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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

Danaher Corporation

<div>
 At first glance, you&rsquo;ll see Danaher&rsquo;s scale. Our 65,000+ associates work across the globe at more than 15 unique operating companies within three platforms&mdash;life sciences, diagnostics, and biotechnology.
 
 
 Look again and you&rsquo;ll see the opportunity to build a meaningful career, be creative, and take risks with the support you need to be successful. You&rsquo;ll find associates who are as certain about their impact as they are about where they&rsquo;re headed next.
 
 
 You&rsquo;ll find the Danaher Business System, which makes everything possible. You&rsquo;ll also see a company that investors trust&mdash;our culture of continuous improvement has helped us outperform the S&amp;P 500 by more than 5,000% over the past 25 years.
 
 
 The Senior Supply Chain Data Scientist will join the Supply Chain AI team, reporting to Principal Supply Chain AI Scientist. This role is responsible for developing and deploying OR, ML and AI models to optimize supply chain functions across the enterprise. This role will be working remotely.
 
 
 
 In this role, you will have the opportunity to:
 
 
 
 <ul>
 <li>
 Lead the design, development, and implementation of OR/AI/ML models tailored to supply chain subject areas such as demand forecasting and sensing, inventory optimization, transportation and logistics routing, supplier risk prediction, production planning and network optimization.
 </li>
 <li>
 Develop and deploy generative AI models for supply chain use cases, fine-tuning large pre-trained LLMs, evaluating modeling performance; continuously iterate and optimize the solutions.
 </li>
 <li>
 Collaborate with cross-functionally with supply chain, engineering, IT, and business solution implementation team to align technical solutions with business needs.
 </li>
 <li>
 Partners with solution architect engineer to enable appropriate data flow/data model, development using appropriate tools/technology to ensure rapid prototyping, testing and deployment
 </li>
 <li>
 Ensure models are robust, scalable, and production ready with clear monitoring and feedback loops.
 </li>
 <li>
 Stay ahead of the curve on related emerging technologies and bring innovative approaches to supply chain optimization
 
 
 </li>
 </ul>
 
 The essential requirements of the job include:
 
 
 
 <ul>
 <li>
 PhD or Master&rsquo;s degree in Computer Science, Data Science, Operations Research, Industrial Engineering, or a related field.
 </li>
 <li>
 5+ years of experience in applied OR/AI/ML roles, with at least 3 years focused on supply chain problems
 </li>
 <li>
 Strong expertise in optimization, regression, classification, time series, deep learning.
 </li>
 <li>
 Proficiency in programming languages such as Python, Java, Scala or similar
 </li>
 <li>
 Strong hands-on knowledge in developing/implementing Operations Research models and Machine Learning models to solve supply chain related problems
 </li>
 <li>
 Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms such as AWS, Snowflake etc.
 </li>
 <li>
 Strong communication skills to engage with technical and non-technical stakeholders
 
 
 </li>
 </ul>
 
 It would be a plus if you also possess previous experience in:
 
 
 
 <ul>
 <li>
 Knowledge of core business processes (Supply Chain, Operations) obtained by directly working in these functions is preferred.
 </li>
 <li>
 Experience with AI agent solution development
 </li>
 <li>
 Familiarity with ERP enterprise supply chain systems like Oracle, SAP
 
 
 </li>
 </ul>
 Join our winning team today. Together, we&rsquo;ll accelerate the real-life impact of tomorrow&rsquo;s science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life.
 
 
 For more information, visit www.danaher.com.
</div>

Senior Data Scientist, Supply Chain

Capgemini

<div>
 
 Job Description
 
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Design, build, and deploy Generative AI models using foundational models like GPT, BERT, LLaMA, PaLM, etc.
 </li>
 <li>
 Develop scalable GenAI applications and integrate with enterprise systems using APIs and SDKs.
 </li>
 <li>
 Fine-tune and optimize large language models (LLMs) for domain-specific use cases.
 </li>
 <li>
 Design, implement, and manage end-to-end machine learning pipelines on Microsoft Azure, leveraging services like Azure Machine Learning, Azure DevOps, and Kubernetes.
 </li>
 <li>
 Collaborate with data scientists to productionize ML models using best practices in Azure MLOps.
 </li>
 <li>
 Automate the deployment and monitoring of models using CI/CD pipelines and Azure DevOps tools.
 </li>
 <li>
 Implement scalable model training, validation, and deployment workflows in the cloud.
 </li>
 <li>
 Monitor model performance in production and retrain models as needed to maintain accuracy and reliability.
 </li>
 <li>
 Ensure security, compliance, and governance of ML workflows and data.
 </li>
 <li>
 Develop Python scripts and tools to automate repetitive tasks and improve operational efficiency.
 </li>
 <li>
 Troubleshoot and optimize ML workflows for performance and cost-effectiveness.
 </li>
 <li>
 Document architecture, processes, and operational procedures.
 
 
 </li>
 </ul>
 
 Qualification:
 
 
 
 <ul>
 <li>
 Hands-on experience with transformer-based models (e.g., GPT, BERT, LLaMA, etc.)
 </li>
 <li>
 Familiarity with tools like LangChain, LlamaIndex, Haystack, etc.
 </li>
 <li>
 Experience in prompt engineering, retrieval-augmented generation (RAG), and model fine-tuning.
 </li>
 <li>
 Proven experience in MLOps, specifically with Azure services.
 </li>
 <li>
 Strong programming skills in Python
 </li>
 <li>
 Experience with Hugging Face Transformers, PyTorch or TensorFlow.
 </li>
 <li>
 REST APIs and/or gRPC for model integration.
 </li>
 <li>
 Experience with Azure Databricks, Azure Machine Learning, Azure OpenAI
 </li>
 <li>
 Familiarity with ML libraries (scikit-learn, TensorFlow, PyTorch).
 </li>
 <li>
 Experience building and managing CI/CD pipelines for ML models using Azure DevOps or equivalent tools.
 </li>
 <li>
 Building REST APIs for ML inference using frameworks like FastAPI or Flask.
 </li>
 <li>
 Understanding of containerization technologies like Docker and orchestration using Kubernetes.
 </li>
 <li>
 Knowledge of machine learning lifecycle management, model versioning, and deployment strategies.
 </li>
 <li>
 Experience with data engineering, data pipelines, and ETL processes on Azure.
 </li>
 <li>
 Familiarity with monitoring tools and logging frameworks for production systems.
 </li>
 <li>
 Strong problem-solving skills and ability to work in a collaborative, fast-paced environment.
 
 
 </li>
 </ul>
 
 Technical Skills:
 
 
 
 <ul>
 <li>
 GenAI models: GPT, BERT, LLaMA, PaLM
 </li>
 <li>
 Framework: PyTorch or TensorFlow
 </li>
 <li>
 Cloud Platforms: Microsoft Azure (Azure ML, Azure Databricks, AKS, Azure DevOps)
 </li>
 <li>
 Programming Languages: Python
 </li>
 <li>
 CI/CD Tools: Azure DevOps, GitHub Actions, Jenkins
 </li>
 <li>
 Containerization: Docker, Kubernetes
 </li>
 <li>
 Data Storage &amp; Processing: Azure Blob Storage, Azure SQL, Azure Data Factory
 </li>
 <li>
 Monitoring &amp; Logging: Azure Monitor, Application Insights, Prometheus, Grafana
 
 
 </li>
 </ul>
 
 Mandatory Skills
 
 
 
 GPT/BERT/LLaMA, MLOps, Python, Azure Databricks, Azure Machine Learning, Azure OpenAI, GenAI applications, Transformer-based models
 
 
 Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders.
 
 
 
 Job Description - Grade Specific
 
 
 
 Has more than a year of relevant work experience. Solid understanding of programming concepts, software design and software development principles. Consistently works to direction with minimal supervision, producing accurate and reliable results. Individuals are expected to be able to work on a range of tasks and problems, demonstrating their ability to apply their skills and knowledge. Organises own time to deliver against tasks set by others with a mid term horizon. Works co-operatively with others to achieve team goals and has a direct and positive impact on project performance and make decisions based on their understanding of the situation, not just the rules.
</div>

Data Scientist | 3 to 6 Years

Netcore Cloud

<div>
 
 
 
 Who We Are:
 
 
 
 
 Netcore Cloud is a MarTech platform helping businesses design, execute, and optimize campaigns across multiple channels. With a strong focus on leveraging data, machine learning, and AI, we empower our clients to make smarter marketing decisions and deliver exceptional customer experiences. Our team is passionate about innovation and collaboration, and we are looking for a talented Senior Data Scientist to join our team and work on impactful, high-scale projects.
 
 
 
 
 
 
 Role Summary:
 
 
 
 As a Senior Data Scientist, you&rsquo;ll work on developing, deploying, and optimizing advanced machine learning solutions across a range of problem statements such as personalization, customer segmentation, predictive modeling, and NLP. This is a high-impact role that will allow you to collaborate across cross-functional teams and contribute directly to our product innovation roadmap.
 
 
 
 
 
 
 
 What You'll Do:
 
 
 
 
 
 Model Development and Innovation
 
 :
 
 <ul>
 <li>
 Design and implement ML models for problems including recommendation engines, user segmentation, conversion prediction, and NLP-based automation
 </li>
 <li>
 Stay on top of the latest research in AI/ML and evaluate new approaches (e.g., LLMs, generative AI) for practical application.
 </li>
 <li>
 Optimise model performance, scalability, and interpretability for production systems.
 </li>
 </ul>
 
 
 MLOps &amp; Deployment
 
 
 <ul>
 <li>
 Contribute to the deployment of models into production environments using MLOps best practices.
 </li>
 <li>
 Leverage platforms such as AWS SageMaker or Google Vertex AI for training, tuning, and scaling models.
 </li>
 </ul>
 
 
 Data &amp; Experimentation
 
 
 <ul>
 <li>
 Work with large-scale, real-time datasets to derive actionable insights and build data pipelines for ML training and evaluation.
 </li>
 <li>
 Design and run experiments (A/B testing, uplift modeling, etc.) to validate hypotheses and improve product KPIs.
 </li>
 </ul>
 
 
 Technology and Tools
 
 :
 
 <ul>
 <li>
 Work with large-scale datasets, ensuring data quality and scalability of solutions.
 </li>
 <li>
 Leverage cloud platforms like AWS, GCP for model training and deployment.
 </li>
 <li>
 Utilize tools and libraries such as Python, TensorFlow, PyTorch, Scikit-learn, and Spark for development.
 </li>
 <li>
 With so much innovation happening around Gen AI and LLMs, we prefer folks who have already exposed themselves to this exciting opportunity via AWS Bedrock or Google Vertex.
 </li>
 </ul>
 
 
 Cross-functional Collaboration
 
 
 <ul>
 <li>
 Partner with product, engineering, and marketing teams to understand business requirements and translate them into data science solutions.
 </li>
 </ul>
 
 
 
 
 
 
 Who You Are:
 
 
 
 
 
 Education
 
 :
 
 <ul>
 <li>
 Bachelors from Tier 1 premier institute in relevant field, or;
 </li>
 <li>
 Master&rsquo;s or PhD in Computer Science, Data Science, Mathematics, or a related field.
 </li>
 </ul>
 
 
 Experience
 
 :
 
 <ul>
 <li>
 
 4&ndash;6 years
 
 of hands-on experience in machine learning or data science roles.
 </li>
 <li>
 Proven expertise in machine learning, deep learning, NLP, and recommendation systems.
 </li>
 <li>
 Hands-on experience deploying ML models in production at scale.
 </li>
 <li>
 Experience in a product-focused or customer-facing domain such as Martech, Adtech, or B2B SaaS is a plus.
 </li>
 </ul>
 
 
 Technical Skills
 
 :
 
 <ul>
 <li>
 Proficiency in Python, SQL, and ML frameworks like TensorFlow or PyTorch.
 </li>
 <li>
 Strong understanding of statistical methods, predictive modeling, and algorithm design.
 </li>
 <li>
 Familiarity with cloud-based solutions (AWS Sagemaker, GCP AI Platform, or similar).
 </li>
 </ul>
 
 
 Soft Skills
 
 :
 
 <ul>
 <li>
 Strong analytical and problem-solving mindset.
 </li>
 <li>
 Excellent communication skills to articulate data-driven insights.
 </li>
 <li>
 A passion for innovation and staying up-to-date with the latest trends in AI/ML.
 </li>
 </ul>
 
 
 
 
 
 
 Why Join Us:
 
 
 
 <ul>
 <li>
 Opportunity to work on cutting-edge AI/ML projects impacting millions of users.
 </li>
 <li>
 Be part of a collaborative, innovation-driven team in a fast-growing Martech company.
 </li>
 <li>
 Competitive compensation and growth opportunities in a fast-paced environment.
 </li>
 </ul>
 
 
 
 
 We&rsquo;d love to hear how your background can contribute to building the next generation of intelligent marketing solutions. Apply now or reach out for a conversation. :)
 
</div>

Senior Data Scientist

Acunor

<div>
 
 
 Job Title:
 
 Data Scientist - Forecasting &amp; AI Strategy
 
 
 
 Location:
 
 Bangalore
 
 
 
 Experience:
 
 8-12 years
 
 
 
 Type:
 
 Full-time
 
 
 
 
 
 
 Role Overview
 
 
 
 We are seeking an experienced
 
 Data Scientist
 
 with expertise in
 
 forecasting, Python, and Databricks
 
 to drive advanced analytics initiatives. This role focuses on
 
 forecasting and elasticity models
 
 to strengthen pricing, demand planning, and business optimization strategies. You will play a critical role in designing, deploying, and scaling machine learning solutions on
 
 Azure and Databricks
 
 , ensuring real-world impact and adoption.
 
 
 
 
 
 
 Key Tasks and Accountabilities
 
 
 <ul>
 <li>
 Translate complex business challenges into analytical problems and deliver actionable insights.
 </li>
 <li>
 Own the
 
 end-to-end AI/ML lifecycle
 
 &ndash; data preprocessing, feature engineering, model training, validation, deployment, and monitoring.
 </li>
 <li>
 Build and deploy
 
 forecasting models (time-series, regression, ML-based, deep learning)
 
 for demand planning, promotions, and pricing optimization.
 </li>
 <li>
 Develop reusable and modular Python code following
 
 OOP best practices
 
 .
 </li>
 <li>
 Architect and optimize workflows on
 
 Azure Databricks
 
 , ensuring scalability and automation with
 
 Airflow/MLFlow
 
 .
 </li>
 <li>
 Apply
 
 MLOps practices
 
 , including containerization (Docker) and CI/CD pipelines (GitHub).
 </li>
 <li>
 Collaborate with cross-functional teams (data engineering, product, commercial, finance) to deliver production-ready forecasting solutions.
 </li>
 <li>
 Mentor and guide mid-level/junior data scientists, fostering a culture of technical excellence.
 </li>
 <li>
 Clearly communicate technical findings and business impact to both
 
 technical and non-technical stakeholders
 
 , including leadership teams.
 </li>
 </ul>
 
 
 
 
 
 Qualifications, Experience, Skills
 
 
 
 
 
 
 
 Education:
 
 
 <ul>
 <li>
 B.Tech/BE/Masters in Computer Science, Data Science, AI/ML, Statistics, or related field.
 </li>
 </ul>
 
 
 
 
 
 Experience:
 
 
 <ul>
 <li>
 
 8&ndash;12 years of relevant experience
 
 in data science and advanced analytics.
 </li>
 <li>
 Proven track record in
 
 forecasting models
 
 (ARIMA, Prophet, regression, ML ensembles, deep learning for time-series).
 </li>
 <li>
 Strong expertise in
 
 Python (with OOP principles)
 
 and
 
 PySpark
 
 .
 </li>
 <li>
 Hands-on experience with
 
 Azure cloud, Databricks, MLFlow
 
 , and workflow orchestration (Airflow).
 </li>
 <li>
 Practical experience with
 
 MLOps and containerization tools
 
 (Docker/Kubernetes).
 </li>
 <li>
 Strong background in deploying
 
 end-to-end ML solutions into production
 
 .
 </li>
 </ul>
 
 
 
 
 
 Must Have Skills:
 
 
 <ul>
 <li>
 Forecasting &amp; Predictive Modeling (Time-series, ML-based, Deep Learning)
 </li>
 <li>
 Python, PySpark, Databricks (advanced proficiency)
 </li>
 <li>
 Azure Cloud ML Stack (MLFlow, Airflow, CI/CD, Git)
 </li>
 <li>
 Strong problem-solving and communication skills
 </li>
 </ul>
 
 
 
 
 
 Good to Have:
 
 
 <ul>
 <li>
 Exposure to
 
 Pricing and Revenue Management domains
 
 </li>
 <li>
 Product-building experience
 </li>
 <li>
 Experience working in global, cross-functional teams
 </li>
 </ul>
 
 
</div>

Data Scientist

Explore 191+ Ai ml engineer in Mangaluru this September. Find roles across top companies and apply now to boost your career.