ai / ml engineer

machine learning engineer Jobs in Mangaluru

machine learning engineer

ai engineer

ai / ml developer / engineer Jobs in Mangaluru

ai / ml developer / engineer

ai ml engineer

professional machine learning engineer

Accenture in India

<div>
 
 Project Role :
 
 AI / ML Engineer
 
 
 
 Project Role Description :
 
 Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
 
 
 
 Must have skills :
 
 Generative AI, Large Language Models (LLMs), Prompt Engineering, Machine Learning (ML), AI Workflows, Azure Cloud services
 
 
 
 Good to have skills :
 
 NA
 
 
 
 Minimum 7.5 Year(s) Of Experience Is Required
 
 
 
 
 Educational Qualification :
 
 15 years full time education
 
 
 Summary:
 
 
 As an AI / ML Engineer, a typical day involves designing and building advanced applications and systems that leverage artificial intelligence technologies. This role requires integrating cloud-based AI services or on-premises application pipelines to deliver solutions that meet production standards. The engineer applies generative artificial intelligence models to enhance system capabilities, which may include working with deep learning frameworks, neural networks, conversational agents, and image processing techniques. Collaboration with various teams to ensure seamless deployment and continuous improvement of AI-driven solutions is a key aspect of daily activities.
 
 
 Roles &amp; Responsibilities:
 
 
 <ul>
 <li>
 Expected to be an SME, collaborate and manage the team to perform.
 </li>
 <li>
 Responsible for team decisions.
 </li>
 <li>
 Engage with multiple teams and contribute on key decisions.
 </li>
 <li>
 Provide solutions to problems for their immediate team and across multiple teams.
 </li>
 <li>
 Lead the design and implementation of AI-driven projects ensuring alignment with organizational goals.
 </li>
 <li>
 Mentor junior team members to foster skill development and knowledge sharing.
 </li>
 <li>
 Coordinate cross-functional efforts to optimize AI model integration and deployment.
 </li>
 <li>
 Continuously evaluate emerging AI technologies to recommend improvements and innovations.
 
 
 
 </li>
 </ul>
 Professional &amp; Technical Skills:
 
 
 <ul>
 <li>
 Must To Have Skills: Proficiency in Generative AI, Machine Learning (ML), Prompt Engineering, Large Language Models (LLMs).
 </li>
 <li>
 Strong experience in developing and deploying AI applications using cloud platforms and on-premises infrastructure.
 </li>
 <li>
 In-depth understanding of neural networks, deep learning architectures, and their practical applications.
 </li>
 <li>
 Ability to design scalable AI pipelines that ensure production-ready quality and reliability.
 </li>
 <li>
 Experience with chatbot development, image processing, and natural language processing techniques.
 </li>
 <li>
 Skilled in troubleshooting and optimizing AI models for performance and accuracy.
 
 
 
 </li>
 </ul>
 Additional Information:
 
 
 <ul>
 <li>
 The candidate should have minimum 7.5 years of experience in Generative AI.
 </li>
 <li>
 This position is based at our Bengaluru office.
 </li>
 <li>
 A 15 years full time education is required.
 
 </li>
 </ul>
</div>

AI / ML Engineer

InCommon

<div>
 
 
 Title: Senior Machine Learning Engineer
 
 
 
 
 Bangalore| India
 
 
 
 InCommon is hiring for a US based healthtech company on a mission to provide dignified, high quality care to patients with complex health needs. The company delivers primary, behavioral, and social care through a combination of at-home and virtual care, supported by 24/7 access to dedicated care teams. Powered by technology, evidence-based care models, and strong partnerships across the healthcare ecosystem, the company is focused on improving health outcomes and addressing long standing gaps in care.
 
 
 
 
 
 
 About the role:
 
 
 
 
 
 <ul>
 <li>
 As a Senior Machine Learning Engineer, you will help them transform healthcare through AI.
 </li>
 <li>
 Mission-critical, be part of our growing team (and company).
 </li>
 <li>
 Collaborate across the organization with various teams, including Product, Sales, and Clinical Operations, to rewire health care: Your choices will matter, and you will work across multiple teams to help execute the choices
 </li>
 <li>
 Drive the change in healthcare: You will build the products to integrate highly fragmented and dispersed healthcare services as an end-to-end experience
 </li>
 <li>
 Be part of building a great engineering culture, maintaining the balance and right tradeoff for building products for speed and tech debt
 </li>
 </ul>
 
 
 
 
 
 Desired skills and experience:
 
 
 
 
 
 
 
 Required:
 
 
 <ul>
 <li>
 5+ years of software engineering experience, with a focus on building production-grade machine learning systems, backend infrastructure, or MLOps
 </li>
 <li>
 Graduate degree in Computer Science, Statistics, or related quantitative field
 </li>
 <li>
 Strong proficiency in Python and SQL, with the ability to create efficient and maintainable code for machine learning applications
 </li>
 <li>
 Developing and maintaining ML pipelines for model training, evaluation, deployment (experience with tools like AWS Sagemaker or Bedrock is preferred)
 </li>
 <li>
 Healthcare experience is valuable but not required
 </li>
 </ul>
 
 
 
 
 
 You have hands-on experience in:
 
 
 <ul>
 <li>
 Developing and implementing modern LLM models and transformers and deploying ML models in a production environment
 </li>
 <li>
 Designing and implementing best practices for model versioning, experimentation, and reproducibility
 </li>
 <li>
 Continuously improving our ML infrastructure for stability, scalability, observability, and security
 </li>
 <li>
 Developing internal tooling and libraries to enhance ML workflow efficiency
 </li>
 <li>
 Designing and implementing best practices for model versioning, experimentation, and reproducibility
 </li>
 <li>
 Experience improving ML infrastructure for stability, scalability, observability, and security
 </li>
 <li>
 Developing internal tooling and libraries to enhance ML workflow efficiency
 </li>
 <li>
 Experience with tools like AWS SageMaker or AWS Bedrock
 </li>
 </ul>
 
 
 
 
 
 Responsibilities will include:
 
 
 
 Technical Leadership
 
 <ul>
 <li>
 Drive AI initiatives and collaborate with teams to leverage data effectively through model development and evaluation
 </li>
 <li>
 Design and implement scalable Machine Learning infrastructure and solutions, ensuring reliability and performance
 </li>
 <li>
 Help establish data engineering best practices and promote standards that enhance data accessibility across teams
 </li>
 </ul>
 
 Data Strategy &amp; Architecture
 
 <ul>
 <li>
 Create and maintain optimal AI pipeline architecture with high observability and robust operational characteristics
 </li>
 <li>
 Champion responsible AI development by implementing and reviewing models that maximize data value while ensuring fairness and equity
 </li>
 <li>
 Assemble large, complex data sets that address functional and strategic requirements
 </li>
 </ul>
 
 Collaboration &amp; Enablement
 
 <ul>
 <li>
 Partner with other teams such as; Executive, Product, Clinical, Data, and Design
 </li>
 <li>
 Identify, design, and implement process improvements to enhance efficiency and scalability
 </li>
 <li>
 Create tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader
 </li>
 </ul>
 
 Quality &amp; Innovation
 
 <ul>
 <li>
 Develop efficient, reliable AI pipelines with strong monitoring and observability
 </li>
 <li>
 Navigate and optimize our data ecosystem to drive meaningful insights
 </li>
 <li>
 Design and implement comprehensive evaluation frameworks and benchmarks to rigorously assess model performance, accuracy and reliability
 </li>
 </ul>
 
 
 
 
 
 What makes you a fit for the team:
 
 
 
 Your entrepreneurial mindset and ability to articulate complex technical ideas will be essential as you collaborate across our remote team to solve novel problems at the intersection of AI and compassionate care delivery
 
 
 
 
</div>

Senior Machine Learning Engineer

Get Well

<div>
 
 Opportunity
 
 
 
 Get Well is seeking a talented and innovative
 
 Senior AI Engineer
 
 to lead the development and deployment of advanced AI solutions within a mission-driven healthcare environment. This role is ideal for a seasoned professional with hands-on experience in machine learning (ML), large language models (LLMs), and generative AI (GenAI), with a strong focus on productionizing scalable and reliable models.
 
 
 As a Senior AI Engineer, you will drive end-to-end AI development&mdash;from ideation and training data pipelines to model deployment and continuous improvement&mdash;while addressing unique healthcare data challenges. You&rsquo;ll collaborate across functions including product, engineering, data science, and clinical experts to deliver high-impact AI applications, including voice assistants and multimodal systems tailored to real-world care settings.
 
 
 
 Responsibilities
 
 
 
 
 AI Model Development &amp; Customization
 
 
 
 <ul>
 <li>
 Fine-tune SLMs / LLMs and develop ML models for healthcare-specific use cases.
 </li>
 <li>
 Build multimodal AI systems that integrate text, structured medical data, and images.
 </li>
 <li>
 Optimize models for accuracy, latency, and resource efficiency in production settings.
 </li>
 <li>
 Evaluate and integrate speech-to-text (STT) and text-to-speech (TTS) models into conversational interfaces.
 </li>
 <li>
 Customize foundation models using domain adaptation and prompt engineering techniques (e.g., PEFT, LoRA).
 </li>
 <li>
 Develop AI algorithms from healthcare data and guide them through a full production lifecycle into deployed solutions.
 
 
 </li>
 </ul>
 
 Productionization &amp; Deployment
 
 
 
 <ul>
 <li>
 Lead model deployment end-to-end with cloud-native tools and infrastructure (Azure ML).
 </li>
 <li>
 Implement model performance monitoring, drift detection, and auto-retraining pipelines.
 </li>
 <li>
 Ensure AI solutions are scalable, reliable, and aligned with security and compliance requirements in healthcare environments.
 
 
 </li>
 </ul>
 
 Technical Leadership
 
 
 
 <ul>
 <li>
 Provide technical guidance to junior AI engineers.
 </li>
 <li>
 Conduct design reviews and drive the adoption of best practices in model reproducibility, validation, and explainability.
 </li>
 <li>
 Lead the evaluation and integration of cutting-edge ML research and open-source frameworks.
 </li>
 <li>
 Contribute to architectural decisions aligned with clinical, business, and regulatory goals.
 
 
 </li>
 </ul>
 
 Data Engineering &amp; Management
 
 
 
 <ul>
 <li>
 Process and curate large-scale, structured and unstructured healthcare datasets.
 </li>
 <li>
 Design synthetic data generation strategies where needed to augment training.
 </li>
 <li>
 Handle noisy, imbalanced, or incomplete data through robust preprocessing and enrichment.
 </li>
 <li>
 Ensure HIPAA and GDPR compliance in data handling, encryption, and access management.
 </li>
 <li>
 Leverage EHR and clinical data from the provider side to engineer healthcare data pipelines and training corpora.
 
 
 </li>
 </ul>
 
 Bias Mitigation, Evaluation &amp; Governance
 
 
 
 <ul>
 <li>
 Lead the creation of robust evaluation strategies combining domain-specific KPIs (e.g., AUC, accuracy) with clinical relevance.
 </li>
 <li>
 Proactively identify, measure, and mitigate algorithmic bias, especially in patient-facing models.
 </li>
 <li>
 Conduct adversarial stress testing and ensure models meet safety, fairness, and ethical standards.
 </li>
 <li>
 Define model KPIs aligned with measurable impacts on clinical outcomes, patient safety, and workflow efficiency.
 
 
 </li>
 </ul>
 
 Cross-Functional Collaboration
 
 
 
 <ul>
 <li>
 Translate stakeholder and product needs into robust, scalable AI solutions.
 </li>
 <li>
 Collaborate with clinical experts to vet model behavior and expected impact in patient and caregiver workflows.
 </li>
 <li>
 Participate in Agile processes including sprint planning, demos, and technical retrospectives.
 </li>
 <li>
 Manage documentation of model architectures, version changes, testing strategies, and key design decisions.
 
 
 </li>
 </ul>
 
 Learning, Innovation &amp; Thought Leadership
 
 
 
 <ul>
 <li>
 Stay up-to-date on the latest LLM advancements, STT/TTS developments, voice interaction technologies, and GenAI frameworks.
 </li>
 <li>
 Evaluate new models and methods (e.g., RAG, LangChain, Whisper, Tacotron) for their potential impact and feasibility.
 </li>
 <li>
 Advocate for responsible AI and lead initiatives in privacy-preserving and explainable ML.
 </li>
 <li>
 Contribute to a culture of continuous learning, internal knowledge sharing, and open technical dialogue.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Education &amp; Experience
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Machine Learning, or related technical field.
 </li>
 <li>
 Minimum 6+ years of industry experience in AI/ML including at least 2 years with GenAI, NLP/NLU, and LLMs.
 </li>
 <li>
 Must have software development experience at a healthcare company, particularly in the provider space (e.g., hospitals, clinical systems) with exposure to EHRs or related healthcare data domains.
 </li>
 <li>
 Proven experience developing AI algorithms using healthcare datasets and integrating them into production products or services.
 </li>
 <li>
 Experience building voice-enabled products or assistants is highly advantageous.
 
 
 </li>
 </ul>
 
 Technical Skills
 
 
 
 <ul>
 <li>
 Expert in Python and deep learning frameworks such as PyTorch or TensorFlow.
 </li>
 <li>
 Hands-on experience with training/fine-tuning LLMs and modern NLP/NLU techniques.
 </li>
 <li>
 Hands-on expertise with STT (e.g., Whisper) and TTS (e.g. Elevenlabs) models.
 </li>
 <li>
 Proficient in MLOps, including model serving, experiment tracking, container orchestration, and CI/CD pipelines.
 </li>
 <li>
 Strong understanding of production-grade solutions using Azure.
 </li>
 <li>
 Familiarity with version control (e.g., Git), collaboration tools, and responsible AI practices.
 </li>
 <li>
 Familiar with vector databases, retrieval-augmented generation (RAG), and API deployment.
 </li>
 <li>
 Comfortable with healthcare regulatory frameworks (e.g., HIPAA, GDPR) and ethical data use policies.
 
 
 </li>
 </ul>
 
 Professional Attributes
 
 
 
 <ul>
 <li>
 Curious and self-motivated, with a passion for impactful healthcare innovation.
 </li>
 <li>
 Effective communicator who can tailor technical concepts to non-technical stakeholders.
 </li>
 <li>
 Exceptional problem-solving and quantitative reasoning abilities.
 </li>
 <li>
 Team-oriented, growth-minded, and proactive in driving projects forward.
 </li>
 <li>
 Highly organized and focused on quality, reproducibility, and compliance.
 </li>
 <li>
 Passionate about applying AI to improve outcomes in real-world healthcare systems.
 
 
 </li>
 </ul>
 
 About GW RhythmX
 
 
 
 GW RhythmX is revolutionizing healthcare through connected, AI-native intelligence that unites clinical insight, patient engagement, and system-wide care orchestration. The company combines market-leading AI precision care technology with extensive trusted patient engagement leadership to help health systems deliver the right care, at the right time, through the right clinician and channel. Its solutions are deployed across more than 150 health systems, touching more than 85M patients including 8M U.S. military veterans. The company's award-winning solutions were recognized again in 2024 by KLAS Research, Fierce Healthcare, and AVIA Marketplace. A SymphonyAI Group company, GW RhythmX leverages various firm assets, including $1B+ in R&amp;D investment, longitudinal data related to 300 million patients, 4.4 billion total annual claims, and 1.8 million healthcare professionals at more than 3,000 facilities globally.
 
 
 GW RhythmX is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age or veteran status.
</div>

Senior AI Engineer

<div>
 
 Project Role :
 
 AI / ML Engineer
 
 
 
 Project Role Description :
 
 Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
 
 
 
 Must have skills :
 
 Natural Language Processing (NLP)
 
 
 
 Good to have skills :
 
 NA
 
 
 
 Minimum 12 Year(s) Of Experience Is Required
 
 
 
 
 Educational Qualification :
 
 Ph.D. in Computer Science, Electrical Engineering, Electronics, Electronics and Communication, Data Science/AI, Mathematics and Statistics from premium institutes like IITs, IISc, IIITs and ISIs
 
 
 We're looking for a visionary &ldquo;AI Research and Innovation Practitioner&rdquo; to develop new algorithms, enhance existing models, and explore novel applications of AI to address complex challenges faced by our clients. The position is open across multiple areas of AI and Gen including Speech and Audio, Computer Vision, Natural Language Processing and Multimodal AI. We also have emerging research tracks on Agentic AI autonomous, goal driven intelligent systems that can reason, plan, and adapt using AI. Are you a PhD in CS/EE/Math/AI/Statistics or similar disciplines from a top tier institute (IIT/IISc/ISI/IIIT) and experienced in Artificial Intelligence/Machine Learning/Natural Language Processing/Computer Vision/Speech Processing/Multi Modal Processing, then we would love to talk to you. Are you passionate about cutting edge research and making tangible impact, this is your opportunity to lead innovation at scale. Join Accenture&rsquo;s Centre for Advanced AI (CAAI), where world-class AI research meets real-world enterprise impact. Your key responsibilities will include (a) Building novel solutions to the challenging problem faced by industry (b) Collaboration with Responsible AI, Delivery leads, and Academia (c) Real world applications: digital assistants, healthcare agents, enterprise automation (d) Leading research and publishing in top tier conferences (e) Mentoring and building the next wave of AI talent. The locations where candidate can be posted are Bangalore, Hyderabad, Mumbai, Pune, Chennai, Gurgaon, and NCR.
</div>

Litmus7

<div>
 <ul>
 <li>
 Minimum 5 years of experience in machine learning engineering and AI development.
 </li>
 <li>
 Deep expertise in machine learning algorithms and techniques like supervised/unsupervised learning, deep learning, reinforcement learning, etc.
 </li>
 <li>
 Solid experience in natural language processing (NLP) - language models, text generation, sentiment analysis, etc.
 </li>
 <li>
 Proven understanding of generative AI concepts like text/image/audio synthesis, diffusion models, transformers, etc.
 </li>
 <li>
 Expertise in Agentic AI and building real world applications using the same.
 </li>
 <li>
 Experience working with Agentic AI frameworks like Langgraph , ADK, Autogen etc.
 </li>
 <li>
 Hands-on experience in developing and deploying generative AI applications (text generation, conversational AI, image synthesis, etc.)
 </li>
 <li>
 Experience in MLOps and ML model deployment pipelines.
 </li>
 <li>
 Proficiency in programming languages like Python, and ML frameworks like TensorFlow, PyTorch, etc.
 </li>
 <li>
 Knowledge of cloud platforms (AWS, GCP, Azure) and tools for scalable ML solution deployment.
 </li>
 <li>
 Experience with data processing, feature engineering, and model training on large datasets.
 </li>
 <li>
 Familiarity with responsible AI practices, AI ethics, model governance and risk mitigation.
 </li>
 <li>
 Understanding of software engineering best practices and applying them to ML systems.
 </li>
 <li>
 Design, develop and optimize machine learning models for applications across different domains.
 </li>
 <li>
 Build natural language processing pipelines for tasks like text generation, summarization, translation, etc
 </li>
 <li>
 Develop and deploy cutting-edge generative AI &amp; Agentic AI applications.
 </li>
 <li>
 Implement MLOps practices - model training, evaluation, deployment, monitoring, and maintenance.
 
 
 </li>
 </ul>
</div>

Senior Engineer AI

Thomson Reuters

<div>
 Are you passionate about building AI-driven software that transforms how professionals work? Join a dynamic and highly skilled team at Thomson Reuters, where we invest deeply in AI technologies and explore emerging fields with the backing of a global leader.As a Senior Software Engineer &ndash; AI, you will play a key role in developing intelligent systems that power the next generation of expert solutions across legal, tax, risk, and compliance domains.
 
 
 
 About The Role
 
 
 
 <ul>
 <li>
 As a Senior Software Engineer &ndash; AI, you will collaborate with a cross-functional team of product managers, UX designers, and engineers to design, build, and deliver AI-powered solutions.
 </li>
 <li>
 Architect and implement advanced AI systems, including multi-component pipelines, retrieval-augmented generation (RAG), and custom AI agents with multi-step reasoning.
 </li>
 <li>
 Integrate AI models into production software through robust APIs and scalable data pipelines.
 </li>
 <li>
 Adapt AI models and techniques to specialized domains, tailoring solutions for expert systems in areas such as legal, tax, and compliance.
 </li>
 <li>
 Evaluate and prototype cutting-edge AI techniques to solve business challenges
 </li>
 <li>
 Conduct proof-of-concept projects for new AI-driven features
 </li>
 <li>
 Stay current with AI research and emerging technologies
 </li>
 <li>
 Break down functional requirements into scalable technical specifications
 </li>
 <li>
 Mentor junior engineers and facilitate technical discussions
 </li>
 <li>
 Contribute to MLOps and LLMOps practices, both in design and implementation
 </li>
 <li>
 Act as a thought leader, sharing expertise in company-wide forums and representing the organization in emerging technology areas.
 </li>
 <li>
 Implement comprehensive testing frameworks and monitoring systems for AI model performance
 </li>
 <li>
 Ensure compliance with ethical AI principles and security standards
 </li>
 <li>
 Conduct systems analysis and recommend operational improvements
 </li>
 <li>
 Work closely with AI researchers, engineers, designers and product teams to translate AI capabilities into real-world applications.
 </li>
 <li>
 Optimize AI system performance considering factors like latency and resource usage
 </li>
 <li>
 Support application feature enhancements through AI capabilities.
 
 
 </li>
 </ul>
 
 About You
 
 
 
 You are a fit for the position of Senior Software Engineer- AI if your background includes:
 
 
 <ul>
 <li>
 Bachelor's degree in computer science or equivalent experience
 </li>
 <li>
 5+ years of experience in software engineering; at least 2 years focused on AI/ML
 </li>
 <li>
 Proficiency in Python and experience with AI/ML frameworks (e.g., PyTorch, TensorFlow)
 </li>
 <li>
 Strong understanding of machine learning principles, evaluation, and system design
 </li>
 <li>
 Knowledge of MLOps and the end-to-end lifecycle of AI-powered software applications
 </li>
 <li>
 Experience integrating AI models into production systems using APIs and data pipelines
 </li>
 <li>
 Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization tools (e.g., Docker, Kubernetes)
 </li>
 <li>
 Excellent problem-solving skills and ability to work independently in a fast-paced environment
 </li>
 <li>
 Strong communication skills and experience working in cross-functional teams.
 </li>
 <li>
 Experience with AI-driven systems, agent-based architectures, or AI APIs from providers like OpenAI and Anthropic.
 </li>
 <li>
 Knowledge of vector databases, embeddings, or search-based AI.
 </li>
 <li>
 Domain knowledge in legal, tax, or accounting
 </li>
 <li>
 A portfolio of projects demonstrating creativity and skill building solutions with LLMs.
 
 
 </li>
 </ul>
 
 What&rsquo;s in it For You?
 
 
 
 <ul>
 <li>
 Hybrid Work Model: We&rsquo;ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected.
 </li>
 <li>
 Flexibility &amp; Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance.
 </li>
 <li>
 Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow&rsquo;s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.
 </li>
 <li>
 Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.
 </li>
 <li>
 Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.
 </li>
 <li>
 Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.
 </li>
 <li>
 Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.
 
 
 </li>
 </ul>
 
 About Us
 
 
 
 Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news.
 
 
 We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.
 
 
 As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace.
 
 
 We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here.
 
 
 Learn more on how to protect yourself from fraudulent job postings here.
 
 
 More information about Thomson Reuters can be found on thomsonreuters.com.
 
 
</div>

Senior Software Engineer -AI

Deloitte

<div>
 
 Summary
 
 
 
 
 Position Summary
 
 
 
 Applied AI Engineer II
 
 
 Role Overview: As a n Applied AI Engineer II , you will actively engage in your engineering craft, taking a hands-on approach to building and enhancing high-visibility, full-stack products that serve the business and its users. Your expertise will be pivotal in delighting customers and users, while driving tangible value across Deloitte &rsquo; s product and AI investments. You will leverage your engineering craftsmanship across full-stack software engineering and modern frameworks&mdash;together with applied AI fluency that lets you build GenAI and agentic capabilities directly into the products you deliver&mdash;consistently demonstrating your strong track record in delivering high-quality, outcome-focused solutions . The ideal candidate will be a dependable team player, collaborating with cross-functional teams to design, build, and ship products end to end, from concept through production .
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Outcome-Driven Accountability: Embrace and drive a culture of accountability for customer and business outcomes&mdash;and for the cost of achieving them. Develop engineering solutions that solve complex problems with valuable outcomes, ensuring high-quality, lean designs and implementations, and owning the inference, token, and cloud cost of what you build .
 </li>
 <li>
 Technical Leadership and Advocacy: Serve as the technical advocate for products, ensuring code integrity, feasibility, and alignment with business and customer goals. Participate in requirement analysis, component design, development, testing, integrations, and support.
 </li>
 <li>
 Engineering Craftsmanship: Maintain accountability for code-design integrity, implementation fidelity to architecture and tech stack, quality, data, and ongoing maintenance and operations . Be hands-on, self-driven, and continuously learn new approaches, languages, and frameworks. C reate technical specifications, and write high-quality, supportable , scalable code ensuring all quality KPIs are met or exceeded . Demonstrate collaborative skills to work effectively with diverse teams.
 </li>
 <li>
 Customer-Centric Engineering: Develop lean engineering solutions through rapid, inexpensive experimentation to solve customer needs. Engage with customers and product teams before, during, and after delivery to ensure the right solution is delivered at the right time.
 </li>
 <li>
 Incremental and Iterative Delivery: Adopt a mindset that favors action and evidence over extensive planning. Utilize a leaning-forward approach to navigate complexity and uncertainty, delivering lean, supportable, and maintainable solutions.
 </li>
 <li>
 Cross-Functional Collaboration and Integration: Work collaboratively with empowered, cross-functional teams including product management, experience, and delivery. Integrate diverse perspectives to make well-informed decisions that balance feasibility, viability, usability, and value. Foster a collaborative environment that enhances team synergy and innovation.
 </li>
 <li>
 Advanced Technical Proficiency: Possess expertise in modern software engineering practices and principles, including AI and Agentic SSDLC to deliver daily product deployments using full automation from discovery to production to operations with all quality checks through S SDLC lifecycle . Learn to be a role model, leveraging these techniques to optimize solutioning and product delivery. Demonstrate understanding of the full lifecycle product development, focusing on continuous improvement and learning.
 </li>
 <li>
 Domain Expertise: Quickly acquire domain-specific knowledge relevant to the business or product. Translate business/user needs, architectures, and UX/UI designs into technical specifications and code. Be a valuable, flexible, and dedicated team member, supportive of teammates, and focused on quality and tech debt payoff.
 </li>
 <li>
 Effective Communication and Influence: Exhibit exceptional communication skills, capable of articulating complex technical concepts clearly and compellingly. Inspire and influence teammates and product teams through well-structured arguments and trade-offs supported by evidence. Create coherent narratives that align technical solutions with business objectives.
 </li>
 <li>
 Engagement and Collaborative Co-Creation: Engage and collaborate with product engineering teams at all organizational levels, including customers as needed. Build and maintain constructive relationships, fostering a culture of co-creation and shared momentum towards achieving product goals. Align diverse perspectives and drive consensus to create feasible solutions.
 
 
 </li>
 </ul>
 The team:  US Deloitte Technology Product Engineering has modernized software and product delivery, creating a scalable, cost-effective model that focuses on value/outcomes that leverages a progressive and responsive talent structure. As Deloitte&rsquo;s primary internal development team, Product Engineering delivers innovative digital solutions to businesses, service lines, and internal operations with proven bottom-line results and outcomes. It helps power Deloitte&rsquo;s success. It is the engine that drives Deloitte, serving many of the world&rsquo;s largest, most respected companies. We develop and deploy cutting-edge internal and go-to-market solutions that help Deloitte operate effectively and lead in the market. Our reputation is built on a tradition of delivering with excellence.
 
 
 The successful candidate will possess:
 
 
 <ul>
 <li>
 Excellent interpersonal and organizational skills, with the ability to handle diverse situations, complex projects, and changing priorities, behaving with passion, empathy, and care.
 
 
 </li>
 </ul>
 Required Qualifications:
 
 
 <ul>
 <li>
 A bachelor&rsquo;s degree in computer science, software engineering, data science, machine learning, or related discipline. Experience is the most relevant factor .
 </li>
 <li>
 3 + years of experience with most of the following: Angular, React, NodeJS, Python, C#, .NET, Java, SQL/NoSQL, PyTorch, TensorFlow, LangChain, LangGraph, as well as unit testing frameworks .
 </li>
 <li>
 2 + years of experience building AI/ML and agentic applications, with hands-on GenAI experience across LLM integration (OpenAI, Anthropic, or open-source models), RAG pipelines, prompt engineering, vector databases, evaluations, and AI agent orchestration .
 </li>
 <li>
 2 + years of experience with cloud-native engineering, using FaaS, PaaS, or micro-services on any of the cloud hyperscalers such as Azure, AWS, or GCP, including their AI/ML services such as Azure OpenAI, AWS Bedrock, or Vertex AI, plus application-level infrastructure-as-code and cost-aware engineering (FinOps accountability ) .
 </li>
 <li>
 Prior software engineering experience with the understanding of Business Context Diagrams (BCD), sequence/activity/state/entity relationship/data flow diagrams, OOP/OOD, data structures, algorithms, and code instrumentations, and AI-augmented spec-driven development.
 </li>
 <li>
 Prior experience using methodologies &amp; tools such as XP, Lean, DevSecOps, SRE, ADO, GitHub, SonarQube, MLflow , and agentic AI frameworks (e.g. LangFuse, LangSmith, or equivalent multi-agent orchestration tools) etc. to deliver high-quality products rapidly .
 
 
 </li>
 </ul>
 Other:
 
 
 <ul>
 <li>
 Ability to travel 10%, on average, based on the work you do and products you build.
 </li>
 <li>
 Limited immigration sponsorship may be available. #pxe
 
 
 </li>
 </ul>
 
 Our purpose
 
 
 
 Deloitte&rsquo;s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities.
 
 
 
 Our people and culture
 
 
 
 Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ways of thinking, ideas and perspectives, and bring more creativity and innovation to help solve our clients&rsquo; most complex challenges. This makes Deloitte one of the most rewarding places to work.
 
 
 
 Professional development
 
 
 
 At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India .
 
 
 
 Benefits To Help You Thrive
 
 
 
 At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially&mdash;and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you.
 
 
 
 Recruiting tips
 
 
 
 From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters.
 
 
 Requisition code: 361557
</div>

Applied AI Engineer - Software Engineer II

Explore 9+ Professional machine learning engineer in Mangaluru this September. Find roles across top companies and apply now to boost your career.

9 professional machine learning engineer jobs In Mangaluru

AI / ML Engineer

Senior Machine Learning Engineer

Senior AI Engineer

AI / ML Engineer

Senior Engineer AI

Senior Software Engineer -AI

Applied AI Engineer - Software Engineer II