software engineer

engineering manager

software engineer i

ai engineer

applied ai/ml - analyst Jobs in Mangaluru

applied ai/ml - analyst

ai/ml engineer

True ValueHub, Inc.

<div>
 
 
 TrueValue Hub
 
 is an AI native B2B SaaS solution for direct material sourcing for manufacturing companies. We help manufacturing companies save cost on their direct material procurement, reduce sourcing cycle time, and new product introduction time to market. We provide detailed cost insights of custom design parts for buyers and suppliers, a secure collaboration platform, and a marketplace to collaborate on cost. We have a working product and are currently piloting the product with a few select large enterprise clients.
 
 
 
 
 
 We seek experienced
 
 AI/ML Engineers
 
 with expertise in developing AI/ML solutions to join our engineering team. We are looking for a candidate who is passionate about artificial intelligence, machine learning, and computational statistics. This role involves designing and implementing algorithms and models.
 
 
 
 
 
 
 Responsibilities:
 
 
 
 
 Machine Learning Model Development:
 
 
 <ul>
 <li>
 Write clean, efficient, and maintainable code in Python.
 </li>
 <li>
 Develop, and deploy machine learning models that address real-world business challenges.
 </li>
 <li>
 This includes data preprocessing, feature engineering, model selection, and hyperparameter tuning.
 </li>
 <li>
 Collaborate with senior data scientists and developers to integrate machine learning algorithms into applications, train and test ML models, and manage the required datasets.
 </li>
 </ul>
 
 
 
 
 
 Data Pipelines:
 
 
 <ul>
 <li>
 Create and maintain data pipelines for efficient data processing and model training.
 </li>
 <li>
 Write database queries using SQL to retrieve required data.
 </li>
 </ul>
 
 
 
 
 
 Model Evaluation:
 
 
 <ul>
 <li>
 Assist in debugging, testing, and improving applications.
 </li>
 <li>
 Rigorous testing and validation procedures to assess model performance
 </li>
 </ul>
 
 
 
 
 
 Qualifications:
 
 
 <ul>
 <li>
 Minimum of 3+ years of experience in AI/ML developing advanced solutions.
 </li>
 <li>
 Bachelor&rsquo;s degree in engineering or a related field. Master's degree is a plus.
 </li>
 <li>
 Proficiency in programming languages like Python, R, C++, or similar,
 </li>
 <li>
 Proficiency in using machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn).
 </li>
 <li>
 Strong understanding of statistical analysis and data preprocessing techniques.
 </li>
 <li>
 Solid knowledge of deep learning, natural language processing, and computer vision.
 </li>
 <li>
 Experience in manufacturing and supply chain a plus.
 </li>
 <li>
 Excellent analytical and problem-solving skills with the ability to interpret complex cost data and identify cost drivers.
 </li>
 <li>
 Good communication and interpersonal skills, with the ability to present cost analysis findings and recommendations to stakeholders.
 </li>
 <li>
 Strong attention to detail, organization, and time management skills
 </li>
 </ul>
</div>

AI/ML Engineer

Sony India

<div>
 We are looking for an experienced AI/ML Engineer, who can execute projects end to end and take then to production pipeline. The candidate is expected to lead the AI/ML work across multiple projects, working along with other ML Engineers , ensuring clear understanding and translation of requirements for the team and proposing optimized solutions. He / She would also need to work on Ad hoc timebound POC&rsquo;s.
 
 
 Capability building and team upskill would also be expected from him / her. We would want him / her to share the knowledge with other team members and bring them up to the same level , which includes conducting learning sessions across teams and monitoring the progress of the team members.
 
 
 <ul>
 <li>
 Design and develop various machine learning and deep learning models and systems for high impact consumer applications ranging from predictive safety, content personalization&rsquo;s, search, virtual assistant, time series forecasting and more.
 </li>
 <li>
 Work with a broad spectrum of state-of-the-art machine learning and deep learning technologies, in the areas of various machine learning problems such as multilingual text classification, language modelling and multi-modal learning.
 </li>
 <li>
 Create metrics and configure A/B testing to evaluate model performance offline and online to inform and convey our impacts to diverse groups of stakeholders.
 </li>
 <li>
 Analyse and produce insights from a large amount of dynamic structured and unstructured data using modern big data and streaming technologies
 </li>
 <li>
 Produce reusable code according to standard methodologies in Python, Scala or Java
 </li>
 <li>
 Collaborate with cross-functional teams of technical members and non-technical members in architecture, design, and code reviews.
 
 
 </li>
 </ul>
 Strong Python programming skills
 
 
 
 [Good to have Skills]:
 
 
 
 <ul>
 <li>
 SQL, Data Analysis , Gaming Industry knowledge
 </li>
 </ul>
</div>

ML Engineer

Weekday AI (YC W21)

<div>
 This role is for one of Weekday's clients
 
 
 Location: Bangalore
 
 
 JobType: full-time
 
 
 
 Requirements
 
 
 
 This is your chance to become a
 
 Co-Founder &amp; CTO.
 
 You will not only lead technology but become a true partner in changing the future of voice AI in business communication an industry ripe for disruption. Our platform already powers campaigns totaling over
 
 50,000 calls
 
 and helps clients unlock unprecedented sales efficiency.
 
 
 
 What You Will Own
 
 
 
 <ul>
 <li>
 Lead the technical vision and execution to build and scale state-of-the-art voice AI systems that rival global leaders
 </li>
 <li>
 Architect advanced AI/ML models focused on voice, enabling human-like conversations that automate sales, bookings, lead qualification, and more
 </li>
 <li>
 Drive product innovation that allows businesses to build powerful voice agents in minutes and deliver industry-leading customization for complex use cases
 </li>
 <li>
 Build and mentor a high-caliber engineering team, fostering an ownership culture driven by impact and innovation
 </li>
 <li>
 Partner with the team to shape company strategy, product roadmap, and customer success
 </li>
 <li>
 Ensure robust, scalable infrastructure to support growth and real-time AI processing at scale.
 
 
 </li>
 </ul>
 
 What We are Looking For
 
 
 
 <ul>
 <li>
 A data scientist and AI/ML engineer with hands-on expertise in voice AI, natural language processing, and scalable machine learning, model fine-tuning
 </li>
 <li>
 Strong startup experience and an entrepreneurial mindset, comfortable with rapid iteration, ambiguity, and doing whatever it takes to win
 </li>
 <li>
 Passion for building technology that changes the world by transforming customer engagement through AI
 </li>
 <li>
 Proven ability to deploy AI models into production and fine-tune them using real-world data, ideally demonstrated by successes in voice or conversational AI
 </li>
 <li>
 Hands-on technical leader who thrives in a co-founder role, balancing visionary strategy with deep technical execution
 </li>
 <li>
 Equity-based partner aligned with our journey and rewards as we grow from an exciting startup to an industry disruptor.
 
 
 </li>
 </ul>
 
 What You will Join
 
 
 
 <ul>
 <li>
 A high-impact startup with real customers and proven traction.
 </li>
 <li>
 Projects with expressions of interest from top hotel chains already arriving
 </li>
 <li>
 A culture of innovation, ownership, and ambition, a place where your technical expertise drives not just product but company destiny
 </li>
 <li>
 An opportunity to make history together in the Indian and global AI voice ecosystem alongside passionate team
 </li>
 <li>
 Interested in shaping the future of voice AI and making a lasting global impact? Connect with us at pintu@calllive.ai to embark on this transformative journey together
 </li>
 </ul>
</div>

Co-Founder & CTO

Chevron

<div>
 
 About The Position
 
 
 
 Chevron invites applications for the role of Data Scientist within our Enterprise AI team in India. This position is integral to designing and developing AI/ML models that significantly accelerate the delivery of business value. The successful candidate will be working with business stakeholders to prototype and deliver innovative data science applications that add value to Chevron&rsquo;s business. This position will provide broad exposure to the application of technology to enable business with many opportunities for growth and professional development for the candidate.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Combine expertise in mathematics, statistics, computer science, and domain knowledge to create AI/ML models to solve various Chevron business challenges
 </li>
 <li>
 Collaborate closely with the AI Technical Manager and GCC Petro-technical professionals and data engineers to integrate models into the business framework.
 </li>
 <li>
 Identify and frame opportunities to apply advanced analytics, modeling, and related technologies to data to help Chevron businesses gain insight and improve decision making, workflow, and automation.
 </li>
 <li>
 Understand and communicate the value of proposed opportunity with team members and other stakeholders.
 </li>
 <li>
 Identify needed data and appropriate technology to solve identified business challenges.
 </li>
 <li>
 Clean data and develop and test models.
 </li>
 <li>
 Establish the life cycle management process for models.
 </li>
 <li>
 Provide technical mentoring in modelling and analytics technologies, the specifics of the modelling process, and general consulting skills.
 </li>
 <li>
 Drive innovation in AI/ML to enhance Chevron's capabilities in data-driven decision-making.
 </li>
 <li>
 Aligns with team on shared goals and outcomes, recognizes others&rsquo; contributions, and work collaboratively &amp; seek diverse perspectives.
 </li>
 <li>
 Takes actions to develop self and others beyond existing skillset.
 </li>
 <li>
 Encourages innovative ideas, adapts to change and changing technologies
 </li>
 <li>
 Understand and communicate data, insights, and model behaviors to stakeholders with varying levels of technical expertise.
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 Minimum 5 years of experience in designing and developing AI/ML models and/or various optimization algorithms. 5 - 10 years of experience
 </li>
 <li>
 Solid foundation in mathematics, probability, and statistics with demonstrated depth of knowledge and experience in advanced analytics and data science methodologies (e.g. supervised and unsupervised learning, statistics, data science model development)
 </li>
 <li>
 Proficiency in Python and working knowledge of cloud AI/ML services (Azure Machine Learning and Databricks preferred)
 </li>
 <li>
 Domain knowledge relevant to the energy sector and working knowledge of Oil and Gas value chain (e.g., upstream, midstream, or downstream) and associated business workflows.
 </li>
 <li>
 Proven ability to frame data science opportunities, leverage standard foundational tools and Azure services to perform exploratory data analysis (for purposes of data cleaning and discovery), visualize data, and identify actions to reach needed results.
 </li>
 <li>
 Ability to quickly assess current state and apply technical concepts across cross-functional business workflows.
 </li>
 <li>
 Experience with driving successful execution, deliverables, and accountabilities to meet quality and schedule goals.
 </li>
 <li>
 Ability to translate complex data into actionable insights that drive business value.
 </li>
 <li>
 Demonstrated ability to engage and establish collaborative relationships both inside and outside immediate workgroup at various organizational levels, across functional and geographic boundaries to achieve desired outcomes.
 </li>
 <li>
 Demonstrated ability to adjust behaviour based on feedback and provide feedback to others.
 </li>
 <li>
 Team-oriented mindset with effective communication skills and the ability to work collaboratively.
 
 
 </li>
 </ul>
 Chevron ENGINE supports global operations, supporting business requirements across the world. Accordingly, the work hours for employees will be aligned to support business requirements. The standard work week will be Monday to Friday. Working hours are 8:00am to 5:00pm or 1.30pm to 10.30pm.
 
 
 Chevron participates in E-Verify in certain locations as required by law.
</div>

Senior Data Scientist

Microsoft

<div>
 Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end to end, simplified solutions. The Microsoft Security organization accelerates Microsoft&rsquo;s mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers&rsquo; heterogeneous environments, as well as ensuring the security of our own internal estate. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world.
 
 
 The Defender Experts (DEX) Research team is at the forefront of Microsoft&rsquo;s threat protection strategy, combining world-class hunting expertise with AI-driven analytics to protect customers from advanced cyberattacks. Our mission is to move protection left&mdash;disrupting threats early, before damage occurs&mdash;by transforming raw signals into intelligence that powers detection, disruption, and customer trust. We&rsquo;re looking for a passionate and curious Data Scientist to join this high-impact team. In this role, you'll partner with researchers, hunters, and detection engineers to explore attacker behavior, operationalize entity graphs, and develop statistical and ML-driven models that enhance DEX&rsquo;s detection efficacy. Your work will directly feed into real-time protections used by thousands of enterprises and shape the future of Microsoft Security. This is an opportunity to work on problems that matter&mdash;with cutting-edge data, a highly collaborative team, and the scale of Microsoft behind you.
 
 
 Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Understand complex cybersecurity and business problems, translate them into well-defined data science problems, and build scalable solutions.
 </li>
 <li>
 Design and build robust, large-scale graph structures to model security entities, behaviors, and relationships.
 </li>
 <li>
 Develop and deploy scalable, production-grade AI/ML systems and intelligent agents for real-time threat detection, classification, and response.
 </li>
 <li>
 Collaborate closely with Security Research teams to integrate domain knowledge into data science workflows and enrich model development.
 </li>
 <li>
 Drive end-to-end ML lifecycle: from data ingestion and feature engineering to model development, evaluation, and deployment.
 </li>
 <li>
 Work with large-scale graph data: create, query, and process it efficiently to extract insights and power models.
 </li>
 <li>
 Lead initiatives involving Graph ML, Generative AI, and agent-based systems, driving innovation across threat detection, risk propagation, and incident response.
 </li>
 <li>
 Collaborate closely with engineering and product teams to integrate solutions into production platforms.
 </li>
 <li>
 Mentor junior team members and contribute to strategic decisions around model architecture, evaluation, and deployment.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Statistics, Applied Mathematics, Data Science, or a related quantitative field
 </li>
 <li>
 6+ years of experience applying data science or machine learning in a real-world setting, preferably in security, fraud, risk, or anomaly detection
 </li>
 <li>
 Proficiency in Python and/or R, with hands-on experience in data manipulation (e.g., Pandas, NumPy), modeling (e.g., scikit-learn, XGBoost), and visualization (e.g., matplotlib, seaborn)
 </li>
 <li>
 Strong foundation in statistics, probability, and applied machine learning techniques
 </li>
 <li>
 Experience working with large-scale datasets, telemetry, or graph-structured data Ability to clearly communicate technical insights and influence cross-disciplinary teams
 </li>
 <li>
 Demonstrated ability to work independently, take ownership of problems, and drive solutions end-to-end
 
 
 </li>
 </ul>
 Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
</div>

Senior Applied & Data scientist

COGNNA

<div>
 As an
 
 AI Engineer at COGNNA
 
 , you will be at the forefront of developing cutting-edge AI solutions that enhance our cybersecurity products. You will join our AI &amp; ML team and collaborate with top-class engineers and data scientists to design, implement, and optimize machine learning algorithms that analyze and mitigate threats in real time.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Develop and implement machine learning and deep learning algorithms to improve our threat detection capabilities
 </li>
 <li>
 Work with large datasets to train and validate models while ensuring the accuracy and performance of the AI systems
 </li>
 <li>
 Collaborate with cross-functional teams to integrate AI solutions into our existing products
 </li>
 <li>
 Research and stay updated with the latest trends and advancements in AI technologies
 </li>
 <li>
 Design, test, and deploy AI models using appropriate frameworks and tools
 </li>
 <li>
 Monitor and evaluate the performance of AI systems, implementing improvements as necessary
 </li>
 <li>
 Document processes, algorithms, and model performance for future reference and compliance
 </li>
 <li>
 Mentor junior AI engineers and contribute to team knowledge sharing
 
 
 </li>
 </ul>
 
 
 Why Join Us?
 
 
 
 
 Joining COGNNA means being part of a visionary team dedicated to solving some of today's biggest cybersecurity challenges. We encourage innovation, value contributions, and provide numerous opportunities for personal and professional growth.
 
 
 
 Ready to amplify your AI engineering skills? Apply today and help us safeguard the digital world!
 
 
 
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field
 </li>
 <li>
 3+ years of experience in AI/ML development and deployment
 </li>
 <li>
 Strong proficiency in programming languages such as Python, Java, or R
 </li>
 <li>
 Experience with machine learning frameworks like TensorFlow, PyTorch, or Scikit-Learn
 </li>
 <li>
 Solid understanding of algorithms, data structures, and statistical analysis
 </li>
 <li>
 Familiarity with neural networks and computer vision concepts
 </li>
 <li>
 Experience with data preprocessing, feature engineering, and model evaluation techniques
 </li>
 <li>
 Knowledge of cloud platforms (e.g., AWS, GCP, Azure) and their AI services
 </li>
 <li>
 Proven ability to work collaboratively in a fast-paced environment
 </li>
 <li>
 Excellent problem-solving skills and a passion for innovation
 
 
 </li>
 </ul>
 
 What We Value
 
 
 
 <ul>
 <li>
 Curiosity and a willingness to learn about new AI technologies
 </li>
 <li>
 A proactive mindset that embraces challenge and creative problem-solving
 </li>
 <li>
 Strong communication skills to convey complex ideas clearly and effectively
 </li>
 </ul>
</div>

AI Engineer

JPMorganChase

<div>
 
 Job Description
 
 
 
 You are a strategic thinker passionate about driving solutions in data science and analytics. You have found the right team.
 
 
 As an Applied AI/ML Analyst in our Data Science COE within the Firmwide Planning &amp; Analysis (FP&amp;A) organization, you will spend each day defining, refining, and delivering enhanced forecasting and analytical capabilities. You will focus on AI/ML-based solutions to boost productivity across the FP&amp;A organization. In this role, you will analyze business problems, experiment with statistical and machine learning models, and develop solutions using state-of-the-art machine learning and deep learning algorithms. You will be part of an innovative team, collaborating closely with cross-functional teams to create data-driven solutions that enhance our products, services, and business operations. We are seeking someone with a strong background in data analysis, machine learning, and statistical modeling, who is passionate about uncovering insights and solving complex problems.
 
 
 
 Job Responsibilities
 
 
 
 <ul>
 <li>
 Design, develop and successfully implement AI/ML solutions, based on state-of-the-art ML models (e.g., ChatGPT), to support various use cases such as Document Q&amp;A, Information Retrieval/Summarization, Search, etc.
 </li>
 <li>
 Collaborate with stakeholders to understand business requirements and translate them into data science projects. Assist leadership in defining the problem statements, execution roadmap.
 </li>
 <li>
 Collaborate with multiple partner teams such as Finance, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into production.
 </li>
 <li>
 Communicate findings and insights through clear and concise visualizations and reports.
 </li>
 <li>
 Stay up-to-date with the latest advancements in data science, machine learning, and related technologies. Collaborate closely with the data science/AI/ML community within the firm, actively identify and introduce off-the-shelf solutions to the FP&amp;A organization.
 </li>
 <li>
 Mentor and provide guidance to junior data scientists and analysts. Design and conduct trainings on AI/ML topics to elevate awareness and adoption of AI/ML solutions in the general Finance organization.
 </li>
 <li>
 Develop and maintain data pipelines and workflows for efficient data processing. Clean, preprocess, and validate data to ensure data quality and integrity.
 </li>
 <li>
 Conduct exploratory data analysis to identify trends, patterns, and insights from large datasets. Perform statistical analysis and hypothesis testing to support data-driven decision-making.
 
 
 </li>
 </ul>
 
 Required Qualifications, Capabilities, And Skills.
 
 
 
 <ul>
 <li>
 Engineer in Computer Science, Data Science, Statistics, Mathematics, or Machine Learning. Strong background in Mathematics and Machine Learning.
 </li>
 <li>
 1 year of experience in data science, machine learning, or a related role.
 </li>
 <li>
 Proficiency in programming languages such as Python or R.
 </li>
 <li>
 Experience with LLMs and Prompt Engineering techniques.
 </li>
 <li>
 Strong knowledge of statistical analysis and modeling techniques. Familiarity with data analysis and visualization. Experience with SQL and relational databases.
 </li>
 <li>
 Excellent problem-solving skills and attention to detail.
 </li>
 <li>
 Strong communication and collaboration skills.
 </li>
 <li>
 Ability to work independently and as part of a team.
 
 
 </li>
 </ul>
 
 ABOUT US
 
 
 
 JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
 
 
 We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
 
 
 
 About The Team
 
 
 
 Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we&rsquo;re setting our businesses, clients, customers and employees up for success.
</div>

Applied AI/ML - Analyst

Explore 273+ Ai/ml engineer in Mangaluru this September. Find roles across top companies and apply now to boost your career.