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applied scientist, india machine learning

associate machine learning engineer

Kuku FM

<div>
 
 About The Role
 
 
 
 As an Associate Machine Learning Engineer, you will be instrumental in advancing our recommendation algorithms and content embeddings, directly driving the growth and success of our Video and Audio Stories Platform.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Support Content Recommendations: Assist in building and refining recommendation algorithms to deliver personalized content to our users.
 </li>
 <li>
 Assist in Predictive Modelling: Collaborate with senior engineers to develop models that predict user behaviour and content preferences.
 </li>
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 Data Analysis &amp; Optimization: Help analyse user behaviour and content performance to identify trends that drive engagement and retention.
 </li>
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 Experimentation &amp; Testing: Support A/B testing efforts to assess the effectiveness of recommendations and content strategies.
 </li>
 <li>
 Collaborate Across Teams: Work closely with engineering, and product teams to integrate machine learning models into the platform.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 0-1 years of experience in machine learning or data science.
 </li>
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 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Machine Learning, or related fields.
 </li>
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 Good knowledge of Python, DSA, and exposure to machine learning techniques like classification, regression, clustering and recommendation systems.
 </li>
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 Enthusiasm for learning and working in a fast-paced, team-oriented environment.
 </li>
 <li>
 Interest in content and user experience.
 
 
 </li>
 </ul>
 
 Preferred Additional Skills
 
 
 
 <ul>
 <li>
 Familiarity with cloud services (AWS, GCP), SQL, or big data tools like Spark.
 </li>
 <li>
 Passion for recommendation systems and content embeddings.
 </li>
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 Master&rsquo;s from Tier-1 colleges
 
 
 </li>
 </ul>
 Why Join Us?
 
 
 <ul>
 <li>
 Opportunity to work in a fast-growing audio/video and content platform.
 </li>
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 Exposure to multi-language marketing and global user base strategies.
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 A collaborative work environment with a data-driven and innovative approach.
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 Competitive salary and growth opportunities in marketing and growth strategy.
 
 
 </li>
 </ul>
 
 About KUKU
 
 
 
 Founded in 2018, KUKU is India&rsquo;s leading storytelling platform, offering a vast digital library of audio stories, short courses, and microdramas. KUKU aims to be India&rsquo;s largest cultural exporter of stories, culture and history to the world with a firm belief in &ldquo;Create In India, Create For The World&rdquo;.
 
 
 We deliver immersive entertainment and education through our OTT platforms: Kuku FM, Guru, Kuku TV, and more. With a mission to provide high-quality, personalized stories across genres from entertainment across multiple formats and languages, KUKU continues to push boundaries and redefine India&rsquo;s entertainment industry.
 
 
 🌐 Website: www.kukufm.com
 
 
 📱 Android App: Google Play
 
 
 📱 iOS App: App Store
 
 
 🔗 LinkedIn: KUKU
 
 
 📢 Ready to make an impact? Apply now!
 
 
 Skills: data science,machine learning,dsa,python
</div>

Associate Machine Learning Engineer

Caterpillar Inc.

<div>
 
 Career Area
 
 
 
 Engineering
 
 
 
 Job Description
 
 
 
 
 Your Work Shapes the World at Caterpillar Inc.
 
 
 
 When you join Caterpillar, you're joining a global team who cares not just about the work we do &ndash; but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here &ndash; we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.
 
 
 
 Job Purpose
 
 
 
 To assist the global engineering team in the design and development of complex, major engineering product or process projects in a manner to ensure products provide superior performance, durability, quality and serviceability.
 
 
 
 JOB DUTIES:
 
 The Associate Engineer role is responsible for working closely with other engineers in delivering technical aspects to meet the division&rsquo;s product line&rsquo;s requirements.
 
 
 
 Key areas of responsibility encountered in this role may include any or all of the following:
 
 
 
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 Support in the development of electrical design of Diesel gensets in collaboration with senior engineers.
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 Develop concepts, and modelling of electrical subsystems of Gensets. Works closely with internal teams to ensure the detailing, releases and other development aspects are taken care
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 Understand technical requirements and creatively solves engineering problems
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 Incumbent will have opportunities to work closely with cross functional team to develop world class engineering solutions for our global products while gaining growth opportunities.
 
 
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 </ul>
 
 Required Qualification
 
 
 
 <ul>
 <li>
 Provide support in the design and development of electrical systems related to Genset control panel design, Component selection and placement, Wiring harness, Schematics development
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 Must be a team player with good communication and interpersonal skills
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 High learning agility.
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 Hands on experience with various tools and processes like: CREO, Team centre, Drawing release process, DFMEA, RCA (Nice to have)
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 Experience of Diesel / Gas genset or similar automobile/machine products design, development, testing and certifications (Nice to have)
 
 
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 </ul>
 
 Desired Qualifications
 
 
 
 <ul>
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 Bachelors or Masters degree in Electrical Engineering with 0-2 years of relevant experience.
 
 
 </li>
 </ul>
 
 Additional information:
 
 This job required 5days working from office.
 
 
 
 Posting Dates
 
 
 
 December 15, 2025 - December 29, 2025
 
 
 Caterpillar is an Equal Opportunity Employer. Qualified applicants of any age are encouraged to apply
 
 
 Not ready to apply? Join our Talent Community.
</div>

Associate Engineer

Pratt & Whitney

<div>
 
 Date Posted:
 
 
 
 2025-12-16
 
 
 
 Country:
 
 
 
 India
 
 
 
 Location:
 
 
 
 North Gate Business Park Sy.No 2/1, and Sy.No 2/2, KIAL Road, Venkatala Village, Chowdeshwari Layout, Yelahanka, Bangalore, Karnataka 560064
 
 
 
 Position Role Type:
 
 
 
 Unspecified
 
 
 
 Who we are:
 
 
 
 Pratt &amp; Whitney, an RTX business, is working to once again transform the future of flight designing, building and servicing engines unlike any the world has ever seen. And because transformation begins from within, we&rsquo;re seeking the people to drive it. So, calling all curious.
 
 
 Come ready to explore and you&rsquo;ll find a place where your talent takes flight &ndash; beyond the borders of title, a country or your comfort zone. Bring your passion and commitment and we&rsquo;ll welcome you into a tight-knit team that takes our mission personally. Channel your drive to make a difference into shaping an organization and an industry that&rsquo;s evolving fast to the future.
 
 
 At Pratt &amp; Whitney, the difference you make is on display every day. Just look up.
 
 
 Are you ready to go beyond?
 
 
 
 What are our expectations:
 
 
 
 The DPHM team is looking for an innovative experienced senior engine performance engineer and data scientist that can apply numerical methods to complex turbomachinery systems operating in service. The candidate will develop solutions that provide automated diagnostic and prognostic capabilities to identify shifts/deterioration in the engine&rsquo;s major mechanical systems, such as the following:
 
 
 <ul>
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 Overall Engine Performance
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 Oil System Health
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 Fuel System Health
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 Start System Health
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 Vibration
 
 
 </li>
 </ul>
 Additionally, the candidate will work actively with the Ground Systems engineering and Customer Service teams, in optimizing end to end data pipeline performance and introduction of new engine health management solutions.
 
 
 
 What You Will Do:
 
 
 
 <ul>
 <li>
 Develop and implement advanced AI and machine learning models for engine condition monitoring, fault detection, and predictive maintenance.
 </li>
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 Apply machine learning techniques such as classification, clustering, anomaly detection, and time series forecasting to analyze engine performance and operational data.
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 Collaborate with engineering and data teams to integrate AI/ML insights into digital engine diagnostics and prognostics platforms.
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 Create and optimize scalable data pipelines and workflows for processing large volumes of sensor and operational data.
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 Design and maintain interactive dashboards and visualization tools (Power BI, Matplotlib, HighCharts) to communicate AI-driven insights effectively.
 </li>
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 Perform exploratory data analysis to identify trends, patterns, and actionable insights using statistical and machine learning methods.
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 Work with relational databases (MS SQL, MySQL, PostgreSQL) and big data technologies (Databricks, AWS) to manage, clean, and preprocess datasets.
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 Document machine learning workflows, model evaluation metrics, and deployment processes for reproducibility and continuous improvement.
 
 
 </li>
 </ul>
 
 Qualifications You Must Have:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Aerospace Engineering, Mechanical Engineering, or a related field.
 </li>
 <li>
 Minimum 5-8 years of experience applying AI and machine learning in an engineering or industrial setting.
 </li>
 <li>
 Strong programming skills in Python and/or R, with experience using machine learning libraries and frameworks such as Scikit-learn, TensorFlow, Keras, or PyTorch.
 </li>
 <li>
 Proficient in SQL and experience working with relational databases (MS SQL, MySQL, PostgreSQL).
 </li>
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 Experience building and deploying machine learning models in cloud environments, preferably AWS (SageMaker, Lambda, S3).
 </li>
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 Knowledge of data engineering tools and platforms such as Databricks, Airflow, or similar ETL/ELT frameworks.
 </li>
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 Skilled in data visualization using tools like Power BI, Matplotlib, and HighCharts.
 </li>
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 Understanding of statistical analysis, hypothesis testing, and time series analysis.
 </li>
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 Strong communication skills with the ability to present complex AI/ML concepts to technical and non-technical stakeholders.
 
 
 </li>
 </ul>
 
 Beneficial Skills:
 
 
 
 <ul>
 <li>
 Familiarity with turbomachinery or aerospace data is a plus but not mandatory.
 </li>
 <li>
 Experience with predictive maintenance and condition-based monitoring systems.
 </li>
 <li>
 Understanding of digital twin concepts and their application in aerospace or industrial settings.
 
 
 </li>
 </ul>
 
 What We Offer
 
 
 
 <ul>
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 Long-term deferred compensation programs
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 Daycare for young children
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 Advancement programs to enhance education skills
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 Flexible work schedules
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 Leadership and training programs
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 Comprehensive benefits, savings, and pension plans
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 Financial support for parental leave
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 Reward programs for outstanding work
 
 
 </li>
 </ul>
 
 RTX adheres to the principles of equal employment. All qualified applications will be given careful consideration without regard to ethnicity, color, religion, gender, sexual orientation or identity, national origin, age, disability, protected veteran status or any other characteristic protected by law.
 
 
 
 
 Privacy Policy and Terms:
 
 
 
 Click on this link to read the Policy and Terms
</div>

Senior Engineer, Data Analytics

HARMAN India

<div>
 
 Introduction: A Career at HARMAN Automotive
 
 
 
 We&rsquo;re a global, multi-disciplinary team that&rsquo;s putting the innovative power of technology to work and transforming tomorrow. At HARMAN Automotive, we give you the keys to fast-track your career.
 
 
 <ul>
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 Engineer audio systems and integrated technology platforms that augment the driving experience
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 Combine ingenuity, in-depth research, and a spirit of collaboration with design and engineering excellence.
 </li>
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 Advance in-vehicle infotainment, safety, efficiency, and enjoyment
 
 
 </li>
 </ul>
 
 About The Role
 
 
 
 We are seeking a highly skilled and results-oriented Data Scientist to join our team, with a strong foundation in statistical modelling, machine learning, and data engineering collaboration. The ideal candidate will have a proven track record of delivering predictive and descriptive analytics use cases in the finance domain that have led to measurable improvements in profitability, revenue growth, and operational efficiency.
 
 
 
 What You Will Do
 
 
 
 <ul>
 <li>
 Collaborate closely with finance stakeholders to translate business problems into data science solutions with quantifiable impact.
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 Collaborate with stakeholders to understand business challenges and translate them into data-driven solutions.
 </li>
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 Develop and deploy predictive, descriptive, and prescriptive models to support finance-led initiatives (e.g. pricing, risk scoring, demand forecasting, customer segmentation).
 </li>
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 Write clean, efficient, and reproducible code in Python, R, or Scala for analytics and modelling tasks.
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 Perform exploratory data analysis, data wrangling, feature engineering, and validation of data quality and integrity.
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 Generate actionable insights and dashboards that drive decision-making in areas such as revenue growth, margin improvement, and cost optimization.
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 Analyze large datasets to identify trends, patterns, and opportunities using statistical and machine learning techniques!
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 Communicate technical results to non-technical audiences through compelling visualizations and storytelling.
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 Partner with data engineers to define and design robust data pipelines and reusable data assets that power analytics and machine learning.
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 Continuously evaluate and implement new modelling techniques, tools, and technologies to improve effectiveness and efficiency.
 
 
 </li>
 </ul>
 
 What You Need To Be Successful
 
 
 
 <ul>
 <li>
 3+ years of experience in data science roles, preferably with a focus on finance use cases.
 </li>
 <li>
 Strong proficiency in Python (preferred), R, SQL, and experience with libraries such as Pandas, Scikit-learn, TensorFlow, or PyTorch.
 </li>
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 Solid experience with statistical modelling, machine learning algorithms, and time-series forecasting.
 </li>
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 Familiarity with cloud platforms (e.g., AWS, GCP, or Azure) and big data tools (e.g., Spark, Databricks).
 </li>
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 Experience working alongside data engineers and understanding of data pipeline architecture and data governance.
 </li>
 <li>
 Ability to connect the dots between data insights and financial impact (e.g., ROI, profitability, growth metrics).
 </li>
 <li>
 Excellent communication skills with the ability to present complex data insights to non-technical stakeholders.
 
 
 </li>
 </ul>
 
 Bonus Points if You Have
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or master&rsquo;s degree in data science, Computer Science, Statistics, Mathematics, or a related field.
 </li>
 <li>
 Experience with Finance
 </li>
 <li>
 Experience with SAP Finance data, good understanding of SAP Finance data.
 
 
 </li>
 </ul>
 
 What Makes You Eligible
 
 
 
 <ul>
 <li>
 This position requires up to 20% of travel.
 </li>
 <li>
 Be willing to work in Bangalore, India.
 
 
 </li>
 </ul>
 
 What We Offer
 
 
 
 <ul>
 <li>
 Flexible work environment, allowing for full-time remote work globally for positions that can be performed outside a HARMAN or customer location.
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 <li>
 Access to employee discounts on world-class products (JBL, HARMAN Kardon, AKG, and more)
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 Extensive training opportunities through our own HARMAN University
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 Competitive wellness benefits
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 Tuition reimbursement
 </li>
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 &ldquo;Be Brilliant&rdquo; employee recognition and rewards program.
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 <li>
 An inclusive and diverse work environment that fosters and encourages professional and personal development.
 </li>
 </ul>
</div>

Specialist - Finance Data Scientist

Amazon

<div>
 
 Description
 
 
 
 Do you want to join an innovative team of scientists who use machine learning and statistical techniques to create state-of-the-art solutions for providing better value to Amazon&rsquo;s customers? Do you want to build and deploy advanced algorithmic systems that help optimize millions of transactions every day? Are you excited by the prospect of analyzing and modeling terabytes of data to solve real world problems? Do you like to own end-to-end business problems/metrics and directly impact the profitability of the company? Do you like to innovate and simplify? If yes, then you may be a great fit to join the Machine Learning and team for India Consumer Businesses.
 
 
 If you have an entrepreneurial spirit, know how to deliver, love to work with data, are deeply technical, highly innovative and long for the opportunity to build solutions to challenging problems that directly impact the company's bottom-line, we want to talk to you.
 
 
 Major responsibilities
 
 
 <ul>
 <li>
 Use machine learning and analytical techniques to create scalable solutions for business problems
 </li>
 <li>
 Analyze and extract relevant information from large amounts of Amazon&rsquo;s historical business data to help automate and optimize key processes
 </li>
 <li>
 Design, development, evaluate and deploy innovative and highly scalable models for predictive learning
 </li>
 <li>
 Research and implement novel machine learning and statistical approaches
 </li>
 <li>
 Work closely with software engineering teams to drive real-time model implementations and new feature creations
 </li>
 <li>
 Work closely with business owners and operations staff to optimize various business operations
 </li>
 <li>
 Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation
 </li>
 <li>
 Mentor other scientists and engineers in the use of ML techniques
 
 
 </li>
 </ul>
 
 About The Team
 
 
 
 The India Machine Learning team works closely with the business and engineering teams in building ML solutions that create an impact for Amazon's IN businesses. This is a great opportunity to leverage your machine learning and data mining skills to create a direct impact on consumers and end users.
 
 
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 Master's degree or above in computer science, computer engineering, or related field
 </li>
 <li>
 Experience programming in Java, C++, Python or related language
 </li>
 <li>
 3+ years of building models for business application experience
 </li>
 <li>
 PhD, or a Master's degree and experience building machine learning models or developing algorithms for business application
 </li>
 <li>
 Experience in patents or publications at top-tier peer-reviewed conferences or journals
 </li>
 <li>
 Experience programming in Java, C++, Python or related language
 </li>
 <li>
 Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience implementing algorithms using both toolkits and self-developed code
 </li>
 <li>
 Have publications at top-tier peer-reviewed conferences or journals
 
 
 </li>
 </ul>
 Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.
 
 
 
 
 Company
 
 - ADCI - Karnataka
 
 
 Job ID: A3089323
</div>

Applied Scientist, India Machine Learning

Morphle Labs Inc.

<div>
 
 Job Description Toolroom Engineer (Freshers)
 
 
 
 Morphle Labs is a YC-funded deep-tech startup building advanced medical devices for cancer diagnostics. Founded by IIT alumni, we design and manufacture high-precision robotic imaging systems used by hospitals, labs, and research centers across the world. With a strong engineering culture and a rapidly scaling global footprint, Morphle offers a fast-paced environment where young engineers can build deep technical skills and contribute to meaningful healthcare innovation.
 
 
 We are hiring ITI, Diploma, and Mechanical Engineering freshers to join our Toolroom team. This role is ideal for candidates who want to build a strong foundation in machining, manufacturing, and precision engineering. As a Toolroom Engineer, you will work hands-on with a wide variety of machines including surface grinders, DRO milling machines, laser-cut machines, wire-cut EDM machines, CNC/VMC machines, and lathe machines. You will be trained by experienced engineers and gain exposure to tooling preparation, machining operations, quality checks, and production workflows.
 
 
 
 Key Responsibilities
 
 
 
 Operate and assist in setting up toolroom machines (surface grinding, milling, CNC/VMC, EDM, lathe, etc.) Perform machining tasks as per drawings and instructions
 
 
 Conduct basic measurements and quality checks using standard instruments
 
 
 Maintain tools, fixtures, consumables, and machine logs
 
 
 Support production teams with machining requirements and fixture preparation
 
 
 Ensure shop-floor cleanliness, safety compliance, and process discipline
 
 
 Learn and follow Morphle machining and documentation standards
 
 
 
 Requirements
 
 
 
 ITI Fitter / Machinist / Turner, Diploma in Mechanical Engineering, or BE/BTech Mechanical
 
 
 No prior experience required; strong interest in machining and toolroom operations
 
 
 Basic understanding of machines and mechanical tools
 
 
 Ability to read simple engineering drawings (training will be provided)
 
 
 Strong learning attitude, discipline, and attention to detail
 
 
 Willingness to work in a hands-on shop-floor environment
 
 
 
 What You'll Gain
 
 
 
 Hands-on training across multiple machines and machining processes
 
 
 Exposure to precision engineering and medical-device manufacturing standards
 
 
 Guidance from experienced machinists and engineers
 
 
 Strong foundation for future roles in machining, production, tooling, or manufacturing engineering
 
 
 Significant vertical and horizontal career growth opportunities within Morphle
</div>

Hiring ITI/Diploma/BTech Mechanical Freshers

Senso Vision

<div>
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Evaluate customer requirements and develop solutions for a turnkey machine vision system for manufacturing applications
 </li>
 <li>
 Evaluate and select lighting and optics to create the imaging front end
 </li>
 <li>
 Work on data collection of the samples provided by the customers
 </li>
 <li>
 Prepare the feasibility report
 </li>
 <li>
 Integrate a turnkey machine vision system with robot and automation equipment and make adjustments, troubleshoot, and debug systems.
 </li>
 <li>
 Travel and work in a factory environment to install and support a machine vision system to make sure all machines are qualified and ready for production according to schedule.
 </li>
 <li>
 Provide supervision to other team members at machine builder sites and contract manufacturer (CM) production sites.
 </li>
 <li>
 Help to prepare Standard Operating Procedures for machine vision setup, train other team members, and provide support during overall machine setup and maintenance.
 </li>
 <li>
 Troubleshoot and analyze the issues that happened on site, and provide failure analysis (FA) reports.
 </li>
 <li>
 Communicate with both internal and external customers to establish a good working relationship.
 </li>
 <li>
 Provide daily status and progress reports and attend update meetings.
 
 
 </li>
 </ul>
 About Company: Senso Vision is a technology consulting and development startup. We are a team of highly trained and experienced professionals in the domain of computer vision, drone automation, IoT, and machine learning.
</div>

Application Engineer in Bangalore

Explore 264+ Associate machine learning engineer in Mangaluru this January. Find roles across top companies and apply now to boost your career.