machine learning lead

ESAB

<div><div>Job Description:</div><div>
Machine Learning Lead</div><div></div><div>
Ready to shape the future of AI? ESAB is now looking for a Machine Learning Engineer to join our newly established AI R&amp;D team &mdash; a unique opportunity to be part of something from the very beginning. You&rsquo;ll help define how we work, influence the technical direction, and collaborate with top experts to build intelligent solutions that make a difference across the entire organization. Are you ready to be part of this journey? Apply now!</div><div></div><div>
Job description:</div><div><br>
As a Machine Learning Engineer, you&rsquo;ll play a key role in building scalable ML solutions that drive impact across product development, operations, finance, and services. You&rsquo;ll work hands-on with cutting-edge technologies, collaborate with cross-functional teams, and lead initiatives that bring AI from concept to production. You&rsquo;ll report to the AI R&amp;D Leader and work closely with solution architects, process automation engineers, external consultants, and business teams.</div><div></div><div>
Your responsibilities will include:</div><div></div><div><ul><li><br>
Designing and maintaining end-to-end ML pipelines &mdash; from data ingestion and preprocessing to model training, deployment, and monitoring.</li><li>Fine-tuning LLMs and other models for ESAB-specific use cases.</li><li>Ensuring infrastructure scalability and security in close collaboration with IT and Digital Solutions.</li><li>Leading workshops with business stakeholders to identify high-value ML opportunities.</li><li>Translating business needs into structured ML problem statements with clear ROI.</li><li>Working with solution architects to embed ML models into business applications.</li><li>Acting as an internal ambassador for ML, promoting best practices and raising awareness.</li></ul></div><div></div><div>
What you'll need to succeed:</div><div><br>
We&rsquo;re looking for a Machine Learning Lead with at least 7+ years of relevant work experience, who combines solid technical skills with a strong understanding of how AI and machine learning can create business value. You have a proactive, self-driven mindset &mdash; you take initiative, work independently, and thrive in dynamic environments.</div><div>
Ideally you have:<br>
<ul><li>M.Sc. Computer Science, Data Engineering, or a related field.</li><li>Hands-on experience working with machine learning frameworks and tools and cloud platforms.</li><li>Familiarity with how AI systems are designed, trained, and refined &mdash; including working with various types of input data.</li><li>Experience building APIs for ML model integration into business applications.</li><li>Comfortable working with data throughout its lifecycle &mdash; from collection and preparation to analysis and modeling.</li><li>Experience integrating ML solutions into business applications or workflows.</li><li>Ability to lead conversations with stakeholders and translate business needs into AI-driven solutions.</li><li>Strong communication skills &mdash; you can explain technical concepts clearly and tell compelling stories with data.</li></ul></div><div></div><div>
About ESAB:</div><div><br>
ESAB is a global leader in welding and cutting technology, with over 100 years of experience in innovation and technical development. Founded in 1904 in Gothenburg, the company now operates in more than 150 countries. ESAB offers a wide range of products and solutions for manual and automated welding, filler materials, and industrial cutting equipment. With a strong presence in Sweden &mdash; including manufacturing facilities in Perstorp and Lax&aring; &mdash; ESAB combines global reach with local expertise, maintaining a clear focus on quality, safety, and sustainability.</div></div>

Machine Learning Lead

Immersive Infotech Pvt Ltd

<p>We&rsquo;re looking for an experienced Data Science Lead (7&ndash;10+ years) to join our growing team and drive end-to-end Machine Learning strategy and implementation across enterprise-scale projects.</p><p>Role Details:Position: Data Science Lead</p><p>Experience: 7 to 10+ Years</p><p>Location: Noida / Bangalore (Hybrid / Onsite depending on project)</p><p>LinkedIn Profile: Mandatory</p><p>Key Responsibilities:Define Machine Learning and Deep Learning strategies for large-scale predictive and propensity models.Architect and deploy AI solutions on Azure, AWS, or GCP using Spark, Ray, or Databricks.Implement Explainable AI (SHAP, LIME, Captum) to ensure model transparency and compliance.Design and oversee A/B testing, uplift modeling, and causal inference frameworks.Build data pipelines with Airflow/Prefect and manage experiment tracking via MLflow &amp; DVC.</p><p>Drive MLOps readiness &mdash; including CI/CD, monitoring, and rollback strategies.Present findings through data storytelling that drives real business outcomes.Mentor and lead data science teams, enforcing best practices and scalable solutions.</p><p>Required Skills:7&ndash;10+ years in Data Science with at least 4+ years in leadership or production ML/DL roles.</p><p>Proficient in Python, SQL, and ML/DL frameworks such as scikit-learn, PyTorch, TensorFlow.</p><p>Expertise in Distributed Computing (Spark, Ray) and Cloud ML platforms (Azure/AWS/GCP).Hands-on experience with MLOps tools &mdash; MLflow, Kubeflow, and feature stores.Strong understanding of Explainability (SHAP, LIME, Captum) and causal inference.Excellent communication, leadership, and data storytelling skills.</p><p>Job Type: Full-time</p><p>Pay: &#8377;600,000.00 - &#8377;1,680,000.00 per year</p><p>Work Location: In person</p>

Data Scientist Lead

Blue Ocean Systems Infotech Pvt. Ltd.

<p>Hiring: Machine Learning / Computer Vision Team Lead</p><p><b>Location</b>: [Navi Mumbai]<br/><b>Type</b>: Full-time</p><p>We&rsquo;re looking for a <b>Machine Learning / Computer Vision Team Lead</b> with strong leadership and hands-on experience in embedded systems and vision-based technologies.</p><p>Responsibilities:</p><ul><li>Team management and mentoring</li><li>Task assignment, follow-up, and ensuring on-time delivery</li><li>Periodic reporting to stakeholders</li><li>Problem-solving and team issue resolution</li><li>SDLC management across projects</li></ul><p>Experience:</p><ul><li>5&ndash;8 years in a related technical field</li><li>Proven track record in work assignment and delivery</li></ul><p>Skills Required:</p><ul><li>Strong programming skills in <b>C++</b> and <b>Python</b></li><li>Experience with <b>GitHub</b> and version control</li><li>Hands-on with <b>Embedded systems</b> and <b>Open projects</b></li><li>SDLC experience in <b>Machine Vision / Computer Vision</b> domains</li></ul><p>If you&rsquo;re ready to lead impactful projects and drive innovation, we&rsquo;d love to hear from you!</p><p>Apply now or share your profile at <b>Kshama.raj@blueocean.systems</b><br/>For queries, contact: <b>+91 9833964181</b></p><p>Job Types: Full-time, Permanent</p><p>Work Location: In person</p>

Machine Learning / Computer Vision Team Lead

Hays

<div>
 <p>
  <strong>
   Location:
  </strong>
  Abu Dhabi, United Arab Emirates
 </p>
 <p>
  <strong>
   Industry:
  </strong>
  Quantitative Research
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are looking for a highly motivated and experienced
  <strong>
   Lead Data Scientist
  </strong>
  to head our data science team in Abu Dhabi.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About the Role:
  </strong>
 </p>
 <p>
  As Lead Data Scientist, you will be responsible for defining and implementing advanced data science solutions, leading a team of 10 professionals. This role requires strong technical expertise, strategic leadership, and hands-on involvement in developing machine learning architectures and models.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities:
  </strong>
 </p>
 <ul>
  <li>
   Provide technical leadership to a team of data scientists and machine learning engineers.
  </li>
  <li>
   Design and implement data solutions for applications in BFSI, quantitative research, and asset management.
  </li>
  <li>
   Develop and optimize ML models, including LLMs and NLP pipelines, in multi-GPU environments.
  </li>
  <li>
   Define scalable and robust architectures for data processing and predictive modeling.
  </li>
  <li>
   Act as the team&rsquo;s technical reference, promoting best practices and continuous innovation.
  </li>
  <li>
   Communicate technical insights clearly to both technical and non-technical stakeholders.
  </li>
  <li>
   Collaborate with cross-functional teams to integrate data capabilities into products and workflows.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What We&rsquo;re Looking For:
  </strong>
 </p>
 <ul>
  <li>
   7+ years of experience in applied data science within BFSI, quantitative research, or asset management.
  </li>
  <li>
   Proven experience in technical leadership and team management.
  </li>
  <li>
   Strong expertise in Machine Learning, LLMs, NLP, and foundational models.
  </li>
  <li>
   Hands-on experience with Python, TensorFlow, PyTorch, Scikit-learn, among others.
  </li>
  <li>
   Ability to work hands-on in complex technical environments.
  </li>
  <li>
   Excellent communication skills in English (written and verbal).
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Academic Background:
  </strong>
 </p>
 <ul>
  <li>
   Master&rsquo;s or PhD in relevant fields, preferably from top-tier universities (Ivy League, Oxbridge, ETH, etc.)
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What We Offer:
  </strong>
 </p>
 <ul>
  <li>
   Competitive, tax-free salary.
  </li>
  <li>
   Visa sponsorship (if needed).
  </li>
  <li>
   Health insurance for you and your family.
  </li>
  <li>
   Annual return ticket to your home country.
  </li>
 </ul>
 <p>
 </p>
</div>


Lead Data Scientist

Flipkart

<div>
 <p>
  <strong>
   <u>
    Research Manager &ndash; Machine Learning (RESEARCH SCIENCES)
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About Data Sciences Group at Flipkart:
  </strong>
 </p>
 <p>
  The Data Sciences team at Flipkart is on a mission to build systemic intelligence across Flipkart products and the overarching ecosystem. Being India&rsquo;s largest online marketplace and the most used e-commerce app in India, places Flipkart in a unique vantage position and gives this team a distinctive opportunity &mdash; to decipher the richest possible data about Indian consumers. Add the dimension of a vast product selection and a proliferating seller base to that and what you get is a multitude of disruptive possibilities.
 </p>
 <p>
  In a nutshell, the terabytes of daily data compounded in Flipkart&rsquo;s data centers offer a dynamic mix of numerical, structured, unstructured, image- and audio-based statistics, all set to define shopping in the future.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What this job entails:
  </strong>
 </p>
 <p>
  As a leader in the space of Data Science, you will lead a team of highly qualified professionals, within the context of a functional unit, with expertise in areas of Machine Learning &amp; Artificial Intelligence. Your team will comprise of Data Scientists. Your primary responsibility will be to strategize and guide the application of data sciences, and leverage data capabilities to drive Flipkart&rsquo;s Business Value Proposition. In simpler terms, you will help build intelligence across Flipkart products. In this role, you will:
 </p>
 <ul>
  <li>
   Closely work with the Data Science team to formulate data-led solutions and models
  </li>
  <li>
   Use advanced Machine Learning techniques to enable key business goals
  </li>
  <li>
   Be a strong proponent of the customer and the business, with the capability to drive efficiency and productivity, and enable automation across the spectrum
  </li>
  <li>
   Should have thorough understanding of key AI and ML techniques &mdash; If not all &mdash; spanning Predictive Modelling, NLP, Text Mining, Classification, Regression, Deep Learning, etc.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Roles &amp; Responsibilities:
  </strong>
 </p>
 <p>
  The Flipkart Data Science team applies capabilities across numerous business problem statements within the e-commerce ecosystem. The application extends across Customer Experience, Supply-Chain, Engineering, Cataloguing and other critical scenarios, with solutions designed around discovery, personalization, intent modelling, demand shaping and planning, insights, sentiment prediction, response matching, fulfilment automation, last-mile optimization, fraud modelling and search&mdash;all of which just form the tip of the iceberg. In this role, you will be responsible to:
 </p>
 <ul>
  <li>
   Help the Data Science team of the functional unit to formulate and architect future AI / ML models for Flipkart Products
  </li>
  <li>
   Guide teams through decisions around applying Data Science and Data Modelling techniques to drive innovation, efficiency productivity and automation within Flipkart&rsquo;s ecosystem
  </li>
  <li>
   Ensure timely deployment of models in a high-pace business, large-scale production environment
  </li>
  <li>
   Coach the Data Science team on various challenges and trade-offs in developing models that can accurately employ real data
  </li>
  <li>
   Build deep partnerships with business, product management, and technology leaders
  </li>
  <li>
   Lead, hire, manage and mentor a team of highly qualified Data Scientist, Data Engineers, Software Engineers ML and Research Scientists
  </li>
  <li>
   Help develop systems-driven framework for tracking the quality, consistency, applicability and performance of data inputs and outcomes
  </li>
  <li>
   Build and leverage tools that allow for democratization and easy consumption and analysis of data across the organization.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Our Associations &amp; Collaborations:
  </strong>
 </p>
 <p>
  Associations and collaborations: The Flipkart Data Science team is also leveraging partnerships with Indian and foreign universities &mdash; like CMU, IIT's, IISc and IIIT&rsquo;s &mdash; for developing class-leading solutions in the e-commerce sector.
 </p>
 <p>
  At Flipkart, the work of a Data Scientist involves collaboration with the engineering and product teams to ensure a holistic outcome at the product delivery. The flat functional structure within Flipkart engineering enables data scientists to focus on excellence and create a deep sense of ownership at every stage of work.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Basic Qualification:
  </strong>
 </p>
 <p>
  Education Qualification: B.Tech / M.Tech in CS/ML/AI Statistics with demonstrable experience through publications / deployed solutions / projects.
 </p>
 <p>
  Should have formally managed small/large teams of DS, data Engineers with DS capabilities for at least 2-4 Yrs.
 </p>
 <p>
  Strong technical skills in machine learning/AI, including optimization, simulation, regression techniques, neural networks, decision trees, cluster analysis, pattern recognition, probability theory, stochastic systems, Bayesian inference, and statistical techniques.
 </p>
 <p>
 </p>
</div>


Data Science Manager

<div>
 Position Summary: We are looking for a visionary and deeply experienced Principal Data Scientist with 15+ years of experience in advanced data science and machine learning, and proven leadership in Generative AI (GenAI) . You will be responsible for conceptualizing and delivering high-impact AI solutions using large language models (LLMs), diffusion models, and other GenAI techniques, while also mentoring teams and influencing AI strategy across the organization. Key Responsibilities: AI Strategy &amp; Leadership Drive the strategic direction of Generative AI initiatives aligned with business objectives. Evaluate, prototype, and implement GenAI technologies (e.g., GPT, Claude, LLaMA, Stable Diffusion). Serve as an AI thought leader, influencing executive decision-making and shaping the company&rsquo;s AI roadmap. Model Development &amp; Deployment Design and build advanced GenAI solutions, including prompt engineering, fine-tuning, and retrieval-augmented generation (RAG). Lead the end-to-end development and deployment of ML/GenAI models into production environments. Develop scalable architectures for serving LLMs and other foundation models. Research &amp; Innovation Stay at the forefront of GenAI advancements by engaging with academic research, open-source communities, and industry forums. Contribute to internal AI research initiatives and explore novel applications of generative models. Publish whitepapers, patents, or present at top AI conferences as applicable. Cross-functional Collaboration Collaborate closely with data engineering, product, design, and business stakeholders to translate complex needs into AI-powered solutions. Educate teams on the capabilities, limitations, and ethical considerations of GenAI. Mentorship &amp; Governance Mentor and coach junior and mid-level data scientists. Establish best practices for model governance, ethical AI, bias mitigation, and model explainability. Define frameworks for AI evaluation, monitoring, and lifecycle management. Required Qualifications: 15+ years of experience in data science, machine learning, or artificial intelligence. Demonstrated expertise in building and deploying GenAI solutions, particularly with large-scale language and vision models. Deep knowledge of ML/DL frameworks (e.g., PyTorch, TensorFlow, Hugging Face, LangChain). Strong programming skills in Python and experience with cloud-based ML platforms (AWS SageMaker, Azure ML, Vertex AI). Strong grounding in statistics, probability, optimization, and deep learning theory. Experience working with multimodal data (text, image, audio, video) and advanced NLP/NLG techniques. Preferred Qualifications: Ph.D. or Master&rsquo;s in Computer Science, Machine Learning, Mathematics, or related field. Experience with enterprise applications of GenAI (e.g., content generation, synthetic data, co-pilots, document understanding). Familiarity with MLOps and AI model lifecycle management in production environments. Knowledge of AI regulations, data privacy, and responsible AI frameworks.
</div>


Assistant Vice President

Intuit

<div><h2 class="jobSectionHeader"><b>Overview</b></h2><div>
Come join our collaborative and creative group of AI scientists and machine learning engineers and build models that directly affect hundreds of thousands of our customers. In this role you will be building and deploying machine learning models using both analytical algorithms and deep learning approaches. We are waiting for you to join us and do the best work of your life.</div><p><b><br>
Responsibilities</b></p><ul><li>
Practices excellent leadership and communication skills to influence and lead teams and to evangelize AI science across the organization</li><li>
Leads team&rsquo;s work in one or more of: ML, NLP, Statistics, or Optimization, performs hand-on work in these domains.</li><li>
Weighs ROI considerations of general and tailored capabilities for projects in the team</li><li>
Creates new capabilities that solve critical business problems</li><li>
Pushes the boundaries of ML by developing foundational methods and novel applications from state-of-the-art ML technologies and industry trends</li><li>
Influences business leaders to shape mission critical projects</li><li>
Creates multi-year vision that connects product strategy with technology strategy</li><li>
Drives architecture decisions, influences and contributes to ML platform architecture and strategy</li><li>
Leads team and partners to the successful delivery and integration of ML solutions</li><li>
Conducts design reviews, holds teams to technical and operational rigor.</li><li>
Acts as an advisor in overseeing and mentoring the work of colleagues towards the building of a vibrant practice community</li></ul><div>
Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing pay equity for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.</div><p><b><br>
Qualifications</b></p><ul><li>
PhD/MS in Engineering Mathematics, Statistics, Theoretical/Computational Physics, or related field</li><li>
Solid knowledge of statistical techniques</li><li>
3+ years as either a lead in a AI science role or in a management position in AI science</li><li>
Strong communication skills and proven experience as an influencer at the executive level</li><li>
Hands-on programming experience and expert knowledge in one or more of: ML, NLP, Statistics, or Optimization</li><li>
6+ years&rsquo; experience manipulating large datasets and using databases (e.g. R, SQL, S-Plus, etc.)</li><li>
6+ years&rsquo; experience with a general-purpose programming language (e.g. Python, Scala, etc.)</li></ul><ul><li>
Expert knowledge and hands-on experience with ML pipelines, processes, and design patterns</li><li>
Proven track record of influencing business leaders to shape mission critical projects</li><li>
Proven track record of leading team to successful delivery of ML solutions</li><li>
Strong interpersonal and communication skills in order to effectively contribute to technical teams and make presentations to a variety of technical and business personnel</li></ul><p><br>
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit&reg;: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:</p><div>
Southern California,CA: $237,000 - $320,500</div></div><p></p>

Principal AI Scientist

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