Job Role: Data Scientist Job Description:  Proficiency in machine learning algorithms and frameworks, with specific expertise in LLMs such as BERT, ROBERTA, XLNet, GPT, and LLama.  Extensive knowledge of Natural Language Processing (NLP) techniques and methodologies.  Familiarity with deep learning fundamentals, including LSTM, CNN, and RNN architectures.  Hands-on experience in developing and deploying machine learning models using frameworks like Flask or Django.  Ability to analyze and preprocess large datasets efficiently.  Strong problem-solving skills and the ability to work independently or collaboratively in a team environment.  Excellent communication skills to articulate complex technical concepts effectively.  Keen interest in staying updated with the latest advancements in machine learning and artificial intelligence.  Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related fields.  Prior experience in implementing scalable and efficient machine learning solutions would be advantageous.  Proficiency in deep learning fundamentals, with expertise in neural network architectures such as CNN, MobileNet, InceptionNet, VGG16, etc.  Extensive knowledge of image processing techniques, including segmentation and feature extraction.  Hands-on experience in developing and deploying deep learning models using TensorFlow and PyTorch libraries.  Familiarity with object detection algorithms like YOLO and object and instance segmentation methods.  Ability to process and analyze video data to derive meaningful insights and patterns.  Strong problem-solving skills and the ability to optimize and fine-tune deep learning models for performance and efficiency.  Excellent understanding of computer vision principles and techniques.  Effective communication skills to collaborate with cross-functional teams and stakeholders.  Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related fields.  Prior experience in implementing scalable and efficient deep learning solutions for realworld applications would be advantageous. Job Types: Full-time, Permanent Pay: ₹180,000.00 - ₹240,000.00 per year Benefits: Cell phone reimbursement Paid sick time Paid time off Schedule: Day shift Fixed shift Morning shift Supplemental Pay: Performance bonus Ability to commute/relocate: Tirupati, Andhra Pradesh: Reliably commute or planning to relocate before starting work (Preferred) Location: Tirupati, Andhra Pradesh (Preferred) Work Location: In person

Designation: Senior Analyst – Data Science Level: L2 Experience: 3 to 6 years Location: Chennai Job Description: We are seeking a highly skilled and motivated Data Scientist with strong expertise in Python & GenAI. The ideal candidate will have hands-on experience in building and deploying GenAI solutions using cutting-edge models like GPT, LLaMA, and similar architectures. You will play a key role in developing AI-powered applications, tools, and workflows that solve real-world business problems. Responsibilities: Provision and configure the AI development environment, including Microsoft Azure resources, ensuring all necessary infrastructure for AI agent creation and deployment is in place. Design, develop, and deploy AI agents using state-of-the-art generative AI models and frameworks. Customize AI agents to perform specific tasks such as natural language understanding, conversational AI, and decision support using frameworks like Langgraph, crewAI etc. Ingest and preprocess data from diverse sources to train and fine-tune AI models. Develop and optimize generative AI models by training on relevant datasets. Implement techniques for prompt engineering, and reinforcement learning to improve agent performance. Skills: Expertise in generative AI frameworks and agent development. Strong programming skills in Python, including experience with AI/ML libraries (e.g., TensorFlow, PyTorch). Familiarity with Microsoft Fabric, Azure AI services, and Azure SQL Database. Solid understanding of data ingestion, ETL processes, and data quality management. Experience in AI model evaluation, validation, and deployment. Ability to conduct security audits and implement data protection measures. Strong analytical, problem-solving, and communication skills. Job Snapshot Updated Date 22-05-2025 Job ID J_3611 Location Chennai, Tamil Nadu, India Experience 3 - 6 Years Employee Type Permanent

Company Description Prakash Software Solutions Pvt Ltd (PSSPL), founded in 2001, is a globally recognized software development consultancy in the IT space. As a certified Microsoft Solution Partner for Data & AI and Digital & App Innovation (Azure), and an ISO 9001: 2015 & ISO 27001: 2022 certified company, PSSPL has developed over 500 custom B2B and B2C applications for diverse industries. We provide end-to-end mobile and web development, UI/UX design, cloud-based solutions, AR, VR, AI, Big Data, and IoT solutions, as well as advanced quality assurance and dedicated Agile teams. Our focus is on delivering high-quality projects through frequent and open communication and collaboration with our clients. Role Description Experience: 4+ yrs. Skills required: Technical knowledge on Azure, AWS, Python, Jupyter Notebook, COLAB, ChatGPT, Jurrasic-1, Matplotlib, Sklearn, PyTorch, spacy, HuggingFace, SpeechBrain, Wave2Letter, ElasticSearch, AWS Transcribe, Textract, Amazon Sagemaker Natural Language Processing (NLP), Voice App Development, Data Structures & Algorithms, Web Development, Machine Learning, Deep Learning, Natural Language Processing, Data Science, Tableau, SAS Programming, SQL for Data Analytics, Power BI, Clinical Trial Analysis & Reporting, Git & GitHub Location: Ahmedabad/Vadodara Soft Skills: Leadership Skills, Managerial Skills, Communication Skills, Presentation Skills, Analytical & Logical Skills, Team building & Client relationship management What you will do: Project Planning and Management: Develop and execute comprehensive project plans, including scope, timelines, resources, and budget allocation. Define project milestones and deliverables, ensuring adherence to project management best practices throughout the project lifecycle. Requirement Analysis: Collaborate with clients and stakeholders to gather and analyse business requirements. Translate these requirements into technical specifications and project deliverables. Identify any customization or integration needs and define the technical approach accordingly. Solution Architecture: Create comprehensive AI/ML system designs, including architecture, data pipelines, algorithms, and model selection. Ensure that the solution aligns with business goals and is scalable and maintainable. Evaluate and select the most suitable AI/ML technologies, frameworks, and tools for each project. Stay up to date with emerging AI/ML trends and technologies. Team Coordination: Lead and manage cross-functional project teams, including developers, consultants, and other stakeholders. Define roles and responsibilities, assign tasks, and provide guidance and support throughout the project lifecycle. Foster effective collaboration and communication among team members. Risk and Issue Management: Identify and proactively mitigate project risks and issues. Develop contingency plans to address any potential obstacles that may arise during the project. Monitor project progress, track project metrics, and communicate project status to stakeholders, ensuring transparency and timely reporting. Quality Assurance: Establish and enforce quality standards and best practices throughout the project. Conduct regular quality reviews and ensure adherence to coding standards, testing protocols, and documentation requirements. Perform thorough testing and coordinate user acceptance testing (UAT) activities. Client Relationship Management: Build and maintain strong relationships with clients and stakeholders. Provide regular project updates, manage expectations, and address any concerns or issues that arise. Ensure a high level of client satisfaction by delivering projects that meet or exceed their expectations. Continuous Improvement: AI/ML technologies are rapidly evolving. Stay current with the latest research, frameworks, algorithms, and best practices in AI/ML. Subscribe to relevant journals, blogs, and attend conferences and workshops. Invest in ongoing education and training for your AI/ML professionals. Provide opportunities for them to acquire new skills and certifications, attend training programs, and participate in online courses. Requirements: Bachelor’s degree in computer science, Information Technology, or a related field (master’s degree preferred). Practical experience in at least one of Java, Python, or JavaScript. Practical experience with at least one of Spring, Flask, Django, or Node.js. 3+ years of experience. Effective communication skills including uplevelling communication for various leadership levels. Experience moving technical or engineering programs and products from inception to delivery, articulating the impact using metrics. Collaborate with the team in solutioning, design, and code reviews. Analytical and problem-solving experience with large-scale systems. Experience establishing work relationships across multi-disciplinary teams working remotely. Interpersonal skills, including relationship building and collaboration within a diverse, cross-functional team to develop solutions. Organizational and coordination skills along with multitasking experience to get things done in an ambiguous and fast paced environment. Analytical mindset with the ability to identify and mitigate risks, solve problems, and make data-driven decisions. Strong organizational skills and attention to detail, with the ability to manage multiple projects simultaneously. Acquire, clean, and preprocess data from various sources to prepare it for analysis and modelling. Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies in the data. Design and implement data pipelines for efficient data processing and model training. Develop and maintain documentation for data processes, datasets, and models. Collaborate with data scientists to design and evaluate machine learning models. Monitor and assess the performance of machine learning models and make recommendations for improvements. Stay up to date with industry trends and best practices in AI/ML and data analysis. Show more Show less

Job Summary: We are looking for a skilled Data Scientist to join our team. This role involves analyzing complex datasets, developing predictive models, and providing data-driven insights to support business decisions. The ideal candidate should have strong analytical skills, proficiency in machine learning techniques, and experience working with large datasets. Key Responsibilities: Collect, clean, and preprocess large datasets from various sources. Develop and implement statistical models and machine learning algorithms. Conduct exploratory data analysis to identify patterns and trends. Collaborate with cross-functional teams to understand business needs and deliver insights. Create data visualizations and dashboards to communicate findings effectively. Monitor model performance and refine algorithms based on feedback. Stay updated on industry trends and advancements in data science. Requirements: 5+ years of experience in Data science Proficiency in programming languages such as Python, R, or SQL. Experience with machine learning frameworks (e.g., TensorFlow, Scikit-learn, PyTorch). Strong knowledge of statistical analysis and data mining techniques. Familiarity with big data technologies like Hadoop or Spark. Excellent problem-solving skills and ability to work independently. Strong communication skills to convey complex technical concepts to non-technical stakeholders. Preferred Qualifications: Experience with deep learning frameworks and AI applications. Hands-on experience with data visualization tools (e.g., Tableau, Power BI). Prior experience in a similar role within the technology or finance sector. Show more Show less

About Micoworks Micoworks is a company with a clear mission: to Empower every brand for the better future. This ambitious goal sets the stage for our vision and core values. Who We Are By 2030, Micoworks aims to be the Asia No.1 Brand Empowerment Company. This mid-term goal outlines our dedication to becoming the leading force in empowering brands across Asia. To achieve our mission and vision, Micoworks identifies four key values that guide our work: WOW THE CUSTOMER SMART SPEED OPEN MIND ALL FOR ONE Micoworks' mission, vision, and values reflect our commitment to empowering brands, working with agility and open-mindedness, and prioritizing customer success. We are driven by a passion to innovate and lead in the world of brand empowerment. Role Overview: As an Agentic AI Intern, you will be working closely with a dynamic team of engineers, data scientists, and researchers on developing, implementing, and optimizing AI models and applications. You will gain hands-on experience in AI and machine learning, along with exposure to real-world problem-solving in an office environment. Key Responsibilities Assist in the development and training of AI models using machine learning frameworks. Work with large datasets to clean, preprocess, and analyze data. Contribute to the optimization of AI algorithms and processes. Collaborate with cross-functional teams to understand requirements and implement AI-based solutions. Develop, test, and deploy AI models under the supervision of senior team members. Participate in code reviews and document technical work effectively. Conduct research to stay updated with the latest trends and advancements in AI. Assist in building and improving AI tools and applications for business use cases. Desired Skills & Qualifications: Currently pursuing or recently completed a degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Strong understanding of machine learning algorithms and principles. Proficiency in programming languages such as Python, R, or Java. Hands-on experience with machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Familiarity with data preprocessing, data cleaning, and data visualization. Good knowledge of statistical methods and model evaluation techniques. Strong analytical and problem-solving skills. Ability to work collaboratively in a team-oriented environment. Excellent communication skills to convey technical concepts effectively. Good to Have: Prior internship experience or personal projects related to AI/ML. Knowledge of cloud platforms like AWS, Google Cloud, or Azure. Experience with Natural Language Processing (NLP) or Computer Vision (CV). Why Join Us: Gain hands-on experience working with the latest AI technologies. Mentorship from industry experts and senior professionals. Exposure to real-world AI projects with a direct impact on business outcomes. Opportunity to work in a collaborative and innovative work environment. Flexible, inclusive, and growth-oriented culture. Show more Show less

About Micoworks Micoworks is a company with a clear mission: to Empower every brand for the better future. This ambitious goal sets the stage for our vision and core values. Who We Are By 2030, Micoworks aims to be the Asia No.1 Brand Empowerment Company. This mid-term goal outlines our dedication to becoming the leading force in empowering brands across Asia. To achieve our mission and vision, Micoworks identifies four key values that guide our work: WOW THE CUSTOMER SMART SPEED OPEN MIND ALL FOR ONE Micoworks' mission, vision, and values reflect our commitment to empowering brands, working with agility and open-mindedness, and prioritizing customer success. We are driven by a passion to innovate and lead in the world of brand empowerment. Role Overview: As an Agentic AI Intern, you will be working closely with a dynamic team of engineers, data scientists, and researchers on developing, implementing, and optimizing AI models and applications. You will gain hands-on experience in AI and machine learning, along with exposure to real-world problem-solving in an office environment. Key Responsibilities Assist in the development and training of AI models using machine learning frameworks. Work with large datasets to clean, preprocess, and analyze data. Contribute to the optimization of AI algorithms and processes. Collaborate with cross-functional teams to understand requirements and implement AI-based solutions. Develop, test, and deploy AI models under the supervision of senior team members. Participate in code reviews and document technical work effectively. Conduct research to stay updated with the latest trends and advancements in AI. Assist in building and improving AI tools and applications for business use cases. Desired Skills & Qualifications: Currently pursuing or recently completed a degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Strong understanding of machine learning algorithms and principles. Proficiency in programming languages such as Python, R, or Java. Hands-on experience with machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Familiarity with data preprocessing, data cleaning, and data visualization. Good knowledge of statistical methods and model evaluation techniques. Strong analytical and problem-solving skills. Ability to work collaboratively in a team-oriented environment. Excellent communication skills to convey technical concepts effectively. Good to Have: Prior internship experience or personal projects related to AI/ML. Knowledge of cloud platforms like AWS, Google Cloud, or Azure. Experience with Natural Language Processing (NLP) or Computer Vision (CV). Why Join Us: Gain hands-on experience working with the latest AI technologies. Mentorship from industry experts and senior professionals. Exposure to real-world AI projects with a direct impact on business outcomes. Opportunity to work in a collaborative and innovative work environment. Flexible, inclusive, and growth-oriented culture. Show more Show less

At Franklin Templeton, we’re driving our industry forward by developing new and innovative ways to help our clients achieve their investment goals. Our dynamic and diversified firm spans asset management, wealth management, and fintech, offering many ways to help investors make progress toward their goals. Our talented teams working around the globe bring expertise that’s both broad and unique. From our welcoming, inclusive, and flexible culture to our global and diverse business, we offer opportunities not only to help you reach your potential but also to contribute to our clients’ achievements. Come join us in delivering better outcomes for our clients around the world! What is the “AI/ML Senior Engineer” in FTT AI & Digital Transformation group responsible for? The AI/ML Engineer in the FTT AI & Digital Transformation group is responsible for researching and developing state-of-the-art generative AI tools and products. These tools aim to enhance the productivity and efficiency of our internal teams, specifically the sales, distribution, and operations teams. The role involves conducting extensive research and performing proof-of-concept work to validate the feasibility and effectiveness of AI models. The engineer will collaborate with cross-functional teams to integrate AI solutions seamlessly into existing workflows. Additionally, the AI/ML Engineer is expected to stay abreast of the latest advancements in AI and machine learning to ensure our solutions are cutting-edge and competitive. Research And Proof-of-Concept Work The role includes a significant focus on research work to explore the potential of new AI technologies and methodologies. This involves experimenting with different algorithms and models to identify the most effective solutions for our needs. Proof-of-concept work is crucial to demonstrate the practicality and benefits of these AI solutions before full-scale implementation. What are the ongoing responsibilities of AI/ML Senior Engineer? Developing AI-powered tools: Design, implement, and maintain generative AI systems to support the needs of internal teams. Ensure these tools are scalable, reliable, and efficient for daily use. Conducting research: Regularly explore and analyze new AI trends and technologies to incorporate the latest advancements into our products. This includes reading research papers, attending conferences, and participating in industry forums. Proof-of-concept (PoC) work: Create PoCs to evaluate the feasibility and performance of different AI models. Use these PoCs to demonstrate the potential benefits to stakeholders and guide decision-making. Collaborating with teams: Work closely with sales, distribution, and operations teams to understand their needs and challenges. Tailor AI solutions to address specific pain points and improve overall efficiency. Data preprocessing and analysis: Clean, preprocess, and analyze large datasets to extract meaningful insights. Use these insights to train and optimize AI models. Integration and deployment: Integrate AI models into existing systems and workflows. Ensure smooth deployment and monitor the performance of these models in a production environment. Documentation and reporting: Maintain comprehensive documentation of AI models, algorithms, and systems. Regularly report progress and results to stakeholders. Mentorship and knowledge sharing: Provide guidance and mentorship to junior team members. Share knowledge and best practices to foster a collaborative and innovative work environment. What ideal qualifications, skills & experience would help someone to be successful? Bachelor’s degree in Computer Science, Data Science, Machine Learning, or a related field. A master’s or Ph.D. is preferred. Strong understanding of machine learning algorithms, deep learning frameworks, and statistical analysis. Proficiency in programming languages such as Python, R, or Java. Work Experience 2-8 years of experience in AI/ML engineering or a related field. Proven track record of developing and deploying AI solutions in a production environment. Experience with data preprocessing, model training, and optimization techniques. Familiarity with cloud platforms and tools for AI/ML development and deployment. Strong problem-solving skills and the ability to work in a fast-paced, collaborative environment. Job Level - Individual Contributor Work Shift Timings - 2:00 PM - 11:00 PM IST Experience our welcoming culture and reach your professional and personal potential! Our culture is shaped by our diverse global workforce and strongly held core values. Regardless of your interests, lifestyle, or background, there’s a place for you at Franklin Templeton. We provide employees with the tools, resources, and learning opportunities to help them excel in their career and personal life. Hear more from our employees By joining us, you will become part of a culture that focuses on employee well-being and provides multidimensional support for a positive and healthy lifestyle. We understand that benefits are at the core of employee well-being and may vary depending on individual needs. Whether you need support for maintaining your physical and mental health, saving for life’s adventures, taking care of your family members, or making a positive impact in your community, we aim to have them covered. Highlights Of Our Benefits Include Professional development growth opportunities through in-house classes and over 150 Web-based training courses An educational assistance program to financially help employees seeking continuing education Medical, Life and Personal Accident Insurance benefit for employees. Medical insurance also cover employee’s dependents (spouses, children and dependent parents) Life insurance for protection of employees’ families Personal accident insurance for protection of employees and their families Personal loan assistance Employee Stock Investment Plan (ESIP) 12 weeks Paternity leave Onsite fitness center, recreation center, and cafeteria Transport facility Child day care facility for women employees Cricket grounds and gymnasium Library Health Center with doctor availability HDFC ATM on the campus Learn more about the wide range of benefits we offer at Franklin Templeton Franklin Templeton is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all applicants and existing employees, and we evaluate qualified applicants without regard to ancestry, age, color, disability, genetic information, gender, gender identity, or gender expression, marital status, medical condition, military or veteran status, national origin, race, religion, sex, sexual orientation, and any other basis protected by federal, state, or local law, ordinance, or regulation. Franklin Templeton is committed to fostering a diverse and inclusive environment. If you believe that you need an accommodation or adjustment to search for or apply for one of our positions, please send an email to accommodations@franklintempleton.com. In your email, please include the accommodation or adjustment you are requesting, the job title, and the job number you are applying for. It may take up to three business days to receive a response to your request. Please note that only accommodation requests will receive a response. Show more Show less

Job Title: Machine Learning Intern (Paid) Company: Unified Mentor Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with Certificate of Internship Application Deadline: 20th May 2025 About Unified Mentor Unified Mentor provides students and graduates with hands-on learning opportunities and career growth in Machine Learning and Data Science. Role Overview As a Machine Learning Intern, you will work on real-world projects, enhancing your practical skills in data analysis and model development. Responsibilities ✅ Design, test, and optimize machine learning models ✅ Analyze and preprocess datasets ✅ Develop algorithms and predictive models ✅ Use tools like TensorFlow, PyTorch, and Scikit-learn ✅ Document findings and create reports Requirements 🎓 Enrolled in or a graduate of a relevant program (Computer Science, AI, Data Science, or related field) 🧠 Knowledge of machine learning concepts and algorithms 💻 Proficiency in Python or R (preferred) 🤝 Strong analytical and teamwork skills Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) ✔ Hands-on machine learning experience ✔ Internship Certificate & Letter of Recommendation ✔ Real-world project contributions for your portfolio Equal Opportunity Unified Mentor is an equal-opportunity employer, welcoming candidates from all backgrounds. Show more Show less

Machine Learning Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship Application Deadline: 20th May 2025 About WebBoost Solutions by UM WebBoost Solutions by UM provides students and graduates with hands-on learning and career growth opportunities in machine learning and data science . Role Overview As a Machine Learning Intern , you’ll work on real-world projects , gaining practical experience in machine learning and data analysis . Responsibilities ✅ Design, test, and optimize machine learning models. ✅ Analyze and preprocess datasets. ✅ Develop algorithms and predictive models for various applications. ✅ Use tools like TensorFlow, PyTorch, and Scikit-learn . ✅ Document findings and create reports to present insights. Requirements 🎓 Enrolled in or graduate of a relevant program (AI, ML, Data Science, Computer Science, or related field). 📊 Knowledge of machine learning concepts and algorithms . 🐍 Proficiency in Python or R (preferred). 🤝 Strong analytical and teamwork skills . Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) ✔ Practical machine learning experience . ✔ Internship Certificate & Letter of Recommendation . ✔ Build your portfolio with real-world projects . How to Apply 📩 Submit your application by 20th May 2025 with the subject: "Machine Learning Intern Application" . Equal Opportunity WebBoost Solutions by UM is an equal opportunity employer , welcoming candidates from all backgrounds . Show more Show less

Machine Learning Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship Application Deadline: 20th May 2025 About WebBoost Solutions by UM WebBoost Solutions by UM provides students and graduates with hands-on learning and career growth opportunities in machine learning and data science . Role Overview As a Machine Learning Intern , you’ll work on real-world projects , gaining practical experience in machine learning and data analysis . Responsibilities ✅ Design, test, and optimize machine learning models. ✅ Analyze and preprocess datasets. ✅ Develop algorithms and predictive models for various applications. ✅ Use tools like TensorFlow, PyTorch, and Scikit-learn . ✅ Document findings and create reports to present insights. Requirements 🎓 Enrolled in or graduate of a relevant program (AI, ML, Data Science, Computer Science, or related field). 📊 Knowledge of machine learning concepts and algorithms . 🐍 Proficiency in Python or R (preferred). 🤝 Strong analytical and teamwork skills . Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) ✔ Practical machine learning experience . ✔ Internship Certificate & Letter of Recommendation . ✔ Build your portfolio with real-world projects . How to Apply 📩 Submit your application by 20th May 2025 with the subject: "Machine Learning Intern Application" . Equal Opportunity WebBoost Solutions by UM is an equal opportunity employer , welcoming candidates from all backgrounds . Show more Show less

ob Title: AI Full stack Developer – GenAI & NLP Location: Pune, India (Hybrid) Work Mode: Remote Experience Required: 2+ Years (Relevant AI/ML with GenAI & NLP) Salary: Up to ₹15 LPA (CTC) Employment Type: Full-time Department: AI Research & Development Role Overview We are looking for a passionate AI Developer with strong hands-on experience in Generative AI and Natural Language Processing (NLP) to help build intelligent and scalable solutions. In this role, you will design and deploy advanced AI models for tasks such as language generation, summarization, chatbot development, document analysis, and more. You’ll work with cutting-edge LLMs (Large Language Models) and contribute to impactful AI initiatives. Key Responsibilities Design, fine-tune, and deploy NLP and GenAI models using LLMs like GPT, BERT, LLaMA, or similar. Build applications for tasks like text generation, question-answering, summarization, sentiment analysis, and semantic search. Integrate language models into production systems using RESTful APIs or cloud services. Evaluate and optimize models for accuracy, latency, and cost. Collaborate with product and engineering teams to implement intelligent user-facing features. Preprocess and annotate text data, create custom datasets, and manage model pipelines. Stay updated on the latest advancements in generative AI, transformer models, and NLP frameworks. Required Skills & Qualifications Bachelor’s or Master’s degree in Computer Science, AI/ML, or a related field. Minimum 2 years of experience in fullstack development and AI/ML development, with recent work in NLP or Generative AI. Hands-on experience with models such as GPT, T5, BERT, or similar transformer-based architectures. Proficient in Python and libraries such as Hugging Face Transformers, spaCy, NLTK, or OpenAI APIs. Hands-on experience in any frontend/ backend technologies for software development. Experience with deploying models using Flask, FastAPI, or similar frameworks. Strong understanding of NLP tasks, embeddings, vector databases (e.g., FAISS, Pinecone), and prompt engineering. Familiarity with MLOps tools and cloud platforms (AWS, Azure, or GCP). Preferred Qualifications Experience with LangChain, RAG (Retrieval-Augmented Generation), or custom LLM fine-tuning. Knowledge of model compression, quantization, or inference optimization. Exposure to ethical AI, model interpretability, and data privacy practices. What We Offer Competitive salary package up to ₹15 LPA. Remote work flexibility with hybrid team collaboration in Pune. Opportunity to work on real-world generative AI and NLP applications. Access to resources for continuous learning and certification support. Inclusive, fast-paced, and innovative work culture. Skills: r,kubernetes,next.js,docker,rag architectures,large language models (llms),gcp,embeddings,large language models,bert,javascript,django,machine learning (ml),cloud,tensorflow,machine learning,openai,artificial intelligence,natural language processing (nlp),vector databases,nltk,ai tools,langchain,fastapi,ml,typescript,react.js,java,deep learning,ai development,aws,flask,natural language processing,gpt,nlp tasks,hugging face,hugging face transformers,mlops tools,azure,generative ai,ai technologies,google cloud,node.js,python,nlp,spacy,mlops,ci/cd,pytorch,computer vision Show more Show less

Job Title: Data Analysis Intern Location: Remote Job Type: Internship (Full-Time) Duration: 1–3 Months Stipend: ₹25,000/month Department: Data & Analytics Job Summary: We are seeking a detail-oriented and analytical Data Analysis Intern to join our remote data team. This internship is ideal for individuals looking to apply their skills in statistics, data handling, and business intelligence to real-world problems. You will gain hands-on experience with data tools and contribute to meaningful data-driven decision-making. Key Responsibilities: Collect, clean, and preprocess data from various sources Perform exploratory data analysis (EDA) and identify trends, patterns, and insights Create visualizations and dashboards to present findings using tools like Excel, Power BI, or Tableau Assist in building reports and communicating insights to different teams Document analytical processes and ensure data accuracy and consistency Collaborate with cross-functional teams to support ongoing data initiatives Qualifications: Bachelor’s degree (or final year student) in Data Science, Statistics, Computer Science, Economics, or related field Strong skills in Excel, SQL, and Python or R Understanding of basic statistical concepts and data analysis techniques Familiarity with data visualization tools such as Power BI, Tableau, or Matplotlib Good problem-solving skills and attention to detail Ability to work independently in a remote environment Preferred Skills (Nice to Have): Experience working with large datasets or real-world business data Knowledge of A/B testing, correlation analysis, or regression techniques Exposure to data cleaning and automation tools Familiarity with Jupyter Notebooks, Google Sheets, or cloud data tools What We Offer: Monthly stipend of ₹25,000 100% remote internship Exposure to real-world business and product data Mentorship from experienced data analysts and domain experts Certificate of Completion Opportunity for full-time placement based on performance Show more Show less

ob Title: AI Full stack Developer – GenAI & NLP Location: Pune, India (Hybrid) Work Mode: Remote Experience Required: 2+ Years (Relevant AI/ML with GenAI & NLP) Salary: Up to ₹15 LPA (CTC) Employment Type: Full-time Department: AI Research & Development Role Overview We are looking for a passionate AI Developer with strong hands-on experience in Generative AI and Natural Language Processing (NLP) to help build intelligent and scalable solutions. In this role, you will design and deploy advanced AI models for tasks such as language generation, summarization, chatbot development, document analysis, and more. You’ll work with cutting-edge LLMs (Large Language Models) and contribute to impactful AI initiatives. Key Responsibilities Design, fine-tune, and deploy NLP and GenAI models using LLMs like GPT, BERT, LLaMA, or similar. Build applications for tasks like text generation, question-answering, summarization, sentiment analysis, and semantic search. Integrate language models into production systems using RESTful APIs or cloud services. Evaluate and optimize models for accuracy, latency, and cost. Collaborate with product and engineering teams to implement intelligent user-facing features. Preprocess and annotate text data, create custom datasets, and manage model pipelines. Stay updated on the latest advancements in generative AI, transformer models, and NLP frameworks. Required Skills & Qualifications Bachelor’s or Master’s degree in Computer Science, AI/ML, or a related field. Minimum 2 years of experience in fullstack development and AI/ML development, with recent work in NLP or Generative AI. Hands-on experience with models such as GPT, T5, BERT, or similar transformer-based architectures. Proficient in Python and libraries such as Hugging Face Transformers, spaCy, NLTK, or OpenAI APIs. Hands-on experience in any frontend/ backend technologies for software development. Experience with deploying models using Flask, FastAPI, or similar frameworks. Strong understanding of NLP tasks, embeddings, vector databases (e.g., FAISS, Pinecone), and prompt engineering. Familiarity with MLOps tools and cloud platforms (AWS, Azure, or GCP). Preferred Qualifications Experience with LangChain, RAG (Retrieval-Augmented Generation), or custom LLM fine-tuning. Knowledge of model compression, quantization, or inference optimization. Exposure to ethical AI, model interpretability, and data privacy practices. What We Offer Competitive salary package up to ₹15 LPA. Remote work flexibility with hybrid team collaboration in Pune. Opportunity to work on real-world generative AI and NLP applications. Access to resources for continuous learning and certification support. Inclusive, fast-paced, and innovative work culture. Skills: computer vision,next.js,r,mlops,artificial intelligence,nltk,flask,aws,react.js,bert,hugging face,embeddings,google cloud,machine learning,machine learning (ml),natural language processing,hugging face transformers,natural language processing (nlp),ci/cd,nlp,django,python,large language models,pytorch,fastapi,large language models (llms),openai,ai technologies,typescript,ai tools,azure,kubernetes,gcp,llama,mlops tools,gpt,vector databases,javascript,rag architectures,nlp tasks,langchain,openai apis,spacy,docker,ai development,tensorflow,ml,node.js,generative ai,java,cloud,deep learning Show more Show less

Job Title: Machine Learning Intern (Paid) Company: Unified Mentor Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with Certificate of Internship Application Deadline: 18th May 2025 About Unified Mentor Unified Mentor provides students and graduates with hands-on learning opportunities and career growth in Machine Learning and Data Science. Role Overview As a Machine Learning Intern, you will work on real-world projects, enhancing your practical skills in data analysis and model development. Responsibilities ✅ Design, test, and optimize machine learning models ✅ Analyze and preprocess datasets ✅ Develop algorithms and predictive models ✅ Use tools like TensorFlow, PyTorch, and Scikit-learn ✅ Document findings and create reports Requirements 🎓 Enrolled in or a graduate of a relevant program (Computer Science, AI, Data Science, or related field) 🧠 Knowledge of machine learning concepts and algorithms 💻 Proficiency in Python or R (preferred) 🤝 Strong analytical and teamwork skills Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) ✔ Hands-on machine learning experience ✔ Internship Certificate & Letter of Recommendation ✔ Real-world project contributions for your portfolio Equal Opportunity Unified Mentor is an equal-opportunity employer, welcoming candidates from all backgrounds. Show more Show less

Job Title: Data Science Intern Job ID: 0459 Work Mode: Remote Experience Required: Fresher Stipend: ₹10,500 per month About The Role We’re looking for a Data Science Intern who is eager to explore the world of data and contribute to real-world projects. This is an exciting opportunity for recent graduates or students to work hands-on with data collection, analysis, visualization, and machine learning under the mentorship of experienced data scientists. If you're passionate about transforming raw data into actionable insights and learning through practical experience, this role is for you. Key Responsibilities Data Preparation: Collect, clean, and preprocess data from diverse sources such as databases, APIs, and spreadsheets. Data Analysis: Perform exploratory data analysis (EDA) to identify patterns, trends, and key insights. Machine Learning: Support the development and evaluation of ML models for predictive and classification tasks. Visualization: Build visual dashboards and reports using tools like Tableau, Power BI, Matplotlib, or Seaborn. Cross-functional Collaboration: Work closely with software engineers, data scientists, and product teams. Documentation: Maintain clear records of data pipelines, methodologies, and insights. Continuous Learning: Keep up with the latest tools, frameworks, and best practices in data science. Who Can Apply Currently pursuing or recently completed a degree in Data Science, Computer Science, Mathematics, Statistics, or a related field. Strong foundation in Python or R for data analysis and machine learning. Experience with Pandas, NumPy, or similar data manipulation libraries. Familiarity with machine learning frameworks like scikit-learn, TensorFlow, or PyTorch. Proficient in SQL for database querying. Knowledge of EDA techniques and basic statistical concepts. Ability to create compelling data visualizations and translate insights into actionable outcomes. Strong communication skills and a proactive approach to learning. Why Join Us? Fully remote internship with flexible work hours Work with real-world data and gain hands-on exposure to live projects Mentorship from experienced professionals in the data science field Certificate of Completion provided A great starting point for a career in analytics, ML, or AI Note: This is a paid internship.Skills: python,tableau,r,power bi,matplotlib,pytorch,seaborn,tensorflow,scikit-learn,numpy,sql,data analysis,pandas,data science Show more Show less

Machine Learning Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship Application Deadline: 18th May 2025 About WebBoost Solutions by UM WebBoost Solutions by UM provides students and graduates with hands-on learning and career growth opportunities in machine learning and data science . Role Overview As a Machine Learning Intern , you’ll work on real-world projects , gaining practical experience in machine learning and data analysis . Responsibilities ✅ Design, test, and optimize machine learning models. ✅ Analyze and preprocess datasets. ✅ Develop algorithms and predictive models for various applications. ✅ Use tools like TensorFlow, PyTorch, and Scikit-learn . ✅ Document findings and create reports to present insights. Requirements 🎓 Enrolled in or graduate of a relevant program (AI, ML, Data Science, Computer Science, or related field). 📊 Knowledge of machine learning concepts and algorithms . 🐍 Proficiency in Python or R (preferred). 🤝 Strong analytical and teamwork skills . Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) ✔ Practical machine learning experience . ✔ Internship Certificate & Letter of Recommendation . ✔ Build your portfolio with real-world projects . How to Apply 📩 Submit your application by 18th May 2025 with the subject: "Machine Learning Intern Application" . Equal Opportunity WebBoost Solutions by UM is an equal opportunity employer , welcoming candidates from all backgrounds . Show more Show less

Data Science Intern (Paid) Company: Unified Mentor Location: Remote Duration: 3 months Application Deadline: 18th May 2025 Opportunity: Full-time role based on performance + Internship Certificate About Unified Mentor Unified Mentor provides aspiring professionals with hands-on experience in data science through industry-relevant projects, helping them build successful careers. Responsibilities Collect, preprocess, and analyze large datasets Develop predictive models and machine learning algorithms Perform exploratory data analysis (EDA) to extract insights Create data visualizations and dashboards for effective communication Collaborate with cross-functional teams to deliver data-driven solutions Requirements Enrolled in or a graduate of Data Science, Computer Science, Statistics, or a related field Proficiency in Python or R for data analysis and modeling Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) Familiarity with data visualization tools like Tableau, Power BI, or Matplotlib Strong analytical and problem-solving skills Excellent communication and teamwork abilities Stipend & Benefits Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) Hands-on experience in data science projects Certificate of Internship & Letter of Recommendation Opportunity to build a strong portfolio of data science models and applications Potential for full-time employment based on performance How to Apply Submit your resume and a cover letter with the subject line "Data Science Intern Application." Equal Opportunity: Unified Mentor welcomes applicants from all backgrounds. Show more Show less

At Franklin Templeton, we’re driving our industry forward by developing new and innovative ways to help our clients achieve their investment goals. Our dynamic and diversified firm spans asset management, wealth management, and fintech, offering many ways to help investors make progress toward their goals. Our talented teams working around the globe bring expertise that’s both broad and unique. From our welcoming, inclusive, and flexible culture to our global and diverse business, we offer opportunities not only to help you reach your potential but also to contribute to our clients’ achievements. Come join us in delivering better outcomes for our clients around the world! At Franklin Templeton, everything we do is focused on one thing – delivering better client outcomes. We do that by partnering closely with our clients, assessing their strategic needs, and identifying the solution or solutions that can meet the challenge. Over 9,000 employees working in 34 countries around the world are dedicated to servicing investment solutions for our clients in more than 160 countries. For more than 70 years our success has been a direct result of the talent, skills and persistence of our people, and we are looking for qualified candidates to join our team. What is the “AI/ML Engineer” in FTT AI & Digital Transformation group responsible for? The AI/ML Engineer in the FTT AI & Digital Transformation group is responsible for researching and developing state-of-the-art generative AI tools and products. These tools aim to enhance the productivity and efficiency of our internal teams, specifically the sales, distribution, and operations teams. The role involves conducting extensive research and performing proof-of-concept work to validate the feasibility and effectiveness of AI models. The engineer will collaborate with cross-functional teams to integrate AI solutions seamlessly into existing workflows. Additionally, the AI/ML Engineer is expected to stay abreast of the latest advancements in AI and machine learning to ensure our solutions are cutting-edge and competitive. Research And Proof-of-Concept Work The role includes a significant focus on research work to explore the potential of new AI technologies and methodologies. This involves experimenting with different algorithms and models to identify the most effective solutions for our needs. Proof-of-concept work is crucial to demonstrate the practicality and benefits of these AI solutions before full-scale implementation. What are the ongoing responsibilities of AI/ML Engineer? Developing AI-powered tools: Design, implement, and maintain generative AI systems to support the needs of internal teams. Ensure these tools are scalable, reliable, and efficient for daily use. Conducting research: Regularly explore and analyze new AI trends and technologies to incorporate the latest advancements into our products. This includes reading research papers, attending conferences, and participating in industry forums. Proof-of-concept (PoC) work: Create PoCs to evaluate the feasibility and performance of different AI models. Use these PoCs to demonstrate the potential benefits to stakeholders and guide decision-making. Collaborating with teams: Work closely with sales, distribution, and operations teams to understand their needs and challenges. Tailor AI solutions to address specific pain points and improve overall efficiency. Data preprocessing and analysis: Clean, preprocess, and analyze large datasets to extract meaningful insights. Use these insights to train and optimize AI models. Integration and deployment: Integrate AI models into existing systems and workflows. Ensure smooth deployment and monitor the performance of these models in a production environment. Documentation and reporting: Maintain comprehensive documentation of AI models, algorithms, and systems. Regularly report progress and results to stakeholders. Mentorship and knowledge sharing: Provide guidance and mentorship to junior team members. Share knowledge and best practices to foster a collaborative and innovative work environment. What ideal qualifications, skills & experience would help someone to be successful? Bachelor’s degree in computer science, Data Science, Machine Learning, or a related field. A master’s or Ph.D. is preferred. Strong understanding of machine learning algorithms, deep learning frameworks, and statistical analysis. Proficiency in programming languages such as Python, R, or Java. Work Experience 2-4 years of experience in AI/ML engineering or a related field. Proven track record of developing and deploying AI solutions in a production environment. Experience with data preprocessing, model training, and optimization techniques. Familiarity with cloud platforms and tools for AI/ML development and deployment. Strong problem-solving skills and the ability to work in a fast-paced, collaborative environment. Job Level - Individual Contributor Work Shift Timing - 2:00 PM - 11:00 PM IST Experience our welcoming culture and reach your professional and personal potential! Our culture is shaped by our diverse global workforce and strongly held core values. Regardless of your interests, lifestyle, or background, there’s a place for you at Franklin Templeton. We provide employees with the tools, resources, and learning opportunities to help them excel in their career and personal life. Hear more from our employees By joining us, you will become part of a culture that focuses on employee well-being and provides multidimensional support for a positive and healthy lifestyle. We understand that benefits are at the core of employee well-being and may vary depending on individual needs. Whether you need support for maintaining your physical and mental health, saving for life’s adventures, taking care of your family members, or making a positive impact in your community, we aim to have them covered. Highlights Of Our Benefits Include Professional development growth opportunities through in-house classes and over 150 Web-based training courses An educational assistance program to financially help employees seeking continuing education Medical, Life and Personal Accident Insurance benefit for employees. Medical insurance also cover employee’s dependents (spouses, children and dependent parents) Life insurance for protection of employees’ families Personal accident insurance for protection of employees and their families Personal loan assistance Employee Stock Investment Plan (ESIP) 12 weeks Paternity leave Onsite fitness center, recreation center, and cafeteria Transport facility Child day care facility for women employees Cricket grounds and gymnasium Library Health Center with doctor availability HDFC ATM on the campus Learn more about the wide range of benefits we offer at Franklin Templeton Franklin Templeton is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all applicants and existing employees, and we evaluate qualified applicants without regard to ancestry, age, color, disability, genetic information, gender, gender identity, or gender expression, marital status, medical condition, military or veteran status, national origin, race, religion, sex, sexual orientation, and any other basis protected by federal, state, or local law, ordinance, or regulation. Franklin Templeton is committed to fostering a diverse and inclusive environment. If you believe that you need an accommodation or adjustment to search for or apply for one of our positions, please send an email to accommodations@franklintempleton.com. In your email, please include the accommodation or adjustment you are requesting, the job title, and the job number you are applying for. It may take up to three business days to receive a response to your request. Please note that only accommodation requests will receive a response. Show more Show less

Work Level : Individual Core : Disciplined Leadership : Team Alignment Industry Type : Information Technology Function : Data Analyst Key Skills : Data Analysis,PLSQL,Power App,Python Education : Graduate Note: This is a requirement for one of the Workassist Hiring Partner Primary Responsibility: Collect, clean, and analyze data from various sources. Assist in creating dashboards, reports, and visualizations. We are looking for a highly motivated Data Analyst Intern to join our team remotely. As a Data Analyst Intern, you will work closely with our data team to collect, clean, analyze, and visualize data to provide actionable insights. This internship is an excellent opportunity to gain hands-on experience in data analytics while working on real-world projects. Responsibilities Collect, clean, and preprocess data from various sources. This is a Remote position. Perform exploratory data analysis (EDA) to identify trends and patterns. Develop dashboards and reports using tools like Excel, Power BI, or Tableau. Use SQL to query and manipulate large datasets. Assist in building predictive models and performing statistical analyses. Present insights and recommendations based on data findings. Collaborate with cross-functional teams to support data-driven decision-making. Company Description Workassist is an online recruitment and employment solution platform based in Lucknow, India. We provide relevant profiles to employers and connect job seekers with the best opportunities across various industries. With a network of over 10,000+ recruiters, we help employers recruit talented individuals from sectors such as Banking & Finance, Consulting, Sales & Marketing, HR, IT, Operations, and Legal. We have adapted to the new normal and strive to provide a seamless job search experience for job seekers worldwide. Our goal is to enhance the job seeking experience by leveraging technology and matching job seekers with the right employers. For a seamless job search experience, visit our website: https://bit.ly/3QBfBU2 (Note: There are many more opportunities apart from this on the portal. Depending on the skills, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

At Franklin Templeton, we’re driving our industry forward by developing new and innovative ways to help our clients achieve their investment goals. Our dynamic and diversified firm spans asset management, wealth management, and fintech, offering many ways to help investors make progress toward their goals. Our talented teams working around the globe bring expertise that’s both broad and unique. From our welcoming, inclusive, and flexible culture to our global and diverse business, we offer opportunities not only to help you reach your potential but also to contribute to our clients’ achievements. Come join us in delivering better outcomes for our clients around the world! At Franklin Templeton, everything we do is focused on one thing – delivering better client outcomes. We do that by partnering closely with our clients, assessing their strategic needs, and identifying the solution or solutions that can meet the challenge. Over 9,500 employees working in 30 countries around the world are dedicated to servicing investment solutions for our clients in more than 155 countries. For more than 75 years our success has been a direct result of the talent, skills and persistence of our people, and we are looking for qualified candidates to join our team. What is the Data Scientist in FTT Digital Technology group responsible for? As a Data Scientist, you will play a critical role in leveraging data analytics to tackle business challenges and drive insights. Your responsibilities will include working on machine learning models and applying advanced analytics techniques to solve problems and support decision-making. You will be involved in various aspects of the data pipeline, from collection to analysis, and will contribute to the development of data-driven solutions. You’ll work under the guidance of senior team members, gaining hands-on experience and growing your skills in both traditional and innovative data science methodologies What are the ongoing responsibilities of a Data Scientist? Data Collection And Preprocessing Implement data collection strategies to gather relevant data from different sources. Clean, preprocess, and validate data to ensure accuracy and reliability for subsequent analysis. Assist in maintaining and enhancing data pipelines in collaboration with data engineering teams. Statistical Analysis Perform exploratory data analysis to identify trends, patterns, and insights within datasets. Apply basic statistical techniques to test hypotheses, validate assumptions, and draw conclusions from data. Machine Learning And AI Model Development Develop and optimize machine learning models to address business problems and improve processes. Explore and apply Generative AI techniques under the supervision of senior team members to contribute to innovative solutions. Assist in model evaluation, validation, and deployment, monitoring performance and making adjustments as needed. Understanding Human Behavior For AI Applications Analyze data related to human behavior to help develop models that predict and influence outcomes. Work with domain experts to incorporate insights into AI models, enhancing their relevance and accuracy. Data Engineering Collaboration Collaborate with data engineering teams to ensure smooth integration of models into existing data systems. Contribute to designing and implementing scalable data storage solutions. Cross-functional Collaboration Work with product management, marketing, and business stakeholders to understand requirements and provide data-driven insights. Communicate analytical concepts and insights effectively to non-technical stakeholders through reports and visualizations. Continuous Learning And Innovation Stay updated on the latest developments in data science, machine learning, and AI technologies. Experiment with new methodologies and tools to enhance project outcomes and expand your skill set. What ideal qualifications, skills & experience would help someone to be Successful? Master’s or Bachelor’s degree in Statistics, Mathematics, Econometrics, Computer Science, Engineering, or related disciplines 2-4 years of experience in data science, predictive modeling, and machine learning. Proficiency in Python, R, or SQL, with hands-on experience in data analysis and model development. Basic knowledge of Generative AI models and their applications Ability to translate business problems into analytical tasks. Skill in explaining statistical and machine learning techniques to business partners. Experience in creating data-driven stories and insights. Proficiency in handling large datasets, including data cleansing, manipulation, and mining. Capability to tackle ambiguous challenges with a problem-solving mindset. Curiosity and willingness to learn independently. Strong written and verbal communication skills. Effective organizational and planning abilities Ability to work well under pressure and adapt in a dynamic environment. Team-oriented approach with a capacity to work independently when needed. Strong interpersonal skills and the ability to build relationships with colleagues and stakeholders Job Level - Individual Contributor Work Shift Timing - 2:00 PM - 11:00 PM IST Experience our welcoming culture and reach your professional and personal potential! Our culture is shaped by our diverse global workforce and strongly held core values. Regardless of your interests, lifestyle, or background, there’s a place for you at Franklin Templeton. We provide employees with the tools, resources, and learning opportunities to help them excel in their career and personal life. Hear more from our employees By joining us, you will become part of a culture that focuses on employee well-being and provides multidimensional support for a positive and healthy lifestyle. We understand that benefits are at the core of employee well-being and may vary depending on individual needs. Whether you need support for maintaining your physical and mental health, saving for life’s adventures, taking care of your family members, or making a positive impact in your community, we aim to have them covered. Highlights Of Our Benefits Include Professional development growth opportunities through in-house classes and over 150 Web-based training courses An educational assistance program to financially help employees seeking continuing education Medical, Life and Personal Accident Insurance benefit for employees. Medical insurance also cover employee’s dependents (spouses, children and dependent parents) Life insurance for protection of employees’ families Personal accident insurance for protection of employees and their families Personal loan assistance Employee Stock Investment Plan (ESIP) 12 weeks Paternity leave Onsite fitness center, recreation center, and cafeteria Transport facility Child day care facility for women employees Cricket grounds and gymnasium Library Health Center with doctor availability HDFC ATM on the campus Learn more about the wide range of benefits we offer at Franklin Templeton Franklin Templeton is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all applicants and existing employees, and we evaluate qualified applicants without regard to ancestry, age, color, disability, genetic information, gender, gender identity, or gender expression, marital status, medical condition, military or veteran status, national origin, race, religion, sex, sexual orientation, and any other basis protected by federal, state, or local law, ordinance, or regulation. Franklin Templeton is committed to fostering a diverse and inclusive environment. If you believe that you need an accommodation or adjustment to search for or apply for one of our positions, please send an email to accommodations@franklintempleton.com. In your email, please include the accommodation or adjustment you are requesting, the job title, and the job number you are applying for. It may take up to three business days to receive a response to your request. Please note that only accommodation requests will receive a response. Show more Show less

Machine Learning Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship Application Deadline: 18th May 2025 About WebBoost Solutions by UM WebBoost Solutions by UM provides students and graduates with hands-on learning and career growth opportunities in machine learning and data science . Role Overview As a Machine Learning Intern , you’ll work on real-world projects , gaining practical experience in machine learning and data analysis . Responsibilities ✅ Design, test, and optimize machine learning models. ✅ Analyze and preprocess datasets. ✅ Develop algorithms and predictive models for various applications. ✅ Use tools like TensorFlow, PyTorch, and Scikit-learn . ✅ Document findings and create reports to present insights. Requirements 🎓 Enrolled in or graduate of a relevant program (AI, ML, Data Science, Computer Science, or related field). 📊 Knowledge of machine learning concepts and algorithms . 🐍 Proficiency in Python or R (preferred). 🤝 Strong analytical and teamwork skills . Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) ✔ Practical machine learning experience . ✔ Internship Certificate & Letter of Recommendation . ✔ Build your portfolio with real-world projects . How to Apply 📩 Submit your application by 18th May 2025 with the subject: "Machine Learning Intern Application" . Equal Opportunity WebBoost Solutions by UM is an equal opportunity employer , welcoming candidates from all backgrounds . Show more Show less

Machine Learning Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship Application Deadline: 18t h May 2025 About WebBoost Solutions by UM WebBoost Solutions by UM provides students and graduates with hands-on learning and career growth opportunities in machine learning and data science . Role Overview As a Machine Learning Intern , you’ll work on real-world projects , gaining practical experience in machine learning and data analysis . Responsibilities ✅ Design, test, and optimize machine learning models. ✅ Analyze and preprocess datasets. ✅ Develop algorithms and predictive models for various applications. ✅ Use tools like TensorFlow, PyTorch, and Scikit-learn . ✅ Document findings and create reports to present insights. Requirements 🎓 Enrolled in or graduate of a relevant program (AI, ML, Data Science, Computer Science, or related field). 📊 Knowledge of machine learning concepts and algorithms . 🐍 Proficiency in Python or R (preferred). 🤝 Strong analytical and teamwork skills . Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) ✔ Practical machine learning experience . ✔ Internship Certificate & Letter of Recommendation . ✔ Build your portfolio with real-world projects . How to Apply 📩 Submit your application by 18th May 2025 with the subject: "Machine Learning Intern Application" . Equal Opportunity WebBoost Solutions by UM is an equal opportunity employer , welcoming candidates from all backgrounds . Show more Show less

Job Title: Data Science Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship About WebBoost Solutions by UM WebBoost Solutions by UM provides aspiring professionals with hands-on experience in data science , offering real-world projects to develop and refine their analytical and machine learning skills for a successful career. Responsibilities ✅ Collect, preprocess, and analyze large datasets. ✅ Develop predictive models and machine learning algorithms . ✅ Perform exploratory data analysis (EDA) to extract meaningful insights. ✅ Create data visualizations and dashboards for effective communication of findings. ✅ Collaborate with cross-functional teams to deliver data-driven solutions . Requirements 🎓 Enrolled in or graduate of a program in Data Science, Computer Science, Statistics, or a related field . 🐍 Proficiency in Python or R for data analysis and modeling. 🧠 Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) . 📊 Familiarity with data visualization tools (Tableau, Power BI, or Matplotlib) . 🧐 Strong analytical and problem-solving skills. 🗣 Excellent communication and teamwork abilities. Stipend & Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based). ✔ Hands-on experience in data science projects . ✔ Certificate of Internship & Letter of Recommendation . ✔ Opportunity to build a strong portfolio of data science models and applications. ✔ Potential for full-time employment based on performance. How to Apply 📩 Submit your resume and a cover letter with the subject line "Data Science Intern Application." 📅 Deadline: 18th May 2025 Equal Opportunity WebBoost Solutions by UM is committed to fostering an inclusive and diverse environment and encourages applications from all backgrounds. Let me know if you need any modifications! 🚀 Show more Show less

Machine Learning Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship Application Deadline: 18th May 2025 About WebBoost Solutions by UM WebBoost Solutions by UM provides students and graduates with hands-on learning and career growth opportunities in machine learning and data science . Role Overview As a Machine Learning Intern , you’ll work on real-world projects , gaining practical experience in machine learning and data analysis . Responsibilities ✅ Design, test, and optimize machine learning models. ✅ Analyze and preprocess datasets. ✅ Develop algorithms and predictive models for various applications. ✅ Use tools like TensorFlow, PyTorch, and Scikit-learn . ✅ Document findings and create reports to present insights. Requirements 🎓 Enrolled in or graduate of a relevant program (AI, ML, Data Science, Computer Science, or related field). 📊 Knowledge of machine learning concepts and algorithms . 🐍 Proficiency in Python or R (preferred). 🤝 Strong analytical and teamwork skills . Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) ✔ Practical machine learning experience . ✔ Internship Certificate & Letter of Recommendation . ✔ Build your portfolio with real-world projects . How to Apply 📩 Submit your application by 18th May 2025 with the subject: "Machine Learning Intern Application" . Equal Opportunity WebBoost Solutions by UM is an equal opportunity employer , welcoming candidates from all backgrounds . Show more Show less

Job Title: Data Science Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship About WebBoost Solutions by UM WebBoost Solutions by UM provides aspiring professionals with hands-on experience in data science , offering real-world projects to develop and refine their analytical and machine learning skills for a successful career. Responsibilities ✅ Collect, preprocess, and analyze large datasets. ✅ Develop predictive models and machine learning algorithms . ✅ Perform exploratory data analysis (EDA) to extract meaningful insights. ✅ Create data visualizations and dashboards for effective communication of findings. ✅ Collaborate with cross-functional teams to deliver data-driven solutions . Requirements 🎓 Enrolled in or graduate of a program in Data Science, Computer Science, Statistics, or a related field . 🐍 Proficiency in Python or R for data analysis and modeling. 🧠 Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) . 📊 Familiarity with data visualization tools (Tableau, Power BI, or Matplotlib) . 🧐 Strong analytical and problem-solving skills. 🗣 Excellent communication and teamwork abilities. Stipend & Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based). ✔ Hands-on experience in data science projects . ✔ Certificate of Internship & Letter of Recommendation . ✔ Opportunity to build a strong portfolio of data science models and applications. ✔ Potential for full-time employment based on performance. How to Apply 📩 Submit your resume and a cover letter with the subject line "Data Science Intern Application." 📅 Deadline: 18th May 2025 Equal Opportunity WebBoost Solutions by UM is committed to fostering an inclusive and diverse environment and encourages applications from all backgrounds. Let me know if you need any modifications! 🚀 Show more Show less