Experience: 3+ Years Skills needed : Core Python, LLM, Generative AI ,fast API Job location - Ahmedabad (Work from office) Minimum of (3+) years of experience in AI-based application development. Fine-tune pre-existing models to improve performance and accuracy. Experience with TensorFlow or PyTorch, Scikit-learn, or similar ML frameworks and familiarity with APIs like OpenAI or vertex AI Experience with NLP tools and libraries (e.g., NLTK, SpaCy, GPT, BERT). Implement frameworks like LangChain, Anthropic Constitutional AI, OpenAIs, Hugging Face, and Prompt Engineering techniques to build robust and scalable AI applications. Evaluate and analyze RAG solution and Utilise the best-in-class LLM to define customer experience solutions (Fine tune Large Language models (LLM)). Architect and develop advanced generative AI solutions leveraging state-of-the-art language models (LLMs) such as GPT, Llama, Palm, BLOOM, and others. Strong understanding and experience with open-source multimodal LLM models to customize and create solutions. Explore and implement cutting-edge techniques like Few-Shot Learning, Reinforcement Learning, Multi-Task Learning, and Transfer Learning for AI model training and fine-tuning. Proficiency in data pre-processing, feature engineering, and data visualization using tools like Pandas, NumPy, and Matplotlib. Optimize model performance through experimentation, hyperparameter tuning, and advanced optimization techniques. Proficiency in Python with the ability to get hands-on with coding at a deep level. Develop and maintain APIs using Python's FastAPI, Flask, or Django for integrating AI capabilities into various systems. Ability to write optimized and high-performing scripts on relational databases (e.g., MySQL, PostgreSQL) or non-relational database (e.g., MongoDB or Cassandra) Enthusiasm for continuous learning and professional development in AI and rleated technologies. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Knowledge of cloud services like AWS, Google Cloud, or Azure. Proficiency with version control systems, especially Git. Familiarity with data pre-processing techniques and pipeline development for Al model training. Experience with deploying models using Docker, Kubernetes Experience with AWS Bedrock, and Sagemaker is a plus Strong problem-solving skills with the ability to translate complex business problems into Al solutions. Show more Show less

Good understanding of Python. Experience with at least one Python web framework (e.g., Django, Flask, FastAPI). Good exposure on python scientific libraries ( Numpy, Pandas, Tensorflow). Strong knowledge on data structures and designing for performance, scalability and availability Knowledge in MongoDB and Web services. Experience in Microservices, Big data technologies will be a plus. Good grasp of algorithms, memory management and multithreaded programming. Good to have - Mysql, Redis, ElasticSearch. Able to fit in well within an informal startup environment and to provide hands-on management. High energy level and untiring commitment to drive oneself & the team towards goals. Basic understanding HTML, CSS, JavaScript, JQuery, JS Libraries. Implementing SOAP based and RESTful services. UNIX/LINUX experience is an added advantage. Should have experience in Database & SQL. Good understanding of server-side templating languages such as Jinja 2, Mako, etc. Strong unit test and debugging skills. Proficient understanding of code versioning tools (such as Git, Mercurial or SVN). Write reusable, testable, and efficient python code. Design and implement of low-latency, high-availability, and performant applications. Integration of user-facing elements developed by front-end developers with server side logic. Implementation of security and data protection. Integration of data storage solutions. Performance tuning, improvement, balancing, usability, automation. Work collaboratively with design team to understand end user requirements to provide technical solutions and for the implementation of new software features. Show more Show less

Good understanding of Python. Experience with at least one Python web framework (e.g., Django, Flask, FastAPI). Good exposure on python scientific libraries ( Numpy, Pandas, Tensorflow). Strong knowledge on data structures and designing for performance, scalability and availability Knowledge in MongoDB and Web services. Experience in Microservices, Big data technologies will be a plus. Good grasp of algorithms, memory management and multithreaded programming. Good to have - Mysql, Redis, ElasticSearch. Able to fit in well within an informal startup environment and to provide hands-on management. High energy level and untiring commitment to drive oneself & the team towards goals. Basic understanding HTML, CSS, JavaScript, JQuery, JS Libraries. Implementing SOAP based and RESTful services. UNIX/LINUX experience is an added advantage. Should have experience in Database & SQL. Good understanding of server-side templating languages such as Jinja 2, Mako, etc. Strong unit test and debugging skills. Proficient understanding of code versioning tools (such as Git, Mercurial or SVN). Write reusable, testable, and efficient python code. Design and implement of low-latency, high-availability, and performant applications. Integration of user-facing elements developed by front-end developers with server side logic. Implementation of security and data protection. Integration of data storage solutions. Performance tuning, improvement, balancing, usability, automation. Work collaboratively with design team to understand end user requirements to provide technical solutions and for the implementation of new software features. Show more Show less

Required minimum 7 years of experience in system administration. Design, build, and maintain secure IT infrastructure tailored for healthcare environments, ensuring compliance with healthcare data protection standards (e.g., HIPAA or local regulations) . Knowledge of Cloud Infrastructure management (AWS, Azure, GCP) within healthcare setups. Implement strong security protocols to safeguard sensitive healthcare data , including patient records and critical systems. Maintain, upgrade, and support software, hardware, and networks to ensure uninterrupted healthcare operations. Knowledge of healthcare compliance standards such as HIPAA, ISO 27001, or NABH IT Guidelines. Manage and lead a team of system administrators, offering guidance, mentorship, and technical training. Troubleshoot and resolve complex technical issues promptly , with availability for after-hours support for critical systems. Administer and maintain server hardware and software, operating systems (Windows, Linux, Mac), and scripting tools (PowerShell, Bash). Configure and secure Fortinet and Sophos firewalls, VPNs, local servers, and networking equipment. Perform system backups, disaster recovery procedures, and malware protection to ensure data integrity and business continuity. Collaborate with various departments to understand and resolve technical concerns efficiently. Develop and enforce IT policies and procedures aligned with healthcare industry standards and compliance. Conduct regular security audits, manage software patches, and ensure regulatory and internal policy adherence . Ensure infrastructure is scalable, resilient, and capable of supporting future healthcare data and system growth. Proficiency in server environments, firewall configuration (Fortinet preferred), VPN, endpoint security, and data backup systems . Excellent analytical, troubleshooting, and communication skills. Good to have if you have certifications such as CCNA, CCNP, Fortinet NSE, RHCE, Microsoft Certified: Azure or GCP Administrator Associate, or CompTIA Security+. Experience working with electronic health record (EHR) systems or health information systems (HIS). Show more Show less

● Minimum of (4+) years of experience in AI-based application development. ● Fine-tune pre-existing models to improve performance and accuracy. ● Experience with TensorFlow or PyTorch, Scikit-learn, or similar ML frameworks and familiarity with APIs like OpenAI or vertex AI ● Experience with NLP tools and libraries (e.g., NLTK, SpaCy, GPT, BERT). ● Implement frameworks like LangChain, Anthropics Constitutional AI, OpenAIs, Hugging Face, and Prompt Engineering techniques to build robust and scalable AI applications. ● Evaluate and analyze RAG solution and Utilise the best-in-class LLM to define customer experience solutions (Fine tune Large Language models (LLM)). ● Architect and develop advanced generative AI solutions leveraging state-of-the-art language models (LLMs) such as GPT, LLaMA, PaLM, BLOOM, and others. ● Strong understanding and experience with open-source multimodal LLM models to customize and create solutions. ● Explore and implement cutting-edge techniques like Few-Shot Learning, Reinforcement Learning, Multi-Task Learning, and Transfer Learning for AI model training and fine-tuning. ● Proficiency in data preprocessing, feature engineering, and data visualization using tools like Pandas, NumPy, and Matplotlib. ● Optimize model performance through experimentation, hyperparameter tuning, and advanced optimization techniques. ● Proficiency in Python with the ability to get hands-on with coding at a deep level. ● Develop and maintain APIs using Python's FastAPI, Flask, or Django for integrating AI capabilities into various systems. ● Ability to write optimized and high-performing scripts on relational databases (e.g., MySQL, PostgreSQL) or non-relational database (e.g., MongoDB or Cassandra) ● Enthusiasm for continuous learning and professional developement in AI and leated technologies. ● Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. ● Knowledge of cloud services like AWS, Google Cloud, or Azure. ● Proficiency with version control systems, especially Git. ● Familiarity with data pre-processing techniques and pipeline development for Al model training. ● Experience with deploying models using Docker, Kubernetes ● Experience with AWS Bedrock, and Sagemaker is a plus ● Strong problem-solving skills with the ability to translate complex business problems into Al solutions. Show more Show less

MindInventory is a leading digital transformation company in Ahmedabad that helps businesses of all sizes adopt cutting-edge technologies to achieve their digital ambitions. We are committed to providing practical tech solutions that drive growth with measurable results. Experience: 3-5 Years Location: Ahmedabad, Gujarat Type: Full time, Work From Office Roles And Responsibilities Write reusable, testable, and efficient code. Design and implement of low-latency, high-availability, and performant applications. Integration of user-facing elements developed by front-end developers with server side logic. Implementation of security and data protection. Integration of data storage solutions. Performance tuning, improvement, balancing, usability, automation. Work collaboratively with design team to understand end user requirements to provide technical solutions and for the implementation of new software features. Good understanding of Python, Django and Flask. Good exposure on python scientific libraries ( Numpy, Pandas, Tensorflow). Strong knowledge on data structures and designing for performance, scalability and availability Knowledge in MongoDB and Web services. Experience in Microservices, Big data technologies will be a plus. Good grasp of algorithms, memory management and multithreaded programming. Good to have - Mysql, Redis, ElasticSearch. Able to fit in well within an informal startup environment and to provide hands-on management. High energy level and untiring commitment to drive oneself & the team towards goals. Expert in Python, with knowledge of at least one Python web framework (such as Django,Flask,etc). Should have done development on Django and other UI web Frameworks. Basic understanding HTML, CSS, JavaScript, JQuery, JS Libraries like AngularJs. Implementing SOAP based and RESTful services. UNIX/LINUX experience is an added advantage. Should have experience in Database & SQL. Good understanding of server-side templating languages such as Jinja 2, Mako, etc. Strong unit test and debugging skills. Proficient understanding of code versioning tools (such as Git, Mercurial or SVN). Skills:- Python, FastAPI and Microservices Show more Show less

Required minimum 1 year of Experience. Experience on Engine Versions: Unreal Engine 4.27, 5, and above Expertise in both Blueprints and C++ Ability to build scalable and modular gameplay systems Nice understanding of core gameplay architecture Experience working with UMGs Ability to optimize performance for PC and console platforms Familiar with game loop architecture, tick handling, and event-driven programming Capable of writing clean, maintainable, and modular code Experienced in debugging, profiling, and performance analysis Familiar with code versioning tools like Git, Perforce, SVN, or Plastic SCM Ability to integrate and test third-party plugins or systems Passionate about learning and implementing new Unreal Engine features Able to work independently as well as in cross-functional teams Strong communication skills Basic understanding of shader graphs and material system (preferred) Eager to contribute to both game and non-game creative solutions. Experience with simulation projects like training tools, infrastructure planning, or visualization systems. Familiar with animation systems (characters and vehicles) Familiarity with AI systems like Behavior Trees and NavMesh. Understanding of replication and multiplayer mechanics. Experience with Niagara or Cascade particle systems. Show more Show less

● Minimum of (3+) years of experience in AI-based application development. ● Fine-tune pre-existing models to improve performance and accuracy. ● Experience with TensorFlow or PyTorch, Scikit-learn, or similar ML frameworks and familiarity with APIs like OpenAI or vertex AI ● Experience with NLP tools and libraries (e.g., NLTK, SpaCy, GPT, BERT). ● Implement frameworks like LangChain, Anthropics Constitutional AI, OpenAIs, Hugging Face, and Prompt Engineering techniques to build robust and scalable AI applications. ● Evaluate and analyze RAG solution and Utilise the best-in-class LLM to define customer experience solutions (Fine tune Large Language models (LLM)). ● Architect and develop advanced generative AI solutions leveraging state-of-the-art language models (LLMs) such as GPT, LLaMA, PaLM, BLOOM, and others. ● Strong understanding and experience with open-source multimodal LLM models to customize and create solutions. ● Explore and implement cutting-edge techniques like Few-Shot Learning, Reinforcement Learning, Multi-Task Learning, and Transfer Learning for AI model training and fine-tuning. ● Proficiency in data preprocessing, feature engineering, and data visualization using tools like Pandas, NumPy, and Matplotlib. ● Optimize model performance through experimentation, hyperparameter tuning, and advanced optimization techniques. ● Proficiency in Python with the ability to get hands-on with coding at a deep level. ● Develop and maintain APIs using Python's FastAPI, Flask, or Django for integrating AI capabilities into various systems. ● Ability to write optimized and high-performing scripts on relational databases (e.g., MySQL, PostgreSQL) or non-relational database (e.g., MongoDB or Cassandra) ● Enthusiasm for continuous learning and professional developement in AI and leated technologies. ● Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. ● Knowledge of cloud services like AWS, Google Cloud, or Azure. ● Proficiency with version control systems, especially Git. ● Familiarity with data pre-processing techniques and pipeline development for Al model training. ● Experience with deploying models using Docker, Kubernetes ● Experience with AWS Bedrock, and Sagemaker is a plus ● Strong problem-solving skills with the ability to translate complex business problems into Al solutions.

Minimum of (4+) years of experience in AI-based application development. Fine-tune pre-existing models to improve performance and accuracy. Experience with TensorFlow or PyTorch, Scikit-learn, or similar ML frameworks and familiarity with APIs like OpenAI or vertex AI Experience with NLP tools and libraries (e.g., NLTK, SpaCy, GPT, BERT). Implement frameworks like LangChain, Anthropics Constitutional AI, OpenAIs, Hugging Face, and Prompt Engineering techniques to build robust and scalable AI applications. Evaluate and analyze RAG solution and Utilise the best-in-class LLM to define customer experience solutions (Fine tune Large Language models (LLM)). Architect and develop advanced generative AI solutions leveraging state-of-the-art language models (LLMs) such as GPT, LLaMA, PaLM, BLOOM, and others. Strong understanding and experience with open-source multimodal LLM models to customize and create solutions. Explore and implement cutting-edge techniques like Few-Shot Learning, Reinforcement Learning, Multi-Task Learning, and Transfer Learning for AI model training and fine-tuning. Proficiency in data preprocessing, feature engineering, and data visualization using tools like Pandas, NumPy, and Matplotlib. Optimize model performance through experimentation, hyperparameter tuning, and advanced optimization techniques. Proficiency in Python with the ability to get hands-on with coding at a deep level. Develop and maintain APIs using Python's FastAPI, Flask, or Django for integrating AI capabilities into various systems. Ability to write optimized and high-performing scripts on relational databases (e.g., MySQL, PostgreSQL) or non-relational database (e.g., MongoDB or Cassandra) Enthusiasm for continuous learning and professional developement in AI and leated technologies. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Knowledge of cloud services like AWS, Google Cloud, or Azure. Proficiency with version control systems, especially Git. Familiarity with data pre-processing techniques and pipeline development for Al model training. Experience with deploying models using Docker, Kubernetes Experience with AWS Bedrock, and Sagemaker is a plus Strong problem-solving skills with the ability to translate complex business problems into Al solutions.

Minimum of (4+) years of experience in AI-based application development. Fine-tune pre-existing models to improve performance and accuracy. Experience with TensorFlow or PyTorch, Scikit-learn, or similar ML frameworks and familiarity with APIs like OpenAI or vertex AI Experience with NLP tools and libraries (e.g., NLTK, SpaCy, GPT, BERT). Implement frameworks like LangChain, Anthropics Constitutional AI, OpenAIs, Hugging Face, and Prompt Engineering techniques to build robust and scalable AI applications. Evaluate and analyze RAG solution and Utilise the best-in-class LLM to define customer experience solutions (Fine tune Large Language models (LLM)). Architect and develop advanced generative AI solutions leveraging state-of-the-art language models (LLMs) such as GPT, LLaMA, PaLM, BLOOM, and others. Strong understanding and experience with open-source multimodal LLM models to customize and create solutions. Explore and implement cutting-edge techniques like Few-Shot Learning, Reinforcement Learning, Multi-Task Learning, and Transfer Learning for AI model training and fine-tuning. Proficiency in data preprocessing, feature engineering, and data visualization using tools like Pandas, NumPy, and Matplotlib. Optimize model performance through experimentation, hyperparameter tuning, and advanced optimization techniques. Proficiency in Python with the ability to get hands-on with coding at a deep level. Develop and maintain APIs using Python's FastAPI, Flask, or Django for integrating AI capabilities into various systems. Ability to write optimized and high-performing scripts on relational databases (e.g., MySQL, PostgreSQL) or non-relational database (e.g., MongoDB or Cassandra) Enthusiasm for continuous learning and professional developement in AI and leated technologies. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Knowledge of cloud services like AWS, Google Cloud, or Azure. Proficiency with version control systems, especially Git. Familiarity with data pre-processing techniques and pipeline development for Al model training. Experience with deploying models using Docker, Kubernetes Experience with AWS Bedrock, and Sagemaker is a plus Strong problem-solving skills with the ability to translate complex business problems into Al solutions.

Minimum of (3+) years of experience in AI-based application development. Fine-tune pre-existing models to improve performance and accuracy. Experience with TensorFlow or PyTorch, Scikit-learn, or similar ML frameworks and familiarity with APIs like OpenAI or vertex AI Experience with NLP tools and libraries (e.g., NLTK, SpaCy, GPT, BERT). Implement frameworks like LangChain, Anthropics Constitutional AI, OpenAIs, Hugging Face, and Prompt Engineering techniques to build robust and scalable AI applications. Evaluate and analyze RAG solution and Utilise the best-in-class LLM to define customer experience solutions (Fine tune Large Language models (LLM)). Architect and develop advanced generative AI solutions leveraging state-of-the-art language models (LLMs) such as GPT, LLaMA, PaLM, BLOOM, and others. Strong understanding and experience with open-source multimodal LLM models to customize and create solutions. Explore and implement cutting-edge techniques like Few-Shot Learning, Reinforcement Learning, Multi-Task Learning, and Transfer Learning for AI model training and fine-tuning. Proficiency in data preprocessing, feature engineering, and data visualization using tools like Pandas, NumPy, and Matplotlib. Optimize model performance through experimentation, hyperparameter tuning, and advanced optimization techniques. Proficiency in Python with the ability to get hands-on with coding at a deep level. Develop and maintain APIs using Python's FastAPI, Flask, or Django for integrating AI capabilities into various systems. Ability to write optimized and high-performing scripts on relational databases (e.g., MySQL, PostgreSQL) or non-relational database (e.g., MongoDB or Cassandra) Enthusiasm for continuous learning and professional developement in AI and leated technologies. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Knowledge of cloud services like AWS, Google Cloud, or Azure. Proficiency with version control systems, especially Git. Familiarity with data pre-processing techniques and pipeline development for Al model training. Experience with deploying models using Docker, Kubernetes Experience with AWS Bedrock, and Sagemaker is a plus Strong problem-solving skills with the ability to translate complex business problems into Al solutions.

Minimum of (3+) years of experience in AI-based application development. Fine-tune pre-existing models to improve performance and accuracy. Experience with TensorFlow or PyTorch, Scikit-learn, or similar ML frameworks and familiarity with APIs like OpenAI or vertex AI Experience with NLP tools and libraries (e.g., NLTK, SpaCy, GPT, BERT). Implement frameworks like LangChain, Anthropics Constitutional AI, OpenAIs, Hugging Face, and Prompt Engineering techniques to build robust and scalable AI applications. Evaluate and analyze RAG solution and Utilise the best-in-class LLM to define customer experience solutions (Fine tune Large Language models (LLM)). Architect and develop advanced generative AI solutions leveraging state-of-the-art language models (LLMs) such as GPT, LLaMA, PaLM, BLOOM, and others. Strong understanding and experience with open-source multimodal LLM models to customize and create solutions. Explore and implement cutting-edge techniques like Few-Shot Learning, Reinforcement Learning, Multi-Task Learning, and Transfer Learning for AI model training and fine-tuning. Proficiency in data preprocessing, feature engineering, and data visualization using tools like Pandas, NumPy, and Matplotlib. Optimize model performance through experimentation, hyperparameter tuning, and advanced optimization techniques. Proficiency in Python with the ability to get hands-on with coding at a deep level. Develop and maintain APIs using Python's FastAPI, Flask, or Django for integrating AI capabilities into various systems. Ability to write optimized and high-performing scripts on relational databases (e.g., MySQL, PostgreSQL) or non-relational database (e.g., MongoDB or Cassandra) Enthusiasm for continuous learning and professional developement in AI and leated technologies. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Knowledge of cloud services like AWS, Google Cloud, or Azure. Proficiency with version control systems, especially Git. Familiarity with data pre-processing techniques and pipeline development for Al model training. Experience with deploying models using Docker, Kubernetes Experience with AWS Bedrock, and Sagemaker is a plus Strong problem-solving skills with the ability to translate complex business problems into Al solutions.

Bachelor’s degree in Business Administration, Information Technology, Computer Science, or a related field. Minimum 4 years of experience as a Business Analyst, preferably in a software development environment. Strong understanding of software development life cycle (SDLC) methodologies. Proficient in requirements gathering, analysis, and documentation. Excellent communication and interpersonal skills. Ability to work collaboratively in a team environment. Strong analytical and problem-solving abilities. Experience with project management tools and techniques. Knowledge of Agile methodologies is a Must. Familiarity with data analysis tools and techniques. Experience with business process modeling tools (e.g., BPMN). Proficiency in SQL and data visualization tools (e.g., Tableau, Power BI). Understanding of API integrations and web technologies. Collaborate with stakeholders to gather, analyze, and document business requirements. Translate business needs into detailed technical specifications for the development team. Conduct market analysis and competitive research to identify trends and opportunities. Facilitate communication between business users and technical teams to ensure alignment and clarity. Develop use cases, workflow diagrams, and data models to support project requirements. Participate in project planning, development, testing, and implementation phases. Analyze existing business processes and recommend improvements to enhance efficiency and effectiveness. Monitor project progress and report on key metrics to stakeholders. Assist in the creation of training materials and documentation for end-users.

Minimum of (3+) years of experience in AI-based application development. Fine-tune pre-existing models to improve performance and accuracy. Experience with TensorFlow or PyTorch, Scikit-learn, or similar ML frameworks and familiarity with APIs like OpenAI or vertex AI Experience with NLP tools and libraries (e.g., NLTK, SpaCy, GPT, BERT). Implement frameworks like LangChain, Anthropics Constitutional AI, OpenAIs, Hugging Face, and Prompt Engineering techniques to build robust and scalable AI applications. Evaluate and analyze RAG solution and Utilise the best-in-class LLM to define customer experience solutions (Fine tune Large Language models (LLM)). Architect and develop advanced generative AI solutions leveraging state-of-the-art language models (LLMs) such as GPT, LLaMA, PaLM, BLOOM, and others. Strong understanding and experience with open-source multimodal LLM models to customize and create solutions. Explore and implement cutting-edge techniques like Few-Shot Learning, Reinforcement Learning, Multi-Task Learning, and Transfer Learning for AI model training and fine-tuning. Proficiency in data preprocessing, feature engineering, and data visualization using tools like Pandas, NumPy, and Matplotlib. Optimize model performance through experimentation, hyperparameter tuning, and advanced optimization techniques. Proficiency in Python with the ability to get hands-on with coding at a deep level. Develop and maintain APIs using Python's FastAPI, Flask, or Django for integrating AI capabilities into various systems. Ability to write optimized and high-performing scripts on relational databases (e.g., MySQL, PostgreSQL) or non-relational database (e.g., MongoDB or Cassandra) Enthusiasm for continuous learning and professional developement in AI and leated technologies. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Knowledge of cloud services like AWS, Google Cloud, or Azure. Proficiency with version control systems, especially Git. Familiarity with data pre-processing techniques and pipeline development for Al model training. Experience with deploying models using Docker, Kubernetes Experience with AWS Bedrock, and Sagemaker is a plus Strong problem-solving skills with the ability to translate complex business problems into Al solutions.

Minimum of (3+) years of experience in AI-based application development. Fine-tune pre-existing models to improve performance and accuracy. Experience with TensorFlow or PyTorch, Scikit-learn, or similar ML frameworks and familiarity with APIs like OpenAI or vertex AI Experience with NLP tools and libraries (e.g., NLTK, SpaCy, GPT, BERT). Implement frameworks like LangChain, Anthropics Constitutional AI, OpenAIs, Hugging Face, and Prompt Engineering techniques to build robust and scalable AI applications. Evaluate and analyze RAG solution and Utilise the best-in-class LLM to define customer experience solutions (Fine tune Large Language models (LLM)). Architect and develop advanced generative AI solutions leveraging state-of-the-art language models (LLMs) such as GPT, LLaMA, PaLM, BLOOM, and others. Strong understanding and experience with open-source multimodal LLM models to customize and create solutions. Explore and implement cutting-edge techniques like Few-Shot Learning, Reinforcement Learning, Multi-Task Learning, and Transfer Learning for AI model training and fine-tuning. Proficiency in data preprocessing, feature engineering, and data visualization using tools like Pandas, NumPy, and Matplotlib. Optimize model performance through experimentation, hyperparameter tuning, and advanced optimization techniques. Proficiency in Python with the ability to get hands-on with coding at a deep level. Develop and maintain APIs using Python's FastAPI, Flask, or Django for integrating AI capabilities into various systems. Ability to write optimized and high-performing scripts on relational databases (e.g., MySQL, PostgreSQL) or non-relational database (e.g., MongoDB or Cassandra) Enthusiasm for continuous learning and professional developement in AI and leated technologies. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Knowledge of cloud services like AWS, Google Cloud, or Azure. Proficiency with version control systems, especially Git. Familiarity with data pre-processing techniques and pipeline development for Al model training. Experience with deploying models using Docker, Kubernetes Experience with AWS Bedrock, and Sagemaker is a plus Strong problem-solving skills with the ability to translate complex business problems into Al solutions.

• Bachelor’s degree in Marketing, Business, IT, or related field. MBA is a plus. • 5+ years experience in product marketing, preferably in the IT/software industry. • Strong understanding of software products, SaaS, cloud technologies, or IT services. • Proven ability to develop clear product positioning and messaging. • Experience in launching new products and go-to-market execution. • Excellent communication and storytelling skills, both written and verbal. • Analytical mindset with experience using data to drive marketing decisions. • Ability to work cross-functionally with product, sales, and customer success teams. • Familiarity with marketing tools such as CRM (Salesforce), marketing automation (HubSpot, Marketo), analytics, and content management systems. • Experience with B2B technology marketing. • Understanding of Agile product development processes. • Knowledge of SEO, SEM, and digital marketing strategies. • Develop and implement go-to-market strategies for new product launches and feature releases. • Craft clear, compelling product positioning, messaging, and value propositions tailored for different buyer personas. • Conduct market research and competitive analysis to identify market trends, customer needs, and competitor strengths/weaknesses. • Create sales enablement materials such as product presentations, demos, case studies, battle cards, and FAQs. • Collaborate with product management on road-map communication and feedback collection from customers and sales teams. • Plan and execute marketing campaigns (digital, events, webinars, content marketing) to generate product awareness and demand. • Work with the content team to develop blogs, whitepapers, and videos that showcase product benefits. • Analyse marketing performance metrics and customer feedback to optimise strategies and messaging. • Support sales teams with training and resources to effectively sell products. • Act as the voice of the customer internally, ensuring product marketing aligns with customer pain points and goals. • Experience organising webinars, product demos, or industry events.

Conduct thorough online research to identify target companies in the IT services and software product sectors as per task briefs. Identify and extract key decision-makers (e.g., Founders, CXOs, Heads of Engineering/Product/IT, etc.) from these companies. Gather accurate contact details of identified individuals, including: Email addresses (work/personal), Direct phone numbers / mobile numbers, Social media profiles (LinkedIn, Twitter/X, etc.), Professional IDs or handles (if applicable) Format and enter all collected data into pre-defined templates or CRM-ready sheets with 100% accuracy. Complete research tasks shared in a structured list format, adhering to timelines and data quality standards. Perform regular validations to ensure data accuracy, completeness, and relevance before handoff. Coordinate with BDEs/BDMs to refine data requirements and improve the targeting approach over time. Understanding of internet research, data mining, lead generation, or similar roles. Familiarity with tools such as LinkedIn, ZoomInfo, Apollo, Crunchbase, Hunter.io, Skrapp, or similar. Excellent understanding of the tech business landscape (especially IT services and SaaS/software companies). Proficiency in MS Excel/Google Sheets and ability to work with structured templates. Strong attention to detail and ability to meet deadlines consistently. Self-motivated, accountable, and capable of working with minimal supervision. Knowledge of CRM systems like HubSpot, Salesforce, Pipedrive, etc. (Good to have) Experience working in or researching IT services or product-based companies. (Good to have) Basic understanding of outbound prospecting strategies and B2B sales pipelines. (Good to have)

Bachelor’s degree in Business, Marketing, or related field. 1–3 years of experience in SaaS or enterprise product sales, ideally in CRM, HRMS, or project management tools. Familiarity with Indian B2B tech ecosystem. Excellent communication, presentation, and interpersonal skills. Ability to work in a target-driven and fast-paced environment. Strong problem-solving mindset and customer-centric approach. Worked with clients in the tech services, SaaS, or IT industry in India. Experience with CRM tools like HubSpot, Zoho, or Salesforce, Oddo CRM etc Prior exposure to selling customizable software products. Responsible for generating qualified leads, nurturing prospects, and supporting the sales funnel for our modular CRM product targeted at Indian tech companies. Identify, qualify, and generate new business leads through outbound calls, emails, LinkedIn outreach, and industry events. Present product value propositions to potential clients, highlighting modules such as Custom CRM, Project Management, Invoicing, and HR & Payroll systems. Schedule product demos with prospective clients and support the sales process in collaboration with the BDM and technical teams. Maintain up-to-date knowledge of the product and competitive landscape. Regularly update CRM tools with prospect data and sales activities. Build strong relationships with prospects by understanding their pain points and mapping product features to their business needs. Coordinate with marketing for campaign feedback and lead generation initiatives.

Bachelor's degree or equivalent 1–3 years of experience in front office or receptionist roles (preferred in IT/Corporate environment) Excellent communication skills (verbal and written in English) Proficient in MS Office (Word, Excel, Outlook) Pleasant personality, well-groomed, and professional appearance Strong interpersonal and multitasking abilities Ability to handle pressure and manage tasks efficiently Greet and welcome visitors with a positive and professional attitude Manage the front desk and handle all incoming calls, emails, and walk-ins Maintain visitor logs and ensure proper visitor protocols are followed Coordinate with internal departments and schedule meetings as required Manage incoming and outgoing couriers and company correspondence Maintain a clean and organized reception area Assist the HR/Admin department in day-to-day tasks (stationery, ID cards, etc.) Handle basic administrative duties such as filing, printing, and data entry Ensure office supplies and hospitality items are well-stocked Coordinate housekeeping and maintenance requests