senior machine learning engineer

Global It Success

<p>Job Title: Senior Machine Learning Engineer</p><p>Company Overview:</p><p>We are a forward-thinking technology company focused on developing innovative AI and Machine Learning solutions that drive real-world impact. Our team works on high-scale data systems, predictive modeling, and cutting-edge AI applications.</p><p>Location: Janakpuri<br/>Required: 3+ years</p><p>Employment Type: Full-time</p><p>Key Responsibilities:</p><p>Design, develop, and deploy scalable machine learning models for production systems.</p><p>Lead end-to-end ML projects including data collection, preprocessing, model training, evaluation, and optimization.</p><p>Collaborate with data scientists, software engineers, and product teams to integrate ML models into production pipelines.</p><p>Research and experiment with new ML algorithms, frameworks, and tools to improve system performance.</p><p>Optimize existing models for latency, scalability, and accuracy.</p><p>Maintain and monitor deployed models using MLOps best practices.</p><p>Mentor junior engineers and contribute to code reviews and technical discussions.</p><p>Required Skills and Qualifications:</p><p>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, or a related field.</p><p>Strong programming skills in Python (and libraries such as TensorFlow, PyTorch, scikit-learn, NumPy, pandas).</p><p>Hands-on experience with LLMs, NLP, Computer Vision, or Predictive Analytics.</p><p>Deep understanding of machine learning algorithms, model evaluation, and data structures.</p><p>Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools (Docker, Kubernetes, MLflow, Kubeflow).</p><p>Familiarity with SQL/NoSQL databases and data engineering pipelines.</p><p>Strong problem-solving and analytical skills with attention to detail.</p><p>Excellent communication and leadership abilities.</p><p>---</p><p>Preferred Qualifications:</p><p>Experience working with Generative AI, RAG systems, or LangChain/LangGraph.</p><p>Exposure to big data technologies like Spark or Hadoop.</p><p>Experience in leading cross-functional AI projects or teams.</p><p>Job Type: Full-time</p><p>Work Location: In person</p>

Senior Machine Learning Engineer

Sumo Logic

<div><h2 class="jobSectionHeader"><b>Senior Machine Learning Engineer I</b></h2>
<p>
The proliferation of machine log data has the potential to give organizations unprecedented real-time visibility into their infrastructure and operations. With this opportunity comes tremendous technical challenges around ingesting, managing, and understanding high-volume streams of heterogeneous data</p>
<p>
As a <b>Machine Learning Engineer</b>, you'll build the intelligence behind the next generation of <b>agentic AI systems</b> that reason over massive, heterogeneous log data. You'll combine machine learning, prompt engineering, and rigorous evaluation to create autonomous AI agents that help organizations understand and act on their data in real time.</p>
<p>
You'll be part of a small, high-impact team shaping how AI agents understand complex machine data. This is an opportunity to work on cutting-edge LLM infrastructure and contribute to defining best practices in context engineering and AI observability.</p>
<h4 class="jobSectionHeader"><b>
Responsibilities</b></h4>
<ul><li><b>Design, implement, and optimize</b> agentic AI components including context engineering, memory management, and prompts.</li>
<li><b>Develop and maintain</b> golden datasets by defining sourcing strategies, working with data vendors, and ensuring quality and representativeness at scale.</li>
<li><b>Prototype and evaluate</b> novel prompting strategies and reasoning chains for model reliability and interpretability.</li>
<li><b>Collaborate cross-functionally</b> with product, data, and infrastructure teams to deliver end-to-end AI-powered insights.</li>
<li><b>Operate autonomously</b> in a fast-paced, ambiguous environment - defining scope, setting milestones, and driving outcomes.</li>
<li><b>Ensure reliability, performance, and observability</b> of deployed agents through rigorous testing and continuous improvement.</li>
<li><b>Maintain a strong bias for action</b>&mdash;delivering incremental, well-tested improvements that directly enhance customer experience.</li>
</ul>
<p><b>Required Qualifications</b></p>
<ul>
<li>B.Tech, M.Tech, or Ph.D. in Computer Science, Data Science, or a related field.</li>
<li>4-6 years of hands-on industry experience with demonstrable ownership and delivery.</li>
<li>Strong understanding of machine learning fundamentals, data pipelines, and model evaluation.</li>
<li><b>Proficiency in Python</b> and ML/data libraries (NumPy, pandas, scikit-learn); familiarity with JVM languages is a plus.</li>
<li>Working knowledge of <b>LLM core concepts</b>, prompt design, and <b>agentic design patterns</b>.</li>
<li>Strong communication skills and a passion for shaping emerging AI paradigms.</li>
</ul>
<p><b>Desired Qualifications</b></p>
<ul>
<li>Prior experience <b>building and deploying AI agents</b> or LLM applications in production.</li>
<li>Familiarity with modern <b>agentic AI frameworks</b> (e.g., LangGraph, LangChain, CrewAI).</li>
<li>Experience with <b>ML infrastructure and tooling</b> (PyTorch, MLflow, Airflow, Docker, AWS).</li>
<li>Exposure to <b>LLM Ops</b> - infrastructure optimization, observability, latency, and cost monitoring.</li>
</ul><h2 class="jobSectionHeader"><b>About Us</b></h2>
<p>
Sumo Logic, Inc. empowers the people who power modern, digital business. Sumo Logic enables customers to deliver reliable and secure cloud-native applications through its Sumo Logic SaaS Analytics Log Platform, which helps practitioners and developers ensure application reliability, secure and protect against modern security threats, and gain insights into their cloud infrastructures. Customers worldwide rely on Sumo Logic to get powerful real-time analytics and insights across observability and security solutions for their cloud-native applications. For more information, visit www.sumologic.com.</p></div>

Fiftyfive technologies

<div><h3 class="jobSectionHeader"><b>Job Description</b></h3><div>
We are looking for a <b>Senior Machine Learning Engineer</b> with 4&ndash;7 years of experience in developing and deploying cutting-edge AI solutions. The ideal candidate should have hands-on expertise in large and small language models, vector and graph databases, retrieval-augmented generation (RAG) techniques, and experience with building agentic AI systems.</div><div>
</div><h3 class="jobSectionHeader"><b>
Key Responsibilities</b></h3><ul><li>
Design, develop, fine-tune, and deploy ML/AI models, especially LLMs (Large Language Models), SLMs (Small Language Models), and VLLMs.</li><li>
Work on advanced RAG architectures, including Knowledge-based RAG and Graph-based RAG techniques.</li><li>
Engineer high-quality prompts and chain-of-thought logic for agentic AI systems.</li><li>
Implement model optimization strategies such as fine-tuning, pruning, and distillation.</li><li>
Integrate vector databases (e.g., FAISS, Pinecone, Weaviate) and graph databases (e.g., Neo4j, TigerGraph) into scalable AI pipelines.</li><li>
Collaborate with data scientists to transform ML prototypes into production-grade software applications.</li><li>
Design and maintain APIs and ML microservices for real-time and batch inference.</li><li>
Ensure model performance, reliability, and security in production environments.</li><li>
Contribute to the development of AI-driven intelligent agents and decision-making systems.</li></ul><h3 class="jobSectionHeader"><b>
Required Skills &amp; Experience</b></h3><ul><li>
4&ndash;7 years of experience in Machine Learning, with a strong focus on LLMs and applied NLP.</li><li>
Hands-on experience with:</li><li>
VLLMs, LLMs, SLMs</li><li>
Knowledge-based RAG, Graph-based RAG</li><li>
Prompt Engineering and Prompt Optimization</li><li>
Model Fine-tuning and Distillation techniques</li><li>
Vector Databases (e.g., FAISS, Pinecone)</li><li>
Graph Databases (e.g., Neo4j, TigerGraph)</li><li>
Agentic AI design and development</li><li>
Strong programming skills in Python; experience with libraries such as Hugging Face Transformers, LangChain, PyTorch, or TensorFlow.</li><li>
Familiarity with MLOps tools and frameworks for deployment and monitoring.</li><li>
Experience integrating AI models into production-grade software systems.</li><li>
Excellent problem-solving, communication, and collaboration skills.</li></ul><h3 class="jobSectionHeader"><b>
Preferred Qualifications</b></h3><ul><li>
Master&rsquo;s or Bachelor&rsquo;s degree in Computer Science, Artificial Intelligence, or a related field.</li><li>
Experience working in client-facing roles or international projects.</li><li>
Understanding of cloud platforms (AWS, GCP, or Azure) for ML model deployment.</li></ul></div><div></div>

GoDaddy

<div><div><ul><li>R022477
</li></ul></div><div><ul><li>Gurugram, Haryana, India
</li></ul></div><div></div><div><ul><li>Engineering
</li></ul></div><div><ul><li>Regular</li></ul></div></div><div></div>
<br><div><p><b>Location Details:</b><b> Gurugram, India</b></p>
<p>
At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.
</p><p><b>Hybrid:</b> This is a hybrid position. You&rsquo;ll divide your time between working remotely from your home and an office, so you should live within commuting distance. Hybrid teams may work in-office as much as a few times a week or as little as once a month or quarter, as decided by leadership. The hiring manager can share more about what hybrid work might look like for this team.</p>
<p><b>
Join our Team&hellip;</b></p>
<p>
If you are passionate about machine learning and want to make a difference for millions of small businesses, join our DnAI (Data and Artificial Intelligence) team at GoDaddy as a Senior Machine Learning Engineer. You will have the opportunity to enable modern machine learning models and Generative AI solutions to build intelligent software that delight our customers. You will work with highly skilled scientists in building comprehensive solutions to challenging business problems in customer experience, personalization; as well as tackle technical problems in model evaluation, simulation and more.</p>
<p><b>
What you'll get to do...</b></p>
<ul>
<li>Implement and scale advanced machine learning algorithms, including building intelligent software using Large Language Models (AI Agents).</li>
<li>Experiment with and deploy efficient model inference techniques.</li>
<li>Build, deploy and maintain model serving APIs for real-time and batch use cases.</li>
<li>Assess, build and curate comprehensive evaluations for open-ended Generative AI problems.</li>
<li>Collaborate with multi-functional teams to integrate ML solutions within broader product and platform initiatives.</li>
<li>Drive the exploration and adoption of modern ML technologies to maintain our competitive edge in the industry.</li>
</ul>
<p><b>Your experience should include...</b></p>
<ul>
<li>4+ years of experience in machine learning related roles.</li>
<li>Solid understanding of machine learning algorithms, tools, and techniques, such as supervised and unsupervised learning, deep learning, computer vision, natural language processing, etc.</li>
<li>Must have familiarity with AI assisted coding tools like Cursor, Claude Code or VS Code.</li>
<li>Skilled in Python programming language with knowledge of software engineering guidelines, including version control, code review, CI/CD, etc.</li>
<li>Proficiency with prompt engineering and LLMs, along with experience in building and scaling APIs.</li>
</ul>
<p><b>You might also have...</b></p>
<ul>
<li>Degree in computer science, engineering, statistics, or related fields, with 4+ years of experience in machine learning related roles.</li>
<li>Experience in fine-tuning models and optimizing inference.</li>
<li>Experience in crafting comprehensive evaluations and verification methods.</li>
<li>Proficiency in Typescript is a plus.</li>
</ul>
<p><b>We've got your back...</b><b> </b>We offer a range of total rewards that may include paid time off, retirement savings (e.g., 401k, pension schemes), bonus/incentive eligibility, equity grants, participation in our employee stock purchase plan, competitive health benefits, and other family-friendly benefits including parental leave. GoDaddy&rsquo;s benefits vary based on individual role and location and can be reviewed in more detail during the interview process.</p>
<p>
We also embrace our diverse culture and offer a range of Employee Resource Groups (Culture). Have a side hustle? No problem. We love entrepreneurs! Most importantly, come as you are and make your own way.</p>
<p><b>
About us... </b>GoDaddy is empowering everyday entrepreneurs around the world by providing the help and tools to succeed online, making opportunity more inclusive for all. GoDaddy is the place people come to name their idea, build a professional website, attract customers, sell their products and services, and manage their work. Our mission is to give our customers the tools, insights, and people to transform their ideas and personal initiative into success. To learn more about the company, visit About Us.</p>
<p>
At GoDaddy, we know diverse teams build better products&mdash;period. Our people and culture reflect and celebrate that sense of diversity and inclusion in ideas, experiences and perspectives. But we also know that&rsquo;s not enough to build true equity and belonging in our communities. That&rsquo;s why we prioritize integrating diversity, equity, inclusion and belonging principles into the core of how we work every day&mdash;focusing not only on our employee experience, but also our customer experience and operations. It&rsquo;s the best way to serve our mission of empowering entrepreneurs everywhere, and making opportunity more inclusive for all. To read more about these commitments, as well as our representation and pay equity data, check out our Diversity and Pay Parity annual report which can be found on our Diversity Careers page.</p>
<p><i>
GoDaddy is proud to be an equal opportunity employer</i><i>. </i><i>GoDaddy will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements.</i> <i>Refer to our full</i> <i>EEO policy.</i></p>
<p>
Our recruiting team is available to assist you in completing your application. If they could be helpful, please reach out to myrecruiter@godaddy.com.</p>
<p><b>
GoDaddy doesn&rsquo;t accept unsolicited resumes from recruiters or employment agencies.</b></p></div>

BT Group

<div><div><div><div><div><h1 class="jobSectionHeader"><b>Senior Machine Learning Engineer
</b></h1></div></div></div></div><div><div><div><div>Job Req ID: 52184
</div></div></div></div><div><div><div><div>Posting Date: 15 Oct 2025
</div></div></div></div><div><div><div><div>Function: Data &amp; AI
</div></div></div></div><div><div><div><div>Unit: Digital
</div></div></div></div><div><div><div><div>Location:
RMZ Ecoworld, Devarabeesanahal, Bengaluru, India
</div></div></div></div><div><div><div><div>Salary: Competitive
</div></div></div></div><div></div><div><div><div><div><div><div><div><h2 class="jobSectionHeader"><b>Why this job matters</b></h2>
</div><div><p>
BT has set out on of one of the largest data transformation programmes in the UK in partnership with Google. Our business units have incredibly rich data sets that are evolving rapidly as we look to deliver the next generation of Digital products and services to our customers. It doesn&rsquo;t matter where we look there is not a unit or process that will not benefit from using Data &amp; Analytics, from simple management information reports through to interactive &amp; proactive marketing messages provided to support key business applications through our single version of the truth.</p>
<p>
Key to this transformation is the creation of a data fabric for which BT has selected Ab Initio as its core technology. BT&rsquo;s vision of the data fabric is a self-service technology which supports the safe movement and consolidation of BT&rsquo;s data at scale, through activated meta-data and automated policy enforcement. This role will be responsible for architecting new Data Fabric pattern, triaging new Data Fabric demand and performing assurance for data integration solutions.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
What you&rsquo;ll be doing</b></h2>
</div><div><ul><li>Lead, mentor, and develop you engineering team, fostering a culture of learning and collaboration.</li><li>Architect and build on BT&rsquo;s MLOps stacks for fast, safe, and scalable ML/GenAI delivery with clear FinOps guardrails.</li><li>Design and implement production-grade ML/AI infrastructure, championing reusable patterns and best practices with Data Scientists, support, and engineering teams.</li><li>Embed FinOps, security, and data privacy into every stage of the ML/AI lifecycle.</li><li>Work closely with data scientists, engineers, and stakeholders to accelerate research-to-production using robust engineering practices and AI coding tools.</li><li>Define support strategies for long-term model health, including SLOs, drift monitoring, and feedback loops.</li><li>Lead deployment of LLM and GenAI services on platforms like Amazon Bedrock and Google Vertex AI.</li><li>Design and translate infrastructure for GenAI applications: vector databases, embeddings, retrieval/RAG, model gateways, GPU management, observability, and cost monitoring.</li><li>Promote experiment tracking and model management tools (e.g., Weights &amp; Biases).</li><li>Ensure strong software engineering practices: code review, testing, documentation, and version control.</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
Skills and Experience Required</b></h2>
</div><div><ul><li>Bachelor&rsquo;s degree, MSc, or equivalent in Computer Science, Engineering, Mathematics, or related field.</li><li>Professional certifications in AWS, GCP, or Azure (Architect, Engineering, or ML) are highly desirable.</li><li>5+ years in ML/AI engineering, cloud engineering, or MLOps (or 3+ years with exceptional impact).</li><li>Deep expertise in at least one major cloud platform (AWS, GCP, or Azure); knowledge of Vertex AI or equivalent required.</li><li>Proven experience building, debugging, and deploying ML pipelines for large-scale, high-throughput, low-latency applications.</li><li>Production-level fluency managing components in Python, Docker, and deploying ML/AI services (e.g., FastAPI). Supporting skills in SQL and advanced use of Terraform, Pulumi, or AWS CDK.</li><li>Advanced expertise in CI/CD pipelines (GitLab CI, GitHub Actions) and MLOps pipelining services (Kubeflow, TFX, Kedro, or MLflow).</li><li>Practical experience deploying LLMs and other AI models, with understanding of sourcing, performance, quantization, batching, inference service management, metrics, and design trade-offs.</li><li>Demonstrated experience managing FinOps, security, and data privacy in ML/AI systems.</li><li>Proven ability to work directly with data scientists, stakeholders, and as part of Agile squads.</li><li>Experience leading, mentoring, and developing a positive engineering team culture.</li><li>Personal commitment to continuous learning and professional development.</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
Our leadership standards</b></h2>
</div><div><p><b>
Looking in:</b><br>
<b>Leading inclusively and Safely</b><br>
I inspire and build trust through self-awareness, honesty and integrity.<br>
<b>Owning outcomes</b><br>
I take the right decisions that benefit the broader organisation.</p>
<p><b>Looking out:</b><br>
<b>Delivering for the customer</b><br>
I execute brilliantly on clear priorities that add value to our customers and the wider business.<br>
<b>Commercially savvy</b><br>
I demonstrate strong commercial focus, bringing an external perspective to decision-making.</p>
<p><b>Looking to the future:</b><br>
<b>Growth mindset</b><br>
I experiment and identify opportunities for growth for both myself and the organisation.<br>
<b>Building for the future</b><br>
I build diverse future-ready teams where all individuals can be at their best.</p></div></div></div><p><b>
About us</b></p>
<p>
BT Group was the world&rsquo;s first telco and our heritage in the sector is unrivalled. As home to several of the UK&rsquo;s most recognised and cherished brands &ndash; BT, EE, Openreach and Plusnet, we have always played a critical role in creating the future, and we have reached an inflection point in the transformation of our business.<br>
<br>
Over the next two years, we will complete the UK&rsquo;s largest and most successful digital infrastructure project &ndash; connecting more than 25 million premises to full fibre broadband. Together with our heavy investment in 5G, we play a central role in revolutionising how people connect with each other.<br>
<br>
While we are through the most capital-intensive phase of our fibre investment, meaning we can reward our shareholders for their commitment and patience, we are absolutely focused on how we organise ourselves in the best way to serve our customers in the years to come. This includes radical simplification of systems, structures, and processes on a huge scale. Together with our application of AI and technology, we are on a path to creating the UK&rsquo;s best telco, reimagining the customer experience and relationship with one of this country&rsquo;s biggest infrastructure companies.<br>
<br>
Change on the scale we will all experience in the coming years is unprecedented. BT Group is committed to being the driving force behind improving connectivity for millions and there has never been a more exciting time to join a company and leadership team with the skills, experience, creativity, and passion to take this company into a new era.</p><br>
<p></p>
<p><b>
A FEW POINTS TO NOTE:</b></p><br>
<p></p>
<p>
Although these roles are listed as full-time, if you&rsquo;re a job share partnership, work reduced hours, or any other way of working flexibly, please still get in touch.</p>
<p>
We will also offer reasonable adjustments for the selection process if required, so please do not hesitate to inform us.</p>
<p><b>
DON'T MEET EVERY SINGLE REQUIREMENT?</b></p>
<p>
Studies have shown that women and people who are disabled, LGBTQ+, neurodiverse or from ethnic minority backgrounds are less likely to apply for jobs unless they meet every single qualification and criteria. We're committed to building a diverse, inclusive, and authentic workplace where everyone can be their best, so if you're excited about this role but your past experience doesn't align perfectly with every requirement on the Job Description, please apply anyway - you may just be the right candidate for this or other roles in our wider team.</p></div></div></div></div></div><p></p>

EPAM Systems

<div><p>We are seeking a <b>Senior Machine Learning Engineer</b> to design and maintain conversational interfaces using the Dialogflow platform.</p><p>
You will apply your skills in Python and prompt engineering for large language models to build advanced chatbots and virtual assistants. Your expertise will be key in integrating these solutions with backend systems and enhancing user interactions. Join us to contribute to innovative conversational AI projects and advance your career in machine learning engineering.</p><p><b>
Responsibilities</b></p><ul><li>
Investigate existing engine implementations and propose integration methods with Seller Assistant</li><li>
Design and develop conversational user interfaces using Dialogflow</li><li>
Write and maintain natural language understanding intents and entities using Python</li><li>
Integrate Dialogflow with backend systems and APIs leveraging Python libraries</li><li>
Develop custom fulfillment functions in Python to manage complex user requests</li><li>
Engineer prompts for large language models to improve conversational quality</li><li>
Collaborate with cross-functional teams to ensure seamless system integration</li><li>
Test and debug conversational applications to ensure optimal performance</li><li>
Document development processes and maintain code repositories</li></ul><p><b>
Requirements</b></p><ul><li>
3+ years of experience in machine learning engineering with a focus on conversational AI</li><li>
Proven background in developing chatbots or virtual assistants using various platforms</li><li>
Skills in natural language processing and machine learning concepts</li><li>
Proficiency in Python programming for developing conversational applications</li><li>
Knowledge of Google Cloud Platform services and tools</li><li>
Capability to engineer prompts for large language models</li><li>
Strong written and verbal English communication skills (B2+)</li></ul><p><b>
We offer</b></p><ul><li>
CONTINUOUS UPSKILLING, LEARNING &amp; DEVELOPMENT<ul><li>
Diversity of tasks and projects</li><li>
Assessment center for objective review of competency level</li><li>
Personal development plan</li><li>
Mentoring programs and leadership development</li><li>
Certification and professional development support</li><li>
Access to learning platforms including more than 2,500 internal courses and the LinkedIn Learning library with 20,000+ courses</li><li>
English courses taught by certified teachers</li></ul></li><li>
CORPORATE BENEFITS<ul><li>
Extra leave days</li><li>
Referral bonuses</li></ul></li><li>
COMPENSATION PACKAGE<ul><li>
Competitive compensation paid in USD</li><li>
Regular salary and performance reviews</li></ul></li><li>
MEDICAL &amp; HEALTHCARE<ul><li>
Private health insurance</li><li>
Well-being events</li></ul></li><li>
WORKING ENVIRONMENT<ul><li>
Recreation areas and kitchens</li><li>
Tea, coffee, and snacks</li><li>
Well-being events</li><li>
Sports equipment and game consoles</li><li>
IT Equipment</li><li>
Microsoft's Software Assurance Home Use Program (HUP)</li></ul></li></ul><p><i>
EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.</i></p></div>

Senior Machine Learning Engineer (Dialogflow)

EarnIn

<div><div><h3 class="jobSectionHeader"><b>About EarnIn</b></h3>
<p>
As one of the first pioneers of earned wage access, our passion at EarnIn is building products that deliver real-time financial flexibility for those with the unique needs of living paycheck to paycheck. Our community members access their earnings as they earn them, with options to spend, save, and grow their money without mandatory fees, interest rates, or credit checks.</p>
<p>
We're fortunate to have an incredibly experienced leadership team, combined with world-class funding partners like A16Z, Matrix Partners, DST, Ribbit Capital, and a very healthy core business with a tremendous runway. We're growing fast and are excited to continue bringing world-class talent onboard to help shape the next chapter of our growth journey.</p></div><div>
<p><b>
POSITION SUMMARY</b></p>
<p>
As a Fintech company where Machine Learning (ML) is a key feature, our operations rely heavily on machine learning models across business decisions and customer experiences. Therefore, ensuring the health and scalability of our machine learning systems is critical.</p>
<p>
To guarantee the success of machine learning systems, work needs to be done to transform ML models into high-performance, production-level code. This includes not only implementing sophisticated machine learning algorithms but also robustness monitoring, system logging/alarming, and DevOps. This position will be hybrid from our Bengaluru office, as part of our expanding site. EarnIn provides excellent employee benefits, including healthcare, internet/cell phone reimbursement, a learning and development stipend, and opportunities to collaborate with and travel to our Palo Alto HQ and Bangkok Site. Our salary ranges are determined by role, level, and location.</p>
<b>
WHAT YOU'LL DO</b>
<ul><li>Design, build, and launch efficient and reliable machine learning (ML) models to drive business impact</li>
<li>Train and validate state-of-the-art multi-modal, multi-task deep learning models as well as statistical models, considering use-case, complexity, performance, and robustness</li>
<li>Demonstrate end-to-end understanding of applications and develop a deep understanding of the &quot;why&quot; behind our models &amp; systems</li>
<li>Partner with product managers, tech leads, and stakeholders to analyze business problems, clarify requirements, and define the scope of the systems needed</li>
<li>Work closely with data platform teams to enable robust, scalable batch and real-time data pipelines</li>
<li>Drive high ML and engineering standards on the team through mentoring and knowledge sharing. Drive engineering best practices around code reviews, automated testing and monitoring</li>
</ul>
<p><b>WHAT WE'RE LOOKING FOR</b></p>
<ul>
<li>MS degree or PhD degree in Computer Science or a related technical field</li>
<li>4+ years of experience in ML engineering</li>
<li>Strong programming skills in Python and data engineering skills</li>
<li>Extensive knowledge of machine learning algorithms</li>
<li>Hands-on experience on architectural patterns for large-scale software applications</li>
<li>Industry experience building and productionizing machine learning systems</li>
<li>Strong oral and written communication skills</li>
<li>Experience in NLP or CV is a plus</li>
</ul></div><div>#LI-Hybrid</div><div><p>
At EarnIn, we believe that the best way to build a financial system that works for everyday people is by hiring a team that represents our diverse community. Our team is diverse not only in background and experience but also in perspective. We celebrate our diversity and strive to create a culture of belonging. EarnIn does not unlawfully discriminate based on race, color, religion, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, national origin, ancestry, citizenship, age, physical or mental disability, legally protected medical condition, family care status, military or veteran status, marital status, registered domestic partner status, sexual orientation, genetic information, or any other basis protected by local, state, or federal laws. EarnIn is an E-Verify participant.</p>
<p>
EarnIn does not accept unsolicited resumes from individual recruiters or third-party recruiting agencies in response to job postings. No fee will be paid to third parties who submit unsolicited candidates directly to our hiring managers or HR team.</p></div></div>

Search 10000+ Senior machine learning engineer jobs near you this October. New roles added regularly across leading industries. Apply today.

10000 senior machine learning engineer jobs NEAR_ME

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer (Dialogflow)

Senior Machine Learning Engineer