6497 Machine Learning Jobs - Page 5

Required experience : 0-4 Years Job brief We are searching for a data scientist to examine vast amounts of unstructured data in order to spot trends that may enhance our business. We will rely on you to provide data products from which we can obtain insightful business information. You should have a strong analytical mind and a talent for arithmetic, statistics, and analysis for this position. For the purpose of understanding data, critical thinking and problem-solving abilities are crucial. In addition, we look for enthusiasm for research and machine learning. Job responsibilities Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams Requirements Proven experience as a Data Scientist or Data Analyst Understanding of machine-learning and operations research Experience in data mining Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop) Analytical mind and business acumen Strong math skills (e.g. statistics, algebra) Problem-solving aptitude Excellent communication and presentation skills BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred Why Build Your Career With Daydreamsoft? Be part of a team that is not just a family but a sports team pushing your growth, valuing your ideas, and helping you achieve your career goals. Team That Values Needs, Growth & Well-Being We prioritize the growth, well-being, and success of our people. Our supportive culture ensures you have the resources and opportunities to achieve both personal and professional goals. Our mission is to enable every individual to reach their full potential.

Python Developer Machine Learning & AI (2-3 Years Experience) Python Developer Machine Learning & AI (2-3 Years Experience) Job Summary: We are seeking a skilled and motivated Python Developer with 2 to 3 years of experience in Machine Learning and Artificial Intelligence. The ideal candidate will have hands-on experience in developing, training, and deploying machine learning models, and should be proficient in Python and associated data science libraries. You will work with our data science and engineering teams to build intelligent solutions that solve real-world problems. Key Responsibilities: Develop and maintain machine learning models using Python. Work on AI-driven applications, including predictive modeling, natural language processing, and computer vision (based on project requirements). Collaborate with cross-functional teams to understand business requirements and translate them into ML solutions. Preprocess, clean, and transform data for training and evaluation. Perform model training, tuning, evaluation, and deployment using tools like scikit-learn, TensorFlow, or PyTorch. Write modular, efficient, and testable code. Document processes, models, and experiments clearly for team use and future reference. Stay updated with the latest trends and advancements in AI and machine learning. Required Skills: 2 3 years of hands-on experience with Python programming. Solid understanding of machine learning algorithms (supervised, unsupervised, and reinforcement learning). Experience with libraries such as scikit-learn , pandas , NumPy , Matplotlib , and Seaborn . Exposure to deep learning frameworks like TensorFlow , Keras , or PyTorch . Good understanding of data structures and algorithms. Experience with model evaluation techniques and performance metrics. Familiarity with Jupyter Notebooks, version control (Git), and cloud platforms (AWS, GCP, or Azure) is a plus. Strong analytical and problem-solving skills. Preferred Qualifications: Bachelor s or Master s degree in Computer Science, Data Science, Mathematics, or related field. Experience with deploying ML models using Flask , FastAPI , or Docker . Knowledge of MLOps and model lifecycle management is an advantage. Understanding of NLP or Computer Vision is a plus. Job Type: Technical Jobs Job Location: Bangalore Job Education: BE/ B. Tech / MCA Job Experience: 2-3 years

Job Designation: Java with Hadoop Developer Location: Gurgaon, India Required experience (in years)- 3 to 7 yrs This position reports into the VP Engineering at Airlinq. He will work with the Engineering and Development teams to build and maintain a testing and quality program for the full suite of Airlinq s products and services. The role involves not limited to the following: Part of a team to build end-end IoT solutions for various industry problems using Hadoop. You will be responsible for building quick prototypes and/or demonstrations to help management better understand the value of various technologies especially IoT, Machine Learning, Cloud, Micro-Services, DevOps and AI. Develop various reusable components, frameworks and accelerators to reduce the development lifecycle of future IoT projects. In this role, you must be able to work with minimal direction and supervision. Setting up Cloud platforms for use-cases Experience requirements: Minimum of 3 years IT experience with at least 2 years working on Cloud technologies (AWS or Azure). Must have architecture and design experience in building highly scalable enterprise grade applications. Must be able to design and setup a continuous integration environment, processes and tools in place for the target cloud platform. Proficient in Java and Spring Framework. Must have strong background on IoT concepts Connectivity, Protocols, Security and Data Stream. Must be familiar at least at the conceptual level on the emerging technologies including Big Data, NoSQL, Machine Learning, AI, Blockchain etc. Hands-on experience with AWS services from Compute, Storage, Networking and Security components Skills requirements: Knowledge in Big Data technologies Hadoop, Pig, Hive and Spark Experience working with any Hadoop platform extensively. Experience in migrating workload from on-premise to cloud and cloud to cloud migrations Experience in programming of MapReduce, Spark Knowledge of Hadoop Sizing and Implementation Good hands on experience of Java (core java) and J2EE technologies, Python/Scala,/Unix/Bash Scripts Strong analytical, problem-solving, data analysis and research skills Demonstrable ability to think outside of the box and not be dependent on readily available tools Work Experience: 3-7 years of relevant experience. Work Location: Gurgaon Educational Qualification: B.E. / B.Tech. , M.E. /M. Tech in Computer Science / Electronics Engineering / MCA.

Job Description Department: SOC - Excellence Responsibilities: Design and develop data solutions: Architect, implement, and optimize data solutions using Elasticsearch/OpenSearch, integrating with various data sources and systems. Machine Learning Integration: Apply your expertise in machine learning to develop models, algorithms, and pipelines for data analysis, prediction, and anomaly detection within Elasticsearch/OpenSearch environments. Data Ingestion and Transformation: Design and implement data ingestion pipelines to collect, cleanse, and transform data from diverse sources, ensuring data quality and integrity. Elasticsearch/OpenSearch Administration: Manage and administer Elasticsearch/OpenSearch clusters, including configuration, performance tuning, index optimization, and monitoring. Query Optimization: Optimize complex queries and search operations in Elasticsearch/OpenSearch to ensure efficient and accurate retrieval of data. Troubleshooting and Performance Tuning: Identify and resolve issues related to Elasticsearch/OpenSearch performance, scalability, and reliability, working closely with DevOps and Infrastructure teams. Collaboration and Communication: Collaborate with cross-functional teams, including data scientists, software engineers, and business stakeholders, to understand requirements and deliver effective data solutions. Documentation and Best Practices: Document technical designs, processes, and best practices related to Elasticsearch/OpenSearch and machine learning integration. Provide guidance and mentorship to junior team members. Requirements: Bachelors or Masters degree in Computer Science, Data Science, or a related field. Strong experience in designing, implementing, and managing large-scale Elasticsearch/OpenSearch clusters, including experience with indexing, search queries, performance tuning, and troubleshooting. Expertise in machine learning techniques and frameworks, such as TensorFlow, PyTorch, or scikit-learn, with hands-on experience in developing ML models and integrating them into data pipelines. Proficiency in programming languages like Python, Java, or Scala, and experience with data processing frameworks (e.g., Apache Spark) and distributed computing. Solid understanding of data engineering concepts, including data modeling, ETL processes, data warehousing, and data integration. Experience with cloud platforms like AWS, Azure, or GCP, and knowledge of containerization technologies (e.g., Docker, Kubernetes) is highly desirable. Strong analytical and problem-solving skills, with the ability to work effectively in a fastpaced, collaborative environment. Excellent communication skills, with the ability to translate complex technical concepts into clear and concise explanations for both technical and non-technical stakeholders. Proven track record of successfully delivering data engineering projects on time and within budget. Ahmedabad Requirement Data Ingestion and Transformation, Elastic Search/Open Search Administration, Machine Learning Integration, etc

Job Description Department: Research & Development Key Responsibilities: Lead the design, development, and deployment of data-driven solutions, leveraging Python and machine learning frameworks. Oversee data strategy, ensuring quality, governance, and security. Build and optimize predictive models to solve business challenges. Collaborate with cross-functional teams to integrate data science workflows with Rustbased microservices and cloud platforms. Mentor and guide the data science team, fostering a culture of continuous learning. Stay updated with the latest advancements in AI/ML and recommend their adoption. Required Skills and Qualifications: Proficiency in Python and data science libraries (TensorFlow, PyTorch, Pandas, Scikitlearn). Expertise in AI/ML algorithms, statistical modeling, and data visualization. Good to have experience with big data tools like Hadoop, Spark, or similar. Knowledge of deploying models in production environments. Strong understanding of data governance and compliance standards. Leadership experience with a focus on team management and innovation. Advanced degree in Data Science, Machine Learning, Statistics, or related field. Experience with real-time analytics and streaming data frameworks (e.g., Kafka, Flink). Familiarity with graph-based databases like Neo4j or JanusGraph. Knowledge of AutoML,MLops, frameworks and tools. Exposure to cloud-based AI/ML services (AWS SageMaker, Google AI Platform, Azure ML). Working Experiance on LLM, LAMA, Mistral, RAG, Agentised RAG, LORA, and Model Optimization

Our Purpose Title and Summary Senior Data Engineer Overview The Data & Analytics team is looking for a Databricks Platform Engineer to drive our mission to unlock potential of data assets on AWS cloud by consistently innovating, and moving data to our Cloud platforms and making our business engineering team consume it with the set standards and principles. Our Cloud Data Platform (Databricks) is being used by various groups to derive insights, perform Machine Learning and Data Science activities which in turn supports various revenue generating initiatives across the organization. Role - Databricks Platform Engineer Design and develop high quality, secure, scalable software solutions based on technical requirements specifications and design artifacts within expected time and budget Develop and build solutions on cloud data platforms - Databricks - adhering to industry standards. Develop and build Databricks as a platform for the engineering community to use Build governance framework for cloud data storage and usage for enterprise data platforms. Collaborate on cross-functional agile teams - that include Developers, Report/BI Developers and Product Owners Work closely with Product Owners to understand cloud use cases and determine the best way to implement those. Provide technology leadership in the cloud big data space to development and product teams. Provide technology leadership to other leaders in big data and cloud data platform space. Stay abreast of Data Platform technology trends and industry best practices to hone and maintain your talent Participate in architectural discussions , iteration planning, and feature sizing meetings Adhere to Agile processes and participate actively in agile ceremonies Stakeholder management skills All About You 8-12 years of hands on experience with Cloud data platform Hands on experience in Databricks and deep understanding of its architecture Experience managing, developing and supporting data lakes, lakehouses, warehouse on premise and on cloud, ETL solutions and other analytics solutions. Exposure to technology trends like R, Python and similar technology is added advantage. Experience working with development/engineering teams in a global environment In depth practical experience on native cloud services - Azure and/or AWS. Strong understanding of cloud DevOps practices and implementation. Experience in cloud data migration for large sized enterprise data warehouse environments. Understanding of cloud data governance include compute optimization, cost control, user profile management etc. In depth understanding of cloud operations strategy and user management across various cloud providers and cloud platforms. Strong understanding and hands-on on cloud security models, encryption strategy, network layers for on-prem + cloud hybrid model and other related concepts. Experience in establishing new engineering team and working towards taking the team to steady state Understanding of database technologies like Exadata/Oracle/Netezza/SQL server databases Understanding of SDLC and experience in establishing processes, standards and governance to bring efficiency within development team

A brief about the job: Ayekart is at the forefront of revolutionising the food and agricultural landscape by delivering innovative and impactful solutions tailored to the industry. We seek a dynamic and experienced SVP / VP of Engineering and Delivery to join our team. The ideal candidate should deeply understand the fintech and supply chain industry, particularly B2B SaaS products and API Banking. Key Responsibilities: Leadership Management: Lead and manage a high-performing engineering team, fostering a culture of innovation, collaboration, and continuous improvement. Provide technical guidance, mentorship, and career development for team members. Collaborate with cross-functional teams, including Product, Design, and Operations, to align engineering efforts with business goals. Drive the execution of engineering initiatives, ensuring on-time delivery of high-quality products. System Designs Architecture: Design and oversee the implementation of scalable, secure, and high-performance software architectures. Lead the architectural decisions for complex, distributed systems, ensuring alignment with industry best practices and business requirements. Stay updated with the latest trends in system design and architecture trends to ensure our technology stack remains cutting-edge. Technical Expertise: Hands-on involvement in software development, particularly in Node.js and React.js, to set technical standards and guide the team. Ensure the engineering team can adopt best practices in coding, architecture, and security. Drive innovation in AI technologies, integrating AI/ML models into our fintech product offerings. Added advantage if experienced in Loan Origination Systems (LOS), Loan Management Systems (LMS), Business Correspondents (BC), and Co-lending product development. Implement robust security practices to protect data and ensure compliance with relevant regulations. Lead the development of secure coding practices, conduct regular security audits, and manage vulnerability assessments. Oversee the design and optimisation of database schemas and queries to ensure performance, scalability, and reliability. Ensure the effective use of database technologies, including relational and NoSQL databases. API Banking s Fintech Integration: Strong awareness of API banking and its integration into fintech solutions. Drive the development and integration of API-based services for seamless connectivity with banking and financial systems. AI s Machine Learning: Led the integration of AI/ML technologies into the product, working closely with data scientists and machine learning engineers. Drive AI-driven innovation and identify opportunities to leverage AI for business growth. Contribute to the company s strategic direction by aligning engineering goals with business objectives. Develop and manage the engineering budget, ensuring efficient use of resources. Team Development s Culture: Build and nurture a strong engineering culture that values diversity, inclusion, and professional growth. Organise and participate in code reviews, technical workshops, and team-building activities. Experience: 15+ years of software engineering experience with a strong track record of leadership in a senior engineering and delivery role. Advanced proficiency in Node.js and React.js will be an added advantage. Strong experience in system design, architecture, and distributed systems. In-depth knowledge of security best practices and secure coding standards. Hands-on experience with database technologies (SQL, NoSQL). Experience with AI/ML technologies and their integration into software products. Knowledge and experience with Loan Origination Systems (LOS), Loan Management Systems (LMS), Business Correspondents (BC), and Co-lending product development. Awareness of API banking and fintech integrations. Proven experience in managing and scaling engineering teams. Strong ability to mentor, coach, and develop engineering talent. Ability to align technical initiatives with business goals. Experience in driving innovation and continuous improvement in a fast-paced environment. Soft Skills: Excellent communication and interpersonal skills. Strong problem-solving abilities and decision-making skills. Ability to work collaboratively with cross-functional teams.

Roles and Responsibilities Design, develop, test, deploy, and maintain large-scale data pipelines using DataBricks. Collaborate with cross-functional teams to identify business requirements and design solutions that meet those needs. Develop high-quality code in Python using popular libraries such as Pandas, NumPy, Matplotlib, OpenCV, etc. Participate in code reviews to ensure adherence to coding standards and best practices. Troubleshoot issues related to data processing, machine learning models, and deep learning algorithms. Desired Candidate Profile B.Tech/B.E. degree in Computers or Information Technology from a reputed institution. Strong proficiency in programming languages like Python; hands-on experience with ML frameworks like scikit-learn, TensorFlow, PyTorch. 3-5 years of experience in AI/ML engineering or a related field (Data Science).

Job Description: Role : Data Scientist (5 to 8 years) Location: Bangalore This is Contract to Hire role . We are seeking a highly skilled and motivated Data Scientist with expertise in leveraging data to inform business strategy and drive product innovations. In this role, you will apply your expertise in machine learning and analytics. As Data Scientist you will play a crucial role in developing and implementing innovative solutions that leverage AI/ML platform to extract valuable insights from complex data sets. Your work will contribute to enhancing our data-driven decision-making processes and advancing our products and services. Responsibilities: Improve the performance of RCM processes by building and launching machine learning models such as insurance eligibility prediction Design, execute, and analyze A/B testing experiments to measure model performance and validate product hypotheses Define metrics and create dashboards to measure product performance Generate insights through deep-dive analysis to inform strategy and prioritization Collaborate with product, engineering, and marketing stakeholders to define the product roadmap Identify opportunities and initiate new data science projects that drive company OKRs Communicate technical insights effectively to influence decision-making Skills and Qualifications: You have a Masters degree in a relevant quantitative field (e.g. data science, computer science, statistics, economics) or equivalent in industry experience You have 5-8 years of experience as a data scientist supporting product development You are an expert in SQL You are proficient in either R or Python for data analysis You have successfully developed and launched ML models with quantifiable business impact You have experience designing and analyzing A/B testing experiments and guide product decisions with experimental insights You are results-driven and passionate about building great products, with a proven track record of taking projects from inception to launch Notice Period: Immediate Joiner to 15 days Interested Candidates Share Resume at dipti.bhaisare@in.experis.com

Hello! You've landed on this page, which means you're interested in working with us. Let's take a sneak peek at what it's like to work at Innovaccer. Analytics at Innovaccer Our analytics team is dedicated to weaving analytics and data science magics across our products. They are the owners and custodians of intelligence behind our products. With their expertise and innovative approach, they play a crucial role in building various analytical models (including descriptive, predictive, and prescriptive) to help our end-users make smart decisions. Their focus on continuous improvement and cutting-edge methodologies ensures that they're always creating market leading solutions that propel our products to new heights of success. If analytics is your game, then this team is just the right place for you. About the Role: We are seeking an experienced and strategic Director-Analytics to define and drive the development of data and analytics products that deliver actionable insights and meaningful business outcomes in the healthcare domain. This role is critical in shaping our analytics product suite / portfolio, translating complex customer needs into intuitive, visually compelling dashboards, analytical engines, and tools that drive decision-making and measurable impact. A Day in the Life: Operationalize Product Strategy: Help define the vision, roadmap, and strategy for the analytics product portfolio, working closely with senior analytics leadership, sales, and customer success. Own the execution of the roadmap, ensuring that the developed products meet the requirements and defined use cases. Customer-Centered Design: Engage directly with customers and internal stakeholders to uncover not just stated desires but the underlying use cases and true business challenges. Translate those insights into effective product solutions. Drive Impactful Visualizations: Lead the creation of intuitive dashboards and compelling data visualizations (charts, graphs) that simplify complex information, surface key insights, and clearly guide users to action. Collaborate with Designers: Partner closely with UX/UI designers to ensure analytics products are not only functional but visually engaging, intuitive to navigate, and optimized for user experience. Healthcare Expertise: Leverage a strong understanding of core healthcare metrics and industry dynamics to ensure products deliver relevant, high-value insights to stakeholders. Experience with value-based care models and risk-bearing entities is a strong plus. Take Accountability for Product Development: Proactively monitor product development efforts, identify and remove roadblocks, and ensure on-time delivery of high-quality products that meet user expectations. Portfolio Mindset: Bring experience managing a portfolio of successful analytics products that not only provide clear insights but also meaningfully drive business decisions and actions. Turn Analytics into Action: Apply critical thinking and product design expertise to turn raw analytics into insights, and insights into actions that improve outcomes and performance. Incorporate Advanced Technologies: Utilize a solid understanding of machine learning, deep learning, and generative AI capabilities to enhance product offerings and differentiate solutions in the market. Measure Success: Define and track key performance indicators (KPIs) for product success, continuously refining strategies based on data-driven feedback. What You Need: 10+ years of experience in developing analytical content as an analytics professional or as product management focused on data and analytics products. The ideal candidate is not simply a product manager, but someone who has lived and breathed the role of creating and owning analytics. Demonstrated ability to abstract and synthesize complex feedback to uncover true user needs and design products that address them effectively. Strong portfolio of analytics and dashboard products that combine intuitive design with measurable business impact. Deep understanding of data platforms, business intelligence tools (e.g., Power BI, Tableau, Looker), and modern analytics technologies, including machine learning, deep learning, and generative AI. Solid knowledge of core healthcare metrics, quality measures, and operational performance indicators. Experience with value-based care and risk-bearing entities is highly desirable. Proven success in managing product development lifecycles, removing obstacles, and delivering high-impact products on time. Excellent communication, stakeholder management, and critical thinking skills, with the ability to influence across all levels of the organization. Strong collaboration skills with UX/UI designers to develop products that are not only analytically robust but also visually engaging and easy to use. As this role includes client-facing responsibilities during US hours, you’ll need to be comfortable aligning with that time zone We offer competitive benefits to set you up for success in and outside of work. Here’s What We Offer Generous Leave Benefits: Enjoy generous leave benefits of up to 40 days. Parental Leave: Experience one of the industry's best parental leave policies to spend time with your new addition. Sabbatical Leave Policy: Want to focus on skill development, pursue an academic career, or just take a break? We've got you covered. Health Insurance: We offer health benefits and insurance to you and your family for medically related expenses related to illness, disease, or injury. Pet-Friendly Office*: Spend more time with your treasured friends, even when you're away from home. Bring your furry friends with you to the office and let your colleagues become their friends, too. *Noida office only Creche Facility for children*: Say goodbye to worries and hello to a convenient and reliable creche facility that puts your child's well-being first. *India offices Where and how we work Our Noida office is situated in a posh techspace, equipped with various amenities to support our work environment. Here, we follow a five-day work schedule, allowing us to efficiently carry out our tasks and collaborate effectively within our team.Innovaccer is an equal opportunity employer. We celebrate diversity, and we are committed to fostering an inclusive and diverse workplace where all employees, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, marital status, or veteran status, feel valued and empowered. Disclaimer: Innovaccer does not charge fees or require payment from individuals or agencies for securing employment with us. We do not guarantee job spots or engage in any financial transactions related to employment. If you encounter any posts or requests asking for payment or personal information, we strongly advise you to report them immediately to our HR department at [email protected] . Additionally, please exercise caution and verify the authenticity of any requests before disclosing personal and confidential information, including bank account details. About Innovaccer Innovaccer activates the flow of healthcare data, empowering providers, payers, and government organizations to deliver intelligent and connected experiences that advance health outcomes. The Healthcare Intelligence Cloud equips every stakeholder in the patient journey to turn fragmented data into proactive, coordinated actions that elevate the quality of care and drive operational performance. Leading healthcare organizations like CommonSpirit Health, Atlantic Health, and Banner Health trust Innovaccer to integrate a system of intelligence into their existing infrastructure— extending the human touch in healthcare. For more information, visit www.innovaccer.com. Check us out on YouTube, Glassdoor, LinkedIn, Instagram, and the Web.

We are seeking a highly skilled Full Stack Developer with extensive experience and expertise in developing AI-driven tools using Python and Django, with strong proficiency in frontend technologies, and a proven track record of working with APIs.

12 - 15 Years 1 Opening Trivandrum Role description Senior Data Architect – Big Data & Cloud Solutions Experience: 10+ Years Industry: Information Technology / Data Engineering / Cloud Computing Job Summary: We are seeking a highly experienced and visionary Data Architect to lead the design and implementation of scalable, high-performance data solutions. The ideal candidate will have deep expertise in Apache Kafka, Apache Spark, AWS Glue, PySpark, and cloud-native architectures, with a strong background in solution architecture and enterprise data strategy. Key Responsibilities: Design and implement end-to-end data architecture solutions on AWS using Glue, S3, Redshift, and other services. Architect and optimize real-time data pipelines using Apache Kafka and Spark Streaming. Lead the development of ETL/ELT workflows using PySpark and AWS Glue. Collaborate with stakeholders to define data strategies, governance, and best practices. Ensure data quality, security, and compliance across all data platforms. Provide technical leadership and mentorship to data engineers and developers. Evaluate and recommend new tools and technologies to improve data infrastructure. Translate business requirements into scalable and maintainable data solutions. Required Skills & Qualifications: 10+ years of experience in data engineering, architecture, or related roles. Strong hands-on experience with: Apache Kafka (event streaming, topic design, schema registry) Apache Spark (batch and streaming) AWS Glue, S3, Redshift, Lambda, CloudFormation/Terraform PySpark for large-scale data processing Proven experience in solution architecture and designing cloud-native data platforms. Deep understanding of data modeling, data lakes, and data warehousing concepts. Strong programming skills in Python and SQL. Experience with CI/CD pipelines and DevOps practices for data workflows. Excellent communication and stakeholder management skills. Preferred Qualifications: AWS Certified Solutions Architect or Big Data Specialty certification. Experience with data governance tools and frameworks. Familiarity with containerization (Docker, Kubernetes) and orchestration tools (Airflow, Step Functions). Exposure to machine learning pipelines and MLOps is a plus. Skills Apache,Pyspark,Aws Cloud,Kafka About UST UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world’s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients’ organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact—touching billions of lives in the process.

Job Overview: We are seeking an experienced and knowledgeable Data Science Trainer to join our team. The ideal candidate will have a strong background in data science concepts, practical implementation skills, and the ability to deliver engaging training sessions to learners of all levels. Key Responsibilities: Design and deliver comprehensive data science training programs for students and professionals. Develop course materials, including presentations, assignments, and projects. Conduct hands-on coding sessions using tools like Python, R, and relevant libraries. Guide learners through real-world data science projects and case studies. Evaluate student progress, provide constructive feedback, and support their learning journey. Stay updated with the latest industry trends, tools, and technologies in data science. Collaborate with the content development team to improve course content and learning materials. Skills & Requirements: Proficiency in Python , ML , SQL and data visualization tools such as Power BI , Tableau , etc. Strong understanding of machine learning algorithms, data analysis techniques, and data preprocessing. Hands-on experience with data science libraries like NumPy , Pandas , Scikit-learn , TensorFlow , etc. Excellent presentation, communication, and mentoring skills. Prior experience in teaching or training is highly preferred. Certification in data science or related fields will be an added advantage. Job Type: Full-time Pay: ₹15,652.43 - ₹50,473.71 per month Benefits: Health insurance Provident Fund Schedule: Day shift Monday to Friday Work Location: In person

Looking for a Machine Learning Engineer with strong JAX, TensorFlow, and NumPy experience to migrate models, ensure fidelity, automate pipelines, and benchmark performance. Fully remote freelance role with cutting-edge AI projects at Turing.

About Us: Founded in 2008, Red & White is Gujarats leading NSDC & ISO-certified institute, focused on industry-relevant education and global employability. Role Overview: Were hiring a faculty member to teach AI, Machine Learning, and Data Science. The role includes delivering lectures, guiding projects, mentoring students, and staying updated with tech trends. Key Responsibilities: Deliver high-quality lectures on AI, Machine Learning, and Data Science . Design and update course materials, assignments, and projects. Guide students on hands-on projects, real-world applications, and research work. Provide mentorship and support for student learning and career development. Stay updated with the latest trends and advancements in AI/ML and Data Science. Conduct assessments, evaluate student progress, and provide feedback. Participate in curriculum development and improvements. Skills & Tools: Core Skills: ML, Deep Learning, NLP, Computer Vision, Business Intelligence, AI Model Development, Business Analysis. Programming: Python, SQL (Must), Pandas, NumPy, Excel. ML & AI Tools: Scikit-learn (Must), XGBoost, LightGBM, TensorFlow, PyTorch (Must), Keras, Hugging Face. Data Visualization: Tableau, Power BI (Must), Matplotlib, Seaborn, Plotly. NLP & CV: Transformers, BERT, GPT, OpenCV, YOLO, Detectron2. Advanced AI: Transfer Learning, Generative AI, Business Case Studies. Education & Experience Requirements: Bachelor's/Masters/Ph.D. in Computer Science, AI, Data Science, or a related field. Minimum 1+ years of teaching or industry experience in AI/ML and Data Science. Hands-on experience with Python, SQL, TensorFlow, PyTorch, and other AI/ML tools. Practical exposure to real-world AI applications, model deployment, and business analytics. For further information, please feel free to contact 7862813693 us via email at career@rnwmultimedia.edu.in

Job Title: ICPMS & HPLC Location: Indore Madhya Pradesh Department: Quality Control / Analytical Laboratory Reports to: Lab Manager / Quality Head Experience Required: 1-5 years (or as applicable) Job Summary: We are seeking a detail-oriented and experienced Analytical Chemist with hands-on expertise in ICPMS and HPLC to join our laboratory team. The ideal candidate will be responsible for performing advanced analytical testing, maintaining compliance with ISO 17025:2017 standards, and ensuring the integrity of laboratory documentation and equipment. Key Responsibilities: 1. Instrument Operation & Maintenance: Independently operate and troubleshoot ICP-MS and HPLC instruments. Ensure regular calibration, intermediate checks, and maintenance of instruments as per SOPs. Monitor and analyse control charts, address deviations, and ensure instrument MOU is up to date. 2. Standard Preparation & Testing: Accurately prepare and validate laboratory standards and reagents. Perform qualitative and quantitative analysis of samples using approved methods. 3. Documentation & Compliance: Prepare and maintain SOPs (Standard Operating Procedures), STPs (Standard Testing Procedures), MVP (Method Validation Protocols), and MVR (Method Validation Reports). Ensure meticulous record-keeping of test results, equipment logs, and calibration reports as per ISO 17025:2017 guidelines. 4. Method Development, Validation & Verification: Conduct method validation and verification for new or modified analytical methods. Ensure compliance with regulatory and accreditation requirements during method development. 5. Quality Control & Assurance: Participate in Proficiency Testing (PT), Inter-Laboratory Comparison (ILC), and Internal Quality Control (IQC) exercises. Implement corrective actions based on performance results and audit findings. 6. ISO 17025:2017 Implementation: Demonstrate sound knowledge of ISO 17025:2017 standards and contribute to continual improvement of the Quality Management System (QMS). Support audits, non-conformance investigations, and quality reviews. Skills & Competencies: In-depth understanding of ICP-MS and HPLC instrumentation. Strong knowledge of analytical chemistry principles. Proficient in method validation and regulatory documentation. Familiar with quality control tools, statistical analysis, and control charts. Excellent organizational, analytical, and communication skills. Proficiency in laboratory software and Microsoft Office. Job Type: Full-time Pay: ₹30,000.00 - ₹40,000.00 per month Schedule: Day shift Work Location: In person

Key Responsibilities Develop the analytics strategy for our products in partnership with our Product Strategy and Product Operations team, ensuring alignment with overall business goals. Translate our analytics strategy into a roadmap, manage delivery in partnership with our Business Intelligence and Data Warehouse teams. Manage a broad set of stakeholders as leader of a shared services delivery function, including upward management and exposure to executive team and daily management of the execution teams. Create and maintain project plans, schedules, and documentation to effectively manage deliverables, including managing backlogs across Define key performance indicators (KPIs) and metrics to measure product performance and success. Analyze data to identify trends, insights, and opportunities for product improvement and innovation. Work with UX designers to develop new reports and enhance existing ones based on user feedback and data analysis. Communicate findings and recommendations to stakeholders at all levels of the organization. Stay up-to-date with industry trends and best practices in analytics and product management. Manage a team of product owners, product managers, and analysts Requirements: Bachelors degree in Business, Data Science, Computer Science, or a related field. Proven experience as a Product Manager, with strong experience in analytics or data-driven products. Experience with the US healthcare industry Strong analytical skills and proficiency in data analysis tools (e.g., SQL, Python, R). Excellent communication and presentation skills. [If India: Strong English communication skills] Ability to work collaboratively in a fast-paced, dynamic environment, including with global teams. Strong organizational and project management skills. Experience with analytics platforms and tools (e.g., Google Analytics, Tableau). Knowledge of agile development methodologies. Preferred Qualifications: Advanced degree (MBA, MS) in a related field. Advanced skills in data analysis tools (e.g., SQL, Python, R) Experience in Value Based Care Healthcare space Familiarity with machine learning and AI technologies. Why Join Reveleer? Impactful Work: Be part of a mission-driven company dedicated to improving healthcare outcomes and driving innovation. technology roadmap. excellence. growth. remote work. Leadership Opportunity: Shape the growth and culture of our India technology team and influence the global Collaboration & Culture: Work closely with a globally distributed team of passionate professionals committed to Competitive Compensation: Receive a comprehensive benefits package and opportunities for professional Flexible Work Environment: Collaborate with modern tools and practices, with flexibility to balance on-site and

Curriculum Design & Content Creation Develop structured training modules in AI/ML—covering data science fundamentals, machine learning algorithms, NLP, deep learning frameworks (TensorFlow, PyTorch)—aligned with real-world industry needs reddit.com+15futureleap.in+15skillnetlearning.com+15. Training Delivery & Facilitation Lead interactive classroom and lab sessions—online or in-person—fostering strong conceptual clarity through instruction and active learning reddit.com+10futureleap.in+10ajobthing.com+10. Hands-on Project Mentorship Guide learners in practical exercises—data pipelines, model training, evaluation—offering feedback, one-on-one coaching, and troubleshooting support. Assessment & Quality Monitoring Evaluate student progress with quizzes, assignments, and capstone projects; identify challenges, track metrics, and iteratively improve learning content skillnetlearning.com+2skillnetlearning.com+2reddit.com+2. Model Training & Data Preparation Collect, clean, and annotate data; train and fine-tune AI/LLM models (prompt engineering, reinforcement learning, etc.) to demonstrate techniques in a live classroom environment futureleap.in+5reddit.com+5ajobthing.com+5internshala.com. Stay Current with AI Trends Keep course content fresh by integrating the latest developments in AI—LLMs, MLOps, AI ethics—ensuring students get industry-relevant, cutting-edge training Job Type: Full-time Pay: ₹20,802.17 - ₹37,216.73 per month Supplemental Pay: Performance bonus Language: English (Preferred) Work Location: In person

Who We Are : Sirion is the worlds leading AI-native CLM platform, pioneering the application of generative AI to help enterprises transform the way they store, create, and manage contracts. The platforms extraction, conversational search, and AI-enhanced negotiation capabilities have revolutionized contracting across enterprise teams from legal and procurement to sales and finance. The world’s most valuable brands trust Sirion to manage 7M+ contracts worth nearly $800B and relationships with 1M+ suppliers and customers in 100+ languages. Leading analysts such as Gartner, IDC, and Spend Matters have consistently recognized Sirion as a leader in CLM for its focus on category-leading innovation. Role Title : Senior Software Engineer- Python Team : Analytics Team Location : Gurgaon Interview Process - Coding Test followed by 2 technical rounds What You’ll Do : Design and maintain automation solutions using Python and other programming languages. Promote and implement best practices in coding, design, quality, and performance. Analyse business processes and recommend automation enhancements. Collaborate effectively with cross-functional teams to ensure successful project execution. Monitor and manage the execution of BOTs, ensuring optimal performance. Fix bugs in automation scripts/product to ensure smooth operation and functionality. Assist the team in code development, whether for automation scripts or production-level applications. What You’ll Need : Expertise in Python programming. Knowledge of Java, RPA, and VBA is a plus. 3 to 5 years of industry experience. Strong proficiency in working with APIs, Rest Framework. Expertise in database management and optimization. Familiarity with machine learning (ML) & Gen AI is an advantage. Excellent communication and interpersonal skills. Strong problem-solving abilities. Willing to adapt and work with cross-functional programming languages as per project requirements. Willing to relocate to the Gurugram location Commitment to Diversity and Inclusion: We are an equal opportunity employer committed to diversity and inclusion. We do not discriminate based on race, color, gender, religion, national origin, ancestry, age, disability, medical condition, genetic information, military or veteran status,

Job Title : Data Scientist Location : [Nagercoil] Job Type : Full-time Experience : 1-3 years (Freshers with good academic background can also apply) Salary : [1.5 - 2.5] LPA About the Role We are seeking a talented and analytical Data Scientist to join our team. You will be responsible for turning raw data into actionable insights that guide strategic decisions and product improvements. Ideal candidates should have strong problem-solving skills, proficiency in data science tools, and a passion for working with data. Key Responsibilities : Analyze large volumes of structured and unstructured data to find patterns and trends Build predictive models and machine learning algorithms Work closely with business teams to identify opportunities for leveraging data Communicate findings effectively through reports, dashboards, and visualizations Perform data cleaning, validation, and preprocessing Develop A/B testing frameworks and analyze test results Collaborate with software engineers and analysts to implement data-driven solutions Required Skills : Strong knowledge of Python or R for data analysis and machine learning Experience with libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch Proficiency in SQL for data querying Hands-on experience with data visualization tools like Power BI, Tableau, or Matplotlib/Seaborn Understanding of statistics, probability, and algorithms Excellent analytical and problem-solving skills Preferred Qualifications : Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or related field Experience with big data tools like Hadoop or Spark is a plus Knowledge of cloud platforms such as AWS, Azure, or Google Cloud Job Types: Full-time, Permanent Pay: Up to ₹25,000.00 per month Schedule: Day shift Work Location: In person

We are seeking a knowledgeable and dedicated gemologist to identify, grade and appraise gems and jewels. Gemologist responsibilities include examining and analyzing gemstones, creating and maintaining gemstone grading reports, and advising on gemstone quality and value. The ideal candidate should be skilled in identifying various gemstones, including their physical and optical properties, as well as their origins. Ultimately, the role of the gemologist is to provide expert knowledge and advice on gemstones to ensure high-quality products and services for our clients. Job Types: Full-time, Permanent Pay: ₹8,086.00 - ₹25,000.00 per month Benefits: Paid time off Schedule: Day shift Education: Diploma (Preferred) Language: English, (Required) Work Location: In person Expected Start Date: 07/07/2025

GLANIS HOSPITAL is a 100 Bed, Rural, Teaching Hospital located in A. Thottiapatti in Madurai district (near Thirumangalam, Madurai). The hospital's mission is to provide low-cost, affordable healthcare to the rural population and high-quality medical education & training to healthcare professionals. GLANIS INSTITUTE OF MEDICAL SCIENCES is an educational & research affiliate of GLANIS HOSPITAL and comprises of the GLANIS INSTITUTE OF ALLIED HEALTH SCIENCES & GLANIS NURSING COLLEGE. www.glanis.org Required CLINICAL INVESTIGATOR / RESEARCH ASSOCIATE with experience / background in conducting medical / clinical research projects. Must be adept is designing research protocols & clinical epidemiology / biostatistics. Opportunities for Part-time / Full-time position or Engagement as Consultant. Salary / Compensation / Incentives commensurate with credentials / experience. Job Type: Full-time Schedule: Day shift Work Location: In person

About Oracle Customer Success Services(CSS): As a key member of Oracle Customer Success Services, you will join an international network of experts dedicated to driving customer success through innovation and expertise. Our One Oracle approach ensures you will be part of a team delivering comprehensive, end-to-end services and solutions that accelerate the entire customer journey. Work alongside certified and experienced professionals, gaining exposure to cutting-edge technologies and methodologies, and enhancing your skills and credentials. Engage with a diverse range of customers, managing the full lifecycle of delivery and services, and ensuring each project has a tangible impact. Benefit from robust team support in a collaborative environment that prioritizes teamwork and mutual success. Join us in Oracle Customer Success Services and elevate your career with a company that values innovation, expertise, and customer-centric solutions Career Level - IC4 Mandatory Skills: Should have 8+ years of experience in Oracle SQL query tuning expertise. Strong expertise in writing and understanding of Oracle SQL/PLSQL Functional knowledge of Oracle Fusion Middleware products, Weblogic & Database products. Interpreting explain plans and able to read AWRs and ASH for identifying SQL query bottle necks. Ability to interpret explain plans for access path, predicate filtering and high knowledge of joins and orders in table access. Advanced knowledge of SQLHC, parallel query knowledge. Should have rich experience in factored / scalar sub-queries and ability to utilise them in sql queries. Strong decision making, convincing skills to bring down the complex discussions to closure supported by right arguments and facts. Understanding of database initialization parameters, logs and traces. Experience working on complex software development/integration projects Experience in scripting tool like Unix shell, Python, Perl Optional hands on troubleshooting Oracle OTBI & BIP report issues and performance related techniques on components like Data models/sets, LOV, parameters , bursting, FF, scheduling. Good to Have Skills: Understanding of AI and Machine learning will be an added advantage. Oracle SQL performance diagnostic tools like SQLHC Experience in using monitoring tools like OEM. Building synthetic test cases. Responsibilities: Optimize Oracle SQL: Diagnose and resolve individual SQL performance issues (you would need to apply hints, define new indexes, investigate optimiser/environment issues) . Early Adopter of Innovation: Explore and adopt new technologies like Oracle 23ai, Autonomous DB, Auto indexing, AI related tools. Analysis and Optimize Oracle BIP Reports: Should be able to help customer to identify performance issues with Oracle BIP reports functionality and sql queries involved with them. Optional knowledge of various components of BIP reports like Data models, Parameters, LOVs, Flex Fields, Bursting. Should be able to advise customers to use right sql queries as per Oracle best practices and which aids in completing the report optimally. OTBI and BIP reports: Knowledge of troubleshooting OTBI reports for advising customers to use performance enhancing configuration parameters.

Design, develop, and deploy AI/ML models; build scalable, low-latency ML infrastructure; run experiments; optimize algorithms; collaborate with data scientists, engineers, and architects; integrate models into production to drive business value. Required Candidate profile 5–10 yrs in AI/ML, strong in model development, optimization, and deployment. Skilled in Azure, ML pipelines, data science tools, and collaboration with cross-functional teams.

About the Role - We are seeking an experienced Senior Machine Learning Engineer to design, optimize, and deploy ML models that address real-world challenges. The ideal candidate will have 5+ years of expertise in machine learning, deep learning, and data science, with hands-on experience in real-time data processing. You will be responsible for improving model performance based on feedback and deploying them in production. Strong proficiency in Python is required. Key Responsibilities: Design and optimize machine learning models. Deploy ML models in production and improve performance. Work with real-time data to solve complex problems. Continuously enhance models based on field feedback. Skills Required: 5+ years of experience in machine learning and deep learning. Strong Python programming skills. Experience with real-time data and production deployment. Location: Delhi NCR,Bangalore,Chennai,Pune,Kolkata,Ahmedabad,Mumbai,Hyderabad