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manager, software engineering

data ml program manager product operations

Apple

<div>
 
 Summary
 
 
 
 Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other&rsquo;s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It&rsquo;s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you&rsquo;ll do more than join something &mdash; you&rsquo;ll add something.
 
 
 Join Apple, and help us leave the world better than we found it. Product Operations group is looking to add a Data and Machine Learning Program Manager to support data systems, automation, machine learning, tools that enhance manufacturing of Apple's products. This team is made up of creative innovators and problem solvers who tackle unique challenges to ideate, create POCs and deliver new solutions in the data space. It takes deeply dedicated, intelligent and hard-working individuals to maintain and exceed the high expectations for the exciting products at Apple.
 
 
 The Product Operations Data Team is looking for an extraordinary Program manager to join our team. You will craft, design and implement our machine learning strategy to the massive supply chain and help build the future of our manufacturing systems. Do you love using your creative left brain and structured, tactical right brain to drive projects to build systems, innovate with ML/analytics, and find operations efficiencies.
 
 
 
 Description
 
 
 
 In this role you will be responsible for planning and managing deployment of various business solutions for the Product Operations organization. We lead and participate in efforts for process standardization, ideation and development of tools, and implementation through successful completion.
 
 
 <ul>
 <li>
 Lead the ideation, prototyping, and business justification/validation of solutions for Product Ops
 </li>
 <li>
 Work closely with engineering teams on technical development and deployment of high-quality solutions
 </li>
 <li>
 Lead the definition and execution of scalable solutions to support core internal customer needs and to improve process efficiencies
 </li>
 <li>
 Process re-engineering or build out enhancements
 </li>
 <li>
 Identify inefficient process and help enable better decisions leveraging data, AI, Machine Learning or all 3 together
 </li>
 <li>
 Prototype solutions before providing recommendations on directions. e.g. create dashboard mock-ups before investing in development effort
 </li>
 <li>
 Program management of machine learning initiatives - scoping, prioritization, resourcing, and implementation
 </li>
 <li>
 Comfortable and flexible in serving both supporting and leadership roles for various projects
 
 
 </li>
 </ul>
 
 Minimum Qualifications
 
 
 
 <ul>
 <li>
 3+ years of project management experience in highly technical field
 </li>
 <li>
 Bachelors or Masters in Computer Science, Engineering or similar field and hands on experience in technical roles
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Knowledge of emerging concepts like machine learning and predictive analytics (Deep Learning, Python, R, Neural Networks, applied Data Science) a strong plus
 </li>
 <li>
 Strong Excel skills, including pivots, vlookups, conditional formatting, large record sets
 </li>
 <li>
 Familiarity with databases, large data sets, reporting Tableau and SQL a plus
 </li>
 <li>
 Domestic and international travel up to 25% and work hour flexibility required in this dynamic, global position
 </li>
 <li>
 Able to work independently when managing multiple priorities in an unstructured, global and virtual environment is essential
 </li>
 <li>
 Highly desirable to have high tech manufacturing, Supply Chain Management, NPI or Manufacturing Operations related education / experience
 </li>
 <li>
 MBA is considered a plus
 
 
 </li>
 </ul>
</div>

Data ML Program Manager - Product Operations

Google

<div>
 Note: By applying to this position you will have an opportunity to share your preferred working location from the following:
 
 Bengaluru, Karnataka, India; Hyderabad, Telangana, India
 
 .
 
 Minimum qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
 </li>
 <li>
 7 years of experience in operations management, program management, or a similar role.
 
 
 </li>
 </ul>
 
 Preferred qualifications:
 
 
 
 <ul>
 <li>
 5 years of relevant work experience in operations or program management.
 </li>
 <li>
 Knowledge of the data labeling industry, including best practices, challenges, and quality assurance techniques.
 </li>
 <li>
 Familiarity with AI/ML development life-cycles and the role of human-annotated data.
 
 
 </li>
 </ul>
 
 About The Job
 
 
 
 As a Scaled Operations Manager, you will lead multidisciplinary AI/ML programs within AI Data operations, strengthening cross-Google accountability and execution. In this role, you will plan requirements with internal customers, manage projects through entire life-cycle, and co-ordinate stakeholders across offices, time zones, and hemispheres while managing schedules, operations, and risks to ensure alignment on progress and deadlines.
 
 
 Google Cloud accelerates every organization&rsquo;s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google&rsquo;s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Drive program outcomes for a portfolio of programs, focusing on efficiency, quality, and scalability. Design, launch, standardize, and continuously optimize end-to-end operational processes for various workflows.
 </li>
 <li>
 Develop and implement frameworks for tracking and reporting on the delivery and quality of work, ensuring goals are met. Act as the first point of contact for volume management and deliverable tracking, coordinating across multiple Product Areas (PAs).
 </li>
 <li>
 Ensure smooth execution of projects by proactively identifying and resolving bottlenecks and risks. Utilize data analysis to monitor performance, identify trends, and drive operational improvements.
 </li>
 <li>
 Develop and maintain documentation, best practices, and playbooks for operations.
 </li>
 <li>
 Partner with cross-functional teams, including engineering, product management, and technical writers, to enhance tooling and support for operations program.
 
 
 
 </li>
 </ul>
 Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
</div>

Scaled Operations Manager

Hitachi Digital Services

<div>
 
 Our Company
 
 
 
 We&rsquo;re Hitachi Digital Services, a global digital solutions and transformation business with a bold vision of our world&rsquo;s potential. We&rsquo;re people-centric and here to power good. Every day, we future-proof urban spaces, conserve natural resources, protect rainforests, and save lives. This is a world where innovation, technology, and deep expertise come together to take our company and customers from what&rsquo;s now to what&rsquo;s next. We make it happen through the power of acceleration.
 
 
 Imagine the sheer breadth of talent it takes to bring a better tomorrow closer to today. We don&rsquo;t expect you to &lsquo;fit&rsquo; every requirement &ndash; your life experience, character, perspective, and passion for achieving great things in the world are equally as important to us.
 
 
 
 Job Title: Product Manager/Product Owner
 
 
 
 
 Experience: 15+ Years
 
 
 
 
 Job Description
 
 
 
 Product Manager-The Product &amp; Transformation Manager &ndash; MES / Digital Manufacturing is responsible for driving end-to-end digital transformation programs and managing
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Product Strategy &amp; Roadmap**
 </li>
 <li>
 Define and own MES / Digital Manufacturing product vision, strategy, and roadmap aligned with enterprise transformation goals.
 </li>
 <li>
 Conduct market and competitive research on MES, Industry 4.0, IIoT, AI/ML, and smart manufacturing trends.
 </li>
 <li>
 Prioritize product features based on business impact and technical feasibility; manage product backlog and release planning.
 </li>
 <li>
 Program &amp; Transformation Leadership**
 </li>
 <li>
 Lead end-to-end transformation programs&mdash;including planning, roadmap definition, system design, deployment, and stabilization.
 </li>
 <li>
 Manage complex, multi-site digital initiatives such as MES rollouts, asset master data initiatives, IIoT/ML implementations, and AMS support.
 </li>
 <li>
 Execute Lean/Operational Excellence initiatives through process mapping, continuous improvement, and performance system design.
 </li>
 <li>
 Delivery &amp; Execution**
 </li>
 <li>
 Oversee full program lifecycle from feasibility through deployment and sustainment, ensuring achievement of KPIs, ROI, and cost targets.
 </li>
 <li>
 Ensure integration of MES with ERP (SAP), SCADA, PLM, historian, and enterprise architecture standards.
 </li>
 <li>
 Ensure compliance with standards (e.g., FDA/GMP/ISO), data integrity, cybersecurity, and governance protocols.
 </li>
 <li>
 Stakeholder &amp; Vendor Management**
 </li>
 <li>
 Facilitate workshops, align cross-functional teams, and maintain strategic direction with global stakeholders.
 </li>
 <li>
 Partner with technology vendors, system integrators, and service providers to ensure successful delivery and steady-state support.
 </li>
 <li>
 Manage communication with senior leadership and drive decision-making via structured governance forums.
 
 
 </li>
 </ul>
 
 Key Skills &amp; Experience
 
 
 
 10&ndash;15 years** of experience in manufacturing IT/digital transformation, with **5+ years** in MES product or program management.
 
 
 <ul>
 <li>
 Proven success managing deployments of **MES/ERP/MES/IoT/analytics/AMS** programs across multiple sites.
 </li>
 <li>
 Strong understanding of MES platforms (e.g., Siemens Opcenter, Rockwell FactoryTalk, AspenTech, AVEVA, DELMIA).
 </li>
 <li>
 Familiarity with **SAP PM/ERP**, historian systems, SCADA, IIoT connectivity, AI/ML-driven analytics.
 </li>
 <li>
 Expertise in **Lean Six Sigma, Operational Excellence, TOC**, and continuous improvement methodologies.
 </li>
 <li>
 Strong leadership, stakeholder management, and communication skills.
 
 
 </li>
 </ul>
 
 Personal Attributes
 
 
 
 <ul>
 <li>
 Strategic thinker with strong execution capability.
 </li>
 <li>
 Self-driven, adaptable, and committed to delivering business outcomes.
 </li>
 <li>
 Ability to influence teams across functions and geographies.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Certification: Product Management, Agile (CSPO, SAFe), or PMP.
 </li>
 <li>
 Experience in Energy, Life Sciences, or Industrial Manufacturing environments.
 </li>
 <li>
 Exposure to sustainability initiatives and digital asset governance.
 
 
 </li>
 </ul>
 
 About Us
 
 
 
 We&rsquo;re a global, team of innovators. Together, we harness engineering excellence and passion to co-create meaningful solutions to complex challenges. We turn organizations into data-driven leaders that can make a positive impact on their industries and society. If you believe that innovation can bring a better tomorrow closer to today, this is the place for you.
 
 
 
 Fostering innovation through diverse perspectives
 
 
 
 Hitachi is a global company operating across a wide range of industries and regions. One of the things that sets Hitachi apart is the diversity of our business and people, which drives our innovation and growth.
 
 
 We are committed to building an inclusive culture based on mutual respect and merit-based systems. We believe that when people feel valued, heard, and safe to express themselves, they do their best work.
 
 
 
 How We Look After You
 
 
 
 We help take care of your today and tomorrow with industry-leading benefits, support, and services that look after your holistic health and wellbeing. We&rsquo;re also champions of life balance and offer flexible arrangements that work for you (role and location dependent). We&rsquo;re always looking for new ways of working that bring out our best, which leads to unexpected ideas. So here, you&rsquo;ll experience a sense of belonging, and discover autonomy, freedom, and ownership as you work alongside talented people you enjoy sharing knowledge with.
 
 
 
 We&rsquo;re proud to say we&rsquo;re an equal opportunity employer and welcome all applicants for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran, age, disability status
 
 
 or any other protected characteristic.
 
 Should you need reasonable accommodations during the recruitment process, please let us know so that we can do our best to set you up for success.
</div>

Product Manager/Product Owner

<div>
 
 
 Key Requirements
 
 
 <ul>
 <li>
 Minimum 7
 
 + years of professional experience
 
 in advanced analytics, machine learning, or applied data science roles.
 </li>
 <li>
 Strong hands-on proficiency in
 
 SQL and Python
 
 for data analysis, model development, and automation.
 </li>
 <li>
 Proven experience working as an
 
 Individual Contributor
 
 , owning end-to-end model development and delivery.
 </li>
 <li>
 
 Location:
 
 Bangalore or Hyderabad.
 </li>
 <li>
 Demonstrated hands-on experience with
 
 Machine Learning and Operations Research (OR) models
 
 .
 </li>
 <li>
 Proven ability to
 
 design, develop, evaluate, and deploy innovative, highly scalable ML models
 
 in production environments.
 </li>
 <li>
 Strong exposure to
 
 Large Language Models (LLMs)
 
 for insight generation and advanced analytical use cases.
 </li>
 <li>
 Experience in
 
 deploying and maintaining models in production
 
 , including performance monitoring and optimization.
 </li>
 <li>
 Strong
 
 stakeholder management skills
 
 , with the ability to collaborate effectively across business, product, and engineering teams.
 </li>
 <li>
 
 Good to have:
 
 Familiarity with
 
 agentic architectures
 
 and next-generation AI frameworks.
 </li>
 </ul>
 
 
 
 
 
 Key Job Responsibilities
 
 
 <ul>
 <li>
 Apply
 
 machine learning and advanced analytical techniques
 
 to develop scalable solutions for complex business problems.
 </li>
 <li>
 Analyze and extract actionable insights from
 
 large-scale historical business data
 
 to automate and optimize key operational processes.
 </li>
 <li>
 
 Design, develop, evaluate, and deploy
 
 innovative, high-performance ML models at scale.
 </li>
 <li>
 Collaborate closely with
 
 data science and engineering teams
 
 to drive real-time and production-grade model implementations.
 </li>
 <li>
 Partner with
 
 Operations and Product teams
 
 to identify problem statements and propose effective ML-driven solutions.
 </li>
 <li>
 Establish
 
 scalable, efficient, and automated frameworks
 
 for large-scale data analysis, model development, validation, deployment, and ongoing maintenance.
 </li>
 <li>
 Proactively work with engineering teams and product managers to
 
 advocate new algorithms and modeling approaches
 
 , and lead the implementation of complex ML solutions in production environments.
 </li>
 </ul>
 
 
</div>

Data Scientist

Happiest Minds Technologies

<div>
 
 
 Designation: Senior Technical Project Manager &ndash; Wired Networking, Telecom &amp; Applications
 
 
 
 Experience: 12&ndash;15 years
 
 
 Location: Bangalore
 
 
 
 
 
 
 Job Summary:
 
 
 
 We are seeking a highly experienced and dynamic Senior Technical Project Manager with a strong background in leading engineering and technical programs across Networking, Telecom, and Application domains,
 
 preferably from Indian MNCs/ Captives
 
 . The ideal candidate will bring deep expertise in working
 
 with Network Equipment Providers (NEP) and OEMs,
 
 with hands-on experience managing complex programs in areas such as Network Operating Systems (NOS), Embedded Systems, Java Applications, and Cloud/DevOps/AI-ML technologies. This role demands a strategic thinker, strong leader, and excellent communicator, capable of overseeing cross-functional teams and delivering projects on time, within budget, and aligned with organizational goals.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Lead end-to-end project and program management for technical initiatives in NOS, embedded systems, and Java-based applications (front-end and back-end).
 </li>
 <li>
 Drive Agile, Iterative, and Hybrid project delivery models to ensure timely and quality delivery.
 </li>
 <li>
 Collaborate with cross-functional teams including software development, testing, DevOps, cloud engineering, and product management.
 </li>
 <li>
 Apply strong domain knowledge in L2/L3 networking protocols, Java development, AI/ML, and DevOps practices (CI/CD pipelines, Cloud infrastructure).
 </li>
 <li>
 Conduct daily stand-ups (DSUs), weekly reviews, and stakeholder communication to track and report progress, risks, and issues.
 </li>
 <li>
 Manage all aspects of project planning, including estimation techniques, resource planning, delivery metrics, and SLA adherence.
 </li>
 <li>
 Provide technical leadership and mentoring across distributed teams.
 </li>
 <li>
 Handle escalations and demonstrate strong customer-facing and stakeholder management skills.
 </li>
 <li>
 Ensure effective people management, including performance tracking, training plans, and career development for engineers.
 </li>
 <li>
 Maintain detailed project documentation and ensure regular reporting to both internal leadership and customers.
 </li>
 </ul>
 
 
 Technical Skills &amp; Expertise:
 
 
 <ul>
 <li>
 Deep understanding of Networking (L2/L3) development and testing.
 </li>
 <li>
 Strong expertise in Java Application Development (frontend/backend).
 </li>
 <li>
 Familiarity with DevOps tools, AWS CI/CD pipelines.
 </li>
 <li>
 Exposure to Cloud technologies and modern AI/ML applications.
 </li>
 <li>
 Working knowledge of Angular (preferably Angular 15) for application development.
 </li>
 <li>
 Strong presentation, negotiation, and escalation management skills.
 </li>
 </ul>
 
 
 Qualifications:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Engineering, IT, or a related field (Master&rsquo;s preferred).
 </li>
 <li>
 12 to 15 years of experience in technical project/program management with a strong focus on engineering execution.
 </li>
 <li>
 Proven track record of delivering large-scale, complex technical programs.
 </li>
 <li>
 
 Experience working with NEP/OEM partners and customer-facing leadership roles.
 
 </li>
 <li>
 Excellent communication skills &ndash; verbal, written, and presentation.
 </li>
 </ul>
 
 
 Desirable Attributes:
 
 
 <ul>
 <li>
 Passionate, self-driven, and a go-getter attitude.
 </li>
 <li>
 Proven ability to solve challenges related to estimation, pricing, and competency development.
 </li>
 <li>
 Strong organizational and time-management skills.
 </li>
 <li>
 Demonstrated ability to build strong relationships with both technical teams and business stakeholders.
 </li>
 <li>
 Project Finances
 </li>
 </ul>
 
 
</div>

Senior Technical Project Manager | Engineering Manager – Wired Networking, Telecom & Applications

Kong

<div>
 
 Are you ready to power the World's connections?
 
 
 
 If you don&rsquo;t think you meet all of the criteria below but are still interested in the job, please apply. Nobody checks every box - we&rsquo;re looking for candidates that are particularly strong in a few areas, and have some interest and capabilities in others.
 
 
 
 About The Role
 
 
 
 The Engineering Manager for the AI Platform team will lead a team of AI/ML engineers, applied scientists, and platform engineers building Kong's next-generation AI capabilities. You'll be responsible for building and scaling a high-performing team, driving technical execution, and collaborating with product and leadership to define the roadmap for AI features across Kong's platform. This role requires a strong technical background in either AI/ML or platform engineering, proven people management experience, and the ability to navigate the rapidly evolving AI landscape while delivering production-ready systems at scale.
 
 
 
 What You'll Do
 
 
 
 Lead, mentor, and grow a team of 6-10 engineers, including AI/ML engineers, applied scientists, and platform engineers.
 
 
 Build a strong engineering culture focused on innovation, quality, collaboration, and continuous learning in the AI domain.
 
 
 Drive technical execution across multiple parallel initiatives, ensuring timely delivery of high-quality AI features.
 
 
 Partner with product managers to define roadmaps, prioritize work, and align team efforts with business objectives.
 
 
 Conduct regular 1:1s, provide coaching and feedback, and support career development for all team members.
 
 
 Lead hiring efforts to scale the team, including defining role requirements, conducting interviews, and making hiring decisions.
 
 
 Collaborate with cross-functional teams, including Gateway, Dev Portal, and other product teams, to integrate AI capabilities.
 
 
 Establish engineering best practices for AI/ML development, including evaluation frameworks, safety guardrails, and responsible AI principles.
 
 
 Drive technical strategy and architectural decisions for AI platform services and infrastructure.
 
 
 Manage team performance through goal setting, performance reviews, and fostering accountability.
 
 
 Balance innovation and experimentation with pragmatic delivery of production systems.
 
 
 Communicate technical progress, challenges, and strategic recommendations to senior leadership.
 
 
 Own incident response and operational excellence for AI platform services.
 
 
 Advocate for the team's needs in terms of resources, tooling, and organizational support.
 
 
 
 What You'll Bring
 
 
 
 3+ years of engineering management experience leading teams of 5+ engineers.
 
 
 8+ years of total software engineering experience with a strong technical background in one or more of AI/ML engineering, distributed systems, or platform engineering.
 
 
 Demonstrated success building and scaling high-performing engineering teams.
 
 
 Experience managing teams working on AI/ML systems, large language models, or ML infrastructure (strongly preferred).
 
 
 Strong technical credibility with the ability to engage in architecture discussions, code reviews, and technical decision-making.
 
 
 Experience hiring, onboarding, and developing engineers at different seniority levels.
 
 
 Proven ability to drive execution on complex, ambiguous projects with multiple stakeholders.
 
 
 Strong communication skills with the ability to influence across technical and non-technical audiences.
 
 
 Experience working in fast-paced environments and balancing competing priorities.
 
 
 Understanding of modern AI/ML technologies, including LLMs, vector databases, and ML infrastructure.
 
 
 Knowledge of cloud platforms (AWS preferred) and container orchestration (Kubernetes).
 
 
 Experience with agile development methodologies and iterative delivery practices.
 
 
 Track record of fostering inclusive and collaborative team environments.
 
 
 Ability to provide technical guidance while empowering teams to make decisions.
 
 
 Experience managing globally distributed teams across multiple time zones.
 
 
 
 Bonus Points
 
 
 
 Experience managing teams building production AI/ML applications or ML platforms.
 
 
 Background as an AI/ML engineer, data scientist, or ML platform engineer.
 
 
 Experience with AWS AI/ML services (Bedrock, SageMaker) or similar platforms.
 
 
 Knowledge of LLM application development, prompt engineering, or agentic workflows.
 
 
 Experience in API Gateway, developer tools, or platform engineering domains.
 
 
 Understanding of responsible AI practices, AI safety, and alignment principles.
 
 
 Experience managing teams through 0-to-1 product development.
 
 
 Track record of technical writing, conference speaking, or thought leadership in AI/ML.
 
 
 Experience with performance management and difficult conversations.
 
 
 Background in building MLOps infrastructure or ML engineering platforms.
 
 
 Familiarity with Kong's products or the API management ecosystem.
 
 
 Experience managing teams supporting high-availability SaaS or PaaS offerings.
 
 
 Knowledge of compliance frameworks and building audit-ready AI systems.
 
 
 Experience collaborating with research teams or applied scientists.
 
 
 Active involvement in AI/ML communities or open-source contributions.
 
 
 
 About Kong
 
 
 
 Kong Inc., a leading developer of cloud API technologies, is on a mission to enable companies around the world to become &ldquo;API-first&rdquo; and securely accelerate AI adoption. Kong helps organizations globally &mdash; from startups to Fortune 500 enterprises &mdash; unleash developer productivity, build securely, and accelerate time to market. For more information about Kong, please visit www.konghq.com or follow us on X @thekonginc.
 
 
</div>

Engineering Manager, Konnect Core Platform

Docusign

<div>
 
 Company Overview
 
 
 
 Docusign brings agreements to life. Over 1.5 million customers and more than a billion people in over 180 countries use Docusign solutions to accelerate the process of doing business and simplify people&rsquo;s lives. With intelligent agreement management, Docusign unleashes business-critical data that is trapped inside of documents. Until now, these were disconnected from business systems of record, costing businesses time, money, and opportunity. Using Docusign&rsquo;s Intelligent Agreement Management platform, companies can create, commit, and manage agreements with solutions created by the #1 company in e-signature and contract lifecycle management (CLM).
 
 
 What you'll do
 
 
 Become a key player shaping Docusign's intelligent agreement platform. You'll apply and implement cutting-edge machine learning and Generative AI solutions, partnering with product and engineering to drive data-first strategies. Your work will involve prototyping and deploying novel GenAI applications to unlock critical business insights.
 
 
 This position is an individual contributor role reporting to the Senior Manager, Data Science.
 
 
 
 Responsibility
 
 
 
 <ul>
 <li>
 Lead the design and build of autonomous Agentic systems and workflows, collaborating with product, engineering, and go-to-market teams for at-scale campaigns
 </li>
 <li>
 Experiment with and implement advanced DL/ML models, with a primary focus on Agentic Frameworks, LLMs, and GenAI to predict user behavior, enhance product features, and drive automation
 </li>
 <li>
 Act as an Agentic AI expert, providing guidance and mentorship to other data scientists and team members
 </li>
 <li>
 Utilize prompt engineering, RAG, and model fine-tuning to derive actionable insights, generate content, and create novel user experiences
 </li>
 <li>
 Analyze customer data, market trends, and user insights to inform the development of GenAI solutions
 </li>
 <li>
 Partner with product teams to design, run, and analyze A/B and multivariate tests for GenAI features
 </li>
 <li>
 Present actionable insights on model performance and business potential, translating complex GenAI concepts for diverse stakeholders
 </li>
 <li>
 Stay updated on Generative AI advancements and propose new applications to solve business problems
 </li>
 <li>
 Drive projects to completion, proactively identifying and resolving roadblocks with cross-functional partners
 
 
 </li>
 </ul>
 Job Designation
 
 
 
 Hybrid:
 
 Employee divides their time between in-office and remote work. Access to an office location is required. (Frequency: Minimum 2 days per week; may vary by team but will be weekly in-office expectation)
 
 
 Positions at Docusign are assigned a job designation of either In Office, Hybrid or Remote and are specific to the role/job. Preferred job designations are not guaranteed when changing positions within Docusign. Docusign reserves the right to change a position's job designation depending on business needs and as permitted by local law.
 
 
 What you bring
 
 
 
 Basic
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Physics, Mathematics, Statistics, or a related field
 </li>
 <li>
 3+ years of hands-on experience building data science applications and ML pipelines, with demonstrable experience in Generative AI projects
 </li>
 <li>
 Experience with Python for research and development, including common GenAI libraries
 </li>
 <li>
 Demonstrable experience designing, building, or implementing Agentic AI systems or multi-agent frameworks
 </li>
 <li>
 Strong knowledge of ML/DL/statistics concepts, including LLMs, transformer architectures, and their applications
 </li>
 <li>
 Experience with prompt engineering and utilizing pre-trained LLMs (APIs or open-source)
 </li>
 <li>
 Experience with large datasets, distributed computing, and cloud platforms (e.g., AWS, Azure, GCP)
 </li>
 <li>
 Proficiency with relational databases (e.g., SQL)
 </li>
 <li>
 Experience training, evaluating, and deploying ML models in production (MLOps for GenAI)
 </li>
 <li>
 Proven track record contributing to ML/GenAI projects from ideation to deployment
 </li>
 <li>
 Experience with ML algorithms (e.g., CatBoost, XGBoost, LGBM) for classification/regression and understanding how they complement GenAI solutions
 </li>
 <li>
 Experience as a Data Scientist, ideally in the SaaS domain with a focus on AI-driven features
 
 
 </li>
 </ul>
 
 Preferred
 
 
 
 <ul>
 <li>
 Master's degree in Statistics, Computer Science, or Engineering with specialization in machine learning, AI, or Statistics, with research or projects in Generative AI
 </li>
 <li>
 5+ years of prior industry experience, with at least 1-2 years focused on GenAI applications
 </li>
 <li>
 Experience applying data science and GenAI to customer success, product, or UX optimization
 </li>
 <li>
 Hands-on experience with fine-tuning LLMs or working with RAG methodologies
 </li>
 <li>
 Hands-on experience with agentic frameworks like crewAI or similar platforms (e.g., LangChain, AutoGen)
 </li>
 <li>
 Familiarity with MLOps/data engineering tools; specific experience with MLflow, Airflow (DAGs), and Amazon SageMaker
 </li>
 <li>
 Experience with agile/SDLC, especially for AI products
 </li>
 <li>
 Experience with Github, JIRA/Confluence
 </li>
 <li>
 Contributions to open-source GenAI projects or a portfolio of GenAI-related work
 </li>
 <li>
 Ability to explain complex technical (including GenAI) concepts to diverse audiences
 
 
 </li>
 </ul>
 Life at Docusign
 
 
 
 Working here
 
 
 
 Docusign is committed to building trust and making the world more agreeable for our employees, customers and the communities in which we live and work. You can count on us to listen, be honest, and try our best to do what&rsquo;s right, every day. At Docusign, everything is equal.
 
 
 We each have a responsibility to ensure every team member has an equal opportunity to succeed, to be heard, to exchange ideas openly, to build lasting relationships, and to do the work of their life. Best of all, you will be able to feel deep pride in the work you do, because your contribution helps us make the world better than we found it. And for that, you&rsquo;ll be loved by us, our customers, and the world in which we live.
 
 
 
 Accommodation
 
 
 
 Docusign is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need such an accommodation, or a religious accommodation, during the application process, please contact us at accommodations@docusign.com.
 
 
 If you experience any issues, concerns, or technical difficulties during the application process please get in touch with our Talent organization at taops@docusign.com for assistance.
 
 
 Applicant and Candidate Privacy Notice
 
 
</div>

GenAI Data Scientist

Explore 425+ Data ml program manager product operations in Mangaluru this January. Find roles across top companies and apply now to boost your career.