>* Proven ability to build real-time inference pipelines integrated with feature stores and streaming platforms like Kafka or Kinesis<br>* Familiarity with SQL for data processing and knowledge of observability tools for monitoring AI systems<br>* Strong understanding of model optimization techniques including quantization, batching, and prompt-tuning strategies<br><br>

ML Platform Engineer

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