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software development engineer ii

machine learning engineer

Kuku FM

<div>
 
 About The Role
 
 
 
 As a Machine Learning Engineer II in Recommendation, 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>
 Recommendation Systems: Design and develop large-scale recommendation systems serving millions of users, with a strong focus on personalization, scalability, and efficiency.
 </li>
 <li>
 ML Execution: Drive the ML execution, specifically around feed ranking and recall oriented candidate generation systems.
 </li>
 <li>
 Technical Ownership: Provide guidance in ML model formulation, experimentation, and deployment. Take end-to-end ownership of ML systems, including key user satisfaction metrics.
 </li>
 <li>
 Architecture &amp; Strategy: Contribute to the architectural strategy and design of complex ML systems that meet the needs of users, and content stakeholders.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Model Training &amp; Serving: Hands-on experience training and serving large-scale ML models using frameworks such as PyTorch or TensorFlow.
 </li>
 <li>
 Production Experience: Proven track record of productionising machine learning models, including designing and managing end-to-end ML systems and data pipelines.
 </li>
 <li>
 Recommendation Expertise: Direct experience in building and applying large-scale (million+ users) machine learning solutions for feed ranking and personalized recommendations.
 </li>
 <li>
 Research Awareness: Stay up-to-date with the latest advancements in recommender systems, data engineering, and applied machine learning.
 </li>
 <li>
 Education &amp; Experience: Bachelor&rsquo;s or Master&rsquo;s in Computer Science, Machine Learning, Statistics, or a related engineering field, with 2-4 years of relevant experience.
 
 
 </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: production experience,research awareness,model training &amp; serving,recommendation expertise
</div>

Machine Learning Engineer II

Juniper Networks

<div>
 
 
 
 Job Family Definition:
 
 
 
 
 Designs, develops, troubleshoots and debugs software programs for software enhancements and new products. Develops software including operating systems, compilers, routers, networks, utilities, databases and Internet-related tools. Determines hardware compatibility and/or influences hardware design.
 
 
 
 
 
 
 
 Management Level Definition:
 
 
 
 
 Contributes to assignments of limited scope by applying technical concepts and theoretical knowledge acquired through specialized training, education, or previous experience. Acts as team member by providing information, analysis and recommendations in support of team efforts. Exercises independent judgment within defined parameters.
 
 
 
 
 
 
 What you&rsquo;ll do:
 
 
 
 
 Responsibilities:
 
 
 
 
 
 
 We are seeking a Software Engineer to contribute to data science research, software engineering, and application development for our cutting-edge enterprise Wi-Fi and autonomous networking platform. This role plays a key part in advancing visibility into user experience across large-scale wireless networks.
 
 
 The engineer will collaborate closely with cross-functional teams&mdash;including other engineers and product managers&mdash;to develop the next generation of AI-driven Wi-Fi systems. Leveraging big data, machine learning, and predictive modeling, you will help design and implement intelligent algorithms that drive autonomous network operations.
 
 
 
 
 
 This role requires a strong background in handling massive volumes of data generated by communication protocols. You will apply your knowledge of wireless communication systems and software engineering principles to build scalable, real-time analytics pipelines. These systems will detect anomalies, predict potential issues, and classify events across the network.
 
 
 
 
 
 
 Design and implement machine learning solutions that require processing terabytes of streaming data to detect anomalies in Wi-Fi networks of our customers, predict problems and future trends, cand lassify them in real-time
 
 
 
 
 Utilize analytical and programming skills and open-source systems, such as Hadoop, Hive, Spark, Elasticsearch, Redis, etc; develop data processing pipeline with required efficacy and latency
 
 
 
 
 Develop good quality APIs to enhance Mist virtual assistant chat bot to answer more complex questions about our customers&rsquo; network
 
 
 
 
 Troubleshoot the production environment and customer-reported issues
 
 
 
 
 
 
 
 
 
 What you need to bring:
 
 
 
 
 
 
 Preferred Qualifications:
 
 
 
 
 
 
 
 
 Having relevant experience of 1 to 3 years.
 
 
 
 
 Experience with big data technologies, real-time analytics, and machine learning pipelines
 
 
 
 
 Proficiency in programming languages such as Python, Go, or Java
 
 
 
 
 Strong background in wireless communication protocols (e.g., Wi-Fi, 802.11)
 
 
 
 
 Solid understanding of networking concepts (e.g., routing, switching, ARP, DHCP)
 
 
 
 
 Familiarity with cloud-native architectures and distributed systems.
 
 
 
 
 
 
 
 
 
 
 Additional Skills:
 
 
 
 Cloud Architectures, Cross Domain Knowledge, Design Thinking, Development Fundamentals, DevOps, Distributed Computing, Microservices Fluency, Full Stack Development, Security-First Mindset, Solutions Design, Testing &amp; Automation, User Experience (UX)
 
 
 
</div>

Software Engineer

Indium

<div>
 
 
 We're Hiring: Data Scientist
 
 
 
 
 
 
 
 Exp
 
 -3-6years
 
 
 
 Location:
 
 Bangalore / Hyderabad
 
 
 
 Work Type:
 
 Full-Time | Hybrid
 
 
 
 Skills:
 
 NLP or Computer Vision - Text &amp; Image Automation, AI/ML Algorithms, Statistics, Qualitative analysis, project management
 
 
 
 Apply: Click Here
 
 
 
 
 
 
 
 Job Summary:
 
 
 
 
 
 
 We are seeking a highly motivated and detail-oriented
 
 Machine Learning Engineer
 
 with expertise in
 
 ML algorithms, statistics, NLP or computer vision
 
 , and a strong inclination toward
 
 project ownership and delivery
 
 . The ideal candidate is not only technically proficient but also highly organized, hardworking, and capable of driving projects independently or as part of a collaborative team.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 Design, develop, and deploy
 
 machine learning models
 
 for real-world applications.
 </li>
 <li>
 Apply
 
 statistical methods
 
 and
 
 quantitative analysis
 
 to extract insights and optimize models.
 </li>
 <li>
 Build solutions in
 
 NLP or computer vision
 
 , particularly in
 
 text and image automation
 
 workflows.
 </li>
 <li>
 Work on end-to-end
 
 AI/ML project lifecycle
 
 , from problem definition to deployment and monitoring.
 </li>
 <li>
 Collaborate cross-functionally with data scientists, engineers, and stakeholders to meet project goals.
 </li>
 <li>
 Manage project timelines, track progress, and ensure timely delivery of high-quality outcomes.
 </li>
 <li>
 Demonstrate a strong work ethic, ownership mindset, and accountability throughout project execution.
 </li>
 </ul>
 
 
 
 
 
 Required Skills:
 
 
 
 
 
 <ul>
 <li>
 Solid understanding of
 
 machine learning algorithms
 
 and statistical techniques.
 </li>
 <li>
 Experience with
 
 NLP (Natural Language Processing)
 
 or
 
 Computer Vision
 
 .
 </li>
 <li>
 Proficiency in Python and relevant ML libraries (e.g., scikit-learn, TensorFlow, PyTorch, OpenCV, spaCy).
 </li>
 <li>
 Familiarity with
 
 data preprocessing
 
 , model evaluation, and performance tuning.
 </li>
 <li>
 Strong analytical and problem-solving skills with a data-driven mindset.
 </li>
 <li>
 Excellent project management skills &ndash; ability to multitask, prioritize, and deliver on deadlines.
 </li>
 <li>
 Self-driven and hardworking, with a proactive approach to learning and development.
 </li>
 </ul>
 
 
 
 
 
 🌟 What&rsquo;s in It for You?
 
 
 
 
 
 
 
 A Happy Workplace
 
 We go beyond the ordinary to create a fun, inclusive, and collaborative work environment.
 
 
 
 Health Comes First
 
 Medical insurance for you and your family, 1:1 mental wellness sessions, and wellness initiatives.
 
 
 
 Skill Up to Scale Up
 
 Access to
 
 Indium Academy
 
 , our internal learning platform, and continuous upskilling support.
 
 
 
 Work-Life Balance
 
 Flexible hybrid work model + plenty of destressing and employee engagement activities.
 
 
 
 
 
 
 About Indium
 
 
 -
 
 Click Here
 
 
 
 
 
 Indium Tech is a next-gen digital engineering company driving innovation across Application Engineering, Generative AI, Data &amp; AI, Cloud &amp; Product Engineering, Intelligent Automation, Low-Code Development, Gaming, and Quality Engineering.
 
 
 
 
 
 With over 25 years in the industry and a vibrant team of 5,000+ professionals across India, Indium is trusted by global enterprises to deliver cutting-edge digital solutions. Our expertise has earned us recognition from Forbes as one of the Top AI Products and Clutch a Top Data Analytics Company, and ISG as Strong Contender in Data Science Services.
 
 
 
 
 
 We're proud to be Great Place to Work certified and ranked on the Inc. 5000 list of America's fastest-growing companies.
 
 
 
 
 
 #MachineLearning#ArtificialIntelligence Let&rsquo;s build something impactful together.
 
 
 #Hiring #MachineLearning #AI #DataScience #NLP #ComputerVision #MLJobs #TechJobs #ArtificialIntelligence #Python #DeepLearning #Statistics #Automation #JoinOurTeam #CareerOpportunity#NLP#MLAlgorithms
 
</div>

Data Scientist

<div>
 Position Description
 
 
 At CGI, we&rsquo;re a team of builders. We call our employees members because all who join CGI are building their own company - one that has grown to 72,000 professionals located in 40 countries. Founded in 1976, CGI is a leading IT and business process services firm committed to helping clients succeed. We have the global resources, expertise, stability and dedicated professionals needed to achieve. At CGI, we&rsquo;re a team of builders. We call our employees members because all who join CGI are building their own company - one that has grown to 72,000 professionals located in 40 countries. Founded in 1976, CGI is a leading IT and business process services firm committed to helping clients succeed. We have the global resources, expertise, stability and dedicated professionals needed to achieve results for our clients - and for our members. Come grow with us. Learn more at www.cgi.com.
 
 
 This is a great opportunity to join a winning team. CGI offers a competitive compensation package with opportunities for growth and professional development. Benefits for full-time, permanent members start on the first day of employment and include a paid time-off program and profit participation and stock purchase plans. We wish to thank all applicants for their interest and effort in applying for this position, however, only candidates selected for interviews will be contacted. No unsolicited agency referrals please.
 
 
 Your future duties and responsibilities
 
 
 Job Title: Data Scientist
 
 
 Position: Associate Consultant
 
 
 Experience : 4 to 7 Years
 
 
 Main location: Bangalore/Chennai/Hyderabad
 
 
 Position ID: J0825-0344
 
 
 Employment Type: Full Time
 
 
 We are seeking a talented and experienced Data Scientist / MLOps Engineer to join our team. In this role, you will be responsible for developing and operationalizing machine learning models, with a focus on NLP sentiment analysis, scoring, app recommendations, and sales forecasting. You will work closely with cross-functional teams to implement these solutions using Google Cloud services, Kubernetes, and containerization technologies.
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Develop and implement machine learning models for NLP sentiment analysis and scoring
 </li>
 <li>
 Create and optimize app recommendation systems using advanced ML techniques
 </li>
 <li>
 Build and maintain sales forecasting models to drive business insights
 </li>
 <li>
 Design and implement MLOps pipelines for model training, deployment, and monitoring
 </li>
 <li>
 Containerize ML applications and deploy them on Kubernetes clusters
 </li>
 <li>
 Collaborate with data engineers to design and implement data ingestion and wrangling pipelines using Google Cloud services
 </li>
 <li>
 Utilize BigQuery for large-scale data analysis and feature engineering
 </li>
 <li>
 Continuously improve model performance and operational efficiency
 
 
 </li>
 </ul>
 
 Required Qualifications To Be Successful In This Role
 
 
 
 <ul>
 <li>
 Master's degree in Computer Science, Data Science, or a related field
 </li>
 <li>
 3+ years of experience in machine learning and data science roles
 </li>
 <li>
 Strong proficiency in Python and data science libraries (e.g., NumPy, Pandas, Scikit-learn)
 </li>
 <li>
 Expertise in NLP techniques and frameworks (e.g., NLTK, spaCy, Transformers)
 </li>
 <li>
 Experience with recommendation systems and time series forecasting
 </li>
 <li>
 Solid understanding of MLOps principles and practices
 </li>
 <li>
 Proficiency in Google Cloud Platform services, especially: AI/ML offerings (e.g., Vertex AI, AutoML) Data ingestion services (e.g., Cloud Dataflow, Cloud Pub/Sub) Data processing services (e.g., Dataprep, Cloud Dataproc) BigQuery for large-scale data analysis
 </li>
 <li>
 Experience with containerization (Docker) and orchestration (Kubernetes)
 </li>
 <li>
 Familiarity with CI/CD pipelines and version control systems (e.g., Git)
 
 
 </li>
 </ul>
 Preferred Qualifications:
 
 
 <ul>
 <li>
 Experience with TensorFlow and/or PyTorch
 </li>
 <li>
 Knowledge of other cloud platforms (e.g., Azure, AWS) is a plus
 </li>
 <li>
 Familiarity with big data technologies (e.g., Spark, Hadoop)
 </li>
 <li>
 Experience with ML model serving frameworks (e.g., TensorFlow Serving, KFServing)
 </li>
 <li>
 Understanding of data privacy and security best practices
 </li>
 <li>
 Experience with data visualization tools (e.g., Data Studio, Looker)
 
 
 </li>
 </ul>
 Key Skills:
 
 
 <ul>
 <li>
 Machine Learning
 </li>
 <li>
 Natural Language Processing
 </li>
 <li>
 Recommendation Systems
 </li>
 <li>
 Time Series Forecasting
 </li>
 <li>
 Google Cloud Platform BigQuery Cloud Dataflow Cloud Pub/Sub Dataprep Cloud Dataproc Vertex AI
 </li>
 <li>
 Kubernetes
 </li>
 <li>
 Docker
 </li>
 <li>
 Python
 </li>
 <li>
 MLOps
 </li>
 <li>
 Data Analysis and Visualization
 </li>
 <li>
 Data Ingestion and Wrangling
 
 
 </li>
 </ul>
 
 Together, as owners, let&rsquo;s turn meaningful insights into action.
 
 
 
 Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you&rsquo;ll reach your full potential because&hellip;
 
 
 You are invited to be an owner from day 1 as we work together to bring our Dream to life. That&rsquo;s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company&rsquo;s strategy and direction.
 
 
 Your work creates value. You&rsquo;ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.
 
 
 You&rsquo;ll shape your career by joining a company built to grow and last. You&rsquo;ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.
 
 
 Come join our team&mdash;one of the largest IT and business consulting services firms in the world.
 
 
</div>

WorkOnGrid

<div>
 We are looking for a passionate Data Scientist with 3-5 years of experience in the energy sector to join our team. In this role, you will leverage advanced data science, machine learning, and deep learning techniques to solve real-world challenges in energy demand forecasting, smart grid optimization, renewable integration, and asset performance. You will work closely with business stakeholders, domain experts, and data engineers to turn complex datasets into actionable insights that drive efficiency, sustainability, and innovation in the energy industry. This role offers the opportunity to contribute directly to the transformation of the energy sector through AI-driven solutions.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Collaborate with business stakeholders and domain experts to understand challenges and opportunities within the energy sector.
 </li>
 <li>
 Design and develop machine learning and deep learning models for energy applications such as demand forecasting, grid management, renewable integration, and equipment optimization.
 </li>
 <li>
 Acquire and prepare data from diverse sources (IoT sensors, smart meters, SCADA systems, weather data, and market prices), ensuring quality and readiness for analysis.
 </li>
 <li>
 Conduct EDA to identify patterns, correlations, and anomalies that drive actionable insights.
 </li>
 <li>
 Implement data science solutions using regression, classification, clustering, and neural networks to improve decision-making and operational efficiency.
 </li>
 <li>
 Evaluate model performance with appropriate metrics and continuously refine models for accuracy and reliability.
 </li>
 <li>
 Develop clear dashboards, reports, and data visualizations to communicate findings to technical and non-technical stakeholders.
 </li>
 <li>
 Stay updated with emerging trends in AI, IoT, renewable energy technologies, and energy analytics.
 </li>
 <li>
 Collaborate with Data Engineers to enhance data infrastructure, collection strategies, and model deployment processes.
 </li>
 <li>
 Provide technical guidance and mentor junior data scientists or analysts when required.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Master's in Data Science, Computer Science, Engineering, or a related quantitative field.
 </li>
 <li>
 3-5 years of experience as a Data Scientist, with a focus on the energy/utilities/renewables domain.
 </li>
 <li>
 Strong programming skills in Python, with hands-on experience using pandas, scikit-learn, TensorFlow, PyTorch, or Keras.
 </li>
 <li>
 Proficiency in SQL for data querying and transformation.
 </li>
 <li>
 Strong foundation in machine learning algorithms, statistical analysis, and deep learning frameworks.
 </li>
 <li>
 Experience with data visualization tools (Tableau, Power BI, etc. )
 </li>
 <li>
 Familiarity with big data technologies (Hadoop, Apache Spark, Databricks) and cloud platforms (AWS, Azure, GCP).
 </li>
 <li>
 Domain expertise in areas like renewable energy, power generation, smart grids, oil &amp; gas exploration, or energy trading.
 </li>
 <li>
 Strong analytical, problem-solving, and critical-thinking skills with experience working on large, complex datasets.
 </li>
 <li>
 Excellent written and verbal communication skills.
 
 
 </li>
 </ul>
 This job was posted by Athmiya Hm from WorkOnGrid.
</div>

Data Scientist (Energy Sector)

Yulu

<div>
 
 
 About Yulu
 
 
 
 Yulu is India&rsquo;s leading shared micro-mobility platform, revolutionizing urban transportation through smart, sustainable, and electric-first mobility solutions. With a rapidly growing fleet of tech-enabled electric two-wheelers and a robust battery-swapping infrastructure, Yulu makes last-mile commutes not only efficient but also planet-friendly.
 
 
 Our IoT-driven platform and smart electric vehicles are helping cities reduce traffic congestion and carbon emissions while empowering millions with affordable and reliable transportation.
 
 
 Backed by industry giants like Bajaj Auto and Magna International, Yulu operates at the intersection of mobility, technology, and sustainability. Our mission is to reduce congestion, cut emissions, and transform how India moves &mdash; one ride at a time.
 
 
 With millions of rides completed, thousands of EVs on the road, and a rapidly expanding footprint, we&rsquo;re not just building EVs &mdash; we&rsquo;re building the future of urban mobility in India.
 
 
 
 
 
 🔗 Learn more: www.yulu.bike
 
 
 
 
 
 
 Role Summary
 
 
 
 Yulu is looking for a
 
 Data Scientist
 
 to work on developing and refining statistical models and Machine Learning algorithms to address real-world challenges. You will collaborate with cross-functional teams to identify analytical needs, perform exploratory data analysis, and optimize model performance. The role also involves building and maintaining data pipelines, ensuring data quality, and staying up-to-date with emerging AI/ML technologies. If you are passionate about using data to solve impactful problems and transform urban mobility, join us in our mission to reduce traffic congestion and air pollution!
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Collect, clean, and preprocess data from diverse sources to ensure quality and accuracy.
 </li>
 <li>
 Develop and refine statistical models and Machine Learning (ML) algorithms to solve real-world problems.
 </li>
 <li>
 Collaborate with cross-functional teams (e.g., data engineering, product, and business) to identify and understand analytical needs.
 </li>
 <li>
 Perform exploratory data analysis (EDA) to uncover patterns, trends, and relationships in datasets.
 </li>
 <li>
 Evaluate model performance using appropriate metrics, and iterate to optimize accuracy and efficiency.
 </li>
 <li>
 Document analyses, methodologies, and best practices to maintain clear records for future reference.
 </li>
 <li>
 Stay up-to-date with emerging AI/ML technologies and actively explore new approaches&mdash;especially in the areas of deep learning, Generative AI, and Large Language Models (LLMs).
 </li>
 <li>
 Present findings and insights to both technical and non-technical stakeholders in a clear, concise manner.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Strong grounding in statistics, math, and machine learning
 </li>
 <li>
 Hands-on Python: pandas, NumPy, scikit-learn
 </li>
 <li>
 Comfortable working with data in
 
 SQL and/or pandas
 
 (joins, windows, groupbys)
 </li>
 <li>
 Clear written and verbal communication
 </li>
 <li>
 Experience with GenAI/LLMs (prompts, embeddings, simple RAG)
 </li>
 <li>
 Visualization: Streamlit, Matplotlib/Seaborn (or Plotly)
 </li>
 <li>
 Operations Research basics: vehicle routing, task assignment (e.g.,
 </li>
 <li>
 Hungarian), Job Scheduling
 </li>
 <li>
 Good software habits: Git, environments, basic tests; any cloud/warehouse exposure
 </li>
 </ul>
 
 
 
 
 
 We assure you
 
 
 <ul>
 <li>
 Be a part of an innovative company that values professional growth, trustworthy colleagues, a fun environment in the office, and well-being for the employees
 </li>
 <li>
 A culture that fosters growth, integrity, and innovation
 </li>
 </ul>
 
 
</div>

PwC Acceleration Center India

<div>
 
 PwC AC is hiring for Data scientist
 
 
 Apply and get a chance to work with one of the Big4 companies #PwC AC.
 
 
 
 
 
 
 Job Tit
 
 le
 
 :
 
 Data scientist
 
 
 
 Years of Experienc
 
 e: 3-7 years
 
 
 
 Shift Timin
 
 gs: 11AM-8PM
 
 
 
 Qualificati
 
 on: Graduate and above(Full time)
 
 
 
 
 
 
 About PwC CTIO &ndash; AI Engineering
 
 
 
 PwC&rsquo;s
 
 Commercial Technology and Innovation Office (CTIO)
 
 is at the forefront of emerging technology, focused on building transformative AI-powered products and driving enterprise innovation. The
 
 AI Engineering
 
 team within CTIO is dedicated to researching, developing, and operationalizing cutting-edge technologies such as Generative AI, Large Language Models (LLMs), AI Agents, and more. Our mission is to continuously explore what's next&mdash;enabling business transformation through scalable AI/ML solutions while remaining grounded in research, experimentation, and engineering excellence.
 
 
 
 
 
 
 Role Overview
 
 
 
 We are seeking a
 
 Senior Associate &ndash; Data Science/ML/DL/GenAI
 
 to join our high-impact, entrepreneurial team. This individual will play a key role in designing and delivering scalable AI applications, conducting applied research in GenAI and deep learning, and contributing to the team&rsquo;s innovation agenda. This is a hands-on, technical role ideal for professionals passionate about AI-driven transformation.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design, develop, and deploy machine learning, deep learning, and Generative AI solutions tailored to business use cases.
 </li>
 <li>
 Build scalable pipelines using Python (and frameworks such as Flask/FastAPI) to operationalize data science models in production environments.
 </li>
 <li>
 Prototype and implement solutions using state-of-the-art LLM frameworks such as LangChain, LlamaIndex, LangGraph, or similar. Also developing applications in streamlit/chainlit for demo purposes.
 </li>
 <li>
 Design advanced prompts and develop agentic LLM applications that autonomously interact with tools and APIs.
 </li>
 <li>
 Fine-tune and pre-train LLMs (HuggingFace and similar libraries) to align with business objectives.
 </li>
 <li>
 Collaborate in a cross-functional setup with ML engineers, architects, and product teams to co-develop AI solutions.
 </li>
 <li>
 Conduct R&amp;D in NLP, CV, and multi-modal tasks, and evaluate model performance with production-grade metrics.
 </li>
 <li>
 Stay current with AI research and industry trends; continuously upskill to integrate the latest tools and methods into the team&rsquo;s work.
 </li>
 </ul>
 
 
 
 
 
 Required Skills &amp; Experience
 
 
 <ul>
 <li>
 
 3 to 7 years
 
 of experience in Data Science/ML/AI roles.
 </li>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Engineering, or equivalent technical discipline (BE/BTech/MCA).
 </li>
 <li>
 Proficiency in Python and related data science libraries: Pandas, NumPy, SciPy, Scikit-learn, TensorFlow, PyTorch, Keras, etc.
 </li>
 <li>
 Hands-on experience with
 
 Generative AI
 
 , including prompt engineering, LLM fine-tuning, and deployment.
 </li>
 <li>
 Experience with Agentic LLMs and task orchestration using tools like LangGraph or AutoGPT-like flows.
 </li>
 <li>
 Strong knowledge of NLP techniques, transformer architectures, and text analysis.
 </li>
 <li>
 Proven experience working with cloud platforms (preferably Azure; AWS/GCP also considered).
 </li>
 <li>
 Understanding of production-level AI systems including CI/CD, model monitoring, and cloud-native architecture. (Need not develop from scratch)
 </li>
 <li>
 Familiarity with ML algorithms: XGBoost, GBM, k-NN, SVM, Decision Forests, Naive Bayes, Neural Networks, etc.
 </li>
 <li>
 Exposure to deploying AI models via APIs and integration into larger data ecosystems.
 </li>
 <li>
 Strong understanding of model operationalization and lifecycle management.
 </li>
 </ul>
 
 
 
 
 
 Good to Have
 
 
 <ul>
 <li>
 Experience with Docker, Kubernetes, and containerized deployments for ML workloads.
 </li>
 <li>
 Use of MLOps tooling and pipelines (e.g., MLflow, Azure ML, SageMaker, etc.).
 </li>
 <li>
 Experience in full-stack AI applications, including visualization (e.g., PowerBI, D3.js).
 </li>
 <li>
 Demonstrated track record of delivering AI-driven solutions as part of large-scale systems.
 </li>
 </ul>
 
 
 
 
 
 Soft Skills &amp; Team Expectations
 
 
 <ul>
 <li>
 Strong written and verbal communication; able to explain complex models to business stakeholders.
 </li>
 <li>
 Ability to independently document work, manage requirements, and self-drive technical discovery.
 </li>
 <li>
 Desire to innovate, improve, and automate existing processes and solutions.
 </li>
 <li>
 Active contributor to team knowledge sharing, technical forums, and innovation drives.
 </li>
 <li>
 Strong interpersonal skills to build relationships across cross-functional teams.
 </li>
 <li>
 A mindset of continuous learning and technical curiosity.
 </li>
 </ul>
 
 
 
 
 
 Preferred Certifications
 
 (at least two are preferred)
 
 
 
 <ul>
 <li>
 Certifications in Machine Learning, Deep Learning, or Natural Language Processing.
 </li>
 <li>
 Python programming certifications (e.g., PCEP/PCAP).
 </li>
 <li>
 Cloud certifications (Azure/AWS/GCP) such as Azure AI Engineer, AWS ML Specialty, etc.
 </li>
 </ul>
 
 
 
 
 
 Why Join PwC CTIO?
 
 
 <ul>
 <li>
 Be part of a mission-driven AI innovation team tackling industry-wide transformation challenges.
 </li>
 <li>
 Gain exposure to bleeding-edge GenAI research, rapid prototyping, and product development.
 </li>
 <li>
 Contribute to a diverse portfolio of AI solutions spanning pharma, finance, and core business domains.
 </li>
 <li>
 Operate in a startup-like environment within the safety and structure of a global enterprise.
 </li>
 <li>
 Accelerate your career as a deep tech leader in an AI-first future.
 </li>
 </ul>
</div>

Explore 173+ Machine learning engineer in Mangaluru this September. Find roles across top companies and apply now to boost your career.

173 machine learning engineer jobs IN Mangaluru

Machine Learning Engineer II

Software Engineer

Data Scientist

Data Scientist

Data Scientist (Energy Sector)

Data Scientist

Data Scientist