generative ai specialist

Job Title: Data Scientist - Generative AI Company: C5i Location: Bangalore, India Employment Type: Full-Time Job Overview C5i, a leading pure-play AI and Analytics provider, is seeking a talented and innovative Data Scientist with a specialisation in Generative AI to join our dynamic team in Bangalore. At C5i, we combine the power of human perspective with cutting-edge AI technology to deliver trustworthy intelligence and drive business impact for some of the world’s largest enterprises. As a Data Scientist, you will be at the forefront of developing next-generation AI solutions, working with multifunctional teams to solve complex challenges for our Fortune 500 clients across Technology, Media, Pharma, CPG, and Banking sectors. This is an exciting opportunity to contribute to our proprietary, industry-recognised platforms and shape the future of AI-assisted decision-making. Responsibilities  <ul><li>Design, develop, and deploy advanced Generative AI models, including Large Language Models (LLMs) and other deep learning architectures.</li><li>Conduct research and implement state-of-the-art algorithms and techniques in Natural Language Processing (NLP), computer vision, and machine learning.</li><li>Collaborate closely with business domain experts and technical teams to translate client requirements into robust, scalable AI solutions.</li><li>Process, cleanse, and analyse large-scale datasets to train, fine-tune, and validate sophisticated models.</li><li>Evaluate model performance, conduct rigorous testing, and iterate on solutions to ensure they meet the highest standards of accuracy and efficiency.</li><li>Contribute to the enhancement of C5i’s proprietary suite of AI products, solutions, and accelerators.</li><li>Stay abreast of the latest advancements and trends in the field of Generative AI and share knowledge with the wider team.</li></ul>Qualifications  <ul><li>Proven commercial experience as a Data Scientist or Machine Learning Engineer, with a strong focus on Generative AI.</li><li>In-depth understanding of deep learning frameworks, particularly transformers, GANs, and VAEs.</li><li>Hands-on proficiency with Python and essential data science libraries such as Pandas, NumPy, and Scikit-learn.</li><li>Strong practical experience with machine learning frameworks like PyTorch, TensorFlow, and Hugging Face.</li><li>Demonstrable experience in developing and fine-tuning Large Language Models (LLMs).</li><li>Familiarity with cloud computing platforms (e.g., AWS, Azure, GCP) and their associated machine learning services.</li><li>A Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Statistics, or a related quantitative field. A PhD is advantageous.</li><li>Excellent analytical and problem-solving skills with a creative and innovative mindset.</li><li>Strong verbal and written communication skills, with the ability to explain complex technical concepts to diverse audiences.</li></ul> What We Offer  <ul><li>The opportunity to work on pioneering AI projects with globally recognised, market-leading clients.</li><li>A supportive and collaborative work culture that fosters continuous learning and professional development.</li><li>The chance to be part of an organisation consistently recognised by industry analysts like Gartner and Forrester for its exceptional AI and Analytics capabilities.</li></ul>

Data Scientist - Gen AI

Syneos Health Commercial Solutions

<div>Description
Role summary
An important role in helping to scale Syneos Health Communications&rsquo; generative AI capabilities. Working centrally across advertising, PR and med comms teams this will involve a mix of technical ability, internal collaboration and advocacy, as well as client facing capability.
This hands-on role will be based in either Europe and US (two roles to be filled), with day-to-day access to internal and client teams, both virtually and face to face in order to participate in meetings, workshops and training as needed.
Responsibilities
Working with central Communications innovation function to drive and scale adoption of cutting-edge generative AI tools and techniques across the Comms business.
Helping to develop and manage existing and future generative AI tools, with an initial focus on retrieval augmented generation (RAG).
Working with internal teams to help educate and support their journey to fully embracing generative AI.
Participating in conversations with Comms clients about these new generative AI approaches, designing and delivering billable client projects.
Experience and skills required
Strong level of knowledge in generative AI and related technologies and techniques, demonstrable level of interest in the latest developments in this field.
Good knowledge of Python, ability to write and edit code, ability to help identify, structure and prep data for input into RAG tools, as well as some front-end developer experience.
Background in computer science and or data science.
Good communication capabilities in terms of being able to explain and educate internal teams around new technologies.
Comfort with and some experience in working in client facing situations, in order to help identify, design and deliver gen AI related projects and pilots.
Excellent problem-solving skills and the ability to think analytically and strategically.
Ability to work independently and manage multiple projects simultaneously.
At Syneos Health, we are dedicated to building a diverse, inclusive and authentic workplace. If your past experience doesn&rsquo;t align perfectly, we encourage you to apply anyway. At times, we will consider transferable skills from previous roles. We also encourage you to join our Talent Network to stay connected to additional career opportunities.
Syneos Health Communications is powered by Syneos Health, a global professional services organisation designed to help the biopharmaceutical industry shorten the distance from lab to life&reg;. We have a proven pedigree in health, with industry titans in every facet of healthcare. This eliminates guesswork and fuels our passion for total, life-changing solutions. At the heart of health, we&rsquo;re uniquely poised to predict what&rsquo;s next and respond to the market&rsquo;s demand for smarter and faster answers. We are able to help our customers make important decisions within their business due to our unique understanding of the complexities that come along with working in the healthcare industry. Syneos Health Communications is able to make the complex, simple.
Work Here Matters Everywhere | How are you inspired to change lives?
Syneos Health companies are affirmative action/equal opportunity employers (Minorities/Females/Veterans/Disabled)</div>

AI Specialist

サイネオス・ヘルス

<div><div><div>Updated: Today 
Location: London, England, United Kingdom 
Job ID: 16448
<div><div>Not ready to apply? 
Join our Talent Network
</div></div><div>Description
Role summary
An important role in helping to scale Syneos Health Communications&rsquo; generative AI capabilities. Working centrally across advertising, PR and med comms teams this will involve a mix of technical ability, internal collaboration and advocacy, as well as client facing capability.
This hands-on role will be based in either Europe and US (two roles to be filled), with day-to-day access to internal and client teams, both virtually and face to face in order to participate in meetings, workshops and training as needed.
Responsibilities
Working with central Communications innovation function to drive and scale adoption of cutting-edge generative AI tools and techniques across the Comms business.
Helping to develop and manage existing and future generative AI tools, with an initial focus on retrieval augmented generation (RAG).
Working with internal teams to help educate and support their journey to fully embracing generative AI.
Participating in conversations with Comms clients about these new generative AI approaches, designing and delivering billable client projects.
Experience and skills required
Strong level of knowledge in generative AI and related technologies and techniques, demonstrable level of interest in the latest developments in this field.
Good knowledge of Python, ability to write and edit code, ability to help identify, structure and prep data for input into RAG tools, as well as some front-end developer experience.
Background in computer science and or data science.
Good communication capabilities in terms of being able to explain and educate internal teams around new technologies.
Comfort with and some experience in working in client facing situations, in order to help identify, design and deliver gen AI related projects and pilots.
Excellent problem-solving skills and the ability to think analytically and strategically.
Ability to work independently and manage multiple projects simultaneously.
At Syneos Health, we are dedicated to building a diverse, inclusive and authentic workplace. If your past experience doesn&rsquo;t align perfectly, we encourage you to apply anyway. At times, we will consider transferable skills from previous roles. We also encourage you to join our Talent Network to stay connected to additional career opportunities.
Syneos Health Communications is powered by Syneos Health, a global professional services organisation designed to help the biopharmaceutical industry shorten the distance from lab to life&reg;. We have a proven pedigree in health, with industry titans in every facet of healthcare. This eliminates guesswork and fuels our passion for total, life-changing solutions. At the heart of health, we&rsquo;re uniquely poised to predict what&rsquo;s next and respond to the market&rsquo;s demand for smarter and faster answers. We are able to help our customers make important decisions within their business due to our unique understanding of the complexities that come along with working in the healthcare industry. Syneos Health Communications is able to make the complex, simple.
Work Here Matters Everywhere | How are you inspired to change lives?
Syneos Health companies are affirmative action/equal opportunity employers (Minorities/Females/Veterans/Disabled)</div></div></div></div>

Infosys

<div><h2 class="jobSectionHeader">Job Description:</h2> 
<ul>
<li>As a Data Scientist you will play a key role in developing and delivering end to end</li>
<li>solutions for AI use cases</li>
<li>By taking up a use case right from the start you will help our</li>
<li>customers define and scope the problem pick the right ML solution and technology as</li>
<li>well as ensure implementation integration and deployment of your solution to</li>
<li>production</li>
<li>You will do so while ensuring that our internal governance processes</li>
<li>technical excellence and best practices are respected</li>
<li>You will also collaborate with</li>
<li>other team members in knowledge sharing as well as continuously improving our way of</li>
<li>working</li></ul> 
<h2 class="jobSectionHeader">
Key Responsibilities:</h2> 
<ul>
<li>Responsibilities</li>
<li>Develop AI applications using state of the art Gen AI technology</li>
<li>Translate business requests into AI applications</li>
<li>Pilot prototypes in production processes to demonstrate their value</li>
<li>Deploy prototypes to production to obtain reliable scalable systems</li>
<li>Present your results in a clear manner and discuss them with multi functional</li>
<li>project teams</li>
<li>Work in close collaboration with business experts e</li>
<li>g</li>
<li>for requirement gathering</li>
<li>data source identification data and process understanding feature engineering</li>
<li>result validation etc</li>
<li>and with other AI engineers in the team e</li>
<li>g</li>
<li>for knowledge</li>
<li>sharing</li></ul> 
<h2 class="jobSectionHeader">
Technical Requirements:</h2> 
<ul>
<li>Technical skills</li>
<li>Strong expertise in Python</li>
<li>Strong knowledge of state of the art AI and statistical methods</li>
<li>Proven proficiency with deploying scalable AI applications to production</li>
<li>Experience using LLM s and commonly used libraries to interact with LLM s</li>
<li>Langchain Llamaindex</li>
<li>Hands on experience with Azure Cloud and Azure Data AI services</li>
<li>Strong Expertise with version control Git GitHub</li>
<li>Expertise with CI CD pipelines and modern software development best practices</li>
<li>Experience with Agentic AI frameworks Langgraph AutoGen CrewAI is a big</li>
<li>plus</li>
<li>Experience with MLOps tools and frameworks e</li>
<li>g</li>
<li>MLflow Kubeflow TFX is a big</li>
<li>plus</li></ul> 
<h2 class="jobSectionHeader">
Preferred Skills:</h2>
Technology-&gt;AI-Data science-&gt;Data Science - Basic,Technology-&gt;AI-Generative AI-&gt;Generative AI - Basic</div>

Data Scientist

Avanade

Job Description
 <div>Introduction:
 
 
To support the needs of our clients, Avanade is actively recruiting and interviewing for the role outlined below as we continue to build on another year of growth in our business. Now, with more than 60,000 employees around the globe, we are positioning our organization to effectively prepare for the future. What does this mean for you? We encourage you to apply and interview for this role without the need to decide now. This allows you to connect with leaders and hiring managers at a pace that works for you and when roles become available, you will be the first to know.
 
 
Our talented AI Engineering team is made up of globally recognized experts - and there's room for more analytical, innovative, client-driven data professionals. If you're passionate about helping clients make better data-driven decisions to tackle their most complex business issues, let's talk. Take your skills to a new level and launch a career where you can truly do what matters.
Key Responsibilities: 
 
Model Development and Deployment:
<ul><li>Evaluate and select appropriate Generative AI models based on business needs, ensuring alignment with use case requirements.
</li><li>Leverage Azure ML,OpenAI APIs, and other Generative AI technologies based on a given design.
</li><li>Implement best practices for model development, training, and deployment pipelines.
</li><li>Create and deploy pipelines for model training, evaluation, and monitoring inAzure ML.
</li><li>Optimize model performance for latency, scalability, and accuracy, ensuring compliance with regulatory and organizational standards. 
</li></ul> 
AI Integration and Innovation:
<ul><li>Integrate Generative AI solutions with enterprise applications, APIs, and data sources.
</li><li>Leverage Azure AI model catalog (Microsoft, OpenAI, Mistral, Meta, etc) APIs to implement conversational AI, document summarization, image generation, or other innovative use cases.
</li><li>Explore advancements in AI/ML technologies, recommending tools, frameworks, and practices to enhance the organization's AI capabilities. 
</li></ul> 
Collaboration and Leadership:
<ul><li>Partner with cross-function al teams, including data engineers, cloud architects, and business analysts, to align AI/ML solutions with business objectives.
</li><li>Communicate complex (Gen) AI concepts to non-technical stakeholders, fostering a culture of innovation and understanding</li></ul></div>
 Qualification
 <div>Technical Skills:
<ul><li>Experience Delivering GenAI (LLMs) solutions, preferably on Azure.
</li><li>Familiar withusing Azure AI library APIs(e.g., GPT, Codex, DALLE) &amp; other frameworks (e.g. Databricks Mosaic) to integrate Generative AI into business workflows.
</li><li>Proficient with at least one programming language, such as Python, PySpark, R, SQL, etc.
</li><li>Knowledge of big data technologies (e.g., Spark, Databricks), TensorFlow, PyTorch are a plus.
</li><li>Knowledge of Azure Cloud services (e.g., Azure AI Platform, Azure Data Factory, Azure Synapse, Azure Cognitive Services) and their integration with ML workflows is a plus.
</li><li>Knowledge of security best practices for AI solutions, including data encryption, access control, and endpoint protection is a plus. 
</li></ul> 
Soft Skills:
<ul><li>Excellent problem-solvin g and analytical thinking skills.
</li><li>Strong communication and presentation skills, with the ability to translate technical concepts into business outcomes.
</li><li>Proven ability to manage multiple stakeholders and prioritize tasks in a fast-paced environment. 
</li></ul> 
Preferred Qualifications:
<ul><li>Experience withGenAI Large Language Models (LLMs) solution development and fine-tuning for domain-specifi c tasks.
</li><li>Certifications in Azure or Databricks (e.g., Azure AI Engineer Associate, Azure Solutions Architect Expert, Databricks ML Professional, Databricks Data Engineer Professional).
</li><li>Familiarity with AI ethics, bias mitigation, and explainability techniques.
</li><li>Prior experience in implementing AI/ML solutions in industries such as healthcare, finance, or retail is a plus.</li></ul></div>

Junior AI Engineer - Based in Netherlands

<div>
 
 Introduction
 
 
 
 To support the needs of our clients, Avanade is actively recruiting and interviewing for the role outlined below as we continue to build on another year of growth in our business. Now, with more than 60,000 employees around the globe, we are positioning our organization to effectively prepare for the future. What does this mean for you? We encourage you to apply and interview for this role without the need to decide now. This allows you to connect with leaders and hiring managers at a pace that works for you and when roles become available, you will be the first to know.
 
 
 Our talented AI Engineering team is made up of globally recognized experts - and there's room for more analytical, innovative, client-driven data professionals. If you're passionate about helping clients make better data-driven decisions to tackle their most complex business issues, let's talk. Take your skills to a new level and launch a career where you can truly do what matters.
 
 
 
 Key Responsibilities
 
 
 
 Model Development and Deployment:
 
 
 <ul>
 <li>
 Evaluate and select appropriate Generative AI models based on business needs, ensuring alignment with use case requirements.
 </li>
 <li>
 Leverage Azure ML,OpenAI APIs, and other Generative AI technologies based on a given design.
 </li>
 <li>
 Implement best practices for model development, training, and deployment pipelines.
 </li>
 <li>
 Create and deploy pipelines for model training, evaluation, and monitoring inAzure ML.
 </li>
 <li>
 Optimize model performance for latency, scalability, and accuracy, ensuring compliance with regulatory and organizational standards.
 
 
 </li>
 </ul>
 
 AI Integration And Innovation
 
 
 
 <ul>
 <li>
 Integrate Generative AI solutions with enterprise applications, APIs, and data sources.
 </li>
 <li>
 Leverage Azure AI model catalog (Microsoft, OpenAI, Mistral, Meta, etc) APIs to implement conversational AI, document summarization, image generation, or other innovative use cases.
 </li>
 <li>
 Explore advancements in AI/ML technologies, recommending tools, frameworks, and practices to enhance the organization's AI capabilities.
 
 
 </li>
 </ul>
 
 Collaboration And Leadership
 
 
 
 <ul>
 <li>
 Partner with cross-functional teams, including data engineers, cloud architects, and business analysts, to align AI/ML solutions with business objectives.
 </li>
 <li>
 Communicate complex (Gen) AI concepts to non-technical stakeholders, fostering a culture of innovation and understanding
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Technical Skills:
 
 
 
 <ul>
 <li>
 Experience Delivering GenAI (LLMs) solutions, preferably on Azure.
 </li>
 <li>
 Familiar withusing Azure AI library APIs(e.g., GPT, Codex, DALLE) &amp; other frameworks (e.g. Databricks Mosaic) to integrate Generative AI into business workflows.
 </li>
 <li>
 Proficient with at least one programming language, such as Python, PySpark, R, SQL, etc.
 </li>
 <li>
 Knowledge of big data technologies (e.g., Spark, Databricks), TensorFlow, PyTorch are a plus.
 </li>
 <li>
 Knowledge of Azure Cloud services (e.g., Azure AI Platform, Azure Data Factory, Azure Synapse, Azure Cognitive Services) and their integration with ML workflows is a plus.
 </li>
 <li>
 Knowledge of security best practices for AI solutions, including data encryption, access control, and endpoint protection is a plus.
 
 
 </li>
 </ul>
 
 Soft Skills
 
 
 
 <ul>
 <li>
 Excellent problem-solving and analytical thinking skills.
 </li>
 <li>
 Strong communication and presentation skills, with the ability to translate technical concepts into business outcomes.
 </li>
 <li>
 Proven ability to manage multiple stakeholders and prioritize tasks in a fast-paced environment.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience withGenAI Large Language Models (LLMs) solution development and fine-tuning for domain-specific tasks.
 </li>
 <li>
 Certifications in Azure or Databricks (e.g., Azure AI Engineer Associate, Azure Solutions Architect Expert, Databricks ML Professional, Databricks Data Engineer Professional).
 </li>
 <li>
 Familiarity with AI ethics, bias mitigation, and explainability techniques.
 </li>
 <li>
 Prior experience in implementing AI/ML solutions in industries such as healthcare, finance, or retail is a plus.
 </li>
 </ul>
</div>

Corecom Consulting

<div>
 
 
 Senior GenAI Data Scientist
 
 
 
 
 
 
 We're supporting a global organization that is already seeing real business impact from Generative AI, with solutions successfully deployed across multiple international markets.
 
 
 They're now looking for a Senior GenAI Data Scientist to join a highly collaborative cross-functional team and help scale these AI solutions globally.
 
 
 This is not a research-only role. You'll be working on production AI systems that are already delivering value, helping to optimize, scale, benchmark and continuously improve them as they expand into new markets.
 
 
 If you enjoy combining hands-on engineering, GenAI innovation and stakeholder engagement, this is an opportunity to work on meaningful AI products at scale.
 
 
 
 
 
 
 What You'll Be Doing
 
 
 <ul>
 <li>
 Taking ownership of existing GenAI workstreams following a structured handover
 </li>
 <li>
 Scaling proven AI solutions into additional international markets
 </li>
 <li>
 Gathering stakeholder feedback and translating business requirements into technical delivery
 </li>
 <li>
 Continuously improving AI systems through experimentation, evaluation and optimization
 </li>
 <li>
 Monitoring the rapidly evolving AI landscape and assessing emerging models
 </li>
 <li>
 Benchmarking models against performance, latency and cost metrics
 </li>
 <li>
 Driving best practice across GenAI development and deployment
 </li>
 <li>
 Collaborating with product, engineering and business stakeholders across multiple teams
 </li>
 <li>
 Documenting solutions, findings and recommendations clearly and effectively
 </li>
 </ul>
 
 
 
 
 
 What We're Looking For
 
 
 <ul>
 <li>
 7+ years' experience as a Data Scientist
 </li>
 <li>
 Strong experience delivering AI and Machine Learning solutions in production environments
 </li>
 <li>
 Advanced Python development skills with a focus on maintainable, production-grade code
 </li>
 <li>
 Experience building and scaling Generative AI solutions
 </li>
 <li>
 Strong understanding of LLM evaluation, benchmarking and optimization
 </li>
 <li>
 Experience with MLOps practices, CI/CD pipelines and model deployment
 </li>
 <li>
 Hands-on experience with Docker and Kubernetes
 </li>
 <li>
 Experience building and consuming APIs
 </li>
 <li>
 Strong stakeholder management and communication skills
 </li>
 <li>
 Comfortable working autonomously within Agile environments
 </li>
 </ul>
 
 
 
 
 
 Key Skills
 
 
 <ul>
 <li>
 Python (Object-Oriented Programming)
 </li>
 <li>
 Generative AI / Large Language Models
 </li>
 <li>
 Model Benchmarking &amp; Evaluation
 </li>
 <li>
 Performance &amp; Latency Optimization
 </li>
 <li>
 MLOps
 </li>
 <li>
 CI/CD
 </li>
 <li>
 Docker
 </li>
 <li>
 Kubernetes
 </li>
 <li>
 API Development
 </li>
 <li>
 Agile Delivery
 </li>
 </ul>
 
 
 
 
 
 Why This Role?
 
 
 <ul>
 <li>
 Fully remote working / occasional site meetings
 </li>
 <li>
 Work on AI products already deployed at scale
 </li>
 <li>
 High level of autonomy and ownership
 </li>
 <li>
 Opportunity to influence the future direction of enterprise GenAI solutions
 </li>
 <li>
 Join a team that is actively investing in AI innovation and adoption
 </li>
 </ul>
 
 
 
 
 If you're passionate about building production-grade AI systems and want to help shape the next generation of GenAI products, we'd love to hear from you.
 
 
 
 
 
 
 Location:
 
 Remote / Netherlands
 
 
 
 Contract:
 
 Interim payroll assignment (No ZZP)
 
 
 
 Duration:
 
 Long-term assignment intended
 
 
 Rate: 95 - 105 per hour OR 140K gross
 
</div>

Senior Data Scientist

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