73 Machine Learning Jobs in Navi Mumbai

Location - LTIM Pan IndiaExperience - 5+to 12+ yrsGeneric JD-Mandatory Skills - Data Science, Gen AI, Python, RAG and Azure/AWS/GCP, AI/ML, NLP Secondary - (Any) Machine Learning, Deep Learning, ChatGPT, Langchain, Prompt, vector stores, RAG, llama, Computer vision, Deep learning, Machine learning, OCR, Transformer, regression, forecasting, classification, hyper parameter tunning, MLOps, Inference, Model training, Model DeploymentJD_ More than 6 years of experience in Data Engineering, Data Science and AI / ML domainExcellent understanding of machine learning techniques and algorithms, such as GPTs, CNN, RNN, k-NN, Naive Bayes, SVM, Decision Forests, etc.Experience using business intelligence tools (e.g. Tableau, PowerBI) and data frameworks (e.g. Hadoop)Experience in Cloud native skills.Knowledge of SQL and Python; familiarity with Scala, Java or C++ is an assetAnalytical mind and business acumen and Strong math skills (e.g. statistics, algebra)Experience with common data science toolkits, such as TensorFlow, KERAs, PyTorch, PANDAs, Microsoft CNTK, NumPy etc. Deep expertise in at least one of these is highly desirable.Experience with NLP, NLG and Large Language Models like BERT, LLaMa, LaMDA, GPT, BLOOM, PaLM, DALL-E, etc.Great communication and presentation skills. Should have experience in working in a fast-paced team culture.Experience with AIML and Big Data technologies like AWS SageMaker, Azure Cognitive Services, Google Colab, Jupyter Notebook, Hadoop, PySpark, HIVE, AWS EMR etc.Experience with NoSQL databases, such as MongoDB, Cassandra, HBase, Vector databasesGood understanding of applied statistics skills, such as distributions, statistical testing, regression, etc.Should be a data-oriented person with analytical mind and business acumen.

Fill below mandatory link.  MLops-virtual interview with Capgemini--all locations, Monday 27th Oct 2025 Fill out form   Position: - Machine Learning Ops Harvest Level: Software Engineer  Job Description:    Machine Learning Ops Engineer is the one whos responsible for managing and optimizing the deployment and operation of machine learning models in production environments. He/she works closely with data scientists, software engineers, and DevOps teams to ensure that machine learning models are integrated seamlessly into existing systems and can scale effectively. Role & Responsibilities Responsible for design and implementation of secure and scalable infrastructure in Azure cloud. Build and maintain CI/CD/CT pipeline across azure cloud platform for Data science projects. Own and automate the infrastructure provisioning, demand forecasting and capacity planning. Build tools and automation to improve systems availability, reliability, performance, monitoring and scalability. Setting up the alerts and monitoring for the platform. Monitoring system, application health, security controls and cost Envision, implement and rollout best MLOPs/DevOps tools and automation.  Requirements: Strong understanding of concepts related to Machine Learning, Architecture, and MLOps practices. Proficient in Azure Cloud practices and managing Azure Kubernetes Service infrastructure. Hands on experience in Python or any other scripting languages (Groovy, Shell) Experience with monitoring tools. Hands-on experience in Docker, Kubernetes. Excellent experience with source code management tools (git) Experience with modern cloud development practices such as Microservices Architecture, REST Interfaces etc. Experience in implementing Data/Model drift. Strive for Continuous Improvement and build continuous integration, continuous development, and constant deployment pipeline. Excellent Troubleshooting skills Always ready to learn more and adopt new cutting-edge technology with right value proposition.  

Designation: AM / MT Data Science (Data Analyst) Location: Mumbai  Work Experience: 0.6 months to 3 years Qualification: Bachelors or Masters degree in Engineering,Statistics, Mathematics, Computer Science or related fields roles and responsibilities Data Analysis & Exploration: Analyse structured and unstructured data to identify trends, patterns and actionable insights Perform data profiling, cleaning and transformation Assist in developing dashboards, visual stories using tools like TableauModel development support: Collaborate with Data scientist in Feature engineering, data cleanup / transformation and modelevaluation Support testing and validation of ML/AI models using Python Help interpret model output and translate results for businessBusiness Understanding and Insights: Participate in discussions with business to understand business problems Document, track and report the progress Help in defining the metrics and evaluating impact of AI/ML models post deploymentAI initiatives (not mandatory) Support GenAI workflows (Prompt engineering, annotation, evaluation) Assist in model testing, output comparison or basic RAG pipeline use cases Required Skills Bachelors or Masters degree in Engineering, Statistics, Mathematics, Computer Science or related fields Strong Knowledge of Excel, Google Sheets and SQL Familiarity with Python (Pandas, NumPy, Matplotlib) Analytics and problem solving mindset Understanding of basic ML concepts, Jupyter notebooks etc. Awareness of NLP/LLM concepts (not mandatory)  

A Data Science/Data Analytics Trainer is responsible for delivering high-quality training sessions on data analysis, machine learning, Python, SQL, and visualization tools like Power BI or Tableau. The trainer develops course materials, practical projects, and assessments to ensure effective learning outcomes. They guide students on real-time data analytics techniques, model building, and data-driven decision-making. The role also includes mentoring learners, tracking progress, and supporting their career readiness through workshops and hands-on sessions. KRA (Key Result Areas) for Data Science / Data Analytics Trainer Conduct theory and practical sessions effectively as per course schedule. Design and update course materials, projects, and assessments. Mentor students in real-world data analytics and visualization projects. Monitor and evaluate learner performance and provide constructive feedback. Stay current with industry trends, tools, and certifications. Conduct seminars, workshops, and placement readiness sessions. Achieve student satisfaction and training completion targets.Skill Required :- . Paython. Machine Learning . sql . Advance Excel 

As a Machine Learning Engineer at our company, you will be responsible for designing, developing, and implementing machine learning models and algorithms to solve complex business problems across various product platforms such as Logistics & Maritime. Your key responsibilities will include: - Collaborating with cross-functional teams to understand business requirements and translating them into AI/ML solutions. - Exploring and pre-processing large datasets to ensure data quality and relevance for model training. - Utilizing AWS or Azure-based cloud services for data storage, processing, and model deployment. - Building and optimizing AI models like TensorFlow to achieve high performance and accuracy. - Conducting model training, parameter tuning, and performance evaluation to continuously improve model performance. - Keeping up-to-date with the latest advancements in AI/ML technologies and contributing to the research and adoption of new techniques. - Performing data analysis and visualization to provide insights and support data-driven decision-making. - Working on bringing AI-driven features to various products to enhance automation, prediction, and recommendation capabilities. - Developing and maintaining documentation for AI models, data pipelines, and experiments. Qualifications and Experience: - Education: Bachelor's or Master's degree in Engineering Science, Data Science, or related field. - Experience: 1-2 years of relevant experience in AI/ML techniques, model building, and data science. Key Skills: - Experience in working with AI/ML for Logistics and Maritime products is preferable. - Understanding of business challenges in Logistics and Maritime industries. - Prior experience in integrating AI/ML into existing products. - Proficiency in programming languages like Python, R, or Java for data manipulation and model implementation. - Strong knowledge of machine learning algorithms, including supervised and unsupervised learning, regression, classification, and clustering. - Hands-on experience with AWS or Azure-based tools for data storage, processing, and cloud-based AI services. - Familiarity with popular AI frameworks like TensorFlow, PyTorch, Keras, or Scikit-learn for model development. - Demonstrated ability to work on end-to-end AI/ML projects, from data exploration and pre-processing to model deployment. - Solid understanding of data structures, data wrangling, and feature engineering techniques. - Strong analytical and critical thinking skills, with a keen eye for detail. - Excellent communication and collaboration skills to work effectively in a team environment. - Ability to work with diverse product teams in multiple verticals. Preferred Skills: - Experience with SQL & data tools. - Hands-on exposure to time-series forecasting, clustering, regression, and classification models. - Knowledge of optimization algorithms (linear programming, heuristics, genetic algorithms). - Exposure to/experience with fine-tuning of AI models. (Note: Additional company details are not provided in the job description),

You would be working as a Network & Svcs Operation Assoc Manager at Accenture, a global professional services company with expertise in digital, cloud, and security solutions. Your role involves transforming back office and network operations to enhance customer experience, reduce time to market, and increase revenue. You will be responsible for managing problems in information technology infrastructure to minimize their impact on business operations and prevent their recurrence by identifying root causes and implementing corrective measures. **Key Responsibilities:** - Transform back office and network operations to improve customer experience and capex efficiency - Manage problems in IT infrastructure to minimize impact on business operations - Identify root causes of incidents and take corrective actions - Utilize advanced programming skills for maintenance and creation of SQL scripts, Python, and PySpark - Participate in GenAI and Machine Learning projects - Learn and understand data models and billing processes - Utilize critical thinking skills for problem-solving - Create and maintain reports and metrics with strong numerical skills - Manage expense, billing, or financial processes - Implement process/system management - Demonstrate good organizational skills, self-discipline, and systematic approach - Utilize analytical thinking for problem-solving - Possess knowledge of Telecom Products and Services **Qualifications Required:** - Graduation in any field - 10 to 14 years of experience in relevant roles - Advanced programming skills in SQL, Python, and PySpark - Experience with Databricks and Palantir is advantageous - Strong understanding of billing processes and data models - Good interpersonal skills and flexibility - Ability to work in rotational shifts Please note that this role may require you to manage medium-small sized teams and/or work efforts at a client or within Accenture.,

As a Lead Data Scientist at the company, you will be utilizing your expertise in Generative AI (GenAI), Large Language Models (LLM), Machine Learning (ML), and Natural Language Processing (NLP) to lead projects from conception to deployment. You will play a crucial role in the advanced analytics team, contributing to the creation and development of insights products for corporate clients and in-house products. Key Responsibilities: - Lead the design, development, and implementation of advanced ML models and algorithms. - Collaborate with cross-functional teams to identify business problems and develop data-driven solutions. - Mentor and guide junior data scientists in best practices and methodologies. - Stay updated with the latest advancements in GenAI, LLM, and NLP technologies. - Create ML models and advanced algorithms to identify and flag risky transactions & card members. - Work on innovative Generative AI-based solutions to enhance user experience of digital products and increase team productivity. - Gain expertise on data understanding and tables to maximize their usage in insight products. - Deploy models in enterprise tools and monitor their performance over time. - Work with product, UX, and tech teams to deliver products in an agile framework. - Conceptualize, develop, and prototype new insights products/product/feature enhancements for travel optimization. Qualifications: - 4+ years of experience in data science or a related field. - Proficiency in programming languages such as Python, R Programming, Machine Learning, Deep Learning, Generative AI, LLM, Prompt Engineering - Azure, AWS - SQL, MongoDB. - Strong understanding of machine learning frameworks. - Experience with NLP techniques and tools. - Excellent problem-solving skills and ability to work in a fast-paced environment.,

Role Overview: As a Senior Machine Learning Engineer at PitchBook, your role involves utilizing machine learning, statistical modeling, and natural language processing (NLP) to gather a large volume of data for the PitchBook Platform and uncover insights for the capital markets. You will also play a vital role as a mentor for junior team members, shaping the long-term direction of the team with your strong motivation to succeed. Key Responsibilities: - Applying NLP and Machine Learning techniques to analyze and extract features from vast amounts of unstructured data, identifying relevant features, and leveraging suitable algorithms to gain insights. - Extracting insights from textual data like articles and conversations to recognize unique signals of company performance, aiding in market trend prediction. - Collaborating efficiently with Data Scientists, Product, and Engineering teams to automate processes for large-scale data, enhancing data management and analysis. - Staying informed about industry trends in Data Science and ML, actively contributing to the development of best practices and thought leadership. - Supporting the company's vision by embracing its values and cultivating a positive work culture. - Participating in company initiatives to contribute to overall success. Qualifications Required: - Bachelor's degree in Computer Science, Machine Learning, Statistics, or a related field. - 5+ years of experience applying machine learning, statistical modeling, and NLP in a production environment. - Demonstrated expertise in natural language processing. - Extensive experience with Python and OOP Framework. - Proficiency in using SQL for data extraction. - Strong communication and data presentation skills. - Strong problem-solving abilities. - Ability to work autonomously and provide solutions to your own problems as well as those of others. - Capability to communicate complex analysis clearly, precisely, and in an actionable manner. - Experience collaborating closely with software development teams is a plus. - Knowledge in financial services, investment, banking, VC, and/or PE is preferred but not mandatory.,

As an innovative and business-savvy AI Product Manager specializing in Digital Transformation, your role will involve driving the design and execution of AI-powered solutions across global financial and trading ecosystems. Your primary responsibilities will include: - Partnering with business stakeholders and domain experts to identify opportunities for AI integration within existing and new workflows. - Conducting end-to-end analysis of business processes, data sources, and technology ecosystems to define AI use cases with tangible ROI. - Developing and prioritizing a clear product roadmap aligned with business goals and emerging AI capabilities. - Translating complex business challenges into structured problem statements, functional specifications, and user stories for AI engineers and data scientists. - Collaborating with technical teams to define model data requirements, design prompt frameworks, and evaluate model performance against business metrics. - Overseeing the AI product lifecycle from conception and prototyping to UAT, deployment, and continuous improvement. - Monitoring adoption, collecting feedback, and iterating on features to improve model accuracy and user experience. - Staying at the forefront of emerging technologies, including LLMs, RAG architectures, and generative AI frameworks. - Researching and proposing new ways to integrate AI across operational, analytical, and decision-support systems. - Promoting best practices in AI product governance, data privacy, and ethical AI usage. Qualifications & Experience: - 3-6 years of experience in product management, with a focus on AI, machine learning, or technology-driven transformations. - Strong understanding of AI/ML lifecycle, system architecture, and data integration principles. - Proven track record of managing complex products involving analytics, automation, or predictive insights. - Exceptional analytical, problem-solving, and stakeholder management skills. - Proficiency in Figma, MS Excel/Google Sheets, and Agile project methodologies. - Experience working with financial services, trading, or commodity operations is highly preferred. - Exposure to Prompt Engineering, RAG pipelines, and modern LLM applications. - Familiarity with SQL, Python, or BI tools for data analysis is an added advantage. - Based in or open to relocating to Navi Mumbai. Key Skills: - AI Product Management - Machine Learning - LLMs & RAG Pipelines - SaaS - SDLC - Figma - Agile - Quantitative Finance - Commodities Trading - Process Automation,

Role Overview: You will collaborate with cross-functional teams to design, develop, and implement innovative solutions using Large Language Models (LLMs) and the latest data science technologies. Your role will involve understanding business problems and implementing machine learning models to solve complex business problems. Additionally, you will assist in the analysis and interpretation of complex datasets to extract valuable insights and drive data-driven decision-making. Supporting the development and deployment of machine learning models and algorithms to enhance various aspects of insurance operations will be a key responsibility. You will also contribute to the creation of data pipelines and ETL processes to ensure efficient data collection, processing, and storage. Furthermore, your involvement in the research and evaluation of emerging technologies and tools will continuously improve solutions and keep abreast of industry trends. Leading and mentoring team members, effective communication with stakeholders, and delivering high-quality results on time and within budget are essential aspects of this role. Key Responsibilities: - Collaborate with cross-functional teams to design, develop, and implement innovative solutions using LLMs and the latest data science technologies. - Understand business problems and implement machine learning models to solve complex business problems. - Assist in the analysis and interpretation of complex datasets to extract valuable insights and drive data-driven decision-making. - Support the development and deployment of machine learning models and algorithms to enhance various aspects of insurance operations. - Contribute to the creation of data pipelines and ETL processes to ensure efficient data collection, processing, and storage. - Participate in the research and evaluation of emerging technologies and tools to continuously improve solutions and stay ahead of industry trends. - Lead and mentor team members, communicate effectively with stakeholders, and deliver high-quality results on time and within budget. Qualification Required: - Ph.D. in data Science or MSc (Maths/Statistics) with 3+ years of experience. - Formal training & certification in data science/AI/ML is required. - Strong enthusiasm and passion for new technologies, especially Large Language Models (LLMs) and their applications. - Good understanding of data science concepts, including statistical analysis, machine learning, and predictive modeling. - Familiarity with big data technologies such as Hadoop, Spark, or similar frameworks. - Proficiency in programming languages such as Python, R, or Java. - Knowledge of SQL and experience with databases.,

Position: Quality Assurance Engineer (AI/ML) Work Mode: Remote Employment Type: Permanent Salary: Best in the industry   Job Responsibilities: Develop and execute test plans for AI/ML models and data pipelines Build and maintain Playwright automation (TypeScript/JavaScript) Validate AI model accuracy and monitor model drift Perform data quality checks and support microservices testing Integrate automation into CI/CD pipelines Troubleshoot issues and contribute to process improvement Prepare test documentation and quality reports   Required Skills & Experience: 4+ years of QA experience with 2+ years in automation Strong hands-on experience with Playwright Experience in testing AI/ML systems and ML evaluation metrics Knowledge of Python, JavaScript/TypeScript, and API testing Familiarity with microservices, Docker, Kubernetes, Git, CI/CD Good communication, analytical skills, and Agile experience

As a hiring partner for many IT organizations,We are hiring for Sr. Architect AI-Gen AI position as direct full time on the payroll the Hiring Organization as their permanent employee.Please share your updated word format resume with CTC, Location and Notice period at the earliest at "info@unimorphtech.com". Role : senior architect - artificial intelligenceExperience : 10-15 YrsLocation : Mumbai or Pune # key skills : AI solutions,Gen AI,Design and develop AI applications,Deep Learning,Machine learning models,ETL,Data processing,NLP,AI tools,machine learning models, algorithms, and frameworks,Python,R,TensorFlow, PyTorch,cloud platforms AWS, Azure,RDBMS,Cloud Databases,NOSQL,Technical Leadership,mentoring. # job summary : This is a strategic leadership role responsible for designing, implementing, and overseeing advanced artificial intelligence (AI) solutions and processes. The Senior AI Architect collaborates closely with customers to ensure AI solutions align with business objectives, are scalable, and meet industry standards. This role plays a crucial part in driving innovation through AI, ensuring the sustainable and efficient implementation of cutting-edge technologies to deliver impactful solutions for our customers.  # key responsibilities: Design and develop AI applications across various domains, leveraging expertise in Generative AI, deep learning, NLP, and computer vision. Partner with business stakeholders to translate business objectives into actionable AI and Generative AI initiatives. Collaborate with data scientists, engineers, and domain experts to ensure the effective execution of AI projects. Evaluate emerging AI technologies and tools, assessing their suitability for organizational needs. Architect and deploy end-to-end AI solutions that seamlessly integrate with existing IT infrastructures. Lead cross-disciplinary teams to deliver AI-driven solutions that meet strategic goals. Mentor other team members, promoting best practices for AI development and deployment. Develop high-level designs for data pipelines, model training, deployment strategies, and system integration. Lead the selection and optimization of machine learning models, algorithms, and frameworks (e.g., TensorFlow, PyTorch). Establish monitoring frameworks for deployed AI systems, identifying bottlenecks and implementing improvements to ensure accuracy and reliability. # skills & qualifications: # Educational Background: Masters or Ph.D. in Computer Science, Artificial Intelligence, or a related field. In lieu of - qualifications a strong experience in the AI field will be considered. Technical Proficiency: Strong programming skills in Python or R; deep knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch) and cloud platforms (e.g., AWS, Azure). # experience: Proven experience in designing scalable AI architectures and optimizing model performance. Experience managing large-scale projects with diverse teams. Ideal candidates will have at least three large scale AI projects implementation of going live with multiple POC / PoV. Problem-Solving: Strong critical thinking and problem-solving abilities to tackle complex challenges. Knowledge of industry use cases in AI / ML will be expected. # Communication: Excellent communication skills to collaborate effectively with both technical and non-technical stakeholders. Ethical and Regulatory Knowledge: Familiarity with ethical AI practices and data protection regulations. Specialized Expertise: Expertise in areas such as Generative AI, Agent AI, Deep Learning architectures, NLP models, and computer vision algorithms.

As a game developer, your role involves building awesome multi-platform games for IOS, Android, and Windows phone. You will be responsible for directing junior developers, architecting new games, and developing best practices for the team. Your passion and dedication will be evident through your proactive participation in team discussions, scrum meetings, and game feedback cycles to help improve the overall gaming experience. You should have a minimum of 5 years of experience in Unity game development. Key Responsibilities: - Strong knowledge of object-oriented design, design patterns, 3D Math, and data structures. - Design, build, and maintain efficient, reusable, and reliable code. - Ability to work on fixed deadlines. - Knowledge of AWS services and API Gateways. - Experience with game physics and particle systems. - Proficient knowledge of code versioning tools such as GitHub. - Experience in team handling. - Perform memory and performance optimization of Unity 2D and 3D to meet the requirements for target platforms of the game. - Provide support to technical artists and other team members as required to correctly and efficiently utilize the 2D and 3D technology. Qualifications Required: - Excellent knowledge of Unity with at least 5 years of experience. - Has implemented saved game data, like player progress, in a structured and extensible format like JSON or XML. - Has launched one or more titles on iOS, Android, and Web. - Experience with Asset Bundles. - Experience with AI Programming / Machine learning.,

Role Overview: You will be a Data Scientist - AI responsible for designing and deploying advanced deep learning systems to extract actionable insights from diverse data sources. Your work will involve building scalable AI pipelines, fine-tuning transformer models, and collaborating with quantitative researchers to translate machine learning outputs into meaningful business signals. Key Responsibilities: - Research, design, and train deep learning models (LLMs, CNNs) for extracting pricing or predictive signals from various data types. - Develop and maintain end-to-end AI orchestration pipelines for data ingestion, feature extraction, model training, and real-time inference. - Create scalable MLOps workflows using AWS, Docker, CI/CD, and orchestration tools for automated model deployment, monitoring, and version control. - Fine-tune Hugging Face transformer models and integrate them into production-ready AI systems. - Architect and manage data processing layers in Python and MongoDB to support reproducible, high-performance experimentation. - Collaborate with quantitative researchers to translate ML model outputs into actionable insights or trading signals. - Implement evaluation frameworks to monitor model performance, drift, and reliability continuously. - Experiment with multimodal, self-supervised, and reinforcement learning techniques to enhance predictive capabilities and drive innovation. Qualification Required: - 3-6 years of experience in data science, applied AI, or ML research (candidates with less experience are also encouraged to apply). - Proficiency in Python, with expertise in PyTorch or TensorFlow. - Hands-on experience with transformer and CNN architectures. - Familiarity with Hugging Face, AWS SageMaker, or similar ML orchestration platforms. - Proven experience in MLOps - building, deploying, and maintaining production-grade ML pipelines. - Working knowledge of data engineering tools such as MongoDB, Pandas, NumPy, Airflow, and Prefect. - Strong mathematical foundation in probability, statistics, and optimization. - Excellent software engineering practices with clean, modular code, Git-based version control, and CI/CD. - A strong sense of curiosity, experimentation, and drive to apply AI solutions to real-world problems. - Must be based in or open to relocating to Navi Mumbai.,

You will be joining LivetechINDIA as a Data Analyst Trainer to educate and guide students in Python, Machine Learning, and Artificial Intelligence. As a part of your role, your responsibilities will include: - Conducting interactive sessions on Python, Machine Learning, Deep Learning, NLP, Computer Vision, and Generative AI. - Developing and revising training materials, assignments, and practical projects. - Assisting students in implementing their knowledge into real-world projects effectively. To excel in this position, you should possess: - Proficiency in Python, NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch. - Strong enthusiasm for AI, Machine Learning, and Data Science. - Exceptional communication and presentation abilities. - Freshers with a solid grasp of concepts or practical experience are encouraged to apply. - A degree in Data Science, AI, Computer Science, Mathematics, or Statistics. Join LivetechINDIA to jumpstart your career and gain hands-on experience in the field of Data Science and AI within a friendly and growth-oriented environment. This is a full-time position based in Navi Mumbai, Maharashtra, and requires in-person work. If you are passionate about working as an IT trainer and meet the qualifications mentioned above, we encourage you to apply and be a part of our dynamic team.,

As an AI/ML Trainer at our training team, your role will involve conducting high-quality training sessions on Python, Machine Learning algorithms, AI concepts, Deep Learning basics, and related tools. You will explain these concepts in a simple, practical, and interactive manner, prepare training materials, assignments, and assessments, guide students through real-time projects, coding practice, and model building, monitor student progress, and provide feedback. It is essential to stay updated with new tools, libraries, and trends in AI & ML. **Key Responsibilities:** - Conduct training sessions on Python, Machine Learning algorithms, AI concepts, Deep Learning basics, and related tools. - Explain concepts in a simple, practical, and interactive manner. - Prepare training materials, assignments, and assessments. - Guide students through real-time projects, coding practice, and model building. - Monitor student progress and provide feedback. - Stay updated with new tools, libraries, and trends in AI & ML. **Freshers (2025 Passouts):** - Strong understanding of Python programming. - Basic knowledge of ML algorithms (Regression, Classification, Clustering, etc.). - Good communication and presentation skills. - Basic knowledge of Coding. **Experienced Candidates:** - Experience in AI/ML data handling and training. - A good understanding of Deep Learning is a plus. - Ability to teach advanced topics and support project work. - Passion for teaching & mentoring students. **Qualification Required:** - Bachelors degree in Computer Science / IT / Engineering / BCA / MCA / related fields. - Freshers (2025 graduates) and experienced professionals can apply. - Passion for teaching & mentoring students. In addition to the above, you will have the opportunity to train students, gain exposure to live projects, and explore growth opportunities within LivetechINDIA. (Note: Any additional details of the company were not provided in the job description),

As a Machine Learning Engineer at our company in Navi Mumbai, you will be responsible for utilizing your expertise in Semantic Segmentation, CNN architectures, LabelStudio, C++, Python, PyTorch, Keras, Visual Odometry, SLAM, and Point Cloud Processing to drive impactful projects. With a minimum of 5 to 8 years of relevant experience, you will play a key role in developing cutting-edge machine learning solutions. **Key Responsibilities:** - Implement Semantic Segmentation techniques, including Unet++ - Utilize various CNN architectures for model development - Work with LabelStudio for data labeling tasks - Proficient in programming languages such as C++ and Python - Experience with PyTorch and Keras frameworks - Familiarity with Visual Odometry and SLAM for robotics applications - Knowledge of Point Cloud Processing for 3D data analysis **Qualifications Required:** - Post-graduation in Machine Vision, Machine Learning, or Data Science is preferred - Candidates from Tier-1 colleges with a Bachelor's degree will be considered - A PhD in relevant fields is a strong advantage If you meet these requirements and are excited about the opportunity to work on challenging machine learning projects, please reach out by sending your profile via email or direct message. We are looking forward to connecting with the right talent and providing a platform for your career growth. Regards, Kshama +91 9833964181 kshama.raj@blueocean.systems *Please note that this is a full-time, permanent position with an in-person work location.*,

As a Machine Learning Operation Engineer at Onclusive, you will be responsible for deploying, scaling, and optimizing backend algorithms, data ingestion pipelines, machine learning services, and data platforms to support analysis on vast amounts of text and analytics data. Your technical expertise will be utilized to solve challenging marketing problems by applying Big Data analytics to Onclusive's billions of online content data points. **Key Responsibilities:** - Design and build scalable machine learning services and data platforms. - Utilize benchmarks, metrics, and monitoring to measure and improve services. - Manage systems processing tens of millions of jobs per day. - Research, design, implement, and validate cutting-edge algorithms for data analysis. - Collaborate with data scientists and machine learning engineers on ML, AI, and NLP techniques. - Deploy, manage, and optimize inference services on autoscaling fleets with GPUs and specialized hardware. **Qualifications Required:** - Degree (BS, MS, or Ph.D.) in Computer Science or a related field with hands-on experience. - Proficiency in Python with a strong understanding of Object-Oriented Programming (OOP). - Solid knowledge of containerization, preferably Docker. - Experience working with Kubernetes. - Familiarity with Infrastructure as Code (IAC), particularly Terraform for AWS. - Knowledge of Version Control Systems (VCS) like Git and GitHub, along with CI/CD, preferably GitHub Actions. - Understanding of release management and quality assurance protocols. - Good grasp of ML principles and data engineering experience. - Exposure to deep learning tech-stacks such as Torch/Tensorflow and Transformers is a plus. Onclusive is a global fast-growing company offering competitive salary and benefits, hybrid working opportunities, a focus on employee wellbeing, including flexible working and mental health support. Join us to be part of a passionate team dedicated to professional development and impactful work.,

As a Junior Quality Assurance Functional Tester at Reliance Industries Limited, you will play a crucial role in ensuring the highest quality and performance of our software solutions. Your responsibilities will include developing and executing functional test cases, collaborating with development teams, creating automated test scripts, analyzing test results, participating in code reviews, and monitoring production system performance. To excel in this role, you should have proficiency in statistical analysis, familiarity with machine learning, strong skills in Python programming, experience in data visualization, competency in predictive modeling, understanding of big data principles, knowledge of SQL, and the ability to perform data mining. **Roles And Responsibilities:** - Develop and execute functional test cases to assess software quality comprehensively. - Collaborate with development teams to understand application functionalities and scope of testing. - Create and maintain automated test scripts to enhance the consistency and speed of testing phases. - Analyze test results, document defects, and ensure correct resolution through retesting. - Participate in code reviews to provide insights for enhancing code quality and preventing future issues. - Design, develop, and maintain testing environments and configurations for various software applications. - Monitor production system performance to promptly identify and troubleshoot operational problems. - Prepare and present detailed reports on testing activities, outcomes, and quality assessments to stakeholders. **Qualifications And Skills:** - Proficiency in statistical analysis for assessing and ensuring software quality and effectiveness. - Familiarity with machine learning to enhance testing processes and predict potential quality issues. - Strong skills in Python programming for creating automated tests and data analysis scripts. - Experience in data visualization to convey testing results clearly and actionable. - Competency in predictive modeling to foresee and mitigate potential software faults proactively. - Understanding of big data principles for efficient management and analysis of large-scale testing data. - Knowledge of SQL for effective interaction with databases and data retrieval for testing purposes. - Ability to perform data mining to extract relevant insights from software test datasets.,

As part of this role, you will be responsible for the digitization and improvement of plant operations and efficiencies utilizing advanced automation and data analytics to merge Information Technology (IT) with operational Technology (OT). This is a unique opportunity to be part of a new team working on high-impact projects that involve big data analytics and machine learning to enhance manufacturing operations. Your key responsibilities will include: - Conducting in-house conceptual studies to develop advanced control system architecture - Designing advanced analytic solutions, testing them, and deploying them in plants - Leading data acquisition and extraction, data management, and applying quantitative and qualitative analytical techniques - Coordinating with the Procurement and Logistics team to ensure on-time delivery of project materials - Collaborating with Engineering Consultants and Vendors to finalize engineering deliverables - Coordinating with key stakeholders at sites for the implementation of new technology solutions and collaborating with partners/vendors for project execution - Addressing and resolving application-related issues faced by internal customers and translating usability and field implementation findings into design improvements - Communicating with internal teams and external clients to deliver functional requirements like GUI, screen, and interface designs - Reviewing process automation documents and planning and scheduling end-user trainings - Assisting Project Managers in defining project objectives, scope, and ensuring the delivery and implementation of solutions In terms of qualifications, the role requires: - Minimum Bachelor's Degree in Engineering - 5 to 9 years of experience, preferably in Plant operation or CES - Experience in administering data historian (IP-21) - Exposure to Big data analytics, MATLAB would be an added advantage - Ability to learn new technologies - Knowledge of Hadoop, HANA, Big Data, SAS, Python, R-programming will be an added advantage Additionally, the desired skills and competencies for this role include: - Good Communication Skills - Sufficient Knowledge of statistical modeling, machine learning, OPC, APC - Hands-on experience in the design of Supervisory Data Acquisition System (SCADA), DCS, PLCs - Familiarization with various measurement systems, advanced automation technologies, process data historian, and Manufacturing Execution System,