Required skills:

• Market Product Research Market Analysis Conduct detailed market analysis to identify emerging trends customer needs and potential opportunities.
• This involves analysing industry reports market surveys and customer feedback to gain a comprehensive understanding of the market landscape.
• Competitive Research Regularly monitor and analyse competitors’ products strategies and market positioning.
• This includes assessing their strengths weaknesses opportunities and threats to inform strategic decision-making.
• Product Gap Identification Identify gaps in the current product offerings compared to market demands and competitor products.
• Suggest improvements or new features based on these findings.
• Pricing Research Assist in researching and analysing pricing strategies of competitors and market standards.
• Provide recommendations for pricing models that align with company goals and market acceptability.
• Customer Segmentation and Analysis Analyse customer segments and user personas to understand varying needs and preferences.
• This aids in tailoring products to meet specific customer requirements more effectively.
• Documentation and Reporting Document all research findings in a clear and concise manner.
• Prepare regular reports to share insights with the product development and management teams ensuring that the information is accessible and actionable.
• Product Release Collaborate with the product engineering team to define and meet Product Requirement Document PRD goals.
• Identify and document relevant use-cases for each product release ensuring alignment with market needs and customer expectations.
• POC Technical Workshop Manage POC Technical workshop along with sales from technical product POV along with POC feedback post POC Help sales with collaterals like product videos customer videos compete documents etc. Most of the collaterals to be created by marketing team.

Required skills:

• Degree in Math’s, Computer Science, or a related field.
• A fresher with extra ordinary programming logic building capabilities, in depth understanding, experience of product development and ability to handle the most challenging tasks in building next generation products.
• Quick learner with a great attitude and should be willing to learn new technology.
• Proven Hands-on with projects in Data Science, data mining, Machine Learning or similar role, 2+ years of expertise applying AI to practical uses, must have skills in pattern recognition and predictive modelling.
• In-depth knowledge of Python programming, mathematics, statistics, and algorithms.
• Ability to Understanding, Study, build and transform data science prototypes and apply appropriate machine learning algorithms and tools; Develop and maintain complex data pipelines, including data preprocessing, feature extraction, model training, and evaluation
• Knowledge of Data Structures, Algorithms and Database (MS SQL/MySQL/Oracle).
• Knowledge of Agile and Scrum development methodologies.
• Strong problem-solving and communication skills.

Required skills:

• 3+ years of experience in Infrastructure / DevOps engineering with exposure to supporting AI/ML workloads.
• Hands-on experience with containerization and orchestration tools such as Docker, Podman, and Kubernetes.
• Strong knowledge of CI/CD implementation and automation pipelines.
• Knowledge of SQL and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB, Cassandra, Redis).
• Proficiency in Linux system administration, including performance tuning and monitoring.
• Good understanding of networking, load balancing, and security best practices for AI/ML systems.
• Scripting and automation skills using Python and Bash.
• Experience working with hybrid cloud environments (cloud + on-premises), including provisioning and monitoring AI/ML workloads.

Required skills:

• Minimum 5+ years’ hands-on experience building AI-powered chatbots from scratch using RASA open-source framework
• Experience in Conversational AI platform for enterprises using NLP, ML and Deep Learning.
• Knowledge of building LLM, training from Scratch and fine tuning LLM for domain specific use-cases. Especially for tool call, multiturn dialogues and state management.
• Knowledge of building domain specific custom LLM guardrails. Strong understanding of NLP/NLU techniques along with understanding of embeddings.
• Strong foundation in the python programming language and expertise in Python, Algorithms and data handling skills.
• Must have Hands-on implementation experience of Rest API dev framework Django, Fast API, Flask.
• Working knowledge of data science tools and methodologies, including machine learning and predictive modelling.
• Experience with orchestration engines like Kubernetes Docker Podman etc and CI-CD implementation.
• Solid Knowledge of SQL and NoSQL Databases such as MySQL, MongoDB, Cassandra, Redis, PostgreSQL.

Workelevate is inviting applications for its 2-Year AI Trainee Program designed to jumpstart careers in Artificial Intelligence and Data Science. As an AI Trainee, you will gain hands-on experience in AI/ML model development, data analysis, and automation solutions while working closely with experienced mentors.
This structured program will provide comprehensive exposure to real-world AI projects, cutting-edge tools, and enterprise applications, preparing you for a long-term career in AI and Data Science.

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