6971 Machine Learning Jobs - Page 41

As a key member of the DTS team, you will primarily collaborate closely with a global leading hedge fund on data engagements. Partner with data strategy and sourcing team on data requirements to migrate scripts from Matlab to Python. Also, work on re-creation data visualizations using Tableau/PowerBI. Desired Skills and Experience Essential skills 4-6 years of experience with data analytics Skilled in Python, PySpark, and MATLAB Working knowledge of Snowflake and SQL Hands-on experience to generate dashboards using Tableau/Power BI Experience working with financial and/or alternative data products Excellent analytical and strong problem-solving skills Working knowledge of data science concepts, regression, statistics and the associated python libraries Interest in quantitative equity investing and data analysis Familiarity with version control systems such as GIT Education: B.E./B.Tech in Computer Science or related field Key Responsibilities Re-write and enhance the existing analytics process and code from Matlab to Python Build a GUI to allow users to provide parameters for generating these reports Store the data in Snowflake tables and write queries using PySpark to extract, manipulate, and upload data as needed Re-create the existing dashboards in Tableau and Power BI Collaborate with the firms research and IT team to ensure data quality and security Engage with technical and non-technical clients as SME on data asset offerings Key Metrics Python, SQL, MATLAB, Snowflake, Pandas/PySpark Tableau, PowerBI, Data Science Behavioral Competencies Good communication (verbal and written) Experience in managing client stakeholders

As a key member of the DTS team, you will primarily collaborate closely with a global leading hedge fund on data engagements. Partner with data strategy and sourcing team on data requirements to design data pipelines and delivery structures. Desired Skills and Experience Essential skills B.Tech/ M.Tech/ MCA with 2-4 years of overall experience. Skilled in Python and SQL. Experience with data modeling, data warehousing, and building data pipelines. Experience working with FTP, API, S3 and other distribution channels to source data. Experience working with financial and/or alternative data products. Experience working with cloud native tools for data processing and distribution. Experience with Snowflake and Airflow. Key Responsibilities Engage with vendors and technical teams to systematically ingest, evaluate, and create valuable data assets. Collaborate with core engineering team to create central capabilities to process, manage and distribute data assts at scale. Apply robust data quality rules to systemically qualify data deliveries and guarantee the integrity of financial datasets. Engage with technical and non-technical clients as SME on data asset offerings. Key Metrics Python, SQL. Snowflake Data Engineering and pipelines Behavioral Competencies Good communication (verbal and written) Experience in managing client stakeholders

Attend to Technical Calls inbound from customers on breakdown of system on site. Troubleshooting system issues/error/alert & alarm with sound understanding for maintenance of system/IP with logical and technical skills relevant to Lab Water Solution Product portfolio and significant water filtration knowledge. Inform inhouse for urgent clinical customer support in-site where priority dwells on critical scenario (as hospitals and GSA). Handle Work Order processed by Partners in Field (Field Service Engineers) on relevant fields necessary before closing the WO as valid for billing and unbilled covered task carried out in site. Push Billable Repair Quotes for scheduled Repair on system as they possess potential of an order. Chase Billable Work Order for payment to close before billing cycle. Renewal follow-up of Service contract as they provide ease of repair when maintained periodically by inhouse wrt subscriptions. With the above scope of responsibility, managing workflow of transactional activity. Creating effective communication on process during BCP and internal resource availability. Completing task within SLA agreed timeline and quality metrics and service objectives. Creating critical review on non GXP activities. Implementing changes aligned to change management and strategic requirements. Who You are: years of experience Strong Communication, technical knowledge on instrumentation and equipment, call handing, customer handling, troubleshooting of instrumentation. Preferred Requirements: Power BI, basic AI, teamwork. Problem solving. Stakeholder management.

Building models using best inclass ML technology. Training/fine tuning modelswith new/modified training dataset. Selecting features, buildingand optimizing classifiers using machine learning techniques Data mining usingstate-of-the-art methods Processing, cleansing, andverifying the integrity of data used for analysis Enhancing data collectionprocedures to include information that is relevant for building analyticsystems Technical skills Mandatory 3 to 8 years of experience as MachineLearning Researcher or Data Scientist Graduate in Engineering,Technology along with good business skills Good applied statistics skills,such as distributions, statistical testing, regression, etc. Excellent understanding ofmachine learning techniques and algorithms including knowledge about LLM Experience with NLP. Good scripting and programmingskills in Python Basic understanding of NoSQLdatabases, such as MongoDB, Cassandra Nice to have Exposure to financial researchdomain Experience with JIRA,Confluence Understanding of scrum andAgile methodologies Experience with datavisualization tools, such as Grafana, GGplot, etc. Soft skills Oral and written communicationskills Good problem solving andnegotiation skills Passion, curiosity andattention to detail

Were looking for a passionate AI/ML Engineer with 02 years of experience whos eager to dive deep into document processing, computer vision, and real-world AI problems. This role is ideal for someone who wants to grow with a startup and experience the complete journey of building and scaling intelligent systems. Key Responsibilities Assist in selecting, adapting, and implementing AI models for document parsing, table detection, layout analysis, and OCR enhancement. Fine-tune and optimize models such as Detectron2, LayoutLM, Donut, YOLO , or similar vision transformers. Apply model compression techniques like quantization , pruning , and ONNX for faster deployment. Contribute to integrating AI pipelines into production-grade backend systems. Collaborate with product and engineering teams to continuously improve output quality. Explore recent research in document intelligence and suggest innovations. Required Skills Proficiency in Python and libraries such as PyTorch or TensorFlow. Understanding of AI model training and evaluation workflows. Hands-on with at least one of: object detection models (YOLO, Detectron2), layout models (LayoutLM, Donut), or image preprocessing. Strong analytical skills and a hunger to learn. Preferred Qualities Prior internship or personal projects in Computer Vision or Document AI. Familiarity with OCR tools like Tesseract, EasyOCR, or Azure/GCP Vision APIs. Exposure to model deployment (ONNX/TensorRT, Docker, API development). Preference will be given to candidates who are enthusiastic about working in a startup and want to experience the journey of building and scaling AI products from the ground up. Why Join Us? Be part of a fast-growing AI startup solving meaningful real-world problems. Work directly with founders, senior engineers, and real customers. Fast-paced learning environment with end-to-end ownership. Flexible work hours and open culture.

Voyager (94001), India, Bangalore, Karnataka Principal Associate, Office Operations At Capital One, we think big and do bigger things. We were the first company to develop and offer mass customization of credit card, auto loans and other financial services products, and we have been innovating relentlessly ever since. Today, we are a progressive financial services powerhouse spanning Credit Cards, Auto Loans, Savings, and Commercial Banking and at the same time a high-tech company, a scientific laboratory, and a well-recognized brand all in one. We are a passionate and entrepreneurial team with heart – a team that embraces bold ideas, fosters collaboration, and delivers world-class products and services impacting over 100 million customer accounts. Still founder-led by Chairman and CEO Richard Fairbank, we dare to dream, disrupt and deliver a better way for our customers, the financial industry and for each other. Our goal is simple – bring ingenuity, simplicity and humanity to an industry ripe for change. At DataLabs, Capital One India, we solve fundamental business problems at scale using advanced machine learning and cutting edge engineering, backed by exceptional product management and design. We specialize in deriving valuable insights about various aspects of the business - including product and process design, consumer behavior, regulatory and credit risk, and much more - from large volumes of data to build cutting edge patentable products at an industrial scale. DataLabs is looking for an experienced Office Operations Specialist . This is a great opportunity for a detail-oriented, innovative, and experienced candidate to drive strategic themes that are key to the well being of the organization and its growth. The people of DataLabs are committed to Capital One’s corporate culture of “excellence” and “doing the right thing”. Our work environment is fast paced, collaborative, and fosters problem solving and innovation. The ideal candidate for this role should fit well with these organizational attributes. S/he should have exceptional personal integrity and communication skills, and be able to win the trust and respect of associates by communicating openly and consistently meeting commitments. DataLabs prides itself on its exceptionally vibrant culture. Our Associate Development program enables us to shape amazing career and professional development opportunities for our associates. Our best-in-class Corporate Social Responsibility program has nurtured longstanding partnerships with committed organizations that make a meaningful difference to the communities around us. The enthusiastic volunteerism of our associates is the backbone of all that we do - it enables us to push the envelope of possibilities and have incredible fun along the way. We bend backwards to take care of one another through thick and thin. Our work and the people we are surrounded by are an enduring source of strength and fulfillment in our lives. Specific responsibilities include, but are not limited to: Facilitate the operating rhythm for the organization by leading a team to deliver regular business reviews, staff meetings, town halls, and communications Develop routines and materials to increase leadership effectiveness; including identifying ways to improve, simplify or streamline processes Coordinate across leadership and teams to design the agenda and ensure readiness of materials to be used in larger leadership forums Support and manage recognition programs Manage the Learning and Development program working closely with Human Resources teams and people leaders across various departments in the organization Align organization around team “norms” to promote, monitor and ensure collective team culture Partner with Communications to design and deliver on effective internal and external communication strategy Empower Administrative Assistants to feel engaged, included, and developed. Ensure that they have the relevant resources or know where to find them to be successful Create a system to develop Administrative Assistant talent via involvement with related projects Deliver ad-hoc requests to support the needs of business priorities Create action plans and path forward for business-wide projects, including tracking and reporting out on status Provide tactical thought partnership to drive project delivery based on defined priorities scope of deliverables, timelines and budget; ensure alignment; identify dependencies, risks and issues and mitigate and / or escalate as needed Capital One DataLabs is growing rapidly. Many exciting opportunities are additionally available for the right candidate depending on experience and performance during the interview process and on the job. These opportunities include program management for senior leadership, strategic staff initiatives, support for our corporate social responsibility and other volunteer programs, recruiting and branding activities, and much more. What are we looking for? Strong communication skills: Impeccable written and verbal communications, coupled with influencing skills and the ability to drive agreement through intellect, interpersonal and negotiation skills. Discretion in handling highly sensitive issues. Teamwork: Excellent interpersonal skills and the ability to interact with individuals at all levels of the organization. Clear results orientation: Resourcefulness with strong problem-solving skills. Display an intense focus on achieving both short and long term goals. Proactivity in taking initiative and driving processes independently. Growth mindset, proven experience with test & learn methods - Strong project management and organizational skills. Intellectually curious - asks questions & challenge conventional thinking. Courage and creativity to create bold solutions. Successful track record of thriving in a fast paced, entrepreneurial, and dynamic environment. Exhibited track record of quickly putting structure in place to manage work and achieve results Others: Excellent time management skills and understanding of the urgency of matters related to the task. Strong judgment and emotional intelligence are essential for this position Preferred Qualifications & Experience Degree/Post Graduate. Level of experience: 10+ years, but not a constraint for the right candidate At least 2 years of experience in Process Management, Project Management or equivalent Preferred Qualification Team leadership (direct or indirect teams) Proficiency in Google suite At this time, Capital One will not sponsor a new applicant for employment authorization for this position. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at [email protected] . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to [email protected] Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Dear candidate, We found your profile suitable for our current opening, please go through the below JD for better understanding of the role, Job Description : Role : Data Scientist / Senior Data scientist/ Lead Data scientist Exp : 6 - 12years Mode of work : Hybrid Model Work Location : Hyderabad/Bangalore/Noida/Pune/Kolkata Role Overview: We are seeking a highly skilled Generative AI Engineer with a strong foundation in data science and a passion for building cutting-edge AI solutions. The ideal candidate will have 6 - 10years of overall experience, including at least 2-3 years of hands-on work in Generative AI and Large Language Models (LLMs). You will play a key role in developing and deploying advanced AI models to drive innovation and impact across our platform. Responsibilities: Design and develop advanced generative models/large language models Collaborate with other teams to integrate AI solutions into our marketing platform Manage the project life cycle from research and development to deployment and optimization. Stay updated on and contribute to the latest advancements in AI research, applying new findings to ongoing projects. Ensure ethical AI development practices, prioritizing fairness, transparency, and privacy. Qualifications and Education: 2-3 years experience in GenAI and LLM with overall 6- 12 years of experience building advanced analytics products. Strong proficiency in Python and AI frameworks. Experience in conceptualizing, developing, and leading large-scale, end-to-end projects in Generative AI, MLOps, and LLMOps Working knowledge of generative models (GANs, VAEs) and NLP. Solid understanding of machine learning algorithms and data pre-processing techniques. Knowledge of cloud computing and AI deployment (Google Cloud preferred) Excellent problem-solving, analytical, and creative thinking skills Bachelors degree in computer science or engineering discipline Experience with MySQL and/or PostgreSQL databases. Strong inter-personal communication and collaboration skills. The candidate must be able to work independently & must possess strong communication skills. A good team player, high level of personal commitment & 'can do' attitude. Demonstrable ownership, commitment and willingness to learn new technologies and frameworks Please check below link for organisation details, https://www.tavant.com/ If interested , please drop your resume to dasari.gowri@tavant.com Regards Dasari Krishna Gowri Associate Manager - HR www.tavant.com

We are looking for a Senior AI/ML Engineer to join our team and help design, build, and deploy the product. About Us Zonka Feedback is a fast-growing, bootstrapped SaaS company building an AI-first platform that combines machine learning, GenAI, and large-scale analytics. We are working on cutting-edge applications of AI including LLMs , NLP , unsupervised clustering , vector databases , and retrieval-augmented generation (RAG) systems . Key Responsibilities Design and build scalable NLP pipelines , unsupervised clustering models , and semantic search solutions . Develop vectorization pipelines and implement RAG (Retrieval-Augmented Generation) architectures for efficient information retrieval. Fine-tune large language models (LLMs) and craft effective prompt engineering strategies for real-world performance. Evaluate and optimize AI/ML models using tools like LangChain , Evals , Hugging Face , and custom evaluation frameworks. Work closely with backend and product engineering teams to integrate AI capabilities into production systems. Continuously research and implement advancements in AI, ML, and LLMs to keep the product innovative and competitive. Requirements 3 to 6 years of hands-on experience in Machine Learning and NLP . Solid experience in unsupervised learning techniques (clustering, dimensionality reduction, topic modeling, etc.). Strong understanding and experience in vector databases (e.g., FAISS, Pinecone, ChromaDB) and RAG system design . Experience with LLM fine-tuning , prompt engineering , and deployment of AI systems in production. Proficiency in Python and relevant ML/AI libraries such as TensorFlow, PyTorch, Hugging Face, LangChain, and OpenAI APIs. Strong analytical and problem-solving skills with an ability to work in a fast-paced environment. Prior experience building end-to-end AI features that are used in real products is a strong plus. If this sounds like you, we are here to have the next talk. Share your resume on hr@zonkafeedback.com

Please find below Job Description for your reference. Details on tech stack 3+ years of professional software development experience with strong proficiency in Python . Hands-on experience building applications that interact with or utilize Generative AI models (e.g., Large Language Models - LLMs). Familiarity with key Generative AI concepts like prompt engineering, Retrieval-Augmented Generation (RAG). Experience with relevant Python libraries and frameworks for application development (e.g., Flask, FastAPI, Streamlit, LangChain, Hugging Face Transformers). Solid understanding of software engineering principles, including API design, data structures, and algorithms. Experience with version control systems (e.g., Git). Ability to work effectively in a collaborative team environment. ABOUT COMPANY: Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, and advanced analytics services. Fusing technical vision with business acumen, we enable positive business outcomes for enterprise companies undergoing business transformation by solving their most pressing technical challenges. A key differentiator for Grid Dynamics is our 7+ years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization, and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India. Follow us on LinkedIn.

Responsibilities Implement Generative AI based solutions using Infosys and Industry standard tools and platforms Implement prompt engineering techniques to evaluate model behavior under various input conditions and refining prompts for better accuracy and desired results. Perform AI assurance to test AI infused applications Work closely with cross-functional teams to ensure prompts align with company objectives and user experience. Identify and report bugs, performance bottlenecks, and safety issues. Stay up-to-date with the latest advancements in Generative AI and testing methodologies. Identify and report bugs, performance bottlenecks, and safety issues. Technical and Professional Requirements: Hands-on experience in Python LangChain programming Experience in using Traditional AI/ML Models in SDLC Experience in leveraging Azure AI Services in projects Experience in Generative AI Concepts such as Advanced Prompt Engg, RAG, leveraging LLMs etc. Excellent communication skills & Analytical skills Knowledge about Agentic AI Frameworks, Commercial GenAI Platforms/Tools (Optional) Open AI , models knowledge is important Preferred Skills: Technology->Machine Learning->Generative AI Technology->Machine Learning->AI/ML Solution Architecture and Design->generative ai Educational Requirements Bachelor of Engineering Service Line Infosys Quality Engineering

Job Description: We are seeking a highly skilled and motivated Data Scientist with strong expertise in DS Concepts & GenAI. You will play a key role in lead and manage the projects for developing AI-powered applications, tools, and workflows that solve real-world business problems. Responsibilities: Data Science & Analytics Contribute to the development of machine learning models, statistical analyses, and AI solutions. Review and validate models for accuracy, scalability, and business relevance. Ensure best practices in data preprocessing, feature engineering, and model evaluation. Stay updated with the latest advancements in data science, ML, and AI technologies. GenAI & Agentic AI (Good to have) Good knowledge of LLMs (Large Language Models), RAG (Retrieval-Augmented Generation), GenAI models and Agentic AI frameworks Implement Agentic AI systems that can autonomously perform tasks, reason, and adapt Lead projects involving text generation, chatbots, synthetic data creation, and AI-driven works Project & Team Management: Manage data science projects, ensuring timely delivery and alignment with business goals. Coordinate between data scientists, engineers, and business stakeholders to define project requirements. Track project progress, identify risks, and propose mitigation strategies. Support the hiring, onboarding, and mentoring of junior data scientists. Tools & Technologies: Evaluate and recommend data science tools, platforms, and libraries. Assist in managing cloud-based ML environments (AWS, Azure, GCP) or on-prem solutions. Support MLOps processes for model deployment and monitoring. Skills: Strong working experience in Python/R, SQL, Data Science libraries (Pandas, NumPy, Scikit-learn, etc), ML frameworks (TensorFlow, PyTorch, etc) Familiar with big data tools (Spark, Hadoop) and cloud platforms (AWS/Azure/GCP). Knowledge of MLOps, CI/CD pipelines, and model deployment. Proficiency in data visualization (PowerBI/Tableau, Matplotlib/Seaborn). Excellent Communication, Leadership, and Problem-solving skills. Bachelors/Master’s degree in Statistics, Mathematics, Economics, Data Science, Computer Science or related fields. Hands-on Data Science project experience is a must and Data Science/AI Certifications will be a huge plus. We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, colour, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.

The Associate Data Scientist will be responsible for analyzing large amounts of data and generating insights that will inform business decisions. This role will work closely with cross-functional teams to develop predictive models, analyze data, and create visualizations to communicate findings. The ideal candidate will be highly analytical, detail-oriented, and have a solid understanding of statistical methods. Major Responsibilites Work with cross-functional teams to identify and answer key business questions through data analysis and modeling Develop and implement predictive models using statistical and machine learning techniques Analyze data using tools such as Python, R, or SQL to identify trends and patterns Create data visualizations and reports to communicate findings to stakeholders Continuously monitor and refine models to ensure accuracy and effectiveness Collaborate with other data scientists and analysts to share knowledge and best practices Skills Algorithms Applied Mathematics Computer Science Python (Programming Language) Machine Learning Natural Language Processing (NLP) SciPy SQL Programming Language) Statistics Data Science Abilities Analytical and problem-solving skills ability Experience in statistical analysis and machine learning techniques Ability to work with large and complex data sets Knowledge of programming languages such as Python or R Understanding of database concepts and data management Ability to work independently and as part of a team Good communication and interpersonal skills Education & Experience Bachelor’s degree in Computer Science, Statistics, Mathematics, or related field 1+ years of experience in data analysis or related field Lightcast is a global leader in labor market insights with headquarters in Moscow (ID) and Boston (MA) and offices in the United Kingdom, Europe, and India. We work with partners across six continents to help drive economic prosperity and mobility by providing the insights needed to build and develop our people, our institutions and companies, and our communities. Lightcast is proud to be an equal opportunity workplace and is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Lightcast has always been, and always will be, committed to diversity, equity and inclusion. We seek dynamic professionals from all backgrounds to join our teams, and we encourage our employees to bring their authentic, original, and best selves to work.

We are looking for a QA Automation Engineer with 25 years of hands-on experience in building scalable web applications using Selenium and AWS . Youll work across the stack from developing to designing secure APIs and integrating with databases like MongoDB, PostgreSQL, and ArangoDB. Experience with AWS is highly desirable. Exposure to AI/ML is a plus and will open opportunities to work on GenAI-based features.

Position Title Head (AI/ML) Reporting to CTO and Founder, Advisory Board. Job locations - Gurugram Role Description This is a full-time on-site role for a Head (AI/ML) in Gurugram. The Head will be responsible for leading the AI/ML strategy and implementation, overseeing software development, managing IT projects, defining IT strategies and architectures, and driving product development initiatives. The candidates should be at least 10 years experience with 3-5 year in the field of AI/ML. Exposure to healthcare will be added advantage. Qualifications Software Development skills Project Management skills IT Strategy and Architecture expertise Product Development experience Strong background in AI/ML technologies Excellent leadership and communication skills Ability to collaborate with cross-functional teams Experience in the healthcare IT industry is a plus Master's degree in Computer Science or related field Education qualification Master in Computer Science or equivalent Experience range 10 years with 3 4 year in AI/ML Mandatory skills, domain etc Please submit your resume along with a cover letter highlighting your relevant experience and skills & other details like Current CTC (fixed plus variable) Offer in hand (fixed plus variable) Expected CTC Notice period Current Location Open to work from office at Gurgaon Experience in Healthcare domain( good to have) Hands on experience and self rating in the scale of 10 , 10 being the maximum 1. GenAI 2. Predictive AI 3. LLM 4. DL 5. NLP 6. Computer vision/ Assuring you of the best assistance in search of the right career opportunity Thanks & Regards, Surender Intelli Search Services Pvt Ltd, Email: sp@intellisearchonline.net Mobile: 9590270707

Hi All, We are hiring an Machine Learning Engineer for MNC Company AI/ML Engineer Experience- 9- 14 Years Location- Bangalore/Hyderabad/Mumbai/Kolkata Work Mode- Hybrid Mode Interview Mode- Virtual Notice Period- Immediate Joiner Job Description: - Skills- ML Engineer (Advanced AI/ML + Python)- C2/D1 This role leverages machine learning & advanced AI services to generate business insights • 8+ Years of relevant experience in Machine learning & Deep learning (GenAI-optional) experience • Experience in deploying NLP, CV & Deep learning algorithms • Experience in leading teams and managing the end-to-end deliverables. Exposure to MLOps implementations • Leadership abilities to guide and mentor junior team members. • Design and implement scalable and reliable ML pipelines for model training, evaluation and deployment • Advanced degree in Data Science, Statistics, Computer Science, or a related field. • Proficiency in Python, Git, Github,Pyspark, Pytorch, , SQL and strong expertise of AI/ML algorithms is essential with knowledge of AWS cloud ML services. • Strong analytical skills & communication skills. Ability to interpret complex data sets. Responsibilities- Lead the development and implementation of predictive models and machine learning algorithms. • Design and implement scalable and reliable ML pipelines for model training, evaluation and deployment • Collaborate with CMA CGM cross-functional teams to understand business needs and devise possible solutions. • Present and visualize data insights to stakeholders in a comprehensible manner. If Anyone intertested for this position plesase share your Resume on this Mail id- Priya.singhal@thehrsolutions.in Regards & Thanks Priya Singhal

vConstruct , a Pune based Construction Technology company seeks a Project Manager for their AI/ML team which is a tight-knit group of Data Scientists and AI Engineers along with Data Analysists and Data Engineers that support all data aspects of DPR business. This team drives up with passion of Transforming this Construction Industry by the use of cutting edge technology enabled with strong AI/ ML Solutions. Here, each and every data point starting from Pre-Construction to Post-Construction process are touch-based to leverage this data for getting predictable outcomes and automating processes for better efficiency. This team helps on various domains of construction such as Scheduling, Planning, Supply Chain, Safety, Quality Control, Site Management, Financials, & Virtual Design Construction in every phase of projects. Gain the opportunity for working over Computer Vision, Predictive, Gen AI & LLM related use cases with variety of tech stack included for implementation. Majorly, MS Azure AI Services, Open AI, CV Libraries and ML for predictive outcomes with Stats as base. Glimpse of Projects: - Creation of GPT for Construction Industry on Construction Data (Unstructured & Structured Data). - Use Computer Vision to help Object Detection on 2D Drawings and 3D BIM Models - Detailed use of Stats frameworks for Predicting Losses on Construction Site Data or to predict win/ loss of opportunities with clients. Predict Quantities required for similar type of sites etc. - Automation AI has deep integration with other groups of Construction Operations to automate our current work processes and make them more efficient using pre-built Models, Azure ML Services or other ML Techniques. Be a part of this vision of Transforming Construction Industry by Use of Technology and play vital role with talented team within vConstruct. If you're interested in contributing to construction technology within the AI/ML space, gaining exposure to the latest technologies, and working directly with end customers, please apply via the link. Key Responsibilities: Project Planning & Execution Define and manage AI/ML project scope, timelines, deliverables, and risk profiles. Build detailed project roadmaps with clear milestones and sprint plans. Oversee the complete AI lifecycle from use-case discovery to model deployment. Cross-Functional Collaboration Act as the strategic link between data scientists, ML engineers, ML Ops, domain SMEs, and Initiative Leads. Facilitate agile ceremonies including sprint planning, retrospectives, and stakeholder reviews using GitHub or Azure DevOps. Risk & Dependency Management Anticipate and mitigate risks around data readiness, infrastructure, and cross-team dependencies. Manage change control, escalations, and course corrections proactively. Governance & Documentation Maintain complete project documentation including use case briefs, dashboards, decision logs, and ROI reports. Ensure compliance with internal standards, policies, and AI governance frameworks. Qualification: Bachelors or Masters in engineering, Data Science, Computer Science, or related field. Certifications in PMP, PMI-ACP, or Agile/Scrum methodologies. Relevant PM Degrees in case any. Familiarity with cloud-based AI platforms (Azure ML, AWS Sagemaker, etc.) 8-10 years of professional experience with atleast 4 years of experience in data science, machine learning, and analytics, with a proven track record of delivering impactful data-driven solutions. Experience working in dynamic, fast-paced environments, with the ability to manage multiple projects simultaneously as well as should be able to do production or work on project personally as required. Proven Experience, Strong business acumen and ability to translate technical insights into actionable business strategies & communicate to stakeholders in business language. Experience working with construction-related data or similar industries (e.g., engineering, manufacturing) is a plus. Technical Skills: Understanding of Python & SQL will be good to have. Proficiency in ML, AI & Statistics frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn). Hands-on experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib). Familiarity with cloud platforms (AWS, Azure preferably), knowledge about Azure ML Services & Snowflake would be plus one Good to have knowledge of NLP(Natural Language Processing) and Computer Vision. About vConstruct : vConstruct specializes in providing high quality Building Information Modeling and Construction Technology services geared towards construction projects. vConstruct is a wholly owned subsidiary of DPR Construction. VConstruct has 100+ team members working on Software Development, Data Analytics, Data Engineering and AI/ML. We have matured Data Science practice and growing at accelerated pace. For more information, please visit www.vconstruct.com About DPR Construction: DPR Construction is a national commercial general contractor and construction manager specializing in technically challenging and sustainable projects for the advanced technology, biopharmaceutical, corporate office, and higher education and healthcare markets. With the purpose of building great things, great teams, great buildings, great relationshipsDPR is a truly great company. For more information, please visit www.dpr.com

As an Applied AI Engineer, you will work at the intersection of AI research and practical implementation. You will develop machine learning (ML) and deep learning (DL) models, integrate them into our SaaS platform, and optimize them for scalability, performance, and business impact. Key Responsibilities: Data Engineering & Feature Engineering: Work with structured and unstructured data to build high-quality datasets. Develop robust feature engineering pipelines to improve model accuracy. Implement data preprocessing and augmentation techniques. MLOps & AI Infrastructure: Build and maintain ML pipelines for continuous integration and deployment (CI/CD). Implement model monitoring, retraining, and performance tracking frameworks. Work with cloud platforms (AWS, GCP, Azure) for AI model deployment and scaling. AI Integration in SaaS Applications: Collaborate with software engineers to integrate AI models into customer-facing SaaS products. Develop APIs and microservices for seamless AI-powered functionalities. Optimize inference performance for real-time and batch processing scenarios. Collaboration & Research: Stay updated with the latest AI research and bring innovative solutions to production. Work closely with product managers, designers, and engineers to align AI capabilities with business goals. Participate in code reviews, knowledge sharing, and AI/ML best practices. Prompt Engineering: Design, develop, and refine AI-generated text prompts for various applications to ensure accuracy, engagement, and relevance Craft and optimize prompts that guide our AI systems to generate accurate, informative, and creative outputs Build accessible libraries of prompts, keywords, and syntax guidelines for optimal query results Develop robust evaluation frameworks to assess AI model performance and prompt effectiveness Test and analyze outputs by experimenting with different prompts and measuring against defined metrics Create dashboards and reporting tools to track AI performance across multiple dimensions Apply human judgment to identify gaps in AI-generated output and refine prompts accordingly Implement continuous improvement processes based on evaluation insights What Were Looking For: Experience: 5-6 years in AI/ML engineering, with hands-on experience in Generative AI, NLP and deploying AI solutions at scale. Technical Expertise: Strong background in machine learning, deep learning, and NLP. Proficiency in Python Help assess performance metrics, develop novel agent frameworks, create and oversee data workflows, and conduct extensive testing to deploy innovative capabilities. Ship with high intent and work with the team to improve your ability to iterate and ship AI-powered features over time. Experience with data processing tools (Pandas, NumPy, Spark, Dask). Familiarity with MLOps, CI/CD, and cloud platforms (AWS SageMaker, GCP Vertex AI, Azure ML). AI Deployment & Optimization: Experience with optimizing models for performance, interpretability, and real-time applications. Strong Problem-Solving Skills: Ability to translate business problems into AI-driven solutions. SaaS Experience (Preferred): Understanding of how AI enhances SaaS applications and workflows.

Educational Qualification: Education: Masters or PhD in Computer Science, Machine Learning, AI, Engineering, or a related technical field. Work Experience : Experience: 4-6 years of experience in machine learning based data product research and development in addition to relevant educational background in the field of Computer Science, Engineering, Machine Learning etc. Role Description : We are seeking an AI Scientist to join our analytics team. This role focuses on the development of innovative machine learning and deep learning models that unlock the full potential of Pixxels hyperspectral data. You will work on impactful, data-driven projects aimed at solving complex challenges using state-of-the-art technology and methodologies. As a key contributor to Pixxels analytics vision, you will: Leverage state-of-the-art AI techniques to address complex challenges in imaging analytics, data fusion, and large-scale data processing. Develop multimodal AI models that integrate hyperspectral data with other sensor modalities like radar, LiDAR, and weather datasets, enabling actionable insights for clients across diverse industries. Work closely with cross-functional teams, translating business and scientific objectives into AI-powered solutions that are scalable, efficient, and impactful. Responsibilities & Duties : AI Model Development: Design and implement advanced AI/ML models for classification, prediction, segmentation, and anomaly detection using Pixxels hyperspectral data and multimodal datasets. Multimodal Data Fusion: Integrate diverse data sources, such as hyperspectral, radar, LiDAR, and ancillary datasets, to enhance feature extraction, accuracy, and scalability. Algorithm Optimization: Develop computationally efficient algorithms that can handle large-scale, high-dimensional datasets and deploy them in production environments. R&D Leadership: Research and implement state-of-the-art techniques, including Transformer models, GANs, self-supervised learning, and other emerging techniques, to stay ahead in AI innovation. Cross-Functional Collaboration: Work with domain experts (e.g., hyperspectral scientists, environmental specialists) to understand the data and define project objectives, translating business problems into robust AI models. Communication & Presentation: Clearly explain complex AI concepts, model outputs, and research findings to technical and non-technical stakeholders. Skills and Experience Required: Technical Expertise: Proficiency in advanced machine learning and deep learning architectures (e.g., CNNs, RNNs, Transformers, GANs, LSTMs). Strong background in Python and frameworks such as PyTorch, TensorFlow, or PyTorch Lightning. Experience in developing AI models for complex datasets. Experience with imaging data (e.g., hyperspectral, medical, drone, or satellite imagery), is not required, but would be beneficial. Solid understanding of key principles in multimodal data fusion, computer vision, and large-scale data processing. Communication & Collaboration: Strong communication skills to present findings, teach concepts, and collaborate effectively with non-AI experts. Ability to work cross-functionally with data scientists, engineers, and domain specialists . R&D Mindset: Proven experience in implementing cutting-edge research techniques and staying up-to-date with advancements in AI. Candidate Acumen : As an AI Scientist, I bring expertise in developing advanced machine learning and deep learning models to extract insights from hyperspectral data, leveraging state-of-the-art methodologies to tackle complex, data-driven challenges. Benefits: Comprehensive insurance coverage for you and your family. Free access to mental health professionals and paid sick leave. Benefits like vaccination drives and more. Flexible working hours. Opportunity to work with top scientists and professionals in space technology.

Product Managers at SpotDraft strive to build a highly reliable, fast, secure, and scalable platform. The product team conceptualizes strategy and features that would evangelize it and provides a roadmap for creating thorough, user-centric solutions. The team comprises visionaries, risk-takers, and go-getters who are adept at analyzing fast and analyzing right, identifying and keeping all the variables in consideration. Key Responsibilities: Working closely with the Backend Engineering & Front-end Engineering, Legal Tech, Design, and Customer Success teams to deliver world-class customer-obsessed products and features Be the voice of the customer. Develop a deep understanding of our customers and build the best product user experiences on their behalf. Get onto meetings with the customers to understand their needs and solve their pain points Create knowledge base and training videos to help customers get more value from SpotDraft Set up nudges and tooltips to train and drive product-led adoption Create detailed product requirement documents and user stories with an ability to imagine the user journeys - happy paths, unhappy paths, and edge cases Empathize with dozens of personas and use cases, and think user-first. Have a data-oriented approach and an eye for numbers, insights, and metrics. Ability to think creatively, deal with ambiguity, and manage fast-paced environments and changing priorities. And most essentially, a founder's mindset: is to own initiatives & deliver results. Requirements: 3-5 years of relevant product management experience in a product company Has shipped high impact products consistently, ideally for a SaaS product High energy and high ownership individual with a keen interest in building 0 to 1 systems that have large-scale real-world impact Good understanding of UX Design practices in the SaaS space Ability to think granularly and are hungry to learn and evolve in all things. Bias for action and experience making things happen in a fast-paced, dynamic environment. Strong written and verbal communication skills with a knack for articulating customer challenges clearly. Analyze and synthesize data, including writing SQL Proficient with data analytics tools like Google Analytics, Amplitude, Metabase etc., or the equivalents Working at SpotDraft When you join SpotDraft, you will be joining an ambitious team that is passionate about creating a globally recognized legal tech company. We set each other up for success and encourage everyone in the team to play an active role in building the company. An opportunity to work alongside one of the most talent-dense teams. An opportunity to build your professional network through interacting with influential and highly sought-after founders, investors, venture capitalists and market leaders. Hands-on impact and space for complete ownership of end-to-end processes. We are an outcome-driven organisation and trust each other to drive outcomes whilst being audacious with our goals. Our Core Values Our business is to delight Customers Be Transparent. Be Direct Be Audacious Outcomes over everything else Be 1% better every day Elevate each other Be passionate. Take Ownership

Educational Qualification: Bachelor's degree in Computer Science, Software Engineering, or a related field. Work Experience : 2-4 years of industry experience in building solid software product s. Role Description : As a Senior AI Engineer at Pixxel, you will be instrumental in planning, designing, developing and maintaining cutting edge solutions for AI products leveraging both foundation models and specialized deep learning architectures. Your role will focus on building innovative AI solutions that combine the power of large multimodal models, and AI engineering to extract meaningful insights from satellite imagery. Responsibilities & Duties : Design and develop AI products and features using foundation models (LLMs, vision models) to analyze and interpret satellite imagery data. Write clean, maintainable, and efficient code while following best practices for software development. Prompt Engineering. Planning and delivery of a project with the help of senior folks in the team. Participate in code reviews, providing constructive feedback to team members and ensuring code quality. Document technical specifications, processes, and procedures related to the projects. Contribute to the continuous improvement of development processes, tools, and methodologies. Desirable Skills & Certifications: Bachelors degree in Computer Science or related field. 2+ years of experience in python and AI product development. Strong programming skills in Python and related ML frameworks. Can write scalable python code. Proficient with AsycIO and multiprocessing in python. Design patterns in python. Relational database. REST APIs. Experience with Pytorch or Tensor flow. Basic understanding of Docker and Kubernetes. Prompt engineering. At least 1 years of experience in managing a project/ownership and delivery of a project. (medium complexity). Strong expertise in foundation models applications including Tool calling, RAG(Retrieval-Augmented generation) and Agents architecture. Proven track record of building and deploying AI applications. Experience with large-scale model training and optimization. Familiarity with MLOps and model deployment pipelines. Candidate Acumen : A strong desire to work in an unstructured, high-growth, fast-paced start-up environment Benefits: Health insurance coverage Unlimited leaves & flexible working hours Role-based remote work and work-from-home benefit Relocation assistance

Model brands apparel in fashion shows, runway events, and promotional activities. Pose for photoshoots featured in advertising campaigns, catalogs, and on social media. Follow the creative direction of photographers, designers, and event organizers to achieve the desired look and feel. Maintain a professional and polished appearance at all times, ensuring the brand's standards are met. Collaborate with makeup artists, hairstylists, and fashion stylists to ensure a cohesive and appealing presentation. Represent (Cant share the brand now) in a positive and engaging manner to enhance brand image and customer engagement. Attend fittings, rehearsals, and promotional events as required. Adapt to different styles, themes, and concepts as per the requirements of each project. Requirements Previous modeling experience is preferred but not required; we welcome new talent with a passion for fashion. A strong portfolio showcasing versatility and range in modeling. Excellent physical condition and the ability to maintain a professional appearance. Confidence, poise, and the ability to walk and pose gracefully in various types of clothing. Strong communication skills and the ability to take direction well. Availability to work flexible hours, including evenings and weekends. Punctuality, reliability, and a strong work ethic.

Job description Experience: Min 1 months to 3 years preferred Location: Adajan, surat. Job Type: Permanent (Full Time) CTC: Best in the Industry Mandatory Skills Must be a working in IT Industry/Teaching/Training with a minimum of 6 months of Experience Must have strong communication skills Should be good in dealing with curious students Technical Skills · Data science · Data visualisation · Machine Learning · Python · R Language · Artificial Intelligence · Power BI Roles & Responsibilities: · Training the youth joining at IANT for Technical Courses and making future IT Professionals. · Preparing students for getting a jobs in IT industry by providing Technical Knowledge. · Providing Practical training to the students to make them employable · Creating IT awareness on different Technologies by delivering webinars/ Seminars in colleges Candidate with training/teaching background will be an added advantage Job Types: Full-time, Regular / Permanent Job Type: Full-time Salary: ₹15,000.00 - ₹40,000.00 per month Schedule: Day shift Ability to commute/relocate: Pune, Maharashtra: Reliably commute or planning to relocate before starting work (Preferred) Education: Bachelor's (Preferred) Language: English/Hindi/Marathi (Preferred) Timely Batch Completion § Conduct lectures as per the log sheets and ensure that the modules are completed as per the batch schedule § Start lectures on time Excellence in Course Delivery § Conduct sessions using Sharpschool Methodology . § Ensure every experiment is demonstrated to the student in the class § Maintain labs/equipments and ensure they are in proper order before starting the class § Ensure that the number of Drop-outs is reduced to the minimum extent possible § Conduct proxy lectures in case where the concerned faculty is absent § Ensure daily assignment are given to the students § Ensure students complete their journal and project work within the stipulated time frame § Responsible for student conduct and classroom discipline and administration § Conduct internal exams on timely basis § Assist the external examiner in conducting the centre examination § Increasingly promote students for international certification courses § Conduct parents teacher meet and provide constructive feedback Training and Development § Need to be FAT certified before undertaking any module § Perform well in periodic review tests § Upgrade themselves within the stipulated time period to conduct higher modules by attending training on these modules imparted by the senior faculty Data Management § Prepare and send student progress reports within the specified period § Maintain Sharpschool Methodology register on a daily basis § Maintain Batch tracker in real time basis § Prepare batch tracking report on a monthly basis Maintain lab register on a daily basis Job Type: Full-time Pay: ₹15,000.00 - ₹30,000.00 per month Benefits: Flexible schedule Schedule: Day shift Supplemental Pay: Commission pay Overtime pay Ability to commute/relocate: Adajan, Surat, Gujarat: Reliably commute or planning to relocate before starting work (Required) Education: Bachelor's (Preferred) Language: English (Preferred) Work Location: In person Expected Start Date: 23/06/2025

*Responsible for end to end business analytics *Responsible for stake holder handling and strategy development *Handling end to end projects Required Candidate profile exp in SAS/SQL/Tableau (writing codes from scratch) Key skills-Strategic development, statistical modelling ,logistics Regression,Predictive modelling,Customer segmentation

Applied Research Scientist - AI Models Bangalore, India Engineering 65717 Job Description WHAT YOU DO AT AMD CHANGES EVERYTHING We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences – the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world’s most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives. AMD together we advance_ THE ROLE: The AI Models team is looking for exceptional machine learning scientists and engineers to explore and innovate on training and inference techniques for large language models (LLMs), large multimodal models (LMMs), image/video generation and other foundation models. You will be part of a world-class research and development team focussing on efficient and scalable pre-training, instruction tuning, alignment and optimization. As an early member of the team, you can help us shape the direction and strategy to fulfill this important charter. THE PERSON: This role is for you if you are passionate about reading through the latest literature, coming up with novel ideas, and implementing those through high quality code to push the boundaries on scale and performance. The ideal candidate will have both theoretical expertise and hands-on experience with developing LLMs, LMMs, and/or diffusion models. We are looking for someone who is familiar with hyper-parameter tuning methods, data preprocessing & encoding techniques and distributed training approaches for large models. KEY RESPONSIBILITIES: Pre-train and post-train models over large GPU clusters while optimizing for various trade-offs. Improve upon the state-of-the-art in Generative AI model architectures, data and training techniques. Accelerate the training and inference speed across AMD accelerators. Build agentic frameworks to solve various kinds of problems Publish your research at top-tier conferences, workshops and/or through technical blogs. Engage with academia and open-source ML communities. Drive continuous improvement of infrastructure and development ecosystem. PREFERRED EXPERIENCE: Strong development and debugging skills in Python. Experience in deep learning frameworks (like PyTorch or TensorFlow) and distributed training tools (like DeepSpeed or Pytorch Distributed). Experience with fine-tuning methods (like RLHF & DPO) as well as parameter efficient techniques (like LoRA & DoRA). Solid understanding of various types of transformers and state space models. Strong publication record in top-tier conferences, workshops or journals. Solid communication and problem-solving skills. Passionate about learning new stuffs in this domain as well as innovating on top of it ACADEMIC CREDENTIALS: Advanced degree (Master’s or PhD) in machine learning, computer science, artificial intelligence, or a related field is expected. Exceptional Bachelor’s degree candidates may also be considered. #LI-MK1 AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.

Develop professional logistics to improvise student performance. Guide, lead and mentor students in research projects. Evaluate, monitor and mentor student academic progress. Create, innovate and implement career-enhancement programs and activities. Supervise and support teaching assistants. Participate in departmental and college activities. Serve and support functional activities of departmental committees. Assess, review and evaluate student activities and progress. Assist and support senior professors in their day-to-day tasks and functions. Develop and implement innovative instructional methods. Job Type: Full-time Pay: ₹8,164.27 - ₹25,455.39 per month Schedule: Day shift Work Location: In person Expected Start Date: 19/06/2025