senior ml engineer

Autodesk

<div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div>Job Requisition ID #</div></div></div></div></div></div></div></div></div></div></div></div></div></div></div><div></div>
26WD95860<div></div><div>
Position Overview</div><div></div><div>
We are looking for a Senior Machine Learning Engineer to join the ML team in Bangalore within Autodesk&rsquo;s Growth and Experience Technology (GET) organization. The GET ML team builds measurable AI solutions that power personalization, recommendations, search, and emerging generative AI capabilities across Autodesk&rsquo;s customer journey. As a Senior ML Engineer, you will play a key role in designing and delivering production-grade ML systems that directly impact Autodesk&rsquo;s go-to-market ecosystem. You will help define how machine learning powers personalized experiences for millions of Autodesk customers worldwide.</div><div></div><div>
This role combines deep technical execution with strong product partnership. You will take ownership of complex ML initiatives&mdash;from problem framing and experimentation through production deployment&mdash;while collaborating closely with product, engineering, analytics, and research teams. You will contribute meaningfully to architectural decisions, raise the technical bar of the team, and help shape best practices for applied machine learning in Bangalore.</div><div>
Autodesk follows a hybrid work model. You may work remotely or from an Autodesk office, with periodic travel as business needs require.</div><div></div><div>
Responsibilities</div><ul><li><div>
Design, build, and deploy scalable machine learning systems across personalization, search, recommendations, and retrieval use cases</div></li><li><div>
Develop and evaluate models using robust experimentation frameworks and data-driven methodologies</div></li><li><div>
Own components of end-to-end ML pipelines, including feature engineering, model training, validation, deployment, and monitoring</div></li><li><div>
Write production-quality code and contribute to scalable, maintainable ML infrastructure</div></li><li><div>
Analyze large datasets to extract insights and translate business problems into well-defined ML tasks</div></li><li><div>
Partner closely with product, design, engineering, and analytics teams to deliver solutions with measurable business impact</div></li><li><div>
Participate in code reviews, model reviews, and design discussions to uphold engineering excellence</div></li><li><div>
Contribute to documentation, knowledge sharing, and mentoring junior engineers where appropriate</div></li></ul><div></div><div>
Minimum Qualifications</div><ul><li><div>
Bachelor&rsquo;s or master&rsquo;s Degree in a relevant field such as Computer Science, Data Science, Statistics, or a related quantitative discipline</div></li><li><div>
4+ years of industry experience building and deploying machine learning systems in production environments</div></li><li><div>
Strong hands-on experience across the end-to-end ML lifecycle (data preparation, modeling, evaluation, deployment, monitoring)</div></li><li><div>
Proficiency in Python and common ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn)</div></li><li><div>
Experience working with structured and/or unstructured large-scale datasets</div></li><li><div>
Solid understanding of software engineering best practices (version control, testing, CI/CD)</div></li><li><div>
Collaborative mindset and ability to work effectively in a global team</div></li></ul><div></div><div>
Preferred Qualifications</div><ul><li><div>
MS or PhD in a relevant field</div></li><li><div>
Experience with personalization, recommendation systems, search, or ranking systems</div></li><li><div>
Experience with Generative AI, LLM fine-tuning, prompt engineering, or RAG systems</div></li><li><div>
Experience building or operating ML systems at scale (cloud platforms such as AWS, GCP, or Azure)</div></li><li><div>
Experience with model deployment frameworks or MLOps tools (e.g., MLflow, Kubeflow, SageMaker, Vertex AI)</div></li><li><div>
Familiarity with experimentation platforms (A/B testing, online metrics evaluation)</div></li><li><div>
Ability to communicate technical concepts clearly to cross-functional stakeholders</div></li></ul><div></div><div>
#LI-AK1</div><div></div><div>
Learn More</div><div></div><div>
About Autodesk</div><div>
Welcome to Autodesk! Amazing things are created every day with our software &ndash; from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.</div><div></div><div>
We take great pride in our culture here at Autodesk &ndash; it&rsquo;s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.</div><div></div><div>
When you&rsquo;re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!</div><div></div><div>
Salary transparency</div>
Salary is one part of Autodesk&rsquo;s competitive compensation package. Offers are based on the candidate&rsquo;s experience and geographic location. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.<div></div><div>
Diversity &amp; Belonging<br>
We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: <div>https://www.autodesk.com/company/diversity-and-belonging</div></div><div></div><div>
Are you an existing contractor or consultant with Autodesk?</div><div>
Please search for open jobs and apply internally (not on this external site).</div></div>

Senior ML Engineer

Anblicks

<div><div><b>Role: Senior ML Engineer(Databricks MLOps)</b></div><div><b>
Location: Hyderabad</b></div><div><b>
Experince: 8+ Yrs</b></div><div></div><div><b>
Job Description Summary</b></div><div>
ML Engineer within the Data Science and Machine Learning team leverages and third-party software to create solutions to business problems defined by specific business requirements. In this position, you will draw upon technical, AI/ML engineering, Data and MLOps experience to solve complex marketing analytics problems on very large volumes of data.
</div><div>
</div><div>As a Machine Learning (ML) Engineer You will build and operationalize machine learning pipelines involving terabytes of data. You will have the responsibility to help define requirements, create software designs, implement code to these specifications, As an ML Engineer, you will be expected to:</div><div>
</div><div>
Develop and maintain a comprehensive enterprise architecture for AI/ML/GenAI initiatives, ensuring alignment with overall business strategy and technology roadmap.</div><div>
Architect hyperscale MLOps solutions and pipelines</div><div>
Work with Applied Scientists, Data Scientists, Product owners, ML Engineers, and Software Engineers to design and deliver ML solutions in production at scale.</div><div>
Develop automated AI and ML workflows and end-to-end pipelines for data preparation, training, deployment, monitoring, etc., and ensure the quality of architecture and design of our ML systems and data infrastructure.</div><div>
Leverage AI to develop GenAI powered solutions to complement our data science and product build capabilities</div><div>
Assess current state AI/ML/GenAI capabilities across various business domains, identify gaps, and design target state architectures to drive innovation, revenue growth and operational excellence.</div><div>
Lead transformational initiatives to bridge the gap between current and desired AI/ML capabilities, collaborating with cross-functional teams to ensure successful implementation.</div><div>
Establish governance frameworks and decision criteria for AI/ML and GenAI projects, ensuring adherence to industry standards, regulatory requirements, Responsible AI and architectural principles.</div><div>
Create and maintain reference architectures, patterns, and best practices for AI/ML lifecycle and integration within enterprise ecosystem.</div><div>
Lead the technology evaluation and process improvements to drive Experimentation, Model Development and ML Ops at scale</div><div>
Lead and drive standardization of LLM onboarding process, RAG pipelines and application development</div><div>
Conduct architecture reviews and risk assessments for proposed AI/ML solutions, ensuring they meet security, scalability, and interoperability requirements.</div><div>
Utilize advanced data science techniques (e.g., Natural Language Processing, clustering, predictive analytics, regression analyses, survival analysis, segmentation, and experimentation) to propose enhancements and innovations to business processes.</div><div>
Conduct sophisticated statistical analyses and maintain high reliability of machine learning pipelines in production environments, ensuring minimal downtime and optimal performance.</div><div>
Collaborate with business leaders and product to identify opportunities for AI/ML-driven innovation and guide the development of use cases that deliver tangible business value.</div><div>
Foster a culture of continuous learning and innovation in AI/ML practices across the enterprise architecture team and broader organization.</div><div>
</div><div><b>
BASIC QUALIFICATIONS</b></div><ul><li>8+ of years of experience in enterprise architecture, with a focus on AI/ML integration and transformation projects.
</li><li>6+ years professional experience in software development</li></ul><div>
Bachelor&rsquo;s Degree in Computer Science or Associate Degree &amp; 3+ years of development experience or equivalent experience
</div><ul><li>Computer Science fundamentals in object-oriented design</li><li>Computer Science fundamentals in data structures</li><li>Computer Science fundamentals in algorithm design, problem solving, and complexity analysis</li><li>Knowledge of, at least, one modern programming language such as Python, Java, C++, C, Java, Python or Perl</li></ul><div>
</div><div><b>
PREFERRED QUALIFICATIONS</b></div><div>
8+ years of experience architecting scalable ML infrastructure and big data systems.</div><div>
Databricks Architect Certification is required</div><div>
6+ years of architecting solutions using Databricks. Strong experience using Mosaic AI, Unity Catalogue, mlflow, workflow orchestration and other databricks native MLOps capabilities.</div><div>
At least 1+ year experience in GenAI (Technical familiarity with 2 or more) - OpenAI API, Bedrock API, Vertex API, LangGraph, other agentic frameworks</div><div>
High attention to detail and proven ability to manage multiple, competing priorities simultaneously.</div><div>
Experience MLOps and orchestration tools such as Airflow, Kubeflow, DAGster, Optuna, Mlflow or other similar MLOps tools.</div><div>
Experience with operationalizing and migrating ML models into production at scale.</div><div>
Developing Large scale model inference solutions using parallel execution framework using spark, EMR, databricks</div><div>
Experience developing complex orchestration and MLOps pipelines stitching together large volumes of data for training and scoring</div><div>
Experience with Large Language Models, fine tuning and deployment frameworks using HuggingFace capabilities or cloud provider solutions such as Amazon Bedrock, Vertex AI model garden etc.</div><div>
Familiarity with Vector databases such as Pinecone, ChromaDB or similar tools.</div><div>
Experience in CI/CD/DevOps, Deployment and Automation Tool &ndash; CI/CD, Jenkins, Terraform, Cloud Formation Template or similar</div><div>
Proficiency with Apache Spark, EMR/DataProc and Cloud based tools (Snowflake, Redshift, EMR, Glue, Step Functions, Lambda, Step functions, AWS Batch, or similar etc.).</div><div>
Experience with ML libraries like H20, scikit learn and deep learning frameworks (PyTorch, TensorFlow, etc.).</div><div>
Experience with end-to-end software development and life cycle of ML solutions.</div><div>
Excellence in technical communication with scientists and engineers.</div><div>
At least 2years Database (SQL) experience, Linux</div><div>
At least 6+ years of AWS infrastructure experience - Cloud run, App server, RDS, S3, EC2, EMR or equivalent GCP experience</div><div>
</div><div><b>
What will set you apart:</b></div><div>
Databricks Certification</div><div>
Langgraph, Databricks MLFlow experience, Docker experience, Kubernetes experience</div><div>
Knowledge of LLM observability platforms</div><div>
</div><div>
Good communication skills: communicate ideas clearly and effectively to other members of the analytics team and to the client at multiple levels (both technical and business)</div><div>
Analytic problem-solving skills with the ability to think outside-the-box</div><div>
Analytical thinker that excels at analyzing and understanding data to answer questions</div><div>
Excellent understanding of data concepts, data architecture, data manipulation/engineering, and data engineering design</div><div>
Passion for considering how projects fit into the wider business picture</div><div>
An understanding in multiple types of programming languages in order to be adaptable (statically typed vs. dynamically typed and object-oriented vs. procedural)</div><div>
Self-Starter &ndash; Able to work independently with little guidance</div><div>
Adaptable - Able to adapt to diverse technical challenges and systems</div><div>
Ability to formulate and present insights with gathered data to both technical and non-technical peers, leaders, and clients</div></div><div></div>

Senior ML Engineer (Databricks MLOps)

Flock Safety

<div><h1 class="jobSectionHeader"><b>Who is Flock?</b></h1><p>
Flock Safety is the leading safety technology platform, helping communities thrive by taking a proactive approach to crime prevention and security. Our hardware and software suite connects cities, law enforcement, businesses, schools, and neighborhoods in a nationwide public-private safety network. Trusted by over 5,000 communities, 4,500 law enforcement agencies, and 1,000 businesses, Flock delivers real-time intelligence while prioritizing privacy and responsible innovation.</p><p>
We&rsquo;re a high-performance, low-ego team driven by urgency, collaboration, and bold thinking. Working at Flock means tackling big challenges, moving fast, and continuously improving. It&rsquo;s intense but deeply rewarding for those who want to make an impact.</p><p>
With nearly $700M in venture funding and a $7.5B valuation, we&rsquo;re scaling intentionally and seeking top talent to help build the impossible. If you value teamwork, ownership, and solving tough problems, Flock could be the place for you.</p><p></p><p><b>
The Opportunity</b></p><p>
As a Senior Machine Learning Engineer on the Vision Team, you will support the machine learning model lifecycle that allows our devices to decode evidence like a detective and define how crime is eliminated. You will play a key role in improving model performance and addressing model drift. The ideal candidate is someone who is passionate about taking cutting edge research and technology to solve new problems, and enjoys working with the entire lifecycle of Machine Learning software.</p><p><b>
How you'll make an impact:</b></p><ul><li><p>
Frame open-ended, real-world problems into well defined ML problems</p></li><li><p>
Make use of and improve on existing data acquisition and model training/evaluation pipelines to create appropriate datasets and obtain model feedback</p></li><li><p>
Leverage cutting-edge research and technology to create custom solutions</p></li><li><p>
Design and run experiments to test new ideas or improvements to existing models</p></li><li><p>
Build visualization and monitoring tools to evaluate the quality of our data and models</p></li><li><p>
Collaborate across teams and product to deliver solutions that fit within business and organizational requirements</p></li><li><p>
Review code of other Machine Learning Engineers</p></li></ul><p><b>
The Skillset</b></p><ul><li><p>
6+ years of experience
</p></li><li><p>BS/MS in Computer Science, Mathematics, Physics, Engineering, or proof of equivalent software engineering experience (PhD&rsquo;s welcome)</p></li><li><p>
Experience solving problems using Machine Learning frameworks (Tensorflow, PyTorch, scikit-learn, etc.)</p></li><li><p>
Good understanding of Deep Learning and Traditional ML (supervised and unsupervised) algorithms</p></li><li><p>
Experience writing Python in a team environment</p></li><li><p>
Able to take on complex problems, learn quickly, iterate, and persist towards a good solution</p></li><li><p>
Effectively communicate, at the level of your audience, and seek to understand and be understood</p></li><li><p>
Basic SQL knowledge</p></li><li><p>
Basic Git knowledge</p></li><li><p>
Experience with linear algebra, probability, and statistics preferred</p></li></ul><p><i>
Feeling uneasy that you haven&rsquo;t ticked every box? That&rsquo;s okay; we&rsquo;ve felt that way too. Studies have shown women and minorities are less likely to apply unless they meet all qualifications. We encourage you to break the status quo and apply to roles that would make you excited to come to work every day.</i></p><p></p><p><b>
90 Days at Flock</b></p><p>
We are a results-oriented culture and believe job descriptions are a thing of the past. We prescribe 90 day plans and believe that good days lead to good weeks, which lead to good months. This serves as a preview of the 90 day plan you will receive if you were to be hired in this role at Flock Safety.</p><p><b>
The First 30 Days</b></p><ul><li><p>
Learn our tech stack, internal toolkit, and standard operating procedures for training, evaluating, and deploying our machine learning models</p></li><li><p>
Get to know the technical teams and stakeholder groups you&rsquo;ll be working closely with</p></li><li><p>
Begin making a meaningful impact by adding an incremental improvement to our model evaluation reports</p></li></ul><p><b>
The First 60 Days</b></p><ul><li><p>
Curate our holdout data to improve representation and address certain challenging strata</p></li><li><p>
Improve statistical reporting metrics in our evaluation reports</p></li><li><p>
Get acquainted with downstream repositories that support our predictive capabilities.</p></li></ul><p><b>
90 Days &amp; Beyond</b></p><ul><li><p>
Improve understanding of the impact of data augmentations in our training pipeline.</p></li><li><p>
Introduce new augmentations within our modeling framework</p></li><li><p>
Gauge model robustness by building holdout datasets for various adversarial conditions</p></li><li><p>
Become fully independent within our end-to-end training and deployment pipeline</p></li></ul><p><b>
Salary &amp; Equity</b></p><p>
In this role, you&rsquo;ll receive a starting salary between $160,000 and $175,000 as well as Flock Safety Stock Options. Base salary is determined by job-related experience, education/training, as well as market indicators. Your recruiter will discuss this in-depth with you during our first chat.</p><p><b>
Location</b></p><p>
We&rsquo;re building the impossible, together. To drive innovation through in-person collaboration, we&rsquo;re prioritizing candidates in our key hubs: Atlanta, Boston, Chicago, Denver, Los Angeles, New York City, San Francisco, and Austin. While we value the energy of our hub communities, we embrace remote work and welcome applications from exceptional talent across the United States.</p><p></p><p><b>
The Perks</b></p><p><b>
Flexible PTO</b>: We offer non-accrual PTO, plus 11 company holidays.</p><p><b>
Fully-paid </b><b>health benefits</b><b> plan for employees</b>: including Medical, Dental, and Vision and an HSA match.</p><p><b>
Family Leave</b>: All employees receive 12 weeks of 100% paid parental leave. Birthing parents are eligible for an additional 6-8 weeks of physical recovery time.</p><p><b>
Fertility &amp; Family Benefits: </b>We have partnered with Maven, a complete digital health benefit for starting and raising a family. Flock will provide a $50,000-lifetime maximum benefit related to eligible adoption, surrogacy, or fertility expenses.</p><p><b>
Spring Health: </b>Spring Health offers a variety of mental health benefits, including therapy, coaching, medication management, and digital tools, all tailored to each individual's needs.</p><p><b>
Caregiver Support:</b> We have partnered with Cariloop to provide our employees with caregiver support</p><p><b>
Carta Tax Advisor:</b> Employees receive 1:1 sessions with Equity Tax Advisors who can address individual grants, model tax scenarios, and answer general questions.</p><p><b>
ERGs:</b> We want all employees to thrive and feel like they belong at Flock. We offer four ERGs today - Women of Flock, Flock Proud, LEOs and Melanin Motion. If you are interested in talking to a representative from one of these, please let your recruiter know.</p><p><b>
WFH Stipend:</b> $150 per month to cover the costs of working from home.</p><p><b>
Productivity Stipend:</b> $300 per year to use on Audible, Calm, Masterclass, Duolingo and so much more.</p><p><b>
Home Office Stipend:</b> A one-time $750 to help you create your dream office.</p><p><i>
If an offer is extended and accepted, this position requires the ability to obtain and maintain Criminal Justice Information Services (CJIS) certification as a condition of employment. Applicants must meet all FBI CJIS Security Policy requirements, including a fingerprint-based background check.</i></p><p><i>
Flock is an equal opportunity employer. We celebrate diverse backgrounds and thoughts and welcome everyone to apply for employment with us. We are committed to fostering an environment that is inclusive, transparent, and collaborative. Mutual respect is central to how Flock operates, and we believe the best solutions come from diverse perspectives, experiences, and skills. We embrace our differences and know that we are stronger working together.</i></p><p><i>
If you need assistance or an accommodation due to a disability, please email us at recruiting@flocksafety.com. This information will be treated as confidential and used only to determine an appropriate accommodation for the interview process.</i></p><p><i>
At Flock Safety, we compensate our employees fairly for their work. Base salary is determined by job-related experience, education/training, as well as market indicators. The range above is representative of base salary only and does not include equity, sales bonus plans (when applicable) and benefits. This range may be modified in the future. This job posting may span more than one career level.
</i></p><p><i>Flock Safety is aware of fraudulent individuals and agencies falsely claiming to represent our company. All legitimate communication from Flock Safety will come from an email address ending in </i><b><i>@</i></b><b><i>flocksafety.com</i></b><i>. We do not make job offers through messaging apps, social platforms, or unauthorized third parties, and we will never request payment or sensitive personal information during the hiring process. If you encounter suspicious outreach related to a Flock Safety role, please report it to </i><i>recruiting@flocksafety.com</i></p><p>
Compensation Range: $160K - $175K</p></div>

Senior ML Engineer, Enrichment

BT Group

<div><div><div><div><div><h1 class="jobSectionHeader"><b>Senior ML Ops Engineer
</b></h1></div></div></div></div><div><div><div><div>Job Req ID: 56202
</div></div></div></div><div><div><div><div>Posting Date: 20 Feb 2026
</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><p><b>Recruiter: Sowmya Reddy</b></p>
<p><b>
Hiring Manager: Julian Burns</b></p>
<p><b>
Career Grade: D</b></p>
<p><b>
Internal Closing Date: 26th February, 26</b></p><div><div><div><h2 class="jobSectionHeader"><b>
Why this job matters</b></h2>
</div><div><p>
At BT, we&rsquo;re transforming how data, machine learning, and AI drive our business and customer experiences. As a Senior ML Engineer, you&rsquo;ll play a pivotal role in industrialising ML and AI across BT, collaborating with diverse teams to deliver scalable, secure, and high-impact solutions.</p>
<p>
You&rsquo;ll architect and automate robust ML/AI pipelines&mdash;formulate real-time APIs and batch systems that scale, solving operational challenges like zero-downtime model updates, drift monitoring, incident response, and automated retraining, while ensuring systems are secure, cost-efficient, compliant, and smoothly transitioned into support.</p>
<p>
You&rsquo;ll accelerate ML productionisation by building infrastructure and tooling that enable data scientists to deploy models reliably, ensuring they work smoothly in production. As a senior figure in the ML Engineering team, you&rsquo;ll provide guidance, solve deployment challenges, and help business units realise value from AI initiatives faster.</p>
<p>
BT offers myriad opportunities to learn, develop, and expand your network. Continuous learning is essential&mdash;you&rsquo;ll be encouraged to keep your skills sharp, explore new tools, and share knowledge with the team. Cross-training on parallel platforms is available for those with strong experience translating ML and LLM experiments into enterprise-scale production systems.</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>What we are looking for from you</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 and/or GCP (Architect, Engineering, or ML) are highly desirable.</li>
<li>5+ years in ML/AI engineering, including a minimum of 3+ years of hands-on experience in MLOps.</li>
<li>Deep expertise in at least one major cloud platform (AWS, GCP); 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</li>
<li>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><br>
<p></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><br>
<p></p>
<p><b>
DON'T MEET EVERY SINGLE REQUIREMENT?</b></p><br>
<p></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>

Senior ML Ops Engineer

HR Ways

<p>We're hiring an <b>Senior AI/ML Engineer (Karachi - Onsite)</b></p><p><b>Role Overview</b></p><p>This role is ideal for a <b>Lead Software Engineer with 7+ years of experience</b> in software development, especially in autonomous AI agents and LLM frameworks like LangChain, LangGraph, or AutoGPT, and a track record of leading teams of 5-8 engineers. As we scale our capabilities in AI, ML, CV, LLM applications, and agentic AI systems, you will play a key role in enhancing our delivery processes, optimizing engineering performance, and ensuring technical excellence while leading high-performing teams.</p><p><b>What You'll Do:</b></p><ul><li>Design and develop Agentic AI applications using LLM frameworks (LangChain, LangGraph, LangSmith, Semantic Kernel, or similar)</li><li>Architect and implement multi-agent systems for enterprise-grade solutions</li><li>Integrate AI agents with APIs, databases, internal tools, and external SaaS products</li><li>Lead and mentor a cross-functional team across global time zones</li><li>Optimize performance, context retention, tool usage, and cost efficiency</li><li>Build reusable pipelines and modules to support GenAI use cases at scale</li><li>Ensure enterprise-grade security, privacy, and compliance standards in deployments</li><li>Collaborate directly with clients and senior stakeholders</li></ul><p>Required Skills</p><ul><li>7+ years of professional experience in software engineering and AI/ML</li><li>2-3 years of practical experience in LLM-based application development</li><li>Strong track record of delivering Agentic AI systems (not just chatbots)</li><li>Hands-on experience with:</li><li>LangGraph, LangChain, ReAct, Semantic Kernel</li><li>OpenAI, Claude, Gemini, Mistral, or Llama models</li><li>Worked with any one voice agents such as Elevenlabs, Vapi, LiveKit</li><li>Embedding models, vector databases (Qdrant, Pinecone, Weaviate, etc.)</li><li>Prompt engineering, RAG, memory/context engineering</li><li>Serverless, Python, Node.js, AWS/GCP/Azure cloud</li><li>Experience leading engineering teams of 5-8 people and working with clients</li><li>Excellent communication, documentation, and stakeholder management skills</li></ul><p><b>Core Competencies:</b></p><ul><li>AI-Enhanced Problem-Solving: Combining human logic with AI assistance for complex challenges</li><li>Attention to Detail: High code quality and precision in AI-assisted implementation</li><li>AI Workflow Integration: Efficiently incorporating AI tools into the development process</li><li>Communication: Clear technical communication and collaboration skills</li><li>Learning Agility: Quick adaptation to new AI tools and development methodologies</li><li>Time Management: Leveraging AI to manage multiple projects efficiently</li></ul><p><b>Preferred Qualifications</b></p><ul><li>Experience with AI-powered development workflows</li><li>Knowledge of prompt engineering for coding assistance</li><li>Prompt engineering and AI model interaction</li><li>LangChain framework familiarity</li><li>Agentic AI and autonomous system concepts</li><li>FastAPI advanced features (async, dependency injection, middleware)</li><li>Bachelors degree in computer science or equivalent experience</li></ul><p><b>What We Offer</b></p><ul><li>AI Tools Allowance: Company-provided subscriptions to premium AI coding tools</li><li>Performance Bonuses: performance-based incentives</li><li>Professional Growth: Learning sessions for AI and development</li><li>Compensation: Competitive Salary packages along with additional perks</li><li>Diverse and Innovative Projects: Opportunity to contribute to a variety of forward-thinking projects across industries.</li></ul><p><b>Experience: 5-7 yrs of experience</b></p><p><b>Work Mode: Full Time onsite</b></p><p><b>Work Days: Mon to Fri</b></p><p><b>Work Timings: 12 PM - 9 PM</b></p><p><b>Location: Gulshan-e-Iqbal, Karachi.</b></p><p>Job Type: Full-time</p><p>Work Location: In person</p>

Senior AI/ML Engineer

Brillio LLC

<div><h1 class="jobSectionHeader"><b>Senior AI/ML Engineer - R01558791</b></h1>
<p></p><div><b>Senior Data Engineer</b></div><h6 class="jobSectionHeader"><b>
Primary Skills</b></h6><ul><li>
Hypothesis Testing, T-Test, Z-Test, Regression (Linear, Logistic), Python/PySpark, SAS/SPSS, Statistical analysis and computing, Probabilistic Graph Models, Great Expectation, Evidently AI, Forecasting (Exponential Smoothing, ARIMA, ARIMAX), Tools(KubeFlow, BentoML), Classification (Decision Trees, SVM), ML Frameworks (TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet), Distance (Hamming Distance, Euclidean Distance, Manhattan Distance), R/ R Studio
</li></ul><h6 class="jobSectionHeader"><b>Specialization</b></h6><ul><li>
Data Science Advanced: Data Specialist
</li></ul><h6 class="jobSectionHeader"><b>Job requirements</b></h6><ul><li>
Agentic AI</li></ul></div><p></p>

Senior AI/ML Engineer – R01558791

Nexthink

<div><b>Company Description</b><p><br>
Nexthink is the leader in digital employee experience management software. The company provides IT leaders with unprecedented insight allowing them to see, diagnose and fix issues at scale impacting employees anywhere, with any application or network, before employees notice the issue. As the first solution to allow IT to progress from reactive problem solving to proactive optimization, Nexthink enables its more than 1,300 customers to provide better digital experiences to more than 18 million employees. Dual headquartered in Lausanne, Switzerland and Boston, Massachusetts, Nexthink has 9 offices worldwide.</p><p>
#LI-Hybrid</p><b><br>
Job Description</b><p><br>
Are you passionate about AI and eager to drive innovation in a fast-paced, impact-driven environment? Do you have experience developing AI-powered applications and enjoy mentoring others? If so, we invite you to join Nexthink as a <b>Senior</b> <b>AI &amp; ML Engineer</b>!</p><p>
As a senior member of the AI team, you will drive architectural decisions, establish best practices, and deliver robust, scalable AI systems, with a strong focus on AI-powered and agentic applications in production environments.</p><p><b>
Responsibilities</b></p><ul><li><b>
Lead AI Development</b> &ndash; Own the end-to-end design, development, and operation of production-grade AI/ML solutions, including ML and NLP models, LLM, RAG, and multi-agent systems. Make key architectural decisions across model selection, training strategies, retrieval mechanisms, orchestration layers, and infrastructure.</li><li><b>
AI done right </b>&ndash; Create evaluations and define metrics of success using cutting edge AI platforms.</li><li><b>
MLOps</b> - <b>Implement and manage MLOps practices to streamline the deployment, monitoring, and maintenance of models and in production environments.</b></li><li><b>
Collaboration &amp; Leadership</b> &ndash; Work closely with software engineers, data scientists, and product teams to align AI capabilities with business needs.</li><li><b>
Mentorship &amp; Coaching</b> &ndash; Guide and support more junior AI engineers, fostering a culture of learning and knowledge sharing.</li></ul><br>
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Qualifications</b><br>
<ul><li>
Bsc/Master&rsquo;s degree in Computer Science, Machine Learning, Data Science, or a related field.</li><li>
Hands-on experience in LLM-powered production applications or ML/NLP applications.</li><li>
Strong proficiency in Python and AI frameworks</li><li>
Strong understanding of machine learning fundamentals (supervised/unsupervised learning, optimization, model evaluation).</li><li>
Solid experience with NLP systems (text classification, embeddings, retrieval systems, semantic search, etc.).</li><li>
Hands-on MLOps experience: reproducible pipelines, experiment tracking, automated evaluation, monitoring, CI/CD for models and AI artifacts.</li><li>
Solid understanding of AI model fine-tuning, optimization, and evaluation.</li><li>
Proven experience with AWS and cloud-based AI deployments.</li><li>
Strong communication skills in English, capable of explaining complex AI concepts to technical and non-technical stakeholders - we believe in learning by sharing</li><li>
Knowledge of reinforcement learning, retrieval-augmented generation (RAG), and multi-agent AI architectures.</li><li>
Strong data intuition: ability to inspect raw logs, design metrics and quickly identify quality regressions</li><li>
Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment.</li></ul><p></p><p><b><br>
Strong Plus</b></p><ul><li>
Strong AWS (or equivalent cloud platform) experience for scalable AI infrastructure.</li><li>
Experience optimizing models for latency, throughput, and cost.</li><li>
Experience fine-tuning large language models.</li><li>
Familiarity with multi-agent systems and orchestration frameworks.</li><li>
Experience designing AI systems in enterprise or B2B environments.</li></ul><p></p><p><br>
 If you&rsquo;re excited about pushing the boundaries of AI and mentoring the next generation of engineers, we&rsquo;d love to hear from you! <b>Even if you don&rsquo;t meet every requirement, we encourage you to apply&mdash;we value expertise, passion, and the drive to learn.</b></p><b><br>
Additional Information</b><p><br>
We are the pioneers and trailblazers of a global IT Market Category (DEX) that is shaping the future of how the world works, giving our customers&rsquo; IT Teams total digital visibility across their enterprise. Our innovative solutions integrate real-time analytics, automation, and employee feedback across all endpoints. This enables our IT teams to solve complex technical challenges, create ever more productive workplaces, and deliver happy, satisfied employees in the digital workplace.</p><p>
With over 1000 employees across 5 continents, Nexthink operates as One Team, connecting, collaborating and innovating to continuously grow. We call our employees &lsquo;Nexthinkers&rsquo; and our commitment to diversity, inclusion, and equity is second to none. We currently have over 75 nationalities working with us, from all cultures and backgrounds, speaking many different languages.</p><p>
If you are looking for a change and like a nice atmosphere, lots of challenges, and having fun while working, this is a great opportunity for you! Check what we offer:</p><ul><li><p>
Permanent Contract and a competitive compensation package.</p></li><li><p>
Health insurance through our partnership with ACKO, including OPD coverage for dental, vision, health check-ups, consultations, and pharmacy expenses.</p></li><li><p>
Hybrid work model balancing office and remote work, with a structured approach for new hires to foster connections and onboarding.</p></li><li><p>
️ Flexible Hours and unlimited vacation (employees have unlimited paid time off on top of the 22 days of holidays we offer). Plus, company-paid bank holidays (12), sick days (10-30), bereavement leave (5), and 3 days per year for volunteering.</p></li><li><p>
Free access to professional training platforms to explore your interests and enhance your skills.</p></li><li><p>
️ Stay covered against accidents, bodily injuries, and disabilities with our personal accident insurance policy, providing assurance with coverage up to three times your annual CTC.</p></li><li><p>
New mothers are entitled to up to 26 weeks of maternity leave, with the flexibility to use up to 8 weeks before the expected delivery and the remaining 18 weeks after. Birth fathers can take 6 weeks of paternity leave, while adoptive parents are eligible for 26 weeks of leave for mothers and 6 weeks for fathers.</p></li><li><p>
Under the Payment of Gratuity Act, receive gratuity at the rate of 15 days of basic pay for every completed year of service, provided you've been employed by the company for a minimum of 5 years. Gratuity is payable at retirement or resignation based on your last drawn basic pay.</p></li><li><p>
 Bonuses for referring successful hires after three months of continuous employment.</p></li></ul><p>
Please note that not all the benefits listed above are available for temporary, contract, and internship roles. To ensure you have the most up-to-date information, we recommend checking with your Recruitment Partner.</p></div>

Senior AI & ML Engineer

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