265 Technical AI jobs in India

What youll achieve:

3 months:

• Participate in MuleSoft Technical Product and Consulting Services training, methodology, and enablement
• Begin participation in field activities with clients by shadowing seasoned architects and practicing enablement gained from training
• Begin to execute MuleSoft implementations for customers and start on your journey to internalize business outcomes and business context relevance to MuleSoft implementation methodologies and approaches
• Complete MuleSoft technical certifications and fully ramp on technology and implementation methodologies; start to develop and contribute subject matter expertise and project deliverables to internal knowledge exchange
• Begin mentorship and guidance of junior Services team members and help to build out our services organization

12 months:

• Continue to lead technical teams through multi-phased delivery projects and provide hands-on delivery guidance to influence standards for development, governance, and operational life cycle
• Evangelize frameworks, project deliverables, best practices/policies and implementations to internal collaboration networks and IP sharing
• Identify opportunities to expand MuleSoft footprint and drive further services and customer service, lead multiple engagements simultaneously, and drive partnerships and cross collaboration with MuleSoft partners, SIs, and 3rd Parties
• Identify ongoing risks and pain points throughout project experiences in the field and contribute to developing and implementing internal mitigation measures to meet customer needs
• Evangelize, train, coach, and mentor Services team members on hard technical skills and soft skills
• Identify opportunities and efficiencies in customers IT operating model, and support implementation of the SLDC pipeline to get greater value out of the MuleSoft platform.
• Lead development of technical brown bag sessions and publish/facilitate reusable content to the field
• Work with MuleSoft product leadership providing valuable product insight, guiding product direction and features.
• Deliver compelling presentations, architectural blueprint documents, andrequirements-gatheringworkshops to influence the strategic direction of our projects and lead customers through solution design

What youll need to be successful:

• Min 10-14 Years of Overall Experience
• 6 years minimum experience leading integration teams and architecting solutions
• Demonstrated experiences architecting services integrations with at least two of the following:
• MuleSoft or other solutions: e.g
• IBM
• BEA
• Oracle Fusion
• TIBCO
• Dell Boomi
• Progress Sonic
• API Management solutions
• etc.
• One or more on-premise/SaaS packaged COTS (Commercial Off-the-Shelf) solutions for ERP, CRM, e-Commerce, or mobile (e.g. Salesforce.com, NetSuite, Oracle, Siebel, SAP, WorkDay, etc.)
• Demonstrated experience managing and architecting for multiple technical integration projects using the Software Development Life Cycle (SDLC) end-to-end, sometimes simultaneously
• Working knowledge ofon-premise/cloud/containerized-basedinfrastructures, SDLC pipelines, anddeployments/configurationsanddefinition/evangelismof best practices/standards
• Demonstrated ability to effectively architect solutions within a diverse technical team of clients, System Integrators (SIs), contractors, and internal teams
• Experience leading technical teams and mentoring junior level resources, consultants, and clients while leading internal initiatives to grow Services organization practices
• Demonstrated experience with High-Availability, Fault-Tolerance, Performance Testing and Tuning parameters on multiple engagements
• Demonstrated expertise in architecting, implementing, and supporting enterprise-grade technical solutions meeting complex business requirements while evangelizing integration methodologies and supporting business case justification to C-level executives
• Experience driving technical workshops with technical and business clients to derive value added services and implementations
• Experience defining full API life-cycle management, from API design and integration development through to deployment, operations and governance
• Willingness to travel regularly to meet customer needs as required
• Full proficiency in English
• Degree or equivalent relevant experience required. Experience will be evaluated based on the core competencies for the role (e.g. extracurricular leadership roles, volunteer roles, work experience, etc.)

• About the Role: We are looking for a highly skilled Senior Salesforce AI developer with over 6 years of experience in Salesforce CRM development and 2 years relevant expertise into developing AI solutions around Sales and Service Cloud using Salesforce Einstein. The ideal candidate will be proficient in leveraging Salesforce Einstein AI capabilities and integrating custom AI models to optimize sales processes, customer engagement, and business operations.As a Salesforce AI Developer, you will collaborate closely with business stakeholders and technical teams to implement intelligent solutions that enhance decision-making and drive business growth. You will lead AI/ML initiatives across the organization, focusing on predictive analytics, automation, and personalized customer interactions within Salesforce.
• Key Responsibilities:
• Lead the design , development , and implementation of AI-driven solutions using Salesforce Einstein features around Sales & Service cloud
• Collaborate with architects and AI engineers to design AI-driven solutions for predictive analytics, customer insights, and automation.
• Lead the integration of open AI models into Salesforce, utilizing languages such as Apex, Python, and Java to enhance Salesforce functionalities and user experience.
• Integrate third-party applications and data sources with Salesforce via APIs
• Collaborate with product managers, data scientists, and developers to ensure successful implementation of AI/ML solutions aligned with business goals.
• Implement automated workflows and intelligent data-driven decision systems within Sales Cloud, Service Cloud, and Marketing Cloud.
• Use Salesforce Einstein for natural language processing (NLP), image recognition, and predictive analytics to enhance customer service and sales strategies.
• Analyze customer data (including purchasing patterns, credit history, and demographics) to identify actionable insights and recommend tailored product offerings.
• Monitor and fine-tune AI models, ensuring accuracy and performance in live environments, and continuously improve them based on feedback and evolving business needs.
• Ensure data security and compliance standards are adhered to when handling sensitive customer information in AI/ML models.
• Key Qualifications:
• 6+ years of overall experience in Salesforce development with at least 2 + years of relevant hands-on experience in Salesforce AI Solutions development.
• Expertise in Salesforce Einstein AI features which includes Sales Cloud Einstein , Service Cloud Einstein , Einstein Copilot, Prompt Builder , Einstein Studio, Einstein Chatbot etc.
• Expertise in customizing applications using Apex, LWC and Lightning Flows
• Experience with data modeling, data integration using REST APIs and handling large datasets within Salesforce.
• Good understanding of machine learning algorithms, including classification, regression, clustering, and time series forecasting.
• Strong understanding of Salesforce architecture, including Sales and Service Cloud features.
• Familiarity with NLP, image recognition, sentiment analysis, and other AI applications to improve customer experience.
• Strong problem-solving skills and the ability to translate complex business needs into actionable AI/ML solutions.
• Strong understanding of natural language processing (NLP) and its application in creating effective AI prompts.
• Knowledge of AI governance, model explainability, and data ethics.
• Knowledge on leveraging large sets of structured and unstructured data to develop data-driven tactical and strategic analytics and insights using ML, NLP solutions
• Preferred Skills (Good to have) :
• Salesforce Certified in one or more areas: Einstein Analytics and Discovery Consultant, Salesforce Platform Developer II, or Salesforce Certified AI Associate.
• Experience in Salesforce Data cloud
• Experience with MLOps practices and automating model training and deployment within Salesforce.
• Experience working in industries such as banking, finance, or e-commerce with a focus on AI-driven customer insights.
• Hands-on experience in deploying and scaling AI models in cloud environments like AWS, Azure, or Salesforce Cloud.
• Experience with Einstein Analytics or Tableau CRM for building AI-driven dashboards and reports.
• Experience in Python, TensorFlow, or PyTorch for developing ML models.
• Experienced with NLP, LLMs (extractive and generative), fine-tuning and LLM model development.

Job Description :

We are seeking a highly skilled Solution Architect Machine Learning - GenAI with a proven track record in large language models, generative AI, cognitive AI, and document processing . This role involves developing and implementing data analyses, data collection systems, and other strategies that optimize efficiency and quality. The ideal candidate will have a strong understanding of Generative AI, Machine Learning, Deep Learning, Natural Language Processing and have experience creating enterprise solutions.

Required Skills:

• 12-16 Years Significant experience in Python and its libraries for data science, Generative AI, and Cognitive AI solutions.
• Minimum of 7 years of experience as a Data Scientist/ML Engineer Expertise in Natural Language Processing, Computer Vision, or Predictive Analytics Proven experience in developing enterprise solutions leveraging AI.
• A masters degree in computer science, Data Science, Mathematics, or a related field. A PhD is preferred.
• Experience in AI solution development on Azure with Azure native services like cognitive services, cognitive search, serverless azure functions, blob storage etc.
• Experience with Prompt Engineering, frameworks like langchain, llama-index and vector databases like chroma DB, weaviate, pinecone etc
• Experience working with structured databases (SQL) and unstructured databases (Mongo DB, Cosmos DB)
• Experience with architecting use-cases related to Conversational AI or Vision AI or AI enabled automation.
• Experience with building knowledge bases with structured and unstructured data
• Strong understanding of machine learning techniques and algorithms.
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
• Excellent written and verbal communication skills for coordinating across teams.

Key Responsibilities:

• Defining, designing, and delivering ML architecture patterns operable in native and hybrid cloud architectures.
• Research, analyze, recommend, and select technical approaches to address challenging development and data integration problems related to ML Model training and deployment in Enterprise Applications.
• Perform research activities to identify emerging technologies and trends that may affect the Data Science/ ML life-cycle management in enterprise application portfolio.
• Leading project teams to develop and implement enterprise solutions for document processing, utilizing cutting-edge technologies like large language models and generative AI including agent based systems.
• Designing and building Knowledge bases and implementing cognitive AI solutions to optimize the efficiency and quality of document analysis.
• Developing AI/ML models in real-world environments and integrating AI/ML using Cloud native or hybrid technologies into large-scale enterprise applications.
• In-depth experience in AI/ML and Data analytics services offered on AWS and/or Microsoft Azure cloud solution and their interdependencies.
• Demonstrated experience developing best practices and recommendations around tools/technologies for ML life-cycle capabilities such as Data collection, Data preparation, Feature Engineering, Model Management, MLOps, Model Deployment approaches and Model monitoring and tuning.
• Collaborating with cross-functional teams, including engineering and product development teams.
• Presenting and explaining information in an accessible way to non-technical team members and stakeholders.

We are looking for a highly skilled Senior Salesforce AI developer with over 6 years of experience in Salesforce CRM development and 2 years relevant expertise into developing AI solutions around Sales and Service Cloud using Salesforce Einstein. The ideal candidate will be proficient in leveraging Salesforce Einstein AI capabilities and integrating custom AI models to optimize sales processes, customer engagement, and business operations.

As a Salesforce AI Developer, you will collaborate closely with business stakeholders and technical teams to implement intelligent solutions that enhance decision-making and drive business growth. You will lead AI/ML initiatives across the organization, focusing on predictive analytics, automation, and personalized customer interactions within Salesforce.

Key Responsibilities:

• Lead the design , development , and implementation of AI-driven solutions using Salesforce Einstein features around Sales & Service cloud
• Collaborate with architects and AI engineers to design AI-driven solutions for predictive analytics, customer insights, and automation.
• Lead the integration of open AI models into Salesforce, utilizing languages such as Apex, Python, and Java to enhance Salesforce functionalities and user experience.
• Integrate third-party applications and data sources with Salesforce via APIs
• Collaborate with product managers, data scientists, and developers to ensure successful implementation of AI/ML solutions aligned with business goals.
• Implement automated workflows and intelligent data-driven decision systems within Sales Cloud, Service Cloud, and Marketing Cloud.
• Use Salesforce Einstein for natural language processing (NLP), image recognition, and predictive analytics to enhance customer service and sales strategies.
• Analyze customer data (including purchasing patterns, credit history, and demographics) to identify actionable insights and recommend tailored product offerings.
• Monitor and fine-tune AI models, ensuring accuracy and performance in live environments, and continuously improve them based on feedback and evolving business needs.
• Ensure data security and compliance standards are adhered to when handling sensitive customer information in AI/ML models.

Key Qualifications:

• 6+ years of overall experience in Salesforce development with at least 2 + years of relevant hands-on experience in Salesforce AI Solutions development.
• Expertise in Salesforce Einstein AI features which includes Sales Cloud Einstein , Service Cloud Einstein , Einstein Copilot, Prompt Builder , Einstein Studio, Einstein Chatbot etc.
• Expertise in customizing applications using Apex, LWC and Lightning Flows
• Experience with data modeling, data integration using REST APIs and handling large datasets within Salesforce.
• Good understanding of machine learning algorithms, including classification, regression, clustering, and time series forecasting.
• Strong understanding of Salesforce architecture, including Sales and Service Cloud features.
• Familiarity with NLP, image recognition, sentiment analysis, and other AI applications to improve customer experience.
• Strong problem-solving skills and the ability to translate complex business needs into actionable AI/ML solutions.
• Strong understanding of natural language processing (NLP) and its application in creating effective AI prompts.
• Knowledge of AI governance, model explainability, and data ethics.
• Knowledge on leveraging large sets of structured and unstructured data to develop data-driven tactical and strategic analytics and insights using ML, NLP solutions

Preferred Skills (Good to have) :

• Salesforce Certified in one or more areas: Einstein Analytics and Discovery Consultant, Salesforce Platform Developer II, or Salesforce Certified AI Associate.
• Experience in Salesforce Data cloud
• Experience with MLOps practices and automating model training and deployment within Salesforce.
• Experience working in industries such as banking, finance, or e-commerce with a focus on AI-driven customer insights.
• Hands-on experience in deploying and scaling AI models in cloud environments like AWS, Azure, or Salesforce Cloud.
• Experience with Einstein Analytics or Tableau CRM for building AI-driven dashboards and reports.
• Experience in Python, TensorFlow, or PyTorch for developing ML models.
• Experienced with NLP, LLMs (extractive and generative), fine-tuning and LLM model development.

Polaris School of Technology, an initiative by Classplus, is a new-age tech school on a mission to build India's tech powerhouse, one skilful mind at a time.

Our 4-year Integrated B.Tech programme features an industry-first curriculum, taught by industry mentors and focused on project-based learning. Located in the Wipro IT Park at the heart of India's Silicon Valley - Bengaluru.

Our Supporters and Advisors include renowned figures like Sourav Ganguly, Kunal Shah (Founder, Cred), Sriharsha Majety (Co-founder, Swiggy), Alvin Tse (ex-Xiaomi President of India), and Deborrah Quazzo (Managing Partner, GSV Ventures).

We are super excited to have new folks on board who can help us expand the universe of PST.

Do you think you have what it takes to help us achieve this? Find out below!

We're seeking a skilled mentor to join our university team onsite in Gurugram. As a mentor, you'll play a vital role in guiding our students in AI/ML.

We're looking for expertise in:

-Artificial Intelligence/Machine Learning
-Python/R/SQL/Java
-Data Structures and Algorithms(DSA)

Responsibilities:

-Mentor students in AI/ML, programming and software development
-Collaborate with faculty members to enhance curriculum design and implementation
-Provide feedback and assessment on student projects and assignments

Requirements:

-Strong expertise in AI/ML, Python/Java/R/SQL, DSA
-Excellent communication, interpersonal, and problem-solving skills
-Ability to work onsite at our university location in Gurugram

If you're passionate about sharing your knowledge and experience with the next generation of tech leaders, we encourage you to apply.

Location: Gurugram

Technical Writer – AI/ML (Contract)

Work Location: Bangalore (Hybrid)

Contract Tenure: 12 Months

About KX

KX software powers the time-aware data-driven decisions that enable fast-moving companies to outpace competitors, realizing the full potential of their AI investments. The KX platform delivers transformational value by addressing data challenges related to completeness, timeliness and efficiency, ensuring companies understand change over time and can achieve faster, more accurate insights at any scale, cost-effectively.

KX is essential to the operations of the world's top investment banks, aerospace and defence, high-tech manufacturing, healthcare and life sciences, automotive and fleet telematics organizations. The company has established offices and a robust customer base across North America, Europe, and Asia Pacific.

Overview Of The Role

KX is hiring a Technical Writer to create and manage clear, user-friendly documentation for our enterprise and AI-based software platforms. This contract role plays a key part in enhancing product adoption and user understanding by working closely with engineers, product managers, and subject-matter experts.

Key Responsibilities

• Create and maintain structured, accessible product documentation (user guides, API docs, release notes)
• Work closely with developers and SMEs to ensure technical accuracy
• Copyedit and review internal content to maintain tone, consistency, and clarity
• Deliver content aligned with product release cycles and stakeholder timelines
• Analyze competitor documentation and user feedback to continuously improve content

Skills

• Technical Writing: Strong experience creating product documentation for technical users
• Tools & Formatting: Proficient with Markdown, Confluence, Git-based documentation tools
• API & Integration Knowledge: Ability to document APIs, SDKs, and cloud-native systems
• AI/ML Awareness: Understanding of LLMs, GenAI frameworks, and ML model documentation
• Financial Services Domain: Experience writing for enterprise platforms in banking or finance
• Collaboration: Skilled at working with developers, QA, and product teams in Agile environments
• Communication: Strong command of English grammar, structure, and clarity

Essential Experience

• 3–6 years of experience in technical writing, preferably in software or data platform environments
• Excellent written communication skills and attention to detail
• Proficiency with documentation tools and Git workflows
• Experience in fast-paced Agile product environments

Preferred Qualifications

• Familiarity with Python, JavaScript, or web technologies (HTML, XML, CSS)
• Experience documenting APIs, cloud-native systems, or AI/ML platforms
• Prior experience with GitHub/GitLab documentation workflows
• Understanding of user personas and onboarding experiences

Location & Workplace Type

Hybrid working model based out of Bangalore

Why Choose KX

Data Driven: We lead with instinct and follow fact.

Naturally Curious: We lean in, listen and learn fast.

All In: We take ownership, take on challenges and give it our all.

Technical Writer – AI/ML (Contract)

Work Location: Bangalore (Hybrid)

Contract Tenure: 12 Months

About KX

KX software powers the time-aware data-driven decisions that enable fast-moving companies to outpace competitors, realizing the full potential of their AI investments. The KX platform delivers transformational value by addressing data challenges related to completeness, timeliness and efficiency, ensuring companies understand change over time and can achieve faster, more accurate insights at any scale, cost-effectively.

KX is essential to the operations of the world's top investment banks, aerospace and defence, high-tech manufacturing, healthcare and life sciences, automotive and fleet telematics organizations. The company has established offices and a robust customer base across North America, Europe, and Asia Pacific.

Overview Of The Role

KX is hiring a Technical Writer to create and manage clear, user-friendly documentation for our enterprise and AI-based software platforms. This contract role plays a key part in enhancing product adoption and user understanding by working closely with engineers, product managers, and subject-matter experts.

Key Responsibilities

• Create and maintain structured, accessible product documentation (user guides, API docs, release notes)
• Work closely with developers and SMEs to ensure technical accuracy
• Copyedit and review internal content to maintain tone, consistency, and clarity
• Deliver content aligned with product release cycles and stakeholder timelines
• Analyze competitor documentation and user feedback to continuously improve content

Skills

• Technical Writing: Strong experience creating product documentation for technical users
• Tools & Formatting: Proficient with Markdown, Confluence, Git-based documentation tools
• API & Integration Knowledge: Ability to document APIs, SDKs, and cloud-native systems
• AI/ML Awareness: Understanding of LLMs, GenAI frameworks, and ML model documentation
• Financial Services Domain: Experience writing for enterprise platforms in banking or finance
• Collaboration: Skilled at working with developers, QA, and product teams in Agile environments
• Communication: Strong command of English grammar, structure, and clarity

Essential Experience

• 3–6 years of experience in technical writing, preferably in software or data platform environments
• Excellent written communication skills and attention to detail
• Proficiency with documentation tools and Git workflows
• Experience in fast-paced Agile product environments

Preferred Qualifications

• Familiarity with Python, JavaScript, or web technologies (HTML, XML, CSS)
• Experience documenting APIs, cloud-native systems, or AI/ML platforms
• Prior experience with GitHub/GitLab documentation workflows
• Understanding of user personas and onboarding experiences

Location & Workplace Type

Hybrid working model based out of Bangalore

Why Choose KX

Data Driven: We lead with instinct and follow fact.

Naturally Curious: We lean in, listen and learn fast.

All In: We take ownership, take on challenges and give it our all.

• Source, screen, and interview candidates for technical roles, with a focus on AI and emerging technologies.
• Develop and execute creative sourcing strategies to attract passive candidates.
• Build and maintain a robust pipeline of qualified candidates for current and future hiring needs.
• Partner closely with hiring managers to understand their requirements and provide market insights.
• Manage the candidate experience throughout the recruitment process, ensuring timely communication and feedback.
• Negotiate offers and facilitate the closing of candidates.
• Utilize Applicant Tracking Systems (ATS) and recruitment tools effectively.
• Stay updated on industry trends, market intelligence, and best practices in technical recruiting.
• Contribute to employer branding initiatives and talent community building.
• Achieve and exceed recruitment targets and KPIs.

• Bachelor's degree in Human Resources, Business Administration, or a related field.
• Minimum of 3 years of experience in technical recruiting, preferably within a recruitment agency or consultancy.
• Proven experience sourcing candidates for AI, Machine Learning, Data Science, or related technical roles.
• Proficiency with various sourcing platforms (e.g., LinkedIn Recruiter, GitHub, Stack Overflow) and ATS.
• Strong understanding of technical concepts and ability to assess technical skills.
• Excellent communication, interpersonal, and negotiation skills.
• Ability to work independently, manage multiple priorities, and meet deadlines in a remote setting.
• Demonstrated ability to build rapport and relationships with candidates and clients.