associate engineer

engineer

manufacturing engineer

process engineer

qa engineer

ml engineer

HDFC Bank

<div>
 
 
 Job Purpose:
 
 
 
 An experienced AI/ML Engineer to design, develop and maintain AI / ML and GenAI based solutions on enterprise platform on Industry best and open-source models at scale along with governance and security frameworks
 
 
 
 
 
 
 Desired Skills :
 
 
 <ul>
 <li>
 Strong background in designing and implementing machine learning and deep learning algorithms and responsible AI practices at enterprise scale and speed
 </li>
 <li>
 Working knowledge with ML platforms like TensorFlow, PyTorch, or Hugging Face
 </li>
 <li>
 Proficiency in Training, Tuning and Deploying GenAI models based on LLMs, GANs, and VAEs
 </li>
 <li>
 Hands on expert in programming languages like Python, Java, or C++, and have experience with cloud platforms, containerization technologies (e.g., Docker, Kubernetes), and data pipeline tools (e.g., Apache Kafka, Spark)
 </li>
 <li>
 Experience working in cross-functional teams
 </li>
 <li>
 Strong analytical and problem solving skills
 </li>
 </ul>
</div>

AI/ML Engineer

MakeMyTrip

<div>
 MakeMyTrip data science group is looking for experienced Data Scientists and ML Engineers who would focus on building the next level of AI/ML personalization, ranking, recommendation systems, pricing systems, reinforcement learning/bandit experimentation platform with click stream, customer, entities, and text data.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Build and deploy state-of-the-art ML/deep learning models for use cases in hotels, Flights, cross-selling, Ad notification, and a few other problems that straddle across multiple lines of business.
 </li>
 <li>
 Contribute to ML contextual bandit/RL platforms or pricing systems, or causal/uplift (CATE) models, or train advanced recommendation models with representation learning.
 </li>
 <li>
 Based on your capability, you may take up end-to-end responsibility for complex applied DS projects.
 </li>
 <li>
 Discuss with stakeholders at various stages of the project, for data, to select an appropriate model form, and to set up an appropriate A/B experimentation framework.
 </li>
 <li>
 Opportunity to work with high-volume click-stream e-commerce data.
 </li>
 <li>
 Build and own robust model infrastructure pipelines and API meeting 99% SLA at very high RPS.
 </li>
 <li>
 Opportunity to transform data at MMT into a tangible business impact through data science.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Strong Python programming skills.
 </li>
 <li>
 End-to-end experience of training and deploying machine learning models.
 </li>
 <li>
 Strong machine learning and statistical foundation.
 </li>
 <li>
 Ideally, but not mandatory, have trained and debugged deep learning models with tabular datasets, have trained representations/embeddings with content (text or image) for downstream tasks, or trained with user behaviour (click stream) data.
 </li>
 <li>
 Experience working with large datasets using Spark, Hadoop, or AWS Athena/Redshift (SQL).
 </li>
 <li>
 ML engineers should have experience in CI/CD, Docker, RestAPI, and ideally Spark or Kafka/Flink streaming.
 </li>
 <li>
 Strong problem-solving and conceptual thinking abilities.
 </li>
 <li>
 Ability to work in a fast-paced and deadline-driven environment.
 </li>
 <li>
 Experience working in the e-commerce domain is a plus.
 </li>
 <li>
 BE/BTech from Tier 1 colleges (IIT/ISI/NIT/BITS/BIT/IT/REC) in Computer Science/Statistics/IT/ECE stream.
 </li>
 <li>
 MS or PhD in Applied AI, Advanced deep learning, Applied Mathematics, Applied Statistical Modelling, Computer Science, Advanced econometrics programs, or equivalent.
 </li>
 <li>
 1-3 years of work experience, which should include a minimum of 2 years of experience in Data Science.
 </li>
 </ul>
</div>

Sr. Data Scientist - I

Tide

<div>
 
 About Tide
 
 
 
 At Tide we help SMEs save time (and money) in the running of their businesses by not only offering business accounts and related banking services, but also a comprehensive set of highly usable and connected administrative solutions from invoicing to accounting.
 
 
 Tide is transforming the small business banking market with over 1.6 million members globally across the UK, India, Germany and France. Using advanced technology, all solutions are designed with SMEs in mind. With quick onboarding, low fees and innovative features, we thrive on making data-driven decisions to help SMEs save both time and money.
 
 
 
 Tide Facts
 
 
 
 <ul>
 <li>
 Tide is available for UK, Indian, German and French SMEs
 </li>
 <li>
 Over 1.6 million members: 800,000 UK and 800,000 in India and growing rapidly
 </li>
 <li>
 Over $200 million raised in funding
 </li>
 <li>
 Over 2500 Tideans globally - we&rsquo;re diversity champions!
 </li>
 <li>
 We have offices in Central London, with a member support and technology centre in Sofia, Bulgaria, technology centres in Serbia, Romania, Lithuania and Hyderabad and offices in Gurugram and New Delhi, India
 
 
 </li>
 </ul>
 
 About The Role
 
 
 
 As a ML Engineer you&rsquo;ll be:
 
 
 <ul>
 <li>
 Working closely with product owners, other backend (Java &amp; Python) engineers, data scientist and other business members to translate requirements into well-engineered solutions
 </li>
 <li>
 Architect, design, test, implement, deploy, monitor and maintain end-to-end backend services. You build it, you own it mentality.
 </li>
 <li>
 Integrate already trained ML models in some of the services you develop.
 </li>
 <li>
 Work with people from other teams and departments on a day to day basis to ensure efficient project execution with a focus on delivering value to our members.
 </li>
 <li>
 Regularly aligning your team&rsquo;s vision and roadmap with the target architecture within your domain and to ensure the success of complex multi domain initiatives
 
 
 </li>
 </ul>
 
 What We Are Looking For
 
 
 
 <ul>
 <li>
 You have 4+ years of experience as a Backend Python Engineer (Senior/Lead)
 </li>
 <li>
 You have understanding of software engineering fundamentals (OOP, SOLID, etc.)
 </li>
 <li>
 You have hands-on experience with frameworks such as Django, FastAPI or Flask
 </li>
 <li>
 You have extensive experience integrating with or creating REST APIs
 </li>
 <li>
 You have experience with creating and maintaining CI/CD pipelines - we use GitHub Actions.
 </li>
 <li>
 You have experience with event-driven architectures
 </li>
 <li>
 You have experience with AWS
 </li>
 <li>
 (Great to have) Experience with Databricks, ML feature store solutions, Kafka (or other message brokers)
 
 
 </li>
 </ul>
 OUR TECH STACK
 
 (You don&rsquo;t have to excel in all, but willing to learn them):
 
 
 
 <ul>
 <li>
 Databricks on AWS
 </li>
 <li>
 Python Flask
 </li>
 <li>
 Snowflake
 </li>
 <li>
 Tecton - feature store
 </li>
 <li>
 Fiddler - model observability platform
 
 
 </li>
 </ul>
 
 What You Will Get In Return
 
 
 
 <ul>
 <li>
 Self &amp; Family Health Insurance
 </li>
 <li>
 Term &amp; Life Insurance
 </li>
 <li>
 OPD Benefits
 </li>
 <li>
 Mental wellbeing through Plumm
 </li>
 <li>
 Learning &amp; Development Budget
 </li>
 <li>
 WFH Setup allowance
 </li>
 <li>
 15 days of Privilege leaves
 </li>
 <li>
 12 days of Casual leaves
 </li>
 <li>
 12 days of Sick leaves
 </li>
 <li>
 3 paid days off for volunteering or L&amp;D activities
 </li>
 <li>
 Stock Options
 
 
 </li>
 </ul>
 
 Tidean Ways Of Working
 
 
 
 At Tide, we champion a
 
 flexible workplace
 
 model that supports both in-person and remote work to cater to the specific needs of our different teams.
 
 
 While remote work is supported, we believe in the power of face-to-face interactions to foster team spirit and collaboration. Our offices are designed as hubs for innovation and team-building, where we encourage regular in-person gatherings to foster a strong sense of community.
 
 
 TIDE IS A PLACE FOR EVERYONE
 
 
 At Tide, we believe that we can only succeed if we let our differences enrich our culture. Our Tideans come from a variety of backgrounds and experience levels. We consider everyone irrespective of their ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity or differently-abled status. We celebrate diversity in our workforce as a cornerstone of our success. Our commitment to a broad spectrum of ideas and backgrounds is what enables us to build products that resonate with our members&rsquo; diverse needs and lives.
 
 
 We are One Team and foster a transparent and inclusive environment, where everyone&rsquo;s voice is heard.
 
 
 
 At Tide, we thrive on diversity, embracing various backgrounds and experiences. We welcome all individuals regardless of ethnicity, religion, sexual orientation, gender identity, or disability. Our inclusive culture is key to our success, helping us build products that meet our members' diverse needs. We are One Team, committed to transparency and ensuring everyone&rsquo;s voice is heard.
 
 
 
 
 Disclaimer
 
 
 
 It Has Come To Our Attention That Individuals Or Agencies Are Falsely Claiming To Represent Tide And Are Reaching Out To Candidates Regarding Job Opportunities. Please Be Aware That
 
 
 <ul>
 <li>
 Tide does not charge any fees at any stage of the recruitment process.
 </li>
 <li>
 All official Tide job opportunities are listed exclusively on our Careers Page and applications should be submitted through this channel.
 </li>
 <li>
 Communication from Tide will only come from an official @tide.co email address.
 </li>
 <li>
 Tide does not work with agencies or recruiters without prior formal engagement, and we do not authorize third parties to make job offers on our behalf.
 
 
 </li>
 </ul>
 
 If you are contacted by anyone misrepresenting Tide or requesting payment, please treat it as fraudulent and report it to us immediately at talent@tide.co
 
 
 Your safety and trust are important to us, and we are committed to ensuring a fair and transparent recruitment process.
 
 
 
 
 
 Tide leverages AI to enhance our hiring experience. You can read more about how we use AI in our recruitment process in our AI Policy.
 
 
 
 
 
 
 Your personal data will be processed by Tide for recruitment purposes and in accordance with
 
 
 Tide's Recruitment Privacy Notice
 
 
 .
 
 
 
 
</div>

Senior Engineer, Python (Data & AI)

Cisco

<div>
 
 Meet the Team
 
 
 
 You will be a member of Cisco Nexus Dashboard Solutions team
 
 
 <ul>
 <li>
 Cisco Nexus Dashboard is an excellent platform with integrated controller, orchestrator, analytics and assurance packages. Customer growth in last 2 years has been phenomenal.
 </li>
 <li>
 we work on cutting edge applications and there is ample creative liberty for developers to explore and adopt new technologies available as we adopt more AI coding suites and are developing solutions for or new AI based ethernet data centers.
 </li>
 <li>
 we have a plethora of different modules like telemetry collectors, ingestion pipelines, analytics pre and post processors, ML based engines, AI solutions, Integations for Vcenter, Slurm, openshift, kubernetes
 </li>
 <li>
 Folks will get ample opportunities to problem solving in scaled, distributed performance oriented applications with these techonlogies;
 </li>
 <ul>
 <li>
 KAfka, ELastic, Mongo, open telemetry, Gpb, Gnmi, grpc, ML models, Nvidia tech stack in GPU servers, golang, python software environments - you name it we have that technology adopted
 </li>
 </ul>
 <li>
 we focus on problem solving for our customers who have deployed our data centers
 </li>
 <li>
 Key drivers of growth for Cisco Data centers
 
 </li>
 </ul>
 Recent results tell us that our DC solutions for AI infrastructure support powered by Nvidia GPUs is growing at double digit growth numbers yoy.
 
 
 <ul>
 <li>
 AI infrastructure demand: The rise of generative AI is creating a massive demand for high-bandwidth networking, which Cisco is positioned to supply through its AI-ready infrastructure solutions.
 </li>
 <li>
 Cloud repatriation: Many organizations are moving certain applications back to private data centers after cloud migrations, a trend known as "cloud repatriation".
 </li>
 <li>
 On-premises AI initiatives: The need to support new on-premises AI workloads is a top driver for organizations to expand their physical data center footprints.
 </li>
 <li>
 Data center modernization: Cisco is helping customers modernize their data centers with new technologies like the Nexus 9000 series switches and UCS X-Series servers, which offer greater performance and
 
 
 </li>
 </ul>
 
 Your Impact
 
 
 
 <ul>
 <li>
 You will be responsible for crafting, building our next generation applications to configure, manage, monitor, troubleshooting data centres on Cisco Nexus Dashboard platform.
 </li>
 <li>
 Define the standards, processes, best-practice guidelines and provide a common set of components for developing and deploying microservices on our Insights On-Prem environments.
 </li>
 <li>
 Develop scalable microservices for the data centre automation workflows
 </li>
 <li>
 Develop analytics solutions to ingest, post-process and visualize large amounts of telemetry data streamed from data centre switches
 </li>
 <li>
 Develop creative solutions for troubleshooting data centres
 </li>
 <li>
 Develop ML/statistical model-based solutions to predict network related data patterns
 </li>
 <li>
 Develop Gen AI based solutions to help create highly effective troubleshooting applications
 </li>
 <li>
 Communicate and collaborate effectively with cross functional teams, technical marketing teams, product teams and internal partners on deployment topics in general, and the merits of our system in particular.
 
 
 </li>
 </ul>
 
 Minimum Qualifications
 
 
 
 <ul>
 <li>
 2+ years of related work experience is required in microservices software architecture, crafting, building, and debugging large scale distributed systems.
 </li>
 <li>
 Programming languages: Go, C++, Python
 </li>
 <li>
 Proven expertise in data structures, algorithms, Kafka, Elastic search, mongo db, gen AI, AI/ML technologies
 </li>
 <li>
 software design with strong analytical and debugging skills
 </li>
 <li>
 Familiar with agile practices, and believes in test driven development
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Programming languages: Go, C++, Python, React(optional)
 </li>
 <li>
 Proven expertise in Microservices, distributed architecture, system design for large scale services built for scale and performance
 </li>
 <li>
 Proven experience in data structures, algorithms, Problem solving
 </li>
 <li>
 Proven experience in message queueing technologies like Kafka, rabbitMq ( atleast one)
 </li>
 <li>
 Proven experience in No-sql distributed DB&rsquo;s like Elastic search, mongo, (atleast one)
 </li>
 <li>
 Proven expertise in software design with strong analytical and debugging skills
 </li>
 <li>
 Familiar with agile practices, and believes in test driven development
 </li>
 <li>
 Develop ML/statistical model-based solutions to predict network related data patterns
 </li>
 <li>
 Familiarity with Gen AI applications, Agentic AI is a plus
 
 
 </li>
 </ul>
 Why Cisco?
 
 
 At Cisco, we&rsquo;re revolutionizing how data and infrastructure connect and protect organizations in the AI era &ndash; and beyond. We&rsquo;ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.
 
 
 Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you&rsquo;ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.
 
 
 We are Cisco, and our power starts with you.
</div>

Software Engineer --- Golang/Java with Microservices/Kubernetes --- Experience (2-4 Yrs)

Walmart Global Tech India

<div>
 Position Summary...
 
 
 
 Job Summary
 
 
 
 As a Staff Data Scientist, you'll have the opportunity to
 
 
 <ul>
 <li>
 Drive data-derived insights across a wide range of retail divisions by developing advanced statistical models, machine learning algorithms and computational algorithms based on business initiatives
 </li>
 <li>
 Direct the gathering of data, assess data validity and synthesize data into large analytics datasets to support project goals
 </li>
 <li>
 Lead a team of Data Scientists to solve problems in Store operations domain using advanced Machine Learning and Gen AI.
 </li>
 <li>
 Utilize big data analytics and advanced data science techniques to identify trends, patterns, and discrepancies in data. Determine additional data needed to support insights
 </li>
 <li>
 Build and train AI/ML models for replication for future projects
 </li>
 <li>
 Deploy and maintain the data science solutions
 </li>
 <li>
 Communicate recommendations to business partners and influence future plans based on insights
 
 
 </li>
 </ul>
 What you'll do...
 
 
 
 About The Team
 
 
 
 International Data Science team at Walmart Global Tech is focused on using the latest research in machine learning, statistics and optimization to solve business problems in assortment, pricing, sourcing, customer, supply chain, and replenishment areas for multiple countries within Walmart&rsquo;s global operations. We mine data, distill insights, extract information, build analytical models, deploy Machine Learning algorithms, and use the latest algorithms and technology to empower business decision-making. We work with engineers to build reference architectures and machine learning pipelines in a big data ecosystem to productize our solutions. Advanced analytical algorithms driven by our team will help Walmart to optimize business operations, business practices and change the way our customers shop.
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Consult with business stakeholders regarding algorithm-based recommendations and be a thought-leader to develop these into business actions.
 </li>
 <li>
 Guides data scientists and senior data scientists across the domain DS team to ensure on-time delivery of ML products
 </li>
 <li>
 Lead multiple complex ML products and guide senior tech leads in the domain in efficiently leading their products.
 </li>
 <li>
 Proactive identification of complex business problems that can be solved using advanced ML and Generative AI, finding opportunities and gaps in the current business domain
 </li>
 <li>
 Evaluates proposed business cases for projects and initiatives
 </li>
 <li>
 Translates business requirements into strategies, initiatives, and projects and aligns them to business strategy and objectives, and drives the execution of deliverables
 </li>
 <li>
 Sets relevant deliverables based on the established success criteria and define key metrics to measure progress and effectiveness of the solution
 </li>
 <li>
 Quantifies business impact and ensures regular impact measurement of all ML products in the domain.
 </li>
 <li>
 Identifies and reviews model evaluation metrics based on analytical requirements
 </li>
 <li>
 Ensures testing information is documented and maintained by the team
 </li>
 <li>
 Play a key role to solve complex problems, pivotal to Walmart's business and drive actionable insights
 </li>
 <li>
 Utilize product mindset to build, scale and deploy holistic data science products after successful prototyping
 </li>
 <li>
 Demonstrate incremental solution approach with agile and flexible ability to overcome practical problems
 </li>
 <li>
 Articulate and present recommendations to business partners and influence plans based on insights
 </li>
 <li>
 Partner and engage with associates in other regions for delivering the best services to customers around the globe
 </li>
 <li>
 Work with the customer-centric mindset to deliver high-quality business-driven analytic solutions.
 </li>
 <li>
 Drive innovation in approach, method, practices, process, outcome, delivery, or any component of end-to-end problem solving
 </li>
 <li>
 Proactively engages in the external community to build Walmart's brand and learn more about industry practices
 </li>
 <li>
 Promote and support company policies, procedures, mission, values, and standards of ethics and integrity
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Bring
 
 
 
 <ul>
 <li>
 Bachelor's with &gt; 10 years /Masters &gt; 8 years /Ph.D. in Comp Science/Statistics/Mathematics/Quantitative discipline with &gt; 5 years of relevant experience. Educational qualifications should be Computer Science/Statistics/Mathematics or a related area.
 </li>
 <li>
 Ability to lead data science projects end to end.
 </li>
 <li>
 Strong experience in machine learning, supervised and unsupervised: NLP, Classification, Data/Text Mining, Multi-modal supervised and unsupervised models, Neural Networks, Deep Learning Algorithms, Generative AI models.
 </li>
 <li>
 Experience in analyzing complex problems and translating them into analytical solutions.
 </li>
 <li>
 Strong experience in Computer Vision, image processing, object detection, Deep learning. Exposure to image features, edge detection, blur, sharpness, corner detection, face detection, knowledge of how image data is represented.
 </li>
 <li>
 Knowledge of Deep learning, CNNs, and components of CNNs, loss functions for classification, object detection, segmentation.
 </li>
 <li>
 Experience in machine learning: Classification models, regression models, NLP, Forecasting, Unsupervised models, Optimization, Recommendation models, deep-learning, Graph ML, Causal inference, Causal ML, Statistical Learning, experimentation
 </li>
 <li>
 Ability to utilize data science solutions outcomes to drive predictive and prescriptive analytics.
 </li>
 <li>
 Experience with big data analytics - identifying trends, patterns, and outliers in large volumes of data
 </li>
 <li>
 Ability to scale and deploy data science solutions.
 </li>
 <li>
 Experience in LLMs, VLMs, embedding generation from multimodal data, storage and retrieval from Vector Databases, set-up and provisioning of managed LLM gateways, development of Retrieval augmented generation based LLM agents, model selection, iterative prompt engineering and finetuning based on accuracy and user-feedback, monitoring and governance.
 </li>
 <li>
 Strong Experience in Python, PySpark, OpenCV, Python, C++, Keras, tensorflow, pytorch, big data platforms like Hadoop
 </li>
 <li>
 Google Cloud platform, Vertex AI, Kubeflow, model deployment, Kafka streaming, API development &amp; deployment, CI/CD, MLOPs
 
 
 </li>
 </ul>
 
 Additional Preferred Qualifications:
 
 
 
 <ul>
 <li>
 Published papers or given talks in leading academic and research journals
 </li>
 <li>
 Published papers or given talks in Data Science Forums
 </li>
 <li>
 Hold data science related patents
 </li>
 <li>
 Experience with GPU/CUDA for computational efficiency
 
 
 </li>
 </ul>
 
 About Walmart Global Tech
 
 
 
 Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That&rsquo;s what we do at Walmart Global Tech. We&rsquo;re a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world&rsquo;s leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered.
 
 
 We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail.
 
 
 
 
 Walmart&rsquo;s culture sets us apart, and we know being together helps us innovate, learn and grow great careers. This role is based in our Bangalore office for daily work, with the flexibility for associates to manage their personal lives.
 
 
 
 
 
 Benefits
 
 
 
 Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include a host of best-in-class benefits maternity and parental leave, PTO, health benefits, and much more.
 
 
 
 Equal Opportunity Employer
 
 
 
 Walmart, Inc. is an Equal Opportunity Employer &ndash; By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing diversity- unique styles, experiences, identities, ideas and opinions &ndash; while being inclusive of all people.
 
 
 
 Minimum Qualifications...
 
 
 
 
 
 Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
 
 
 
 
 Minimum Qualifications:Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 years' experience in an analytics or related field.
 
 
 
 Preferred Qualifications...
 
 
 
 
 
 Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
 
 
 
 
 
 Primary Location...
 
 
 
 BLOCK- 2, PRESTIGE TECH PACIFIC PARK, SY NO. 38/1P, OUTER RING ROAD KADUBEESANAHALLI, , India R-2361300
</div>

(IND) STAFF, DATA SCIENTIST

Amazon

<div>
 
 Description
 
 
 
 Amazon&rsquo;s Last Mile Team is looking for a passionate individual with strong machine learning and GenAI engineering skills to join its Last Mile Science team in the endeavor of designing and improving the most complex planning of delivery network in the world.
 
 
 Last Mile builds global solutions that enable Amazon to attract an elastic supply of drivers, companies, and assets needed to deliver Amazon's and other shippers' volumes at the lowest cost and with the best customer delivery experience. Last Mile Science team owns the core decision models in the space of jurisdiction planning, delivery channel and modes network design, capacity planning for on the road and at delivery stations, routing inputs estimation and optimization. Our research has direct impact on customer experience, driver and station associate experience, Delivery Service Partner (DSP)&rsquo;s success and the sustainable growth of Amazon.
 
 
 Optimizing the last mile delivery requires deep understanding of transportation, supply chain management, pricing strategies and forecasting. Only through innovative and strategic thinking, we will make the right capital investments in technology, assets and infrastructures that allows for long-term success. Our team members have an opportunity to be on the forefront of supply chain thought leadership by working on some of the most difficult problems in the industry with some of the best product managers, scientists, and software engineers in the industry.
 
 
 Key job responsibilities
 
 
 Candidates will be responsible for developing solutions to better manage and optimize delivery capacity in the last mile network. The successful candidate should have solid research experience in one or more technical areas of Machine Learning or Large Language Models. These positions will focus on identifying and analyzing opportunities to improve existing algorithms and also on optimizing the system policies across the management of external delivery service providers and internal planning strategies. They require superior logical thinkers who are able to quickly approach large ambiguous problems, turn high-level business requirements into mathematical models, identify the right solution approach, and contribute to the software development for production systems. To support their proposals, candidates should be able to independently mine and analyze data, and be able to use any necessary programming and statistical analysis software to do so. Successful candidates must thrive in fast-paced environments, which encourage collaborative and creative problem solving, be able to measure and estimate risks, constructively critique peer research, and align research focuses with the Amazon's strategic needs.
 
 
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 2+ years of data scientist experience
 </li>
 <li>
 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
 </li>
 <li>
 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
 </li>
 <li>
 Experience applying theoretical models in an applied environment
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience in Python, Perl, or another scripting language
 </li>
 <li>
 Experience in a ML or data scientist role with a large technology company
 
 
 </li>
 </ul>
 Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.
 
 
 
 
 Company
 
 - ADCI - Karnataka
 
 
 Job ID: A3108909
</div>

Date Scientist II, Last Mile

CareerXperts Consulting

<div>
 
 
 About the Role
 
 
 
 
 
 
 Identify, engage, and hire top-tier AI talent with CareerXperts Consulting. You&rsquo;ll work on high-impact roles across
 
 AI, ML, Data Science, LLMs, MLOps, and frontier-tech
 
 , partnering closely with fast-growing startups and global engineering teams.
 
 
 If you&rsquo;re a tech-savvy recruiter with 2 to 5 years of experience and a strong curiosity for AI, emerging tools, and deep-tech problem-solving, this role is built for you.
 
 
 
 
 
 
 What You&rsquo;ll Do
 
 
 
 
 
 <ul>
 <li>
 Source, evaluate, and close exceptional talent across AI, ML, LLMs, Data, MLOps, and Research roles.
 </li>
 <li>
 Own the full hiring lifecycle from outreach and screening to candidate management and closing.
 </li>
 <li>
 Partner directly with founders, CTOs, and engineering leaders to decode complex mandates.
 </li>
 <li>
 Build deep and meaningful candidate relationships while maintaining a consistent experience.
 </li>
 <li>
 Draft precise job descriptions that reflect actual technical expectations.
 </li>
 <li>
 Use AI-powered sourcing and screening tools to boost efficiency and quality.
 </li>
 <li>
 Track funnel metrics and drive improvements across sourcing, qualification, and conversion.
 </li>
 <li>
 Stay updated on trends in GenAI, model engineering, data infra, and scaling systems.
 </li>
 </ul>
 
 
 
 
 
 Who You Are
 
 
 
 
 
 <ul>
 <li>
 2 to 5 years of experience in tech recruitment (experience hiring AI talent is a strong plus).
 </li>
 <li>
 Strong understanding of roles like ML Engineer, Applied Scientist, LLM Engineer, Research Engineer, Data Scientist, MLOps Engineer, and more.
 </li>
 <li>
 Ability to converse intelligently with technical candidates about models, data pipelines, and engineering frameworks.
 </li>
 <li>
 Curiosity-driven mindset with an interest in AI tools, research developments, and emerging technologies.
 </li>
 <li>
 Strong communication skills and the ability to evaluate both skill and intent.
 </li>
 <li>
 Comfortable working in a high-ownership, fast-paced environment.
 </li>
 <li>
 Based in Bengaluru or currently residing in Bengaluru (preferred).
 </li>
 </ul>
 
 
 
 
 
 Why Join CareerXperts
 
 
 
 
 
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 Work closely with AI-first startups, deep-tech ventures, and global product teams.
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 Build expertise in niche technical hiring across advanced AI roles.
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 High-impact work where every successful hire moves a company forward.
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 Learn directly from senior recruiters and founders who have closed some of the toughest mandates in the ecosystem.
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 Growth-oriented, performance-driven culture.
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AI & Deep-Tech Recruiter - Scaling Startup Teams

Explore 131+ Ml engineer in Mangaluru this December. Find roles across top companies and apply now to boost your career.